Senior Data Engineer: AI-Driven Analytics & Pipelines

RevSpring, Inc.; Columbus (OH); On-site; USD 130,000 - 170,000; Full time

Job summary

RevSpring, Inc. is seeking a Senior Data Engineer - Analytics to design and own data pipelines into BigQuery or Redshift. You will refactor code, collaborate across teams, and help ensure analytics services meet SLAs.

You will build semantic layers and BI dashboards (Looker/PowerBI/Tableau) and leverage AI tools to boost productivity while maintaining data integrity and scalability across cloud platforms.

Qualifications

• Five years experience developing data platforms using Python and SQL.
• Experience owning data integrity, ensuring data is reliable, timely, and traceable from source to consumption.
• Experience creating and maintaining ETL pipelines using modern tools (Python, SQL, Airflow, DBT, S3, Airbyte, Confluent).
• Experience creating analytic semantic layers and BI dashboards (Looker, PowerBI, Tableau).

Responsibilities

• Collaborate with internal teams to design data pipelines ingesting data to BigQuery or Redshift.
• Own the codebase, identify gaps, refactor, and keep design modern.
• Code to unblock technical and communication challenges to meet roadmaps.
• Participate in architecture decisions, designs, and documentation.
• Communicate with stakeholders regarding the product you are responsible for.
• Provide feedback and participate in pair programming.

Skills

ETL Pipelines

Python

SQL

Airflow

DBT

S3

Airbyte

Confluent

BigQuery

Redshift

Postgres

Looker

PowerBI

Tableau

AWS

GCP

Azure

Big data modeling

Education

BS Degree or equivalent

Tools

Looker

PowerBI

Tableau

Python

SQL

Job description

RevSpring, Inc. is seeking a Senior Data Engineer - Analytics to design and own data pipelines into BigQuery or Redshift. You will refactor code, collaborate across teams, and help ensure analytics services meet SLAs.

You will build semantic layers and BI dashboards (Looker/PowerBI/Tableau) and leverage AI tools to boost productivity while maintaining data integrity and scalability across cloud platforms.