Senior Data Engineer

Remote- Seattle, Washington, United States

Job Description

The Senior Data Engineer is responsible for architecting and building the data pipelines and platforms that power Transcarent's business and member analytics. This individual will partner closely with engineering, analytics, and business stakeholders to drive a modern, cloud - native data platform that is reliable, scalable, and increasingly powered by AI - driven automation. Success in this role will be measured by the reliability and performance of the data platform, measurable progress on platform modernization initiatives, and the delivery of AI - powered tools that reduce manual effort and unlock new insights for the business.

In the first 6 - 12 months, success looks like:

Taking ownership of core data pipelines with demonstrated improvements in reliability and data quality

Contributing meaningfully to ongoing data platform modernization efforts

Identifying and driving at least one opportunity to apply AI/ML to a real data engineering or business problem

Becoming a trusted technical partner to cross - functional stakeholders and a resource other engineers turn to for architectural guidance

Core Competencies

Strategic and architectural thinking

Cross - functional collaboration

Problem - solving and independent decision - making

Communication and technical influence

Ownership and accountability

Innovation - particularly applying AI to solve data engineering problems

Adaptability and resilience in a fast - changing environment

Mentorship and technical leadership

What You'll Do

Architect, build, and maintain enterprise - scale data pipelines that process large volumes of data with high reliability and performance

Own and evolve core components of our cloud - native data platform, built on modern tools such as Databricks and AWS

Design and implement data integration solutions across internal and third - party systems, ensuring data quality and consistency end to end

Apply AI/ML - including LLM - based agents and automation - to solve data engineering problems, reduce manual toil, and unlock new analytics capabilities

Build and optimize data models across our AWS and Databricks environments

Partner with cross - functional stakeholders to translate business requirements into scalable data solutions

Implement and enforce data quality controls and observability practices across the pipeline lifecycle

Diagnose and resolve complex production data issues with minimal oversight

Mentor other engineers on the team, raising the technical bar for code quality, architecture, and operational excellence

Research and evaluate emerging tools and techniques (AI, data platform, orchestration) and recommend adoption where it drives impact

Other duties as assigned

What We're Looking For / What You Need

Required Qualifications

BS or MS in Computer Science, Data Science, or related field (or equivalent practical experience)

5+ years of professional data engineering experience, with demonstrated technical leadership

Expert - level proficiency in Python and SQL, including experience building enterprise - scale data processing applications and optimizing complex queries

Advanced hands - on experience with Databricks (or similar platforms) and AWS data services (e.g., S3, Redshift, RDS, Glue, Lambda)

Proven track record designing and implementing large - scale data warehousing solutions and complex ETL/ELT pipelines

Experience with modern orchestration frameworks such as Airflow

Demonstrated interest or experience applying AI/ML to data engineering problems (automation, agents, anomaly detection, or similar)

Experience working in Agile environments with CI/CD practices

Excellent written and verbal communication skills; ability to explain technical tradeoffs to both engineers and business stakeholders

Comfort operating independently in a fast - paced, evolving environment

Preferred Qualifications

Experience with dbt or data observability/quality tooling

Experience with customer engagement or communications platforms

Experience in healthcare, benefits, or health tech

Experience building or integrating LLM - powered agents or AI - driven tooling into production data systems

Experience leading migrations of legacy data infrastructure to modern cloud - native platforms

Experience mentoring or informally leading other engineers

Additional Notes

Team: Data Engineering team, responsible for the company's data platform and ML/AI initiatives

Work location: Remote, with an optional office in Seattle (team is based in Seattle)

On - call: shares in team on - call rotation for pipeline/production support

Who We Are

Transcarent is the One Place for Health and