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Lead and mentor data engineering team to scale data platform, establish best practices, and deliver on business data needs. Responsible for processing Claims, Revenue, and Medicare Specific files and data from 30+ payors into Data Warehouse.
Job Responsibility:
Lead, mentor, and grow team of 6-8 data engineers
Manage hiring, training, and professional development
Conduct performance reviews and provide feedback
Own technical vision and roadmap for data platform
Lead design, development, and maintenance of data pipelines and data warehouses
Drive best practices in data modeling, ETL/ELT processes, and data governance
Oversee implementation of new data technologies and architectures
Partner with product managers, data scientists, analysts, and other engineering teams
Ensure data platform meets standards for performance, security, and data quality
Establish culture of operational excellence including monitoring and incident response
Manage and optimize data infrastructure costs
Requirements:
Bachelor's or master's degree in Computer Science, Data Science, or related field
7+ years of experience in data engineering
5+ years in technical leadership or management role
Experience building and leading high-performing data engineering teams
Deep expertise with cloud platforms (AWS, Azure, or GCP)
Experience with big data frameworks (Apache Spark, Hadoop)
Experience with data warehousing solutions (Snowflake, Redshift, BigQuery)
Experience with workflow orchestration tools (Airflow, Dagster)
Solid experience with SQL, Python, PySpark
Excellent communication, interpersonal, and leadership skills
Strategic mindset with ability to balance long-term vision with immediate business needs
Experience with real-time data streaming technologies (Kafka)
Nice to have:
Familiarity with healthcare data and healthcare insurance feeds
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