Senior Data Engineer

Transcarent; United States; On-site; USD 140,000 - 200,000; Full time

Benefits offered by this job

Medical, dental, and vision benefits

401(k) plan with generous match

Flexible PTO

Mental health and wellness benefits

Job summary

Transcarent is seeking a Senior Data Engineer to architect and build data pipelines powering member analytics, partnering with engineering and analytics to deliver a scalable, cloud-native data platform on AWS and Databricks.

In this role you will implement AI/ML driven automation, own data quality, mentor engineers, and collaborate across teams. This position offers remote work with an optional Seattle office.

Qualifications

• BS or MS in CS, Data Science, or related field (or equivalent practical experience).
• 5+ years of professional data engineering experience with leadership.
• Expert-level Python and SQL; scalable data processing and optimized queries.
• Databricks and AWS data services experience (S3, Redshift, RDS, Glue, Lambda).
• Proven track record designing large-scale data warehousing and ETL/ELT pipelines.
• Experience with Airflow.
• Data modeling and dimensional modeling best practices.
• Interest or experience applying AI/ML to data engineering problems.
• Experience with CI/CD in Agile environments.
• Excellent written and verbal communication; independent in fast-paced env.

Responsibilities

• Architect, build, and maintain enterprise-scale data pipelines with high reliability.
• Own and evolve core components of cloud-native data platform (Databricks, AWS).
• Design and implement data integration across internal and third-party systems.
• Apply AI/ML, including LLM-based agents, to automate data engineering tasks.
• Build and optimize data models in AWS and Databricks.
• Translate business requirements into scalable data solutions.
• Implement data quality controls and observability across the pipeline lifecycle.
• Diagnose and resolve production data issues with minimal oversight.
• Mentor engineers on code quality and architecture.
• Research emerging tools and recommend adoption.
• Other duties as assigned.

Skills

Python

SQL

Databricks

AWS

Data warehousing

ETL/ELT pipelines

Airflow

AI/ML in data eng

CI/CD

Leadership

Communication

Education

Bachelor's or Master's in CS/Data Science

Tools

dbt

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
• Data - driven decision making
• 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
• Strong grounding in data modeling and dimensional modeling best practices
• 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 Care, bringing medical, pharmacy, and point solutions together with the WayFinding experience, the first and only generative AI - powered health and care platform for health consumers.

Our WayFinding experience, paired with transparent and consumer - driven pharmacy care, 2nd.MD expert medical opinions, and virtual primary care, works seamlessly with comprehensive Care Experiences - Cancer Care, Surgery Care, and Weight Health - to support people with all of their health needs, simple or serious. More than 1,700 employers and health plans rely on us to provide information, guidance, and care, empowering health consumers with more choice, an experience they love, access to higher - quality care, and lower costs for 21 million Members. For more information, visit transcarent.com, and follow us on LinkedIn.

At Transcarent , Our Values Guide Everything We Do

• People First - We prioritize our Members , clients, and each other in every decision
• Care - Every decision starts with improving health and care for our Members
• Resilience - We push boundaries and take the uncharted path to change an industry
• Results - We take ownership, solve with speed, and deliver for our people and each other
• Humble and Human - We lead with humility, bring fun to tough moments, and go further together

Total Rewards

Individual compensation packages are based on a few different factors unique to each candidate, including primary work location and an evaluation of a candidate's skills, experience, market demands, and internal equity.

Salary is just one component of Transcarent's total package. All regular employees are also eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock options.

Our benefits and perks programs include, but are not limited to:

• Competitive medical, dental, and vision coverage
• Competitive 401(k) Plan with a generous company match
• Flexible Time Off/Paid Time Off, 13 paid holidays
• Protection Plans including Life Insurance, Disability Insurance, and Supplemental Insurance
• Mental Health and Wellness benefits

Transcarent is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. If you are a person with a disability and require assistance during the application process, please don't hesitate to reach out!

Research shows that candidates from underrepresented backgrounds often don't apply unless they meet 100% of the job criteria. While we have worked to consolidate the minimum qualifications for each role, we aren't looking for someone who checks each box on a page; we're looking for active learners and people who care about disrupting the current health and care with their unique experiences.