Data Engineer

OmegaHires, (Multiple States)
$75 - $100Remote

About The Position

We are hiring a data engineer to build and maintain scalable data pipelines, warehouse models, and analytics-ready datasets. You will work with engineering and analytics teams to improve data quality, lineage, and reliability. Remote within the United States.

Requirements

  • 4+ years in data engineering or similar analytics engineering roles
  • Strong SQL and Python for data processing
  • Hands-on experience with a modern cloud data platform (Snowflake, Databricks, Redshift, or BigQuery)
  • Experience with orchestration (Airflow, Dagster, Prefect, or cloud-native schedulers)
  • Understanding of dimensional modeling and incremental loads
  • Remote in the United States

Nice To Haves

  • dbt, Spark, or Kafka/streaming experience
  • AWS or Azure data services (S3, Glue, ADF, Synapse, etc.)
  • Git-based development and automated testing for data pipelines
  • Experience in finance, retail, or healthcare data domains

Responsibilities

  • Design, build, and operate ETL/ELT pipelines from operational and SaaS sources
  • Develop batch and streaming workflows using Python, SQL, and cloud data services
  • Model data in a warehouse/lakehouse (e.g. Snowflake, Databricks, or BigQuery)
  • Implement data quality checks, monitoring, and incident response for pipelines
  • Collaborate with analysts and data scientists on curated marts and metrics
  • Document pipelines, schemas, and SLAs; support CI/CD for data code
  • Optimize performance, cost, and security (IAM, encryption, PII handling)
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