Data Engineer, Sr. - 100% Remote
About the Company
Allied supports healthcare-related data and technology initiatives, with a focus on building reliable data infrastructure that enables analytics, machine learning, and AI applications across the enterprise.
About the Role
Allied is seeking a Senior Data Engineer to design, build, and manage the data infrastructure supporting enterprise analytics, machine learning, and AI applications. This remote role will serve as the technical owner of data ingestion, storage, transformation, orchestration, and reporting infrastructure for the AI team. You will work with cloud-based data platforms and technologies such as Azure Storage, Microsoft Fabric, Snowflake, Python, and SQL to develop scalable data pipelines and trusted data products. The role also involves partnering with Data Scientists, Machine Learning Engineers, analytics stakeholders, and business and IT teams to support model development, reporting, and evolving enterprise data needs.
Key Responsibilities
Design, build, and maintain 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. Manage data movement and orchestration across Azure Storage, Microsoft Fabric, Snowflake, and future enterprise data platforms. Develop and maintain data models that support analytics, reporting, and machine learning workloads. Manage data storage patterns for the AI team, including data lake, data warehouse, and reporting architectures. Establish dataset versioning, data lineage, and reproducibility practices. Define and enforce data quality standards, monitoring procedures, and validation frameworks. Design scalable data solutions to accommodate increasing data volumes and new data sources. Own the technical infrastructure supporting Power BI and future reporting platforms used by the AI team. Develop semantic models, curated datasets, and reporting-ready data products for internal reporting and enterprise use. Collaborate with analytics stakeholders to deliver reliable, high-quality reporting assets. Partner with Machine Learning Engineers and Data Scientists to provide high-quality datasets for model development. Work with business and IT teams to understand changing data requirements and deliver appropriate solutions. Help establish data governance, security, and compliance practices suitable for healthcare data environments. Advise business teams during negotiations involving third-party data sources. Perform other duties as assigned.
Required Qualifications
A bachelor's degree in Computer Science, Engineering, Information Systems, or an equivalent combination of education and work experience. At least 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, preferably Azure. Strong understanding of data modeling and data 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 using coding assistants, such as Claude Code, for feature-oriented development. Position Competencies Accountability Analytical problem-solving Collaboration Quality and risk management Systems thinking Technical and functional expertise Location and Work Environment Remote Standard desk-based role involving extended periods of sitting and computer work. Remote Work Requirements Candidates must have a reliable cable broadband or fiber-optic internet connection with minimum speeds of 100 Mbps download and 25 Mbps upload.
Compensation and Benefits
Allied offers a total rewards package that includes medical, dental, vision, life, and disability insurance, generous paid time off, tuition reimbursement, an Employee Assistance Program (EAP), and a technology stipend. Compensation and benefits may be revised by the company. The final pay offered within the applicable role range depends on the candidate's qualifications, ability to meet role requirements, and the outcome of the interview and selection process.