Data Engineer (Data Pipelines & Modeling)
Katalyst Healthcares & Life SciencesWarrendale, PA
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Overview
Remote
On-site
Job Description
Responsibilities:
- Design and implement robust data ingestion pipelines from multiple sources (APIs, databases, files, streaming systems).
- Support C4C offline database migration, ensuring data accuracy and consistency.
- Integrate data from enterprise systems into centralized data platforms.
- Design and implement data models for Workforce planning.
- Service operations forecasting.
- Develop optimized schemas for reporting and analytics.
- Ensure data quality, integrity, and consistency across models.
- Strong experience in data engineering and pipeline development.
- Proficiency in Python / SQL.
- Hands-on experience with Apache Spark or similar big data tools.
- Strong understanding of ETL/ELT concepts and data warehousing.
- Ability to work independently and in cross-functional teams.
- Bachelor's / Master's in Computer Science, IT, or related field.
- Exposure to CI/CD tools like Jenkins or GitHub Actions.
- Knowledge of cloud platforms (AWS / Azure / GCP).
- Experience in healthcare or regulated environments.
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FAQs About Data Engineer (Data Pipelines & Modeling) Jobs at Katalyst Healthcares & Life Sciences
What is the work location for this position at Katalyst Healthcares & Life Sciences?
This job at Katalyst Healthcares & Life Sciences is located in Warrendale, PA, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at Katalyst Healthcares & Life Sciences?
Employer has not shared pay details for this role.
What employment applies to this position at Katalyst Healthcares & Life Sciences?
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