Data Engineer — Healthcare Cloud Data Pipelines

KNOWFINITY

Texas

On-site

USD 90,000 - 140,000

Full time

14 days+

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Job summary

KNOWFINITY is hiring a Data Engineer to join a Fortune 500 healthcare client in the United States. You will design, build, and optimize scalable ETL/ELT pipelines across healthcare data platforms and cloud ecosystems.

The role requires hands-on experience with SQL, Python, PySpark or Scala, and cloud technologies (AWS/Azure/GCP). You will collaborate with analysts, stakeholders, and engineering teams to deliver reliable data solutions.

Qualifications

2+ years of experience as a Data Engineer or in a related data-focused role.
Strong experience with SQL and relational databases.
Hands-on experience with Python, PySpark, or Scala.
Experience working with ETL tools and data pipeline development.
Familiarity with cloud platforms such as AWS, Azure, or GCP.
Experience with big data technologies like Spark, Hadoop, or Databricks is preferred.
Knowledge of data warehousing concepts and dimensional modeling.
Strong analytical, problem-solving, and communication skills.
Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field.

Responsibilities

Design, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured data.
Build and optimize data workflows using modern cloud and big data technologies.
Collaborate with data analysts, business stakeholders, and engineering teams to deliver reliable data solutions.
Develop data integration processes across multiple healthcare and enterprise systems.
Ensure data quality, integrity, governance, and security standards are maintained.
Monitor and troubleshoot data pipelines and production jobs.
Support reporting, analytics, and business intelligence initiatives.
Participate in performance tuning and optimization of databases and data processing systems.