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 Data Engineer, Consultant for its Data Services team. This role is a senior individual contributor and technical leader responsible for driving end-to-end delivery of complex data engineering solutions across cloud data platforms and providing technical leadership and mentorship.
Responsibilities
- Lead the design and implementation of complex data pipelines and data products from development through production
- Translate solution designs and business requirements into detailed technical architecture and implementation plans
- Architect and build scalable, secure, and highly available data solutions across enterprise data platforms
- Apply advanced data modeling techniques, including Data Vault 2.0, dimensional, and domain-oriented models, to support analytics and reporting needs
- Embed data quality, testing, security, and observability by design across data pipelines
- Drive operational excellence, including incident analysis, stabilization, performance tuning, and deployment optimization
- Identify and implement optimization opportunities related to performance, reliability, and cloud cost management
- Influence and evolve the data engineering standards, patterns, and frameworks used by delivery teams
- Provide technical leadership and mentorship to Data Engineers and Senior Data Engineers through design reviews and code reviews
- Work within an agile / DevSecOps pod model, collaborating closely with solution leads, data modelers, analysts, and business partners
- Support integration of AI/ML-ready datasets by ensuring data is well-modeled, reliable, and governed
- Communicate complex technical concepts clearly to both technical and non-technical stakeholders
Skills
- Bachelor's degree or equivalent experience, with a minimum of seven years of data engineering experience
- Advanced hands-on expertise in SQL, including automation and pipeline optimization
- Strong experience with cloud platforms, Azure preferred, and services such as ADLS, Synapse, and Data Factory
- Extensive experience with modern data platforms including Snowflake and Databricks, and orchestration tools such as Airflow or Tidal
- Deep understanding of data modeling, integration patterns, data architecture, data quality, and data warehousing
- Proven experience implementing CI/CD pipelines, Infrastructure as Code, and DataOps practices
- Strong understanding of security, privacy, and compliance requirements in regulated environments
- Experience working with large-scale, distributed data platforms and parallel processing architecture
- Excellent communication and stakeholder engagement skills, with a proven ability to lead technically without formal people management responsibility
- Healthcare industry experience is preferred, including exposure to Epic or similar ecosystems
Company Overview