Role Description We are looking for a Software Engineer who is eager to learn and grow while helping build and support Linux- and cloud-based data systems. In this role, you’ll work closely with experienced engineers to contribute to AWS-based data ingestion, ETL, and storage solutions that enable analytics, simulation, and ML training across the company. - Create robust and resilient pipelines to process massive daily volumes of data created by vehicle fleets and simulation environments. - Build and support scalable pipelines as part of Torc’s Data Factory to deliver data for ML training at scale. - Scale Torc’s data lake through a distributed storage system, data crawling and discovery. - Promote and protect the integrity of data through validation, versioning, data provenance, and governance. - Support the expansion of Torc’s data lake through acquisition of additional data sets from internal and external sources. - Assist in the development and delivery of cloud-based solutions. - Collaborate with teams specializing in perception, planning, control, mapping and vehicle testing to develop solutions that support product delivery. - Support the implementation of emerging cloud-based capabilities that can extend our technology stack and improve our ability to build, deploy and test safety-critical software for self-driving vehicles. - Participate in the team’s on-call rotation to support our deployed systems during business hours. Here’s a list of some of the technologies we use to make all the above happen: - Managed services powered by AWS (Lambda, SFN, Batch, EventBridge, Athena, Glue) - Linux / Bash - Docker - Terraform - Python - React/Javascript - On-Call Tooling (Datadog, AWS Cloudwatch) - Databricks Qualifications - BS/MS Degree in Computer Engineering, Computer Science, or related field. - Experience writing code using Python. - Practical experience with Docker and containerization. - A strong commitment to test-driven development patterns, continuous integration and delivery, and infrastructure as code. - Experience with Linux and general bash scripting. - Experience deploying, troubleshooting, monitoring and maintaining Linux systems. Requirements - Strong organizational, time management, and communication skills working with a team orientation and collaborative style. - Experience developing cloud-based serverless solutions. - Experience with pandas, numpy and other Python-based data analysis libraries and tooling. - Knowledge of AWS serverless architectures (Lambda, Batch, ECS Fargate, Glue, Athena). - Experience with data storage and acquisition patterns for robotics and advanced driver assistance systems. - Knowledge of different database architectures, including but not limited to relational and NoSQL databases, vector stores, data warehousing and clustered, distributed data stores. - Experience with the Databricks platform, particularly for serving data, visualizations and jobs. - Experience with scaling data for ML and AI workloads using Ray. Benefits - A competitive compensation package that includes a bonus component and stock options. - 100% paid medical, dental, and vision premiums for full-time employees. - 401K plan with a 6% employer match. - Flexibility in schedule and generous paid vacation (available immediately after start date). - AD+D and Life Insurance.

• Design, build, and maintain scalable data pipelines using Python, Spark, and Airflow to support our core data acquisition and entity resolution engines. • Collaborate cross-functionally with AI/ML and Product teams to implement new features and AI-native products. • Proactively identify and resolve bottlenecks in our complex ETL processes, bringing a fresh perspective to refine and optimize our existing codebase. • Contribute to a robust engineering culture through rigorous code reviews, unit testing, and clear communication of design decisions. • Own the end-to-end delivery of roadmap tasks within two-week sprints, ensuring work meets high standards for quality, documentation, and performance. • Participate in roadmap planning and story refinement, eventually taking ownership of major epics that drive our long-term product defensibility.

Role Description Own the design, development, and maintenance of data models within Snowflake that serve as the foundation for business metrics, reporting, and analytics across the organization. - Partner closely with business stakeholders to translate operational definitions and KPIs into reliable, well-documented data structures. - Build and maintain dbt models that power our core metrics layer, ensuring accuracy, consistency, and reusability across teams. - Manage and evolve our Snowflake data warehouse, including schema design, performance optimization, and data organization best practices. - Collaborate with analytics and BI teams to ensure the data layer supports self-serve reporting and business review cadences. - Contribute to data modeling standards and best practices that allow the team to scale with confidence. - Participate in strategic discussions around data architecture and help evaluate trade-offs across build vs. buy decisions. Qualifications - 5+ years of experience in a data engineering or analytics engineering role. - Strong proficiency in SQL and hands-on experience with Snowflake, including warehouse management, query optimization, and data modeling patterns. - Experience with dbt (Core or Cloud) for building and maintaining modular, tested transformation pipelines. - Demonstrated ability to work closely with business stakeholders to define and implement metrics and data definitions — not just build pipelines. - Solid understanding of dimensional modeling, data vault, or other warehouse modeling approaches. - Experience with workflow orchestration tools such as Airflow, Dagster, or Prefect. - Hands-on experience with AWS data services - S3, MWAA, and CloudWatch - supporting production data pipelines in a cloud-native environment. - Ability to work through ambiguity and exercise good judgment when translating loosely defined business requirements into structured data models. - Bachelor's degree in Computer Science, Engineering, Math, or a related field, or equivalent practical experience. Requirements - The base salary range for this role varies by location and is aligned to market benchmarks. - Candidates located in higher-cost labor markets, including California, Washington, New York, New Jersey, Connecticut, Massachusetts, and Washington, DC represent the middle to high end of the range, while candidates located in all other U.S. locations represent the low to middle end of the range. - Final compensation is determined based on location, experience, skills, and internal equity. Benefits - This role is eligible for a 10% target annual bonus. - Base Salary: $160,000 - $174,000. - Total Target Compensation (TTC): $176,000 - $191,400. - *Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.). Additionally, stock options, paid benefits, and employee perks are part of your total rewards. Company Description We’re Cleerly – a healthcare company that’s revolutionizing how heart disease is diagnosed, treated, and tracked. - Founded in 2017 by one of the world’s leading cardiologists. - Raised $223M in Series C funding in 2022. - Received an additional $106M in Series C extension funding in December 2024. - Most teams work remotely with access to offices in Denver, New York, Dallas, and Lisbon. - Committed to providing safe and effective medical software that meets customer needs.

Title: Senior Data Analytics Engineer - FinTech Location: Remote - UK Department: Technology Job Description: Description Join Zepz: Breaking Down Borders, Together Our Meaningful Mission At Zepz, we're all about breaking down barriers for our customers and our teammates. Our purpose is deeply personal, we provide a lifeline and deliver opportunities to cross-border communities that need it most through cutting edge finance and tech. Zepz is the power behind WorldRemit and Sendwave, driven by the mission to celebrate the incredible impact migrants have, both at home and abroad. We're not just moving money; we're building a world that truly recognizes and supports global connections. Who You'll Be Joining We look for mission-driven builders who thrive in a fast-paced environment connected to a true purpose. We’re an always developing team of experts that enjoy problem solving and bring clarity to tough challenges. At Zepz, we are Relentless Learners, always seeking feedback, and Responsible Owners, treating company resources like your own. We depend on Transparent Communicators who keep the team aligned through open, honest talk. Our Core Commitments — What We Live By Our vibrant and truly diverse culture is built on three core commitments, that guide how we work and interact: - Integrity: We always do the right thing. It’s simple, but it’s the foundation of everything we build for our customers and each other. - Outcomes: We work for our customers. Their success and prosperity are the results we focus on delivering. - Velocity: We are fast! We maintain high energy levels and make smart decisions quickly, keeping us nimble and ahead of the curve. Perks of Joining Our Team We believe in empowering colleagues because we genuinely trust our team. Our culture is founded on this high trust, which naturally encourages the high ownership that drives us to meet our shared high expectations and deliver high performance. Our remote-first culture means you have the flexibility to work in your employing country wherever you feel the most focused and productive. This freedom comes with wonderful tailored, location-specific perks designed to support your whole life, not just your work. Think unlimited annual leave , great healthcare benefits, and employee discounts. We want you to thrive and focus entirely on making your biggest impact! In turn, we expect you to bring high ownership and commitment to your work. This is a place where we value trust and high performance, and we'll provide the environment and support needed for you to excel. About the Role We are seeking a highly skilled and experienced Data Analytics Engineer to join our dynamic team. This is a senior-level Individual Contributor (IC) role where you will operate with a high degree of independence. You will focus on supporting critical data needs and developing foundational data models that are essential for driving our cross-border remittances business forward. You will act as a technical lead on projects, leveraging your analytical and problem-solving skills to build robust and scalable data solutions. What you bring to the table - Experience: Proven experience in analytics engineering, data engineering, or a similar role. - Industry Experience: Proven experience in the financial services or FinTech industry, particularly with cross-border payments. - Technical Skills: Proficiency in SQL and at least one programming language (e.g., Python) is required for data manipulation and scripting. - Data Technologies: Hands-on experience with data warehouse technologies, specifically Databricks. - Problem-Solving: Excellent analytical and problem-solving skills with strong attention to detail. - Communication: Strong communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders and partners. What you will focus on - Technical Project Management: Independently lead technical projects from conception to deployment. You will be responsible for defining timelines, managing resources, and ensuring the delivery of high-quality data solutions without constant supervision. - Business Partnership: Collaborate with data analysts, and business stakeholders to translate commercial objectives into well-defined technical projects. You will act as a primary point of contact for partners, ensuring they have reliable self-serve data for strategic decision-making. - Advanced Data Analytics: utilize Python and SQL to perform deep-dive analytics and build automated scripts. You will also utilize tools like Excel for rapid prototyping and business-facing reporting. - Reconciliation & Financial Integrity: Oversee data reconciliation processes to ensure financial accuracy. (Experience with tools such as AutoRek or ReconArt is highly valued here). - Tooling & Optimization: Lead the adoption of data transformation tools to empower teams in their data-driven decision-making processes. Preferred Qualifications / Experience - Reconciliation Tools: Experience with AutoRek, ReconArt, or similar financial reconciliation software. - BI & Visualization: Proficiency with business intelligence tools such as Tableau, PowerBI, or Looker. - Cloud Infrastructure: Experience working within the AWS ecosystem. AI Literacy & Tools As Zepz continues to build AI into how we work, we expect everyone to engage with it as a core part of their role. For this position we are looking for: - A genuine curiosity about AI and how it can be applied in your area of work — from accelerating analysis and insight generation, to improving how we design and deliver processes and communications. - Practical experience using AI tools in a professional context — whether to connect information, draft content, build frameworks, or create insights from data. We want people who actively use AI to increase productivity, not those who are waiting to be told to. - Strong AI literacy — an understanding of what AI assistants can and cannot do, how to prompt effectively, and how to critically evaluate AI-generated output before using it. - Awareness of the ethical considerations and responsible use of AI in the workplace, particularly in the context of sensitive data, customer experience, and compliance. - Prior experience using Claude (Anthropic) is a nice-to-have but not essential — what matters most is that you are genuinely engaged with AI as a tool, comfortable experimenting, and eager to share what works with your wider team. If you want to join us in our journey to help break barriers in financial access and improve lives globally, there's no better place or time to join. Our global team of 800+ people is spread across six continents. We aspire to hire the best mix of people from former Olympians to YouTube influencers and we speak over twenty languages. This incredible diversity isn't a bonus; it's the engine that lets us serve the world. Ready to Apply? Let’s Go!