• Design, build, and maintain scalable systems for ingestion, transformation, and storage of data, with a focus on testing and observability. • Implement frameworks, tooling, and automation to safely increase development velocity. • Develop foundational end-to-end AI/ML workflows from (1) source ingestion and preparation, (2) training and tuning, (3) experimentation and productionization, and (4) downstream systems integration (EHR modules, micro-services, dashboards). • Support iterative model development and production operations and observability (accuracy, drift, bias, fairness, reproducibility). • Contribute to a culture of continuous improvement, knowledge-sharing and mentoring of peer engineers. • Leverage AI tools as a core part of daily work (drafting, research, iteration) to improve efficiency, quality, and decision-making.

About Us. Trumid is a dynamic fintech revolutionizing the landscape of fixed income trading. With intelligent, easy-to-use, electronic solutions, we are rapidly growing and seeking exceptional talent to help redefine the boundaries of technology and finance. Founded in 2014 by a team of fixed income market experts, Trumid has quickly become one of the top three corporate bond e-trading platforms in the U.S. Today, over 1,300 traders from an extensive and expanding client network of 890+ buy-and sell-side institutions transact on Trumid monthly. With a rich history of innovation and a unique ability to innovate at scale, we collaborate closely with our clients, iterating quickly toward optimal solutions. With market share and client engagement at all-time highs and our pace of product development faster than ever, this is an exciting and transformative time at Trumid. Our business model thrives on participation, and so does our company culture. We rely on every team member’s contribution to help us accomplish our goals. To succeed at Trumid, you must be curious, passionate about your craft, ambitious, collaborative, and driven. The Opportunity. Trumid is seeking a Senior Data Engineer to join our Data & Intelligence team and build the analytics platform that powers reporting, decision-making, and data delivery across the organization. In this role, you will use dbt to design and implement scalable data models in BigQuery aimed at making complex data digestible for internal and external stakeholders via reports and BI tools as well as agentic AI products within our tech stack. This role focuses primarily on building the data models and datasets that power analytics and reporting, rather than working exclusively on dashboards. As part of the broader data platform team, engineers may occasionally contribute to reporting or visualization work when needed to support stakeholders. You will also help establish best practices for data governance, documentation, testing, and metric definition across the analytics platform. This position is U.S.-based, with remote or hybrid options available. Candidates located in New York City are preferred. The Tech Stack. BigQuery, dbt, Fivetran, SQL-based data modeling, and modern analytics and semantic layer tools. We rely heavily on AI-powered IDEs and agentic workflows for development. What You'll Build. - Curated data models in BigQuery using dbt that define consistent business metrics across Trumid - Data delivery systems that support dashboards, client-facing reporting, compliance datasets, and other external data products - Governed datasets and documentation that enable self-service analytics across the organization Key Responsibilities. - Design and implement scalable data models in BigQuery using dbt that power analytics, reporting, and operational insights - Develop systems for delivering data to internal stakeholders and external clients - Maintain data governance practices including documentation, lineage, testing, and data quality standards - Optimize query performance and cost efficiency for analytics workloads in BigQuery - Partner closely with product, sales, analytics, and executive stakeholders to translate business requirements into reliable data models - Mentor engineers and analysts on analytics engineering and data modeling best practices - Contribute to the broader data platform, collaborating with engineers building real-time data systems and infrastructure About you. - 5+ years of experience building analytics or data platform infrastructure - Strong expertise in SQL and dbt, including complex transformation logic and data modeling - Experience designing data warehouse models in BigQuery or similar cloud data warehouses - Strong understanding of data modeling patterns in columnar databases - Experience building curated datasets used by analysts and business stakeholders - Experience working with modern data stack tools such as Fivetran or similar ingestion frameworks - Strong communication skills and ability to collaborate with non-technical stakeholders We are hiring for multiple roles and levels on this team. Candidates whose experience aligns more closely with another level may be considered for that role during the interview process. Employee benefits. - Highly competitive compensation - Fully paid medical, dental and vision coverage - Remote work - Team-oriented and collaborative company culture In compliance with New York City Pay Transparency Law, the base salary range for this role in New York City is between $200- $250,000. This range does not include discretionary bonus or other forms of compensation or benefits offered in connection with this job. Several factors are considered when determining a candidate’s compensation. Please note that the salary range listed for this position is based on the level of experience outlined in the job description. If a candidate's experience differs from the requirements, the salary may be adjusted accordingly. Trumid is an equal opportunity employer. Please note: All communication from Trumid's recruiting team comes from @trumid.com email addresses. We conduct remote interviews via Zoom only. We will never ask you to purchase equipment, download software (other than Zoom), or share sensitive personal information during the hiring process.

• Build and maintain ETL/ELT data pipelines in Databricks and Spark, ensuring data is ingested, transformed, and delivered reliably for analytics and AI use cases. • Develop and evolve logical and physical data models to support reporting, experimentation, and advanced workflows (e.g., scoring models, signal generation). • Implement monitoring, alerts, and testing for data quality, timeliness, and lineage to ensure trustworthy data delivery. • Support workflow orchestration with Databricks Jobs, DBT, or equivalent scheduling tools to operate at scale. • Contribute to data pipelines and tooling that support retrieval-augmented generation (RAG), vector integrations, or embedding workflows. • Design and optimize bulk GenAI data pipelines in Databricks to support generative AI applications at scale. • Partner with AI engineers and data scientists to enable experimentation, model training, and production-grade deployments. • Develop frameworks for data ingestion, transformation, governance, and monitoring across CRM, sales, and revenue systems. • Work with RevOps, sales, and customer success stakeholders to translate business needs into data requirements and stable technical implementations.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The Motley Fool is looking for a highly skilled Freelance Data Architect specializing in Snowflake to join our team on an independent contract basis, 40 hours per week. This is a mid to senior level position and requires 5+ years of relevant experience. While this role is flexible and 100% remote, candidates must be located in the United States for consideration. The Data Democratization, Governance & Strategy team at The Motley Fool is dedicated to making data accessible and actionable for all business end-users. We specialize in the final stretch of data delivery, transforming warehouse data into easily consumable formats. By working collaboratively with third-party vendors and stakeholders, we build data structures that support seamless reporting and valuable business insights. Our close partnerships with business analysts and data engineering ensures that every team at The Motley Fool can leverage data to drive informed decisions and strategic growth. What would you do in this role? - Evaluate and optimize the reporting layer of our Snowflake data warehouse to enhance cost efficiency and compute utilization. - Develop and implement strategies to improve query performance, reduce data processing time, and enhance overall efficiency. - Collaborate closely with the data engineering team to implement optimizations without compromising data integrity or security. Snowflake Optimization: - Utilize advanced analytic engineering techniques within Snowflake to optimize data transformations and computations. - Design efficient data models and schemas to support optimized reporting and analytics. - Implement best practices for data loading, storage, and retrieval to minimize costs and maximize performance. Compute Efficiency: - Optimize query performance by tuning Snowflake configurations and query execution plans. - Implement caching strategies and materialized views to improve response times for commonly used reports. - Collaborate with data engineers to ensure efficient ETL processes and data transformations. Qualifications - Proven experience working with Snowflake data warehouse, including optimization projects. - Strong expertise in analytic engineering techniques within Snowflake, such as query optimization, indexing, and partitioning. - Deep understanding of Snowflake's architecture, including virtual warehouses, storage optimization, and clustering keys. - Proficiency in SQL and data modeling for Snowflake. - Familiarity with ETL processes and data pipeline optimization. - Excellent problem-solving skills and the ability to troubleshoot complex performance issues. - Strong communication skills to collaborate with cross-functional teams and stakeholders. - Self-motivated with a proactive approach to identifying and implementing optimizations. Compensation Below is our target compensation range. While we are budget conscious, we’re also eager to find the right person for this role, so if your target is outside of this range, please don’t hesitate to apply and we’d be happy to have a conversation. - Hourly Pay Range: $95 — $110 USD