Note: The job is a remote job and is open to candidates in USA. Transcarent is a health and care company providing a generative AI-powered platform for health consumers. The Senior Data Engineer will architect and maintain reliable, scalable data pipelines and cloud-native data platforms, while applying AI/ML to automate data engineering work and enable new analytics capabilities. The role also involves cross-functional partnership, production issue resolution, data quality, modernization, and technical mentorship.
Responsibilities
- 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
Skills
- • 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
- • 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
Benefits
- All regular employees are also eligible for the corporate bonus program or a sales incentive (target included in OTE)
- All regular employees are also eligible for stock options
- 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
- Remote work, with an optional office in Seattle
Company Overview
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