Data Engineer I

Information and Transform

If you are a current Duly/SBC/QMG employee, please apply through the Internal Career Site.

At Duly Health and Care, you are supported to do your best work and make a meaningful impact every day. You will be part of a collaborative, physician-led team that works as one and puts patients at the center of everything we do.

With a connected network of providers, care teams, and services across primary and specialty care, surgery centers, imaging, lab, and therapy, you are part of a system designed to deliver high-quality, coordinated care. Together, we create an environment where you can grow, contribute, and help improve the experience and outcomes for every patient we serve.

Benefits:

• Comprehensive medical, dental, and vision benefits that include healthcare navigation assistance.
• Access to a 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.
• A culture committed to community engagement and social impact.
• Up to 12 weeks parental leave at 100% pay and a financial benefit for adoption and surrogacy for non-physician team members once eligibility requirements are met.

Primary Purpose

The Data Engineer I is an early-career role within the Data & Analytics team, responsible for helping build, operate, and improve the data pipelines that feed analytics, reporting, and AI across the enterprise. Working alongside senior engineers and architects, this position contributes to the organization's cloud data platform, including data ingestion, transformation, orchestration, and pipeline monitoring. This role is a strong fit for someone with solid SQL and programming fundamentals who wants to grow into a data engineering career in a healthcare setting. No prior healthcare or Epic experience is required; we will train you.

Major Responsibilities

Pipeline development and data integration (50%)

• Build, test, and maintain batch and incremental data pipelines that ingest data from source systems, databases, APIs, and files into the enterprise lakehouse

• Develop transformations in SQL and Python to move data through layered (e.g., bronze/silver/gold) structures

• Support orchestration and scheduling of pipelines using the organization's data platform tools

• Apply version control, code review, and testing practices to all pipeline code

• Optimize queries and pipeline performance for reliability, reusability, and cost

Data quality, monitoring, and platform support (30%)

• 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 the protection of PHI/PII, including support for access control and security practices

• Assist in evaluating the impact of source system changes on downstream pipelines, models, and reports

• Document pipelines, data flows, runbooks, and release notes as required by our project delivery methodology

Collaboration and continuous improvement (20%)

• Partner with architects, analysts, BI developers, and data scientists to understand data needs and deliver trusted, well-structured data sets

• Work 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

• All other duties as assigned

Minimum Education and Experience

• Bachelor's degree in computer science, information systems, data science, engineering, or a related field; or 2 years of related experience; or an equivalent combination of education and experience

• 0-2 years of experience working 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

Minimum Knowledge, Skills, and Abilities (KSA)

• 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 the ability to explain technical work to non-technical audiences

• Attention to detail and a commitment to documentation and testing 

• Ability to work both 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

If you are committed to putting our patients first and helping shape the future of care, you belong at Duly.

The compensation for this role includes a base pay range of $65,000 - $85,000, with the 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. Base pay is only a portion of the total rewards package.

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.