Staff Data Engineer

Essential Job Responsibilities & Key Performance Outcomes

• Work cross functionally to identify opportunities for leveraging company data to drive business solutions.
• Design, build, and maintain robust data pipelines to support optimization and improvement of product development, sales, marketing techniques and business strategies.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Develop custom data models, pipelines, and architecture to apply to large-scale data sets.
• Build scalable, reliable data infrastructure to optimize customer experiences, revenue generation, and other business outcomes.
• Cooky with different functional teams to implement data solutions and monitor pipeline performance.
• Develop processes and tools to monitor and analyze data pipeline performance, data quality, and data accuracy, including responsible AI practices.
• Champion innovation in data engineering practices, evaluating and introducing new tools, architectures, and techniques to keep the organization at the leading edge.

Required Skills & Experience

• Minimum of five (5) years experience building data pipelines and engineering large-scale data sets.
• Advanced level SQL coding & query optimization.
• Experience with healthcare data and standard UB/HCFA claim fields.
• Experience with data pipelines and architecture in Snowflake on Cloud Platforms (strongly preferred).
• Experience using programming languages (Python, SQL, etc.) to build data pipelines and process large data sets.
• Experience working with Java, Spark and/or Python.
• Experience working in Project Management tools (Jira, Confluence).

Preferred Skills & Experience

• Strong problem-solving skills with an emphasis on product development.
• Excellent written and verbal communication skills for coordinating across teams.
• Drive to learn and master new technologies and techniques, with a passion for driving innovation.
• Knowledge of modern data pipeline orchestration and ETL/ELT tools and their real-world advantages/drawbacks.
• Knowledge of data architecture and modeling concepts (dimensional modeling, data warehousing, distributed systems, etc.) and experience with applications.
• Experience in analytic report and dashboard development.

Pay

The US base salary range for this full-time position is: $104,368.00 - $156,551.00. The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate’s relevant experience, education, and work location. Please note that the compensation details listed in US role postings reflect the base salary only, and does not reflect the value of the total rewards compensation.