Title: Data Engineer — Remote (US)

Location: Remote — United States
Employment type: Contract (6–12+ months)
Indicative rate: $75–$100/hr

Role Summary
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.

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)

Required Qualifications

• 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

Preferred Qualifications

• 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