Remote Data Engineer: Modernize Pipelines & Self-Service Data

Hispanic Alliance for Career Enhancement

Utah

Hybrid

USD 64,890 - 173,040

Full time

14 days+

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Benefits offered by this job

Comprehensive benefits package
Remote-friendly work model

Job summary

CVS Health is hiring a fully remote Data Engineer with strong SQL and Python to join our Data Engineering team. You will design, develop, and maintain data pipelines powering a self-service platform, collaborating with senior engineers and leveraging Snowflake, Kafka, and modern data tools.

This role emphasizes reliability, observability, and code quality, with on-call rotation and a comprehensive benefits package. Remote within the United States; 40 hours/week; pay range disclosed.

Qualifications

  • 2 years of professional data engineering or software development experience.
  • Strong proficiency in SQL, including complex queries and optimization.
  • Experience with at least one cloud data warehouse (Snowflake, Redshift, BigQuery, etc.).
  • Proficiency with Git-based workflows and CI/CD concepts.

Responsibilities

  • Build, maintain, and optimize data pipelines and ETL/ELT processes using Python.
  • Write and optimize SQL queries to support ingestion, transformation, and validation.
  • Collaborate with senior engineers on data modeling and Snowflake platform usage.
  • Integrate with Kafka-based streams for real-time data ingestion.
  • Contribute to CI/CD workflows and ensure test coverage for pipelines.

Skills

SQL
Python
Data engineering
ETL/ELT
Git/GitHub Actions

Education

Bachelor's degree in Computer Science, Data Engineering or related field

Tools

Snowflake
BigQuery
Redshift
Databricks
Docker
DBT

Job description

CVS Health is hiring a fully remote Data Engineer with strong SQL and Python to join our Data Engineering team. You will design, develop, and maintain data pipelines powering a self-service platform, collaborating with senior engineers and leveraging Snowflake, Kafka, and modern data tools.

This role emphasizes reliability, observability, and code quality, with on-call rotation and a comprehensive benefits package. Remote within the United States; 40 hours/week; pay range disclosed.

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