Senior Data Engineer

Responsibilities

• Data Infrastructure Orchestration - Build and maintain cloud native infrastructure for Data Platform (AWS, Terraform)
• Data Pipelines - Create new pipelines and improve/maintain existing pipelines using Spark (Python, Pyspark, SQL)
• Data Modeling - Partner with analytic consumers to design logical and physical schemas, improve existing data models and build new ones
• Cross-functional Collaboration - Interface with Product, Engineering, Data Science, Analytics/BI, and Operations to understand their data needs, providing both consultative and data engineering solutions for consumers
• Build data expertise and own data quality across various business domains including healthcare claims and member experience
• Manage the Business Intelligence development lifecycle, from semantic model development and version control to user administration, ensuring high data quality and consistency from the pipeline through to the visualization layer.
• Enable fellow developers to "self-service" their data needs
• Leverage best in industry practices to build the next generation data ecosystem to collect, move, store and analyze data
• To be successful in this role, you'll need:
• BS degree in Computer Science or related technical field, or equivalent practical experience
• 4+ years proven work experience as a data engineer, working with at least one programming language (e.g. Scala, Python/PySpark) plus SQL expertise
• 4+ years experience with schema design, dimensional data modeling, and large-scale data warehousing architecture
• Expertise in building data pipelines through efficient ETL design, implementation and maintenance
• Background working with distributed data systems such as Spark, Presto, Hive, and Redshift. Experience with BI platform administration and/or schedulers/workflow management tools (e.g. Airflow) a plus
• Excellent communication skills to collaborate with stakeholders in Engineering, Product, Data Science, Analytics/BI, and Operations
• Pay Transparency Statement
• This is a hybrid position based out of our Plano office, with the expectation of being in office at least three weekdays per week. #LI-hybrid
• Plano, TX Pay Range
• $135,080 - $168,850 USD
• Why Join Us?
• Mission-driven culture that values innovation, collaboration, and a commitment to excellence in healthcare
• Impactful projects that shape the future of our organization
• Opportunities for professional development through internal mobility opportunities, mentorship programs, and courses tailored to your interests
• Flexible work arrangements and a supportive work-life balance
• Privacy Notice
• For more information about why we need your data and how we use it, please see our privacy policy: https://collectivehealth.com/privacy-policy/ .

Benefits

Additional Information

At Collective Health, we're transforming how employers and their people engage with their health benefits by seamlessly integrating cutting-edge technology, compassionate service, and world-class user experience design. We deliver a connected healthcare experience for over a quarter million members and 60+ companies across the nation who want the best for their employees. We've got a ton of interesting problems to solve around data pipeline design and implementation, data architecture and modeling, distributed systems, and more. If you're passionate about tackling hard problems while making a real difference in the world, we'd love to talk!

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