Build a Safer World. TRM Labs provides blockchain analytics and AI solutions to help law enforcement and national security agencies, financial institutions, and cryptocurrency businesses detect, investigate, and disrupt crypto-related fraud and financial crime. TRM’s blockchain intelligence and AI platforms include solutions to trace the source and destination of funds, identify illicit activity, build cases, and construct an operating picture of threats. TRM is trusted by leading agencies and businesses worldwide who rely on TRM to enable a safer, more secure world for all. The Data Platform team collaborates with an experienced group of data scientists, engineers, and product managers to build highly available and scalable data infrastructure for TRM's products and services. As a Senior Data Engineer on the Data Platform team, you will be responsible for executing mission-critical systems and data services that analyze blockchain transaction activity at petabyte scale, and ultimately work to build a safer financial system for billions of people. The impact you’ll have here: - Build highly reliable data services to integrate with dozens of blockchains. - Develop complex ETL pipelines that transform and process petabytes of structured and unstructured data in real-time. - Design and architect intricate data models for optimal storage and retrieval to support sub-second latency for querying blockchain data. - Oversee the deployment and monitoring of large database clusters with an unwavering focus on performance and high availability. - Collaborate across departments, partnering with data scientists, backend engineers, and product managers to design and implement novel data models that enhance TRM’s products. What we’re looking for: - A Bachelor's degree (or equivalent) in Computer Science or a related field. - A proven track record, with 5+ years of hands-on experience in architecting distributed system architecture, guiding projects from initial ideation through to successful production deployment. - Exceptional programming skills in Python, as well as adeptness in SQL or SparkSQL. - Versatility that spans the entire spectrum of data engineering in one or more of the following areas: - In-depth experience with data stores such as Iceberg, Trino, BigQuery, and StarRocks, and Citus. - Proficiency in data pipeline and workflow orchestration tools like Airflow, DBT, etc. - Expertise in data processing technologies and streaming workflows including Spark, Kafka, and Flink. - Competence in deploying and monitoring infrastructure within public cloud platforms, utilizing tools such as Docker, Terraform, Kubernetes, and Datadog. - Proven ability in loading, querying, and transforming extensive datasets. About the Team: - The Data Platform team is the funnel between all of TRM's data world and product world. We care about all layers of stack including petabyte of data stores, pipelines, and processes. - We have quite a big scope as a the team with new and exciting projects every quarter. As a result, we collaborate across the board with most teams at TRM. - We believe in async communication and are also not afraid to jump on a quick huddle if that helps to move things faster. We are both scrappy when the situation demands and also process-oriented when we need to achieve our OKRs. - We are always looking for people who can elevate the quality our tech and our execution. If you enjoy a remote-first and async friendly environment to achieve efficacy and efficiency at petabyte scale, our team could be a great pick for you! - Team members are based in the US across almost all timezones! Our on-call tends to be in EST/PST shift, whatever suits you the best. - We do try to reserve some overlap in the day for meetings. Our north star - no IC spends more than 3-4 hours/week in meetings. Learn about TRM Speed in this position: - Build scalable engines to optimize routine scaling and maintenance tasks like create self-serve automation for creating new pgbouncer, scaling disks, scaling/updating of clusters, etc. - Enable tasks to be faster next time and reducing dependency on a single person. - Identify ways to compress timelines using 80/20 principle. For instance, what does it take to be operational in a new environment? Identify the must have and nice to haves that are need to deploy our stack to be fully operation. Focus on must haves first to get us operational and then use future milestones to harden for customer readiness. We think in terms of weeks and not months. - Identify first version, a.k.a., "skateboards" for projects. For instance, build an observability dashboard within a week. Gather feedback from stakeholders after to identify more needs or bells and whistles to add to the dashboard. About TRM's Engineering Levels: Engineer: Responsible for helping to define project milestones and executing small decisions independently with the appropriate tradeoffs between simplicity, readability, and performance. Provides mentorship to junior engineers, and enhances operational excellence through tech debt reduction and knowledge sharing. Senior Engineer: Successfully designs and documents system improvements and features for an OKR/project from the ground up. Consistently delivers efficient and reusable systems, optimizes team throughput with appropriate tradeoffs, mentors team members, and enhances cross-team collaboration through documentation and knowledge sharing. Staff Engineer: Drives scoping and execution of one or more OKRs/projects that impact multiple teams. Partners with stakeholders to set the team vision and technical roadmaps for one or more products. Is a role model and mentor to the entire engineering organization. Ensures system health and quality with operational reviews, testing strategies, and monitoring rigor. The following represents the expected range of compensation for this role: - Individual pay is determined by skills, qualifications, experience, and location. The compensation details listed in this posting reflect the US base salary only. - The estimated base salary range for this role is $190,000 - $220,000. - Additionally, this role may be eligible to participate in TRM’s equity plan. - Please note – we factor in the different costs for geographies outside the United States. Life at TRM We are building a safer world. That promise shows up in how we work every day. TRM moves quickly. We are a high velocity, high ownership team that expects clarity, follow-through, and impact. People who thrive here are energized by hard problems, experimentation, and continuous feedback. If something takes months elsewhere, it will ship here in days. Our work sits at the intersection of AI, national security, and fighting financial crime. The problems are complex, the stakes are real, and the environment evolves quickly. The pace and intensity of the work reflect the importance of the mission. As a result, the way we operate requires a high level of ownership, adaptability, collaboration, and creative problem-solving. At TRM, you should expect: - Priorities and targets to change quickly as we experiment and iterate - Work that often requires operating with a high degree of ambiguity - A high level of personal ownership and accountability - Close collaboration across teams and functions - Frequent, high-touch communication - Creative problem solving and out-of-the-box thinking - A pace that rewards urgency, adaptability, and outcomes This environment is energizing for people who enjoy building, solving hard problems, and making progress in situations that are not always fully defined. It also requires comfort navigating ambiguity, adjusting course as new information emerges, and maintaining focus and positivity in a fast-moving and intense environment. We also recognize that this style of operating is not for everyone. If you are primarily optimizing for predictability or a consistently balanced workload, we encourage you to use the interview process to pressure test whether this environment is truly the right fit. We want teammates who thrive here, not just survive here. At the same time, many people find this work deeply rewarding. If you are excited by meaningful problems, motivated by ambitious goals, and energized by working alongside mission-driven colleagues, there is a good chance you will find TRM to be an exceptional place to grow and contribute. Learn more: Interviewing at TRM: How We Hire and What Success Looks Like AI Fluency at TRM AI fluency is a baseline expectation at TRM. We believe AI meaningfully changes how top performers operate. We expect every team member to use AI to accelerate and reimagine their craft, not just automate surface tasks. At TRM, AI fluency means you are among the top 10 percent of operators in your function in how you apply AI to: - Accelerate repeatable workflows - Structure and solve problems - Improve output quality - Increase speed and leverage You will be evaluated on applied AI fluency during the interview process. Leadership Principles We hire and grow against three leadership principles. They’re the standards for how we operate, treat each other, and make decisions. - Impact-Oriented Trailblazer: We put customers first and move with speed, focus, and adaptability. We treat every plan like an experiment – test, ship, measure, and iterate quickly. - Master Craftsperson: We care deeply about our craft. We balance speed with high standards, own outcomes end‑to‑end, and invest in getting better everyday. - Inspiring Colleague: We add clarity and energy, not noise. We bring humility, candor, and a one‑team mindset — giving and receiving feedback to make the team stronger. Join our Mission At TRM we care deeply about our craft. We are looking for individuals who want their work to matter, who experiment with speed and rigor, and who take pride in building a safer world for billions of people. If you’re excited by TRM’s mission but don’t check every box, we encourage you to apply — we hire for slope, judgment, and the will to learn fast. TRM is a Series C company with $220M in total funding, backed by Blockchain Capital, Goldman Sachs, Bessemer, Y Combinator, Thoma Bravo, and others. Headquartered in San Francisco, TRM operates as a distributed-first company with hubs in Los Angeles, San Francisco, New York, Washington D.C., London, and Singapore. Privacy Policy and Additional Information By submitting your application, you are agreeing to allow TRM to process your personal information in accordance with the TRM Privacy Policy. Our typical hiring cycles for specialized roles span 24 to 36 months. Accordingly, we retain your personal information for up to 36 months to evaluate your application and to consider you for current and future employment opportunities, unless you request earlier deletion or a different retention period is required or permitted by law. To notify TRM Labs that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. The use of AI tools of any kind (including but not limited to notetakers, interview assistants, and real-time coaching tools such as Otter.ai, Fireflies, Fathom, Cluey, or similar) during TRM interviews is not permitted without prior approval from TRM. TRM uses its own internal tools for note-taking to ensure a consistent and confidential experience for all candidates. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this form. Recruitment agencies TRM Labs does not accept unsolicited agency resumes. Please do not forward resumes to TRM employees. TRM Labs is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company without a signed agreement. Learn More: Company Values | Interviewing | FAQs

About Imagen Imagen Technologies is building the AI-enabled teleradiology practice of the future. We operate the first vertically integrated medical practice and AI development platform focused on reducing diagnostic error and giving radiologists superpowers through industry-leading AI solutions developed in-house. With over $200 million in funding from investors such as Google Ventures and some of the largest clinical networks in the country, we are rapidly expanding this platform across the U.S.—from 22 states and 2.7 million patients in 2025 to more than 35 states and over 5 million patients annually by 2027. We are the fastest-growing teleradiology group in the U.S., and by the end of 2026, we will have the fifth-largest practice in the country. About the Role We’re looking for an experienced Staff Data Engineer to join our team and spearhead the evolution of our AI Data Platform. This internally developed platform is the backbone of our AI development, which has resulted in 6 FDA-cleared AI products aimed at reducing turnaround times and diagnostic error rates. The Staff Data Engineer and their team will manage billions of medical images and reports that are foundational data that will drive the development of Imagen's next generation of diagnostic tools. In this role, you will take ownership of our data infrastructure, leading the technical strategy and development efforts to scale, optimize, and enhance our capabilities. This position is ideal for a hands-on engineer who is passionate about building robust data systems and wants to see their work have a tangible impact on patient outcomes. You'll report to the Head of Engineering and partner closely with Imagen's Chief AI Officer, Product leaders, and engineers to design and ship new software that drives the future of diagnostic imaging. Responsibilities: - Architect and Own the AI Data Platform: You will take full ownership of the technical roadmap and architecture for our multi-petabyte, multi-cloud data platform. Your primary goal will be to ensure our AI teams have reliable, scalable, and performant access to high-quality medical data. - Build and Scale Data Pipelines: Design, build, and maintain robust data ingestion, processing, and transformation pipelines for billions of medical images (e.g., DICOM) and clinical reports. You'll focus on creating systems that are automated, observable, and efficient. - Evaluate, select, and implement a modern workflow orchestration solution (e.g., Airflow, Prefect, Dagster) to manage our end-to-end data pipelines for medical image processing. - Champion Data Quality and Governance: Implement and enforce rigorous data quality frameworks, validation checks, and security protocols. As the steward of our most sensitive data, you will ensure all aspects of the platform are secure and compliant with standards like HIPAA. - Lead Technical Strategy and Best Practices: Establish and champion best practices in data engineering, DataOps, and infrastructure management. You will make key decisions on tooling and technology, driving the technical direction for all data-related initiatives. - Partner with the AI Team: Serve as the primary technical partner and subject matter expert for our AI and research teams. You will collaborate closely with them to understand their data requirements and build solutions that accelerate their model development lifecycle. Required Qualifications: - Mission-driven and passionate about building foundational technology to improve healthcare. - 5+ years of hands-on experience in data engineering or software engineering with a data focus. - 2+ years of experience in a senior or lead role, with a proven track record of owning technical roadmaps and making significant architectural decisions. - Expert-level proficiency in Python and a deep understanding of data structures and algorithms. Mastery of SQL is also required. - Deep expertise with at least one major cloud provider (AWS, GCP, Azure) and proven experience designing and managing solutions in a cloud-native environment. - Hands-on experience with modern data stack technologies, such as: - Workflow orchestration tools (e.g., Airflow, Prefect, Dagster). - Large-scale data processing frameworks (e.g., Spark, Dask). - Infrastructure as Code (IaC) tools (e.g., Terraform, CloudFormation). - Containerization technologies (e.g., Docker, Kubernetes). - Demonstrated experience designing and managing data lakes, data warehouses, or petabyte-scale object storage systems (e.g., S3, GCS). - BS in Computer Science or a related field, or equivalent real-world experience. Preferred Qualifications: - Experience working in a multi-cloud environment and managing cross-cloud data transfer and cost optimization. - Experience with MLOps or building infrastructure that directly supports the machine learning lifecycle. - Familiarity with healthcare data standards and regulations (e.g., HIPAA, DICOM, FHIR). - Direct experience engineering solutions for diverse medical imaging modalities (e.g., CT, MR, XR, Ultrasound). - Experience building systems in a regulated or compliance-heavy industry. Imagen Technologies is a remote-first company, and this job is conducted remotely. The base salary for the position is between $190,000-$230,000, plus bonus, equity and benefits. Please note that the range is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. Imagen is committed to the principle of equal employment opportunity for all employees and applicants for employment and prohibits discrimination and harassment of any kind without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Imagen will not tolerate discrimination or harassment based on any of these characteristics. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Imagen Technologies maintains a Substance Abuse and Testing policy. Being under the influence of alcohol or controlled substances while on the job or while conducting business on Imagen’s behalf is prohibited. Imagen reserves the right to test any applicant or employee for alcohol and/or drug use, subject to compliance with any applicable state and/or federal laws. #LI-DNI

Build a Safer World. TRM Labs provides blockchain analytics and AI solutions to help law enforcement and national security agencies, financial institutions, and cryptocurrency businesses detect, investigate, and disrupt crypto-related fraud and financial crime. TRM’s blockchain intelligence and AI platforms include solutions to trace the source and destination of funds, identify illicit activity, build cases, and construct an operating picture of threats. TRM is trusted by leading agencies and businesses worldwide who rely on TRM to enable a safer, more secure world for all. As a Senior Data Engineer on the Graph Analytics team, you will build scalable graph systems that analyze large networks of cryptocurrency transactions. You will collaborate closely with engineers, data scientists, and investigators to design mission-critical graph algorithms that analyze flows of funds. You will leverage distributed databases and graph processors to implement real-time graph algorithms at the multi-blockchain scale. You will collaborate with data science teams to identify opportunities to apply tools and techniques from graph theory to a variety of predictive learning problems. The impact you will have: - Designing and implementing graph algorithms that analyze large cryptocurrency transaction networks at multi-blockchain scale - Researching new graph-native technology to evaluate benefit to data science and data engineering teams at TRM - Working on a highly cross-functional team that collaborates with cryptocurrency investigators to identify key user stories and requirements for new graph algorithms and features - Understanding and refining TRM’s risk models which analyze large networks of cryptocurrency transactions to assign risk scores to addresses - Communicating complex implementation details to a variety of audiences from investigators and customer success stakeholders to data engineers and data scientists - Integrating with a diverse set of data inputs ranging from raw blockchain data to complex model outputs What we’re looking for: - Your academic background is in a quantitative field such as Computer Science, Mathematics, Engineering, or Physics. - You have strong knowledge of algorithm design and data structures, and have experience applying this knowledge towards real-world problems. - You have experience optimizing large-scale distributed data processing systems such as Apache Spark, Apache Hadoop, Dask, and distributed graph databases. - You have experience converting academic research into products and have worked with research teams that regularly ship new features. - You have strong programming experience with Python and SQL. - You are an excellent communicator who is skilled at tailoring explanations of complex topics to both technical and non-technical audiences. - You are self-motivated. You propose and validate solutions with minimal guidance. You're comfortable working with ambiguity and shaping your own research direction while being accountable for outcomes. - You are knowledgeable of basic graph theory concepts. About the Team: - Our team is spread out over several countries and time zones. To leverage the opportunities and address challenges that come with this working model, we've built a culture grounded in trust, transparency, and adaptability. Even though we're scattered across different time zones, we stay closely connected through open communication and regular check-ins. Our use of digital tools helps us collaborate seamlessly and work at an impressive pace, delivering results at TRM speed while staying in sync. The diversity of perspectives and expertise within our team sparks creative exchanges and enhances our problem-solving capabilities, allowing us to leverage our global synergy to drive innovation and efficiency. - We're driven by a deep sense of ownership, constant pursuit of improvement and an obsession with delivering magical experiences to our customers; these are a core part of our culture. We're driven by the desire to continuously hone our craft and to this end, we regularly assess our processes, seek feedback, and embrace iterative development to refine what we do. We structure problems and use the 80/20 rule(for many outcomes, roughly 80% of consequences come from 20% of causes) to identify where to direct our razor-sharp focus. Each of us is passionate about excellence and growth, and we're encouraged to challenge the status quo and experiment with new methods. This mindset creates an environment where innovation is part of our daily routine and every team member is an impact-oriented trailblazer. By celebrating our successes and learning from our setbacks, we stay agile and forward-thinking, always striving to elevate our performance and impact. Learn about TRM Speed in this position: - The team received a request from customers to show the running balance for assets tied to an address within the product. They brainstormed to determine the minimal viable solution that could be delivered within two weeks. The team decided to develop a framework that would facilitate enabling this feature for each chain (such as BTC, ETH, etc.) individually. They successfully implemented and tested this solution for the BTC chain and delivered it to customers within the two-week timeframe. This approach allowed the team to quickly provide value to customers and establish a repeatable process. - The team was tasked with implementing a new feature that would enable TRM to gather feedback from the user community swiftly. Due to the company's goal of showcasing the feature at an upcoming event, the timeline was tight. The team quickly adjusted to the request, assessed the requirements, and developed a solution that addressed 80% of the needs and could be executed within a very short timeframe. They successfully delivered the feature on schedule, impressing customers with both the functionality and the speed of execution. - The team was tasked with developing a solution to reveal Indirect Exposure through cross-chain swaps in response to a competitor's similar feature. Before choosing the technical approach, the team consulted with stakeholders to establish a feasible timeline for the implementation. With this input, the team devised a solution that fit the timeline, communicated the tradeoffs to stakeholders, and successfully delivered the solution as promised. About TRM's Engineering Levels: Engineer: Responsible for helping to define project milestones and executing small decisions independently with the appropriate tradeoffs between simplicity, readability, and performance. Provides mentorship to junior engineers, and enhances operational excellence through tech debt reduction and knowledge sharing. Senior Engineer: Successfully designs and documents system improvements and features for an OKR/project from the ground up. Consistently delivers efficient and reusable systems, optimizes team throughput with appropriate tradeoffs, mentors team members, and enhances cross-team collaboration through documentation and knowledge sharing. Staff Engineer: Drives scoping and execution of one or more OKRs/projects that impact multiple teams. Partners with stakeholders to set the team vision and technical roadmaps for one or more products. Is a role model and mentor to the entire engineering organization. Ensures system health and quality with operational reviews, testing strategies, and monitoring rigor. Life at TRM We are building a safer world. That promise shows up in how we work every day. TRM moves quickly. We are a high velocity, high ownership team that expects clarity, follow-through, and impact. People who thrive here are energized by hard problems, experimentation, and continuous feedback. If something takes months elsewhere, it will ship here in days. Our work sits at the intersection of AI, national security, and fighting financial crime. The problems are complex, the stakes are real, and the environment evolves quickly. The pace and intensity of the work reflect the importance of the mission. As a result, the way we operate requires a high level of ownership, adaptability, collaboration, and creative problem-solving. At TRM, you should expect: - Priorities and targets to change quickly as we experiment and iterate - Work that often requires operating with a high degree of ambiguity - A high level of personal ownership and accountability - Close collaboration across teams and functions - Frequent, high-touch communication - Creative problem solving and out-of-the-box thinking - A pace that rewards urgency, adaptability, and outcomes This environment is energizing for people who enjoy building, solving hard problems, and making progress in situations that are not always fully defined. It also requires comfort navigating ambiguity, adjusting course as new information emerges, and maintaining focus and positivity in a fast-moving and intense environment. We also recognize that this style of operating is not for everyone. If you are primarily optimizing for predictability or a consistently balanced workload, we encourage you to use the interview process to pressure test whether this environment is truly the right fit. We want teammates who thrive here, not just survive here. At the same time, many people find this work deeply rewarding. If you are excited by meaningful problems, motivated by ambitious goals, and energized by working alongside mission-driven colleagues, there is a good chance you will find TRM to be an exceptional place to grow and contribute. Learn more: Interviewing at TRM: How We Hire and What Success Looks Like AI Fluency at TRM AI fluency is a baseline expectation at TRM. We believe AI meaningfully changes how top performers operate. We expect every team member to use AI to accelerate and reimagine their craft, not just automate surface tasks. At TRM, AI fluency means you are among the top 10 percent of operators in your function in how you apply AI to: - Accelerate repeatable workflows - Structure and solve problems - Improve output quality - Increase speed and leverage You will be evaluated on applied AI fluency during the interview process. Leadership Principles We hire and grow against three leadership principles. They’re the standards for how we operate, treat each other, and make decisions. - Impact-Oriented Trailblazer: We put customers first and move with speed, focus, and adaptability. We treat every plan like an experiment – test, ship, measure, and iterate quickly. - Master Craftsperson: We care deeply about our craft. We balance speed with high standards, own outcomes end‑to‑end, and invest in getting better everyday. - Inspiring Colleague: We add clarity and energy, not noise. We bring humility, candor, and a one‑team mindset — giving and receiving feedback to make the team stronger. Join our Mission At TRM we care deeply about our craft. We are looking for individuals who want their work to matter, who experiment with speed and rigor, and who take pride in building a safer world for billions of people. If you’re excited by TRM’s mission but don’t check every box, we encourage you to apply — we hire for slope, judgment, and the will to learn fast. TRM is a Series C company with $220M in total funding, backed by Blockchain Capital, Goldman Sachs, Bessemer, Y Combinator, Thoma Bravo, and others. Headquartered in San Francisco, TRM operates as a distributed-first company with hubs in Los Angeles, San Francisco, New York, Washington D.C., London, and Singapore. Privacy Policy and Additional Information By submitting your application, you are agreeing to allow TRM to process your personal information in accordance with the TRM Privacy Policy. Our typical hiring cycles for specialized roles span 24 to 36 months. Accordingly, we retain your personal information for up to 36 months to evaluate your application and to consider you for current and future employment opportunities, unless you request earlier deletion or a different retention period is required or permitted by law. To notify TRM Labs that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. The use of AI tools of any kind (including but not limited to notetakers, interview assistants, and real-time coaching tools such as Otter.ai, Fireflies, Fathom, Cluey, or similar) during TRM interviews is not permitted without prior approval from TRM. TRM uses its own internal tools for note-taking to ensure a consistent and confidential experience for all candidates. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this form. Recruitment agencies TRM Labs does not accept unsolicited agency resumes. Please do not forward resumes to TRM employees. TRM Labs is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company without a signed agreement. Learn More: Company Values | Interviewing | FAQs

Build a Safer World. TRM Labs provides blockchain analytics and AI solutions to help law enforcement and national security agencies, financial institutions, and cryptocurrency businesses detect, investigate, and disrupt crypto-related fraud and financial crime. TRM’s blockchain intelligence and AI platforms include solutions to trace the source and destination of funds, identify illicit activity, build cases, and construct an operating picture of threats. TRM is trusted by leading agencies and businesses worldwide who rely on TRM to enable a safer, more secure world for all. The Data Platform team collaborates with an experienced group of data scientists, engineers, and product managers to build highly available and scalable data infrastructure for TRM's products and services. As a Senior Data Engineer on the Data Platform team, you will be responsible for executing mission-critical systems and data services that analyze blockchain transaction activity at petabyte scale, and ultimately work to build a safer financial system for billions of people. The impact you’ll have here: - Build highly reliable data services to integrate with dozens of blockchains. - Develop complex ETL pipelines that transform and process petabytes of structured and unstructured data in real-time. - Design and architect intricate data models for optimal storage and retrieval to support sub-second latency for querying blockchain data. - Oversee the deployment and monitoring of large database clusters with an unwavering focus on performance and high availability. - Collaborate across departments, partnering with data scientists, backend engineers, and product managers to design and implement novel data models that enhance TRM’s products. What we’re looking for: - A Bachelor's degree (or equivalent) in Computer Science or a related field. - A proven track record, with 8+ years of hands-on experience in architecting distributed system architecture, guiding projects from initial ideation through to successful production deployment. - Exceptional programming skills in Python, as well as adeptness in SQL or SparkSQL. - Versatility that spans the entire spectrum of data engineering in one or more of the following areas: - In-depth experience with data stores such as ClickHouse, ElasticSearch, Postgres, Redis, and Neo4j. - Proficiency in data pipeline and workflow orchestration tools like Airflow, DBT, Luigi, Azkaban, and Storm. - Expertise in data processing technologies and streaming workflows including Spark, Kafka, and Flink. - Competence in deploying and monitoring infrastructure within public cloud platforms, utilizing tools such as Docker, Terraform, Kubernetes, and Datadog. - Proven ability in loading, querying, and transforming extensive datasets. About the Team: - The Data Platform team is the funnel between all of TRM's data world and product world. We care about all layers of stack including petabyte of data stores, pipelines, and processes. - We have quite a big scope as a the team with new and exciting projects every quarter. As a result, we collaborate across the board with most teams at TRM. - We believe in async communication and are also not afraid to jump on a quick huddle if that helps to move things faster. We are both scrappy when the situation demands and also process-oriented when we need to achieve our OKRs. - We are always looking for people who can elevate the quality our tech and our execution. If you enjoy a remote-first and async friendly environment to achieve efficacy and efficiency at petabyte scale, our team could be a great pick for you! - Team members are based in the US across almost all timezones! Our on-call tends to be in EST/PST shift, whatever suits you the best. - We do try to reserve some overlap in the day for meetings. Our north star - no IC spends more than 3-4 hours/week in meetings. Learn about TRM Speed in this position: - Build scalable engines to optimize routine scaling and maintenance tasks like create self-serve automation for creating new pgbouncer, scaling disks, scaling/updating of clusters, etc. - Enable tasks to be faster next time and reducing dependency on a single person. - Identify ways to compress timelines using 80/20 principle. For instance, what does it take to be operational in a new environment? Identify the must have and nice to haves that are need to deploy our stack to be fully operation. Focus on must haves first to get us operational and then use future milestones to harden for customer readiness. We think in terms of weeks and not months. - Identify first version, a.k.a., "skateboards" for projects. For instance, build an observability dashboard within a week. Gather feedback from stakeholders after to identify more needs or bells and whistles to add to the dashboard. About TRM's Engineering Levels: Engineer: Responsible for helping to define project milestones and executing small decision decisions independently with the appropriate tradeoffs between simplicity, readability, and performance. Provides mentorship to junior engineers, and enhances operational excellence through tech debt reduction and knowledge sharing. Senior Engineer: Successfully designs and documents system improvements and features for an OKR/project from the ground up. Consistently delivers efficient and reusable systems, optimizes team throughput with appropriate tradeoffs, mentors team members, and enhances cross-team collaboration through documentation and knowledge sharing. Staff Engineer: Drives scoping and execution of one or more OKRs/projects that impact multiple teams. Partners with stakeholders to set the team vision and technical roadmaps for one or more products. Is a role model and mentor to the entire engineering organization. Ensures system health and quality with operational reviews, testing strategies, and monitoring rigor. Life at TRM We are building a safer world. That promise shows up in how we work every day. TRM moves quickly. We are a high velocity, high ownership team that expects clarity, follow-through, and impact. People who thrive here are energized by hard problems, experimentation, and continuous feedback. If something takes months elsewhere, it will ship here in days. Our work sits at the intersection of AI, national security, and fighting financial crime. The problems are complex, the stakes are real, and the environment evolves quickly. The pace and intensity of the work reflect the importance of the mission. As a result, the way we operate requires a high level of ownership, adaptability, collaboration, and creative problem-solving. At TRM, you should expect: - Priorities and targets to change quickly as we experiment and iterate - Work that often requires operating with a high degree of ambiguity - A high level of personal ownership and accountability - Close collaboration across teams and functions - Frequent, high-touch communication - Creative problem solving and out-of-the-box thinking - A pace that rewards urgency, adaptability, and outcomes This environment is energizing for people who enjoy building, solving hard problems, and making progress in situations that are not always fully defined. It also requires comfort navigating ambiguity, adjusting course as new information emerges, and maintaining focus and positivity in a fast-moving and intense environment. We also recognize that this style of operating is not for everyone. If you are primarily optimizing for predictability or a consistently balanced workload, we encourage you to use the interview process to pressure test whether this environment is truly the right fit. We want teammates who thrive here, not just survive here. At the same time, many people find this work deeply rewarding. If you are excited by meaningful problems, motivated by ambitious goals, and energized by working alongside mission-driven colleagues, there is a good chance you will find TRM to be an exceptional place to grow and contribute. Learn more: Interviewing at TRM: How We Hire and What Success Looks Like AI Fluency at TRM AI fluency is a baseline expectation at TRM. We believe AI meaningfully changes how top performers operate. We expect every team member to use AI to accelerate and reimagine their craft, not just automate surface tasks. At TRM, AI fluency means you are among the top 10 percent of operators in your function in how you apply AI to: - Accelerate repeatable workflows - Structure and solve problems - Improve output quality - Increase speed and leverage You will be evaluated on applied AI fluency during the interview process. Leadership Principles We hire and grow against three leadership principles. They’re the standards for how we operate, treat each other, and make decisions. - Impact-Oriented Trailblazer: We put customers first and move with speed, focus, and adaptability. We treat every plan like an experiment – test, ship, measure, and iterate quickly. - Master Craftsperson: We care deeply about our craft. We balance speed with high standards, own outcomes end‑to‑end, and invest in getting better everyday. - Inspiring Colleague: We add clarity and energy, not noise. We bring humility, candor, and a one‑team mindset — giving and receiving feedback to make the team stronger. Join our Mission At TRM we care deeply about our craft. We are looking for individuals who want their work to matter, who experiment with speed and rigor, and who take pride in building a safer world for billions of people. If you’re excited by TRM’s mission but don’t check every box, we encourage you to apply — we hire for slope, judgment, and the will to learn fast. TRM is a Series C company with $220M in total funding, backed by Blockchain Capital, Goldman Sachs, Bessemer, Y Combinator, Thoma Bravo, and others. Headquartered in San Francisco, TRM operates as a distributed-first company with hubs in Los Angeles, San Francisco, New York, Washington D.C., London, and Singapore. Privacy Policy and Additional Information By submitting your application, you are agreeing to allow TRM to process your personal information in accordance with the TRM Privacy Policy. Our typical hiring cycles for specialized roles span 24 to 36 months. Accordingly, we retain your personal information for up to 36 months to evaluate your application and to consider you for current and future employment opportunities, unless you request earlier deletion or a different retention period is required or permitted by law. To notify TRM Labs that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. The use of AI tools of any kind (including but not limited to notetakers, interview assistants, and real-time coaching tools such as Otter.ai, Fireflies, Fathom, Cluey, or similar) during TRM interviews is not permitted without prior approval from TRM. TRM uses its own internal tools for note-taking to ensure a consistent and confidential experience for all candidates. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this form. Recruitment agencies TRM Labs does not accept unsolicited agency resumes. Please do not forward resumes to TRM employees. TRM Labs is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company without a signed agreement. Learn More: Company Values | Interviewing | FAQs