HW.Tech

Compensation

Full Description

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. Key Responsibilities 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 Requirements 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 What We Offer 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