Data Engineer

Quantum Health • Nashville, TN

19d • Hybrid

About The Position

As a Data Engineer , you will serve as a key contributor in the ingestion, aggregation, structuring and analysis of terabytes of healthcare and operational data. You will build complex ETL and ELT systems that make consistent, reliable data available for both our data science and healthcare analysis teams, as well as our core products, which present this analytic data to both consumer and sophisticated business user audiences. Furthermore, you will take our data science team’s analyses and investigatory work and operationalize them into scalable, production-ready data pipelines and services that power analytics, reporting, and core product experiences. Location : This position is located at our Nashville , TN office with hybrid flexibility or may work remotely anywhere in the United States of America .

Requirements

• Bachelor’s degree in Computer Science , Engineering, Mathematics, Statistics, or a related field, or equivalent practical experience.
• 2 + years of experience in a data-focused technical role as a Data Engineer, ETL Developer, Data Analyst, or similar.
• Hands-on experience building and maintaining data pipelines and datasets in a Microsoft Azure environment.
• Strong working experience with Python and Apache Spark .
• Prior e xperience with Databricks.
• Solid understanding of relational databases, data modeling concepts, and data transformation best practices.
• Experience working with structured and semi-structured data formats such as JSON and XML, and consuming REST-based APIs.
• Demonstrated ability to analyze data, solve complex business problems, and improve data quality and reliability.
• Tremendous motivator, extraordinary interpersonal skills working with engineers.
• Commitment to data security, privacy, and ethical data handling practices.
• Trustworthy and accountable behavior, capable of viewing and maintaining confidential information daily.

Nice To Haves

• Prior experience with Azure, including Databricks on Azure and Azure Synapse DW .
• Prior experience with Elasticsearch for search.
• Prior experience mentoring or guiding peers in areas of technical expertise .

Responsibilities

• Design, build, and maintain scalable data pipelines that transform and deliver structured and unstructured data across the organization’s data ecosystem.
• Develop and operate complex ETL and ELT workflows using Azure Databricks, Apache Spark, and related data engineering technologies.
• Use Python, SQL, and other data engineering tools to efficiently transform, validate , and optimize data for analytical and operational use cases.
• Work with a variety of data storage and retrieval technologies, including Databricks, Elasticsearch, PostgreSQL, and other enterprise data stores.
• Collaborate closely with data architects, design teams, and cross-functional partners to define data solutions and support evolving data requirements.
• Support and operationalize analytics and data science use cases by delivering reliable, production-ready data assets.
• Foster a culture of teamwork, self-organization, and continuous improvement through innovative solutions.
• Assist team members in solving complex technical problems and improving the overall productivity and capabilities of the team.
• All other duties as assigned.

Benefits

• Competitive base and incentive compensation
• Health, vision and dental featuring our best-in-class healthcare navigation services, along with life insurance, legal and identity protection, adoption assistance, EAP, Teladoc services and more.
• 401(k) plan with up to 4% employer match and full vesting on day one.
• Paid Time Off (PTO), 7 paid holidays, parental leave, volunteer days, paid sabbaticals, and more.
• Tuition reimbursement up to $5,250 annually, certification/continuing education reimbursement, discounted higher education partnerships, paid trainings and leadership development.
• Recognition as a Best Place to Work for 15+ years, dedication to diversity, philanthropy and sustainability, and people-first values that drive every decision.
• A modern workplace with a casual dress code, open floor plans, full-service dining, free snacks and drinks, complimentary 24/7 fitness center with group classes, outdoor walking paths, game room, notary and dry-cleaning services and more!

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level