We are looking for a Data Engineer to join our team supporting data infrastructure and analytics in a healthcare IT environment. In this role, you'll help deliver reliable, scalable data solutions that drive critical business insights and operational decision-making.
This is a long-term contract role with a 100% remote work option , a friendly and professional team environment , and a strong focus on work-life balance.
Develop and maintain scalable data pipelines and ETL processes
Build and optimize data models and workflows for analytics and reporting
Leverage Python (Pandas, NumPy) for data transformation and analysis
Work with SQL , Databricks , and Spark to process large-scale datasets
Ensure data quality and integrity across systems and pipelines
Collaborate with cross-functional teams to define data requirements and deliver solutions
Participate in code reviews and contribute in Agile development environments
Translate complex datasets into actionable insights for business stakeholders
3+ years of experience with Python , SQL , and Databricks
Strong command of data frameworks/tools (e.g., Pandas, Jupyter)
Hands-on experience with big data technologies (e.g., Spark, Databricks)
Excellent problem-solving and analytical skills
Experience working with both structured and unstructured data
Background in Agile methodologies
Bachelor's degree in Computer Science, Information Technology, or equivalent experience
Healthcare industry experience or familiarity with healthcare data is a plus
Eligibility to work 40 h/week in the USA
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100% remote work
Long-term contract
Friendly and professional team environment
Paid Time Off (PTO)
Comprehensive benefits package , including:
Medical Insurance, Dental, Vision
Accident, Hospital Indemnity, Critical Illness
Short-Term Disability, Life & AD&D
401(k) retirement plan