Senior Data Engineer - Analytics

Senior Data Engineer

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

Team delivers reliable, scalable, high performing customer facing analytic services within analytic SLAs

Team consistently delivers committed business initiatives and coordinates with other stakeholders to roll out products with analytic insights

Business teams and Customers are empowered with AI assisted insights without dependency on engineering

Consistently deliver high quality code that is easily maintained and scaled. Your work is reliable and your team members and stakeholders fully trust you to execute your responsibilities with minimal oversight

Contribute to the team culture where innovation, autonomy, and accountability thrive

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.

Experience owning data integrity, ensuring that data is reliable, timely, and traceable from source to consumption

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

Preferred: Experience in working with large slow changing dimension data models

Preferred: Experience in the US healthcare system, in particular with data systems and EHRs such as Epic, Cerner or Athenahealth

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

Standard categories The physical capabilities described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to sit; use hands to finger, handle, or feel; reach with hands and arms; and talk or hear. The employee is occasionally required to stand and walk. The employee must occasionally lift and/or move up to 10 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus

RevSpring is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status