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About the Role
As a Data Engineer I, you will help develop and maintain scalable data pipelines and solutions within our modern, cloud-based data platform. You will transform, validate, and integrate healthcare data from multiple sources to ensure accurate, reliable, and accessible data for analytics, reporting, and broader business needs. You will also partner with Analytics and other cross-functional teams to translate data requirements into effective solutions while supporting the continued growth and evolution of our cloud-based lakehouse architecture.
Responsibilities
- Develop, maintain, and enhance data pipelines that ingest, transform, validate, and integrate data from multiple internal and external sources.
- Support the migration of on-premise SQL Server data systems to a cloud-based lakehouse architecture using Azure Databricks and Delta Lake.
- Develop and maintain ETL/ELT processes using SQL, Python, PySpark, and Spark SQL.
- Apply established lakehouse and Delta Lake architecture standards, including schema enforcement, data quality controls, ACID transactions, and data versioning.
- Build and maintain data models that support analytics, reporting, and data warehousing needs.
- Implement data quality checks, validation processes, and monitoring to ensure the accuracy, completeness, and reliability of data pipelines.
- Orchestrate and monitor data workflows using Databricks Workflows, Apache Airflow, or similar technologies.
- Troubleshoot pipeline failures, data quality issues, and performance concerns, identifying root causes and implementing appropriate solutions.
- Support the optimization of data pipelines for performance, scalability, reliability, and cost efficiency.
- Collaborate on CI/CD practices for data engineering solutions, including source control, testing, deployment, and version management.
- Partner with data analysts, data scientists, and business stakeholders to understand data requirements and develop supporting pipelines and data structures.
- Document data pipelines, transformations, technical processes, and data structures to support maintainability and knowledge sharing.
- Participate in code reviews, testing, and Agile development processes to support consistent engineering standards and continuous improvement.
- Stay current on data engineering technologies and contribute ideas for improving the organization's evolving data platform.
- Perform other duties as assigned.
Requirements
- Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, Statistics, or a related quantitative or technical field, or equivalent practical experience.
- 1+ years of experience in data engineering, software development, data analytics, or a related role involving similar technical responsibilities.
- Working knowledge of SQL and Python, with experience using these technologies to manipulate, transform, or process data.
- Experience developing or supporting ETL/ELT processes, data pipelines, data integrations, or similar data engineering solutions.
- Understanding of relational databases, data modeling concepts, and data warehousing principles.
- Ability to troubleshoot data and technical issues, investigate root causes, and develop effective solutions.
- Strong attention to detail with a commitment to data accuracy, quality, and validation.
- Ability to work with complex or incomplete data and navigate ambiguity to reach reliable conclusions.
- Strong organizational and time management skills with the ability to manage multiple priorities and assignments.
- Effective written and verbal communication skills, including the ability to explain technical concepts and requirements to technical and non-technical stakeholders.
Skills
- SQL
- Python
- PySpark
- Spark SQL
- Azure Databricks
- Delta Lake
- Microsoft Azure services
- Azure Data Lake Storage
- Blob Storage
- Synapse Analytics
- Databricks Workflows
- Apache Airflow
- Git
- Azure DevOps
- CI/CD practices
- Automated testing
- Source control
- Healthcare data
- Batch processing
- Streaming data processing
Location
- Remote
- US based
Work Type
- Fully remote
Experience Level
- 1+ years of experience
Education Level
- Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, Statistics, or a related quantitative or technical field, or equivalent practical experience.
Benefits
- Generously subsidized company-sponsored Medical, Dental, and Vision insurance, with access to services through our own products, Healthcare Blue Book and KISx Card.
- Spending account options: HSA, FSA, and DCFSA
- 401K with company match and immediate vesting
- Flexible working environment
- Generous Paid Time Off to include vacation, sick leave, and paid holidays
- Employee Assistance Program that includes professional counseling, referrals, and additional services
- Paid maternity and paternity leave
- Pet insurance
- Employee discounts on phone plans, car rentals and computers
- Community giveback opportunities, including paid time off for philanthropic endeavors
About the Company
- Vālenz Health® is the destination for employers, brokers, payers, and providers to reduce costs, improve quality, and elevate the healthcare experience.
- Through advanced technology and clinical expertise, Valenz creates a distinctly different approach to a complex healthcare system.
- With our solutions, we execute across the entire healthcare journey — from member experience to payment integrity, provider quality, and plan performance.
- With one of America’s largest cost, quality and utilization datasets, we create greater transparency, flexibility, and cost containment — empowering members and employers with the information they need to make smarter, more cost-effective decisions.
- Our mission is to advance healthcare through technology and expertise to optimize cost, quality, access, and utilization for all.
- We bring that mission to life through our commitment to Collaboration, Performance, Transparency, and Trust—the core values that guide how we work with our members, our customers, and each other.
Equal Opportunity
- At Valenz, we celebrate, support, and thrive on inclusion, for the benefit of our associates, our partners, and our products.
- Valenz is committed to the principle of equal employment opportunity for all associates and to providing associates with a work environment free of discrimination and harassment.
- All employment decisions at Valenz are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion or belief, national, social, or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate.
- We will not tolerate discrimination or harassment based on any of these characteristics.