Senior Data Engineer - Azure Databricks, SQL & Python (Remote)

Saisystems Technology

United States

Remote

USD 120,000 - 180,000

Full time

5 days ago
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Job summary

Saisystems Technology seeks an experienced Data Engineer for a remote, full-time contract role. You will work with Databricks (Unity Catalog, Delta Lake, Spark SQL), SQL, and Python to build scalable data pipelines in a cloud lakehouse environment.

You will implement dbt models, manage CI/CD with Git and Azure DevOps, and collaborate with engineers and clinical operations leaders to ship trusted data for analytics and decision-making.

Qualifications

  • 8+ years of professional data engineering or analytics engineering experience with hands-on experience with a cloud lakehouse or warehouse Databricks strongly preferred (Unity Catalog, Delta Lake, Spark SQL); Snowflake or BigQuery experience translates
  • Strong SQL, including window functions, complex joins, set operations, and query performance tuning on large datasets
  • Demonstrated command of dbt beyond the basics: incremental strategies, materializations, snapshots, macros, packages, tests, and project structure and naming conventions
  • Practical experience with Git and a pull-request-based CI/CD process, and a clear understanding of promoting data changes from development through staging to production
  • Experience with a CI platform such as CircleCI, GitHub Actions, GitLab CI, or Azure DevOps, including configuring automated checks for a dbt project
  • Proficiency in Python for ingestion, orchestration, and tooling
  • Experience with a workflow orchestrator (Prefect, Airflow, Dagster, or Databricks Workflows)
  • Working knowledge of dimensional modeling and when to depart from it
  • Familiarity with data governance, access control, security, and HIPAA-compliant handling of PHI
  • Clear written communication you can explain a modeling decision or an incident to both an engineer and a clinical operations leader

Responsibilities

  • Design and implement data pipelines using Databricks and Python
  • Develop and maintain dbt models with robust tests and documentation
  • Set up and manage CI/CD for data projects (Git-based)
  • Collaborate with engineers and clinical operations leaders to deliver reliable data assets
  • Ensure HIPAA-compliant handling of PHI and implement appropriate data governance measures

Skills

SQL
Python

Tools

Databricks
dbt
Azure DevOps
Git
CircleCI
GitHub Actions
GitLab CI
Airflow
Dagster

Job description

Saisystems Technology seeks an experienced Data Engineer for a remote, full-time contract role. You will work with Databricks (Unity Catalog, Delta Lake, Spark SQL), SQL, and Python to build scalable data pipelines in a cloud lakehouse environment.

You will implement dbt models, manage CI/CD with Git and Azure DevOps, and collaborate with engineers and clinical operations leaders to ship trusted data for analytics and decision-making.

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