Remote Senior Data Engineer — AI-Driven Data Platform

Transcarent

United States

Vor Ort

USD 140.000 - 200.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

Schaffe es an den ATS-Filtern vorbei

Benefits dieser Stelle

Medical, dental, and vision benefits
401(k) plan with generous match
Flexible PTO
Mental health and wellness benefits

Zusammenfassung

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.

Qualifikationen

  • 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.

Aufgaben

  • 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.

Kenntnisse

Python
SQL
Databricks
AWS
Data warehousing
ETL/ELT pipelines
Airflow
AI/ML in data eng
CI/CD
Leadership
Communication

Ausbildung

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

Tools

dbt

Jobbeschreibung

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.

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