Senior Data Engineer

This is a fully remote position, open to applicants in Illinois.

📋 Description

• Design and implement scalable data pipelines along with ETL/ELT processes.

• Develop integrations with both internal and external data sources, APIs, databases, and enterprise systems.

• Construct and maintain frameworks for data ingestion, accommodating both structured and unstructured data.

• Manage data movement and orchestration across Azure Storage, Microsoft Fabric, Snowflake, or forthcoming enterprise data solutions.

• Develop and uphold data models tailored for analytics, reporting, and machine learning tasks.

• Oversee AI-team data storage configurations, including data lake, warehouse, and reporting structures.

• Establish practices for dataset versioning, lineage, and reproducibility.

• Create and enforce standards and monitoring procedures for data quality.

• Design scalable strategies for increasing data volumes and sources.

• Manage the technical infrastructure that supports Power BI and future reporting platforms.

• Develop semantic models, curated datasets, and reporting-ready data products.

• Collaborate with analytics stakeholders to ensure the production of high-quality reporting assets.

• Partner with Machine Learning Engineers and Data Scientists to provide datasets necessary for model development.

• Work together with business and IT teams to comprehend evolving data requirements.

• Assist in data governance, security, and compliance practices in healthcare data environments.

• Provide guidance to business teams during negotiations involving third-party data sources.

• Perform additional duties as assigned.

⛳️ Requirements

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or an equivalent combination of education and work experience is required.

• Over 5 years of experience in data engineering, software engineering, or related fields.

• Proficient in Python development.

• Advanced expertise in SQL.

• Experience in developing API integrations and solutions for data ingestion.

• Proven experience in designing and operating production ETL/ELT pipelines.

• Familiarity with cloud-based data platforms, with a preference for Azure.

• Strong understanding of data modeling and warehousing principles.

• Experience with technologies such as Microsoft Fabric, Azure Data Lake, Power BI, Snowflake, Databricks, or similar.

• Background working with healthcare, claims, provider, or member data.

• Familiarity with machine learning workflows and MLOps concepts.

• Experience in implementing monitoring, observability, and data quality frameworks.

• Proficient with Git, CI/CD, Infrastructure-as-Code, and modern software delivery methodologies.

• Experience utilizing coding assistants, e.g., Claude Code, for feature-oriented development.

• Reliable internet connection via cable broadband or fiber optic service, with a minimum of 100Mbps download and 25Mbps upload speeds.

🏝️ Benefits

• 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.