Data Engineer I

Make an impact with the Data & Analytics team at Duly Health and Care by building and improving the pipelines that power enterprise analytics and AI. This early-career Data Engineer role combines cloud data platform work with hands-on collaboration across architects, analysts, BI developers, and data scientists, helping deliver trusted datasets while learning from senior engineers through design and code reviews.

What you’ll do

• Build, test, and maintain batch and incremental data pipelines that ingest data from source systems, databases, APIs, and files into the enterprise lakehouse
• Create SQL and Python transformations to move data through layered structures (for example, bronze/silver/gold)
• Support orchestration and scheduling for pipelines using the organization’s data platform tools
• Use version control, code review, and testing practices for all pipeline code
• Optimize queries and pipeline performance to improve reliability, reusability, and cost
• Monitor pipeline runs, troubleshoot failures, and help resolve data issues in a timely manner
• 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
• Assess how source system changes may affect 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
• Contribute to improving data engineering standards, automation, and documentation
• Perform other duties as assigned

What you bring

• Bachelor’s degree in computer science, information systems, data science, engineering, or related field; or 2 years of related experience; or an equivalent education and experience combination
• 0 to 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 beneficial
• Experience with Databricks, Spark, Delta Lake, Azure Data Factory, or other cloud data platforms (Azure preferred) beneficial
• Experience with Git and CI/CD practices beneficial
• Healthcare or Epic Clarity experience not required (training provided)
• Knowledge 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
• Attention to detail, with a commitment to documentation and testing
• Ability to work independently and in a team-oriented environment
• Curiosity and a desire to learn modern data engineering practices
• Familiarity with data governance, data security, or privacy concepts helpful

Tools you’ll work with

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

Benefits

• 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
• Base pay range: $65,000 - $85,000 per year (actual pay determined by factors such as skills, experience, education, certifications, geographic location, and internal equity); additional compensation may be available through shift differentials, bonuses, and other incentives

Location: Downers Grove, IL (onsite)

Artificial Intelligence disclosure: Artificial Intelligence (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.