Remote Data Engineer – SQL/Python for Self-Service Data

Hispanic Alliance for Career Enhancement; New Mexico; Hybrid; USD 64,890 - 173,040; Full time

Job summary

CVS Health is hiring a fully remote Data Engineer with strong SQL and Python experience to join our Data Engineering team. You will design, develop, and maintain data pipelines and platform infrastructure powering a self-service data app, collaborating with senior engineers to improve data ingestion and quality.

This role offers remote work across the US, with exposure to modern data platforms such as Snowflake and Kafka, and opportunities to grow through code reviews, mentorship, and

Qualifications

• 2 years of professional data engineering or software development experience.
• Strong proficiency in SQL including writing, optimizing, and troubleshooting complex queries.
• Experience with at least one cloud data warehouse or data platform (Snowflake, BigQuery, Redshift, Azure Synapse, or Databricks).
• Proficiency with Git-based version control and CI/CD concepts (GitHub Actions).

Responsibilities

• Build, maintain, and optimize data pipelines and ETL/ELT processes using Python.
• Write and optimize SQL queries to support ingestion, transformation, and validation across the data warehouse.
• Contribute to data modeling and maintain dataset integrity in Snowflake or similar platforms.
• Collaborate with senior engineers and participate in code reviews and CI/CD workflows.

Skills

SQL

Python

Cloud data warehouse

Git/GitHub

CI/CD

Education

Bachelor's degree in Computer Science or related field

Tools

Snowflake

BigQuery

Redshift

Azure Synapse

Databricks

Kafka

Docker

Job description

CVS Health is hiring a fully remote Data Engineer with strong SQL and Python experience to join our Data Engineering team. You will design, develop, and maintain data pipelines and platform infrastructure powering a self-service data app, collaborating with senior engineers to improve data ingestion and quality.

This role offers remote work across the US, with exposure to modern data platforms such as Snowflake and Kafka, and opportunities to grow through code reviews, mentorship, and