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Job Summary:
RevSpring is seeking a Senior Data Engineer - Analytics to design data pipelines and improve data integrity within their analytics team. The role involves collaborating with internal teams, managing the codebase, and ensuring the delivery of high-quality analytic services.
Responsibilities:
• Collaborate with other internal teams to design data pipelines to ingest information from various systems to our BigQuery or Redshift data warehouse
• Take ownership of the codebase, identifying gaps, areas for improvement, refactoring where needed, and keeping the design fresh and modern
• Actively code to unblock technical and communication challenges as necessary to ensure teams meet product roadmaps and close those gaps.
• Participate in architecture review decisions, designs, and documentation that will govern the direction of the team, the codebase, and multiple products over a several month timeframe
• Communicate effectively with stakeholders (upper management, engineering manager, product manager, and peers) regarding the product you are responsible for
• Provide feedback and participate in pair programming exercises.
Qualifications:
Required:
• Ability to approach complex, ambiguous data challenges systematically. You can diagnose the problem, come up with a plan to address it, and see that plan through.
• Experience owning data integrity, ensuring that data is reliable, timely, and traceable from source to consumption.
• Experience creating and maintaining Extract, Transform, and Load (ETL) Pipelines and using modern ETL tools such as Python, SQL, Airflow, DBT, S3, Airbyte, Confluent.
• Experience creating and maintaining analytic semantic layers and business intelligence dashboard such as Looker, PowerBI, Tableau, etc.
• Proficiency in leveraging AI agents and other AI tools to significantly enhance developer productivity.
• Experience working with database and data warehouse technologies such as Postgres, Bigquery, and Redshift.
• Experience with cloud services such as AWS, Azure, GCP.
• Experience in developing large scale data models and complex data pipelines.
• BS Degree or equivalent work experience.
• Five years experience developing data platforms using Python, SQL.
• Ability to read, analyze and interpret general business periodicals, professional journals, technical procedures or governmental regulations.
• Ability to write reports, business correspondence and procedure manuals.
• Ability to effectively present information and respond to questions from a variety of both internal and external sources.
Preferred:
• Experience in working with large slow changing dimension data models.
• Experience in the US healthcare system, in particular with data systems and EHRs such as Epic, Cerner or Athenahealth.
Company:
RevSpring is a provider of revenue cycle technology services offering data analytics, multi-channel customer communications. Founded in 1997, the company is headquartered in Wixom, USA, with a team of 501-1000 employees. The company is currently Late Stage.