Note: The job is a remote job and is open to candidates in USA. Releady is partnering with a leading healthcare technology company to hire a Senior Data Engineer for its Data Services team. The role designs, builds, and operates secure, reliable data pipelines and cloud data solutions, while supporting operational excellence and mentoring engineers.

Responsibilities

• Design, build, and maintain complex data pipelines from development through production for multiple use cases
• Develop efficient, scalable, and cost-effective implementations by leveraging reusable frameworks and patterns
• Integrate security, automation, and quality controls throughout the software development lifecycle using DevSecOps best practices
• Implement and maintain automated testing, validation, and monitoring frameworks for data workflows
• Leverage AI-assisted approaches across development, testing, and deployment to reduce operational overhead and improve quality
• Drive incident management, root cause analysis, and deployment stability
• Monitor and manage software configuration changes to proactively address data reliability and customer experience issues
• Coordinate sustaining support for multiple data platforms or business processes within a cloud environment
• Perform monitoring, tuning, and optimization of data pipelines to ensure performance, availability, and efficient resource utilization
• Work within an agile / DevSecOps pod model alongside solution leads, data modelers, analysts, and business partners
• Translate complex functional requirements into robust technical designs
• Mentor and support Data Engineers through code reviews, knowledge sharing, and engineering guidance
• Apply domain knowledge of healthcare and enterprise IT trends to inform solution delivery

Skills

• Bachelor's degree or equivalent experience, with a minimum of five years of relevant data engineering experience
• Strong hands-on experience with SQL, including scripting and automation
• Expertise with cloud platforms, Azure preferred, and services such as ADLS, Synapse, and Data Factory
• Hands-on experience with modern data stack tools such as dbt, Snowflake, Databricks, Airflow, or Tidal
• Solid knowledge of data modeling using Data Vault 2.0, along with data integration, data architecture, warehousing, and data quality
• Experience implementing CI/CD pipelines using tools such as Bitbucket or GitHub
• Strong understanding of agile delivery methodologies and enterprise cloud integration
• Excellent communication skills, with the ability to translate technical solutions for non-technical stakeholders
• Awareness of data governance, security standards, and production certification processes
• Must be eligible to work on W2 without sponsorship
• Azure preferred
• Experience in healthcare or other regulated environments
• Epic ecosystem exposure

Benefits

• Hybrid or Remote, however must reside in the following states: WA, OH, CA, AZ, CO, CT, FL, GA, MD, MN, NV, OR, AL, IL, VA, WI, TX, NY

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