Remote Senior Data Engineer — AI-Driven Data Platform

Transcarent

Polska

Ibrido

PLN 551.000 - 748.000

Tempo pieno

14 giorni+

Aumenta le possibilità di ricevere una risposta da questo datore di lavoro

Il tuo curriculum e una lettera di presentazione personalizzati, che corrispondono esattamente a ciò che sta cercando.

Supera i filtri ATS

Vantaggi offerti da questo lavoro

Medical, dental, vision coverage
401(k) with company match
Paid time off and holidays
Life Insurance and Disability

Descrizione del lavoro

Transcarent is seeking a Senior Data Engineer to architect and build enterprise-scale data pipelines powering member analytics. You will partner with engineering, analytics, and business stakeholders to modernize a cloud-native data platform, leveraging Databricks and AWS, and pushing AI-powered automation.

In 6–12 months, take ownership of core pipelines, contribute to platform modernization, and pursue AI/ML opportunities to solve real data problems.

Competenze

  • BS or MS in Computer Science, Data Science, or related field (or equivalent practical experience).
  • 5+ years of professional data engineering experience with leadership.
  • Expert-level Python and SQL for enterprise-scale processing and query optimization.
  • Hands-on 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 and modern orchestration frameworks.
  • Interest or experience applying AI/ML to data engineering problems.

Mansioni

  • Architect, build, and maintain enterprise-scale data pipelines with high reliability and performance.
  • Own core components of a cloud-native data platform on Databricks and AWS.
  • Design and implement data integration across internal and third-party systems; ensure data quality end-to-end.
  • Apply AI/ML, including LLM-based agents, to automate data engineering tasks and unlock analytics capabilities.
  • Build and optimize data models across AWS and Databricks environments.
  • Collaborate with stakeholders to translate requirements into scalable data solutions.
  • Impose data quality controls and observability across the pipeline lifecycle.
  • Diagnose and resolve production data issues; mentor engineers on code quality and architecture.
  • Research and evaluate new tools, advising on adoption where impactful.

Conoscenze

Python
SQL
AI/ML experimentation
CI/CD practices
Cross-functional collaboration
Architectural thinking
Communication

Formazione

BS or MS in Computer Science or related field

Strumenti

Databricks
AWS
Airflow

Descrizione del lavoro

Transcarent is seeking a Senior Data Engineer to architect and build enterprise-scale data pipelines powering member analytics. You will partner with engineering, analytics, and business stakeholders to modernize a cloud-native data platform, leveraging Databricks and AWS, and pushing AI-powered automation.

In 6–12 months, take ownership of core pipelines, contribute to platform modernization, and pursue AI/ML opportunities to solve real data problems.

Ottieni la revisione del curriculum gratis e riservata.

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