Data Engineer I

Valenz • Phoenix, AZ

4d • Remote

About The Position

As a Data Engineer I, you’ll help develop and maintain scalable data pipelines and solutions within our modern, cloud-based data platform. You’ll transform, validate, and integrate healthcare data from multiple sources to ensure accurate, reliable, and accessible data for analytics, reporting, and broader business needs. You’ll 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.

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.

Nice To Haves

• Experience with Azure Databricks, Spark, PySpark, Spark SQL, or Delta Lake.
• Experience with Microsoft Azure services such as Azure Data Lake Storage, Blob Storage, or Synapse Analytics.
• Experience with pipeline orchestration tools such as Databricks Workflows, Apache Airflow, or similar technologies.
• Familiarity with Git, Azure DevOps, CI/CD practices, automated testing, and source control.
• Experience working with healthcare data, including medical claims, eligibility, provider network, pharmacy claims, or similar datasets.
• Exposure to cloud data migrations or modernization of traditional relational database and ETL environments.
• Familiarity with batch and streaming data processing concepts.
• Understanding of data quality frameworks, monitoring, and data governance practices.

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.
• Reasonable accommodation may be made to enable individuals with disabilities to perform essential duties.

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

What This Job Offers

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