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NorthBay Solutions

AWS migrations, data analytics, ML services

Senior Data Engineer - Multiple Teams

Data EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • Hands-on experience with Amazon Redshift and the AWS ecosystem.
  • Strong expertise in Oracle PL/SQL development.
  • Good experience with PostgreSQL and PL/pgSQL.
  • Understanding of data warehousing concepts and ETL processes.
  • Exposure to query optimization and performance tuning.
  • 4–7 years of experience in data engineering or database development.

Responsibilities

  • Develop and maintain data pipelines and ETL workflows on AWS.
  • Write efficient SQL queries and build stored procedures in PL/SQL and PL/pgSQL.
  • Work with Amazon Redshift for analytics and data processing.
  • Perform query optimization and performance tuning.
  • Support data integration and transformation activities.
  • Troubleshoot database and data pipeline issues.
  • Collaborate with lead engineers on architecture and enhancements.

Desired Qualifications

  • Experience with AWS S3 and Lambda.
  • Experience with SQL, ETL processes, data modeling, Linux/Unix, and Git.

About the Company

NorthBay Solutions

AWS migrations, data analytics, ML services

NorthBay Solutions is an AWS Premier Partner that helps large organizations move their databases and applications to Amazon Web Services, modernize software, and build data analytics, DevOps/DataOps pipelines, and ML/AI solutions. Its services cover database and application migrations, data and analytics workloads, DevOps and DataOps practices, and technology modernization across cloud and data platforms. The company operates by delivering engineering and consulting projects in an agile, quality-focused way to accelerate time-to-market and maximize value from cloud investments. What sets NorthBay apart is its status as an AWS Premier Partner with deep expertise in cloud migrations, data engineering, and AI/ML workloads, along with a track record of working with recognizable brands. The goal is to help clients securely migrate to AWS, modernize their applications, and unlock data-driven insights and intelligent capabilities quickly and reliably.

Company size
201-500
Company stage
Not listed
Total funding
Not listed
Headquarters
Cambridge, MA
Founded
2007

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