Data Engineer II
Remote
Job Id:
160410
Job Category:
Job Location:
Remote
Security Clearance:
No Clearance
Business Unit:
Piper Companies
Division:
Piper Clinical Solutions
Position Owner:
Madalyn Barry
Piper Companies is seeking a Data Engineer II to join a leading organization in the healthcare data and analytics industry for a remote long‑term contract opportunity. The Data Engineer II will support backend data processing initiatives, contributing to large‑scale data pipelines and analytics solutions used to inform critical healthcare decision‑making.
Responsibilities of the Data Engineer II include:
· Develop and enhance PySpark data pipelines within a Databricks environment to support high‑volume data workflows.
· Improve backend services by designing reliable, scalable components and optimizing performance.
· Investigate and resolve data or application issues, ensuring smooth and consistent system operations.
· Participate in Agile ceremonies while collaborating closely with engineering and analytics teams.
· Maintain clear technical documentation and contribute to routine code review processes.
Qualifications for the Data Engineer II include:
· At least 5 years of professional experience in data engineering or software engineering roles.
· Strong hands‑on experience with Python, Apache Spark, and distributed data processing concepts.
· Solid knowledge of R programming, data modeling strategies, and ETL best practices.
· Experience working in Agile development environments with strong problem‑solving abilities.
· Bachelor’s degree in Computer Science, Computer Engineering, or a related technical area.
Compensation for the Data Engineer II:
Salary Range: $105,000-$115,000/year (USD)
Comprehensive Benefits: Medical, Dental, Vision, sick leave if required by law, and 401K
This job opens for applications on 2/19/26. Applications for this job will be accepted for at least 30 days from the posting date.
Keywords: data engineering, PySpark, Databricks, distributed computing, ETL, data modeling, Python, R, big data, backend engineering, healthcare analytics, AWS, S3, EC2, Glue, Lambda, SAS, Agile development, data pipelines, Spark optimization, documentation, debugging, cloud data tools, performance tuning.
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