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Mid-level, common data-engineer title and metro hiring increase applicant competition.
Core data engineering skills are transferable, though healthcare-specific tools slightly increase specialization.
Explicit 6+ years requirement and mandatory data engineering skills make filters moderately strict.
Lead data engineering efforts involving legal reporting, historical data management, and application retirement.
Own data migration, ETL pipelines, data validation, reconciliation, and performance tuning for large-scale data environments.
Manage stakeholder relationships and lead vendor coordination and people leadership for data infrastructure readiness and security patching.
Bachelor's degree in computer science, IT, data engineering, software engineering, or equivalent experience required.
6+ years of experience in data engineering, big data architecture, software development, or data warehousing required.
Experience with SQL (Microsoft SQL Server, MySQL, IBM Db2), ETL processes, reporting tools (Power BI, SAP BusinessObjects), and database/server management required.
Preferred certifications include Certified Data Engineer, Google Cloud Professional Data Engineer, or Databricks Certified Data Engineer Professional; work experience required but notice period not explicitly mentioned.
Experienced in managing complex data engineering projects with legal and historical data compliance requirements.
Comfortable leading cross-functional teams and liaising with multiple stakeholders and vendors in a regulated environment.
Proficient in both technical execution (query optimization, data modeling, server administration) and strategic oversight of data infrastructure readiness and security.