Senior Data Engineer: AI-Driven Analytics & Pipelines

RXinsider LTD.

Boston (MA)

On-site

USD 120,000 - 170,000

Full time

11 days ago

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Job summary

RevSpring is seeking a Senior Data Engineer - Analytics in Boston to design scalable data pipelines feeding BigQuery or Redshift data warehouses. You will own the codebase, refactor when needed, and collaborate with cross-functional teams to meet product roadmaps and deliver AI-enhanced analytics.

The role requires experience building ETL pipelines with Python, SQL, Airflow, DBT, plus BI dashboards with Looker/PowerBI/Tableau.

Qualifications

  • Ability to approach complex data challenges systematically and deliver end-to-end data pipelines.
  • Experience owning data integrity and ensuring reliable, timely data from source to consumption.
  • Experience creating ETL pipelines using Python, SQL, Airflow, DBT, with cloud storage (S3) and integration tools (Airbyte, Confluent).
  • Experience building analytic semantic layers and BI dashboards (Looker, PowerBI, Tableau).
  • Experience with Postgres, BigQuery, Redshift; cloud platforms AWS/Azure/GCP.

Responsibilities

  • Collaborate across teams to design data pipelines ingesting data into BigQuery or Redshift.
  • Own codebase, identify gaps, refactor, and keep design modern.
  • Code to unblock technical challenges and meet product roadmaps.
  • Contribute to architecture decisions, documentation, and governance of data products.
  • Communicate with stakeholders and participate in pair programming.

Skills

Data modeling
Data pipeline design
AI-assisted development
Python
SQL
Airflow
DBT
S3
Airbyte
Confluent
BigQuery
Redshift
Postgres
AWS
Azure
GCP
Looker
PowerBI
Tableau

Education

BS Degree in Computer Science or related field

Tools

Python
SQL
Airflow
DBT
S3
Airbyte
Confluent
Looker
PowerBI
Tableau
Postgres
BigQuery
Redshift
AWS
Azure
GCP

Job description

RevSpring is seeking a Senior Data Engineer - Analytics in Boston to design scalable data pipelines feeding BigQuery or Redshift data warehouses. You will own the codebase, refactor when needed, and collaborate with cross-functional teams to meet product roadmaps and deliver AI-enhanced analytics.

The role requires experience building ETL pipelines with Python, SQL, Airflow, DBT, plus BI dashboards with Looker/PowerBI/Tableau.

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