Data Engineer

Duly Health and Care is seeking an early-career Data Engineer I to join the Data & Analytics team. This onsite role in Downers Grove, IL focuses on building, operating, and improving data pipelines that support analytics, reporting, and AI across the enterprise, using a cloud data platform for ingestion, transformation, orchestration, and monitoring.

The position plays a key part in turning source data from systems, databases, APIs, and files into reliable, well-structured datasets within an enterprise lakehouse. You will collaborate with architects, analysts, BI developers, and data scientists to understand data needs and deliver trustworthy outputs.

• Build, test, and maintain batch and incremental data pipelines that move data into the enterprise lakehouse
• Create data transformations using SQL and Python
  , including movement through layered structures (for example, bronze/silver/gold)
• Support orchestration and scheduling of pipelines using the organization’s data platform tools
• Apply version control
  , code review
  , and testing practices to pipeline code
• Optimize SQL queries and pipeline performance to improve reliability, reusability, and cost
• Monitor pipeline runs, troubleshoot failures, and assist with timely resolution of data issues
• Implement data quality rules, validation checks, and alerting within pipelines
• Follow organizational standards for data privacy and protection of PHI/PII
  , including support for access control and security practices
• Assist in assessing how source system changes impact downstream pipelines, models, and reports
• Document pipelines, data flows, runbooks, and release notes as required by the project delivery methodology
• Partner with business stakeholders to understand data definitions and requirements
• Learn from senior engineers through code reviews, design reviews, and mentoring
• Identify opportunities to improve data engineering standards, automation, and documentation
• Perform additional duties as assigned

• Bachelor’s degree in computer science, information systems, data science, engineering, or related field; or 2 years of related experience; or equivalent education and experience
• 0-2 years of experience with relational databases, data engineering, or software development (internships, co-ops, and academic projects count)
• Proficiency in SQL for data analysis and transformation
• Experience with Python or another scripting language is beneficial
• Experience with Databricks
  , Spark
  , Delta Lake
  , Azure Data Factory
  , or other cloud data platforms (with Azure preferred) is beneficial
• Experience with Git and CI/CD practices is beneficial
• Healthcare or Epic Clarity experience is not required; training provided
• Understanding of relational database concepts, data modeling, and ETL/ELT patterns
• Strong SQL skills including joins, CTEs, and window functions
• Strong analytical, organizational, and problem-solving skills
• Strong written and verbal communication skills, including explaining technical work to non-technical audiences
• Detail-oriented with a commitment to documentation and testing
• Ability to work independently and in a team environment
• Curiosity and desire to learn modern data engineering practices
• Familiarity with data governance, data security, or privacy concepts is helpful

• SQL, Python, Databricks, Spark, Delta Lake, Azure Data Factory, Azure, Git, CI/CD

• Base pay range: $65,000 - $85,000 per year
• Comprehensive medical, dental, and vision benefits including healthcare navigation assistance
• Mental health benefit at no cost
• Employer provided life and disability insurance
• $5,250 Tuition Reimbursement per year
• Immediate 401(k) match
• 40 hours paid volunteer time off
• Culture committed to community engagement and social impact
• Up to 12 weeks parental leave at 100% pay, plus a financial benefit for adoption and surrogacy for non-physician team members once eligibility requirements are met
• Additional compensation may be available through shift differentials, bonuses, and other incentives

Artificial Intelligence Disclosure: AI tools may be used in some portions of the candidate review process for this position; however, all employment decisions will be made by a person.