Data Engineer II
Vālenz® Health
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
AzureETLNoSQLPySparkPythonRDBMS
About the role
- Drive continuous improvement initiatives to enhance data processing capabilities across the organization
- Design and implement efficient, high-performance data ingestion pipelines from diverse sources utilizing Databricks on Azure
- Develop and maintain reliable data pipelines, automating manual processes to improve efficiency and scalability
- Collaborate with the Data Engineering team to design and support robust processes for loading data into relational, dimensional, and NoSQL database systems
- Implement best practices in data lake architecture to ensure scalable, standardized, and optimized data storage and processing solutions
- Partner with cross-functional teams to identify, evaluate, and acquire new data sources that align with organizational objectives
- Actively participate in agile development processes, contributing to sprint planning, refinement, and delivery of high-quality solutions
Requirements
- 4+ years experience in a highly technical and hands-on data engineering, or data science role
- Proficiency with Databricks and/or PySpark is a strong advantage
- Hands-on experience in developing ETL processes
- Familiarity with Data Lakehouse systems and/or migrating RDBMS to Lakehouse architectures
- Strong organizational and time management skills to manage multiple projects with minimal supervision
- Ability to build and refine processes from the ground up
- Excellent problem-solving skills, with a keen ability to investigate beyond initial findings
- Exceptional attention to detail, with a commitment to testing and validating results
- Comfortable working with unstructured data and navigating ambiguous outcomes
- A plus if you have: Bachelor’s degree in a quantitative field such as statistics, mathematics, engineering, or computer science
- Knowledge of common healthcare data types (e.g., medical claims, eligibility, provider networks, Rx claims) from various sources
- Python or Databricks certifications
Benefits
- Competitive benefits package with generous employer subsidies
- Flexible and remote working options
- 401k with generous employer match and immediate vesting
- Personal and professional development opportunities
- Supportive family benefits, including paid leave for new family members
- Companywide philanthropic program, Valenz Communities Connection
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data engineeringdata scienceETL processesdata ingestion pipelinesDatabricksPySparkdata lake architectureNoSQL databasesRDBMSdata lakehouse systems
Soft skills
organizational skillstime managementproblem-solvingattention to detailprocess refinementcollaborationagile developmentinvestigative skillsadaptabilityself-management
Certifications
Python certificationDatabricks certificationBachelor's degree in statisticsBachelor's degree in mathematicsBachelor's degree in engineeringBachelor's degree in computer science