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. This role involves designing, building, and operating complex data pipelines and cloud data solutions while ensuring production readiness and operational excellence across the organization's data products.
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
- Experience in healthcare or other regulated environments is preferred; Epic ecosystem exposure is a plus
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