JobHunter AI
Healthcare Claims, Data Engineer
Healthfirst
Location
Germany
Work Mode
Field
Type
Full-Time
Sector
Education
First Seen
2026-07-11
Source
himalayas
Field Work Germany Education ERP Data Finance Deadline Unclear Remote
Job Description
The Data Engineer is responsible for data acquisition strategies and integration, scripting and tools, data migrations, conversions, purging, and back-ups. The incumbent works with product, financial control, analysts, users, and other stakeholders to understand business requirements and support data architecture to build data acquisition strategies. The Data Engineer authors artifacts defining standards and definitions for storing, processing, and moving data including associated processes and business rules. Additionally, the Data Engineer maps the details within these their artifacts to business processes, non-functional characteristics, QA criteria and technical enablement. He/she constantly thinks through the needs of the business to support efficient and error-free processes.<h3>Duties and Responsibilities:</h3><ul><li>Finds trends in datasets and develops workflows and algorithms to make raw data useful to the enterprise</li><li>Designs and implements standardized data management procedures around data staging, data ingestion, data preparation, data provisioning, and data destruction (scripts, programs, automation, assisted by automation, etc.)</li><li>Ensures quality of technical solutions as data moves across <a href="https://himalayas.app/companies/healthfirst">Healthfirst</a> environments</li><li>Provides insight into the changing data environment, data processing, data storage and utilization requirements for the company and offer suggestions for solutions</li><li>Ensures managed analytic assets support <a href="https://himalayas.app/companies/healthfirst">Healthfirst</a>’s strategic goals by creating and verifying data acquisition requirements and strategy</li><li>Develops, constructs, tests and maintains architectures</li><li>Aligns architecture with business requirements and uses programming language and tools</li><li>Identifies ways to improve data reliability, efficiency, and quality</li><li>Conducts research for industry and business questions</li><li>Deploys sophisticated analytics programs, machine learning and statistical methods</li><li>Prepares data for predictive and prescriptive modeling and finds hidden patterns using data</li><li>Uses data to discover tasks that can be automated</li><li>Creates data monitoring capabilities for each business process and works with data consumers on updates</li><li>Aligns data architecture to <a href="https://himalayas.app/companies/healthfirst">Healthfirst</a> solution architecture; contributes to overall solution architecture</li><li>Helps maintain the integrity and security of the company data</li><li>Additional duties as assigned or required</li></ul><h3>Minimum Qualification:</h3><ul><li>Work experience in a data engineering</li><li>Work experience in data programing languages such as Java or Python</li><li>Work experience in a Big Data ecosystem processing data including file systems, data structures/databases, automation, security, messaging, movement, etc.</li><li>Work experience