Data Engineer II — Build Scalable Data Pipelines & Apps

Gilbane Building Company; Glastonbury (CT); Presencial; USD 140 000 - 170 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health and welfare benefits

Profit-sharing/401k plan

Gilbane University training

Resumo da oferta

Gilbane Building Company is seeking a Data Engineer II to design, build, test, and deploy scalable data pipelines and reusable platform components. You will translate business and analytical requirements into secure, reliable solutions and collaborate with data, technology, and business teams to improve data accessibility and quality.

The role emphasizes ownership of end-to-end data engineering tasks, collaboration with analytics, BI, and architecture teams, and opportunities to mentor junior

Qualificações

• Bachelor's degree or higher in a relevant field such as computer science, information systems, engineering, math, statistics.
• 3–5 years of data engineering, software engineering, BI, analytics engineering, or data platform development experience.
• Experience building and supporting production ETL/ELT pipelines, data models, warehouses, lakes, or lakehouses.

Responsabilidades

• Own defined data engineering solutions from requirements and design through deployment, monitoring, and support.
• Build and optimize ETL/ELT pipelines, integrations, data models, APIs, and workflows.

Conhecimentos

SQL

Python

Scala/Java

Data pipelines

ETL/ELT

Formação académica

Bachelor's degree in CS/IS/engineering

Ferramentas

Cloud data platform

Orchestration tool

CI/CD

Descrição da oferta de emprego

Gilbane Building Company is seeking a Data Engineer II to design, build, test, and deploy scalable data pipelines and reusable platform components. You will translate business and analytical requirements into secure, reliable solutions and collaborate with data, technology, and business teams to improve data accessibility and quality.

The role emphasizes ownership of end-to-end data engineering tasks, collaboration with analytics, BI, and architecture teams, and opportunities to mentor junior