Staff Data Engineer building pipelines, models, and infrastructure for exacare ai’s post - acute care AI platform. Turning healthcare data into reliable foundations for product, analytics, and ML workflows.
About the role
- Data Engineer designing and implementing scalable data solutions for clients at Blue Orange Digital. Collaborating in a fully remote environment with a top-notch team.
Responsibilities
- Design, build, and deploy robust data platforms, including data lakehouses and warehouses, and automate their operation using tools like Azure DevOps, Terraform, and CloudFormation.
- Implement and optimize advanced ETL/ELT data pipelines and orchestrate complex data jobs using platforms like Databricks notebooks and dbt.
- Design and maintain data models, potentially utilizing data virtualization tools like Cube.
- Leverage managed and serverless cloud offerings to create performant and scalable cloud‑native application solutions and data pipelines.
- Apply best practices for data security and ensure compliance with governance requirements.
- Build high‑performance data pipelines and integrate with BI tools like Tableau, Looker, and Power BI.
- Provide leadership in applying software development best practices, including CI/CD and managing Infrastructure as Code.
Requirements
- 5+ years of industry experience as a hands‑on practitioner in Data Engineering
- Advanced proficiency in Python and SQL (TypeScript/JavaScript/Java a plus)
- Proven experience with ETL/ELT implementation and data modeling for data warehouses/lakehouses
- Understanding and experience with the Medallion Architecture (Bronze, Silver, and Gold layers)
- Experience with advanced DevOps, CI/CD, and strong Linux system administration skills
- Expertise in 2–3 major cloud and data platforms (e.g., Azure, AWS, GCP, Snowflake, Databricks, and Fabric)
Benefits
- Fully remote
- Flexible schedule
- Paid parental and bereavement leave
- Worldwide recognized clients to build skills for an excellent resume
- Top‑notch team to learn and grow with
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