
201 - 500 employees
Founded 1980
đĽ Healthcare
đź Consulting
đŚ Logistics
Healthcare ⢠Consulting ⢠Logistics
Allied Benefit Systems is a national healthcare solutions company that provides health plan administration, care and cost management, provider network services, and data analytics to employers, members, and benefits consultants. The company focuses on reducing healthcare costs, optimizing plan performance, and improving member experience through administrative services, analytics & insights, and customizable provider networks.
đ October 6
đ˝ Illinois â Remote
đľ $155k - $170k / year
â° Full Time
đ Senior
đ° Data Engineer
đť Ghost score 6%
Where this job comes from
Posted on Allied Benefit Systems's careers page â, not through a job board
First seen by Remote Rocketship October 6
Still open on Allied Benefit Systems's site. Checked 10 hours ago.

201 - 500 employees
Founded 1980
đĽ Healthcare
đź Consulting
đŚ Logistics
Healthcare ⢠Consulting ⢠Logistics
Allied Benefit Systems is a national healthcare solutions company that provides health plan administration, care and cost management, provider network services, and data analytics to employers, members, and benefits consultants. The company focuses on reducing healthcare costs, optimizing plan performance, and improving member experience through administrative services, analytics & insights, and customizable provider networks.
⢠Design and implement scalable data pipelines and ETL/ELT processes ⢠Develop integrations with internal and external data sources, APIs, databases, and enterprise systems ⢠Build and maintain data ingestion frameworks for structured and unstructured data ⢠Own data movement and orchestration across Azure Storage, Microsoft Fabric, Snowflake, or future enterprise data solutions ⢠Develop and maintain data models for analytics, reporting, and machine learning workloads ⢠Manage AI-team data storage patterns, including data lake, warehouse, and reporting architectures ⢠Establish dataset versioning, lineage, and reproducibility practices ⢠Create and enforce data quality standards and monitoring procedures ⢠Design scalable approaches for growing data volumes and data sources ⢠Own technical infrastructure supporting Power BI and future reporting platforms ⢠Create semantic models, curated datasets, and reporting-ready data products ⢠Partner with analytics stakeholders to ensure high-quality reporting assets ⢠Partner with Machine Learning Engineers and Data Scientists to provide datasets for model development ⢠Collaborate with business and IT teams to understand evolving data requirements ⢠Assist with data governance, security, and compliance practices for healthcare data environments ⢠Advise business teams during third-party data source negotiations ⢠Perform other duties as assigned
⢠Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent combination of education and work experience required ⢠5+ years of experience in data engineering, software engineering, or related disciplines ⢠Strong Python development skills ⢠Advanced SQL expertise ⢠Experience developing API integrations and data ingestion solutions ⢠Experience designing and operating production ETL/ELT pipelines ⢠Experience with cloud-based data platforms, Azure preferred ⢠Strong understanding of data modeling and warehousing concepts ⢠Experience with Microsoft Fabric, Azure Data Lake, Power BI, Snowflake, Databricks, or similar technologies ⢠Experience working with healthcare, claims, provider, or member data ⢠Familiarity with machine learning workflows and MLOps concepts ⢠Experience implementing monitoring, observability, and data quality frameworks ⢠Experience with Git, CI/CD, Infrastructure-as-Code, and modern software delivery practices ⢠Experience with coding assistants, e.g., Claude Code, for feature-oriented development ⢠Internet connection through cable broadband or fiber optic service with at least 100Mbps download and 25Mbps upload
⢠Medical insurance ⢠Dental insurance ⢠Vision insurance ⢠Life insurance ⢠Disability insurance ⢠Generous paid time off ⢠Tuition reimbursement ⢠Employee Assistance Program (EAP) ⢠Technology stipend ⢠Remote-friendly work culture ⢠Work-from-home flexibility
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