Senior Data Engineer - Analytics

RevSpring • Boston, MA

3d

About The Position

Essential Functions:
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.

Success in this role:
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

Requirements

• 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.
• Five years experience developing data platforms using Python, SQL

Nice To Haves

• 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.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 251-500 employees