Data Engineer II

Posted 4 Days Ago
8 Locations
In-Office
140K-170K Annually
Mid level
Professional Services • Real Estate • Industrial
The Role
Designs, builds, tests, deploys, and supports scalable data pipelines, integrations, data models, APIs, and reusable platform components. Owns solutions through monitoring and production support, optimizes performance and cost, implements testing, observability, security, governance, and CI/CD practices, and troubleshoots incidents. Partners with analytics, data science, architecture, product, and business teams while mentoring junior engineers and improving automation and data quality.
Summary Generated by Built In
Overview

The Data Engineer II independently designs, builds, tests, deploys, and supports scalable data pipelines, integrations, models, and reusable platform components. This role translates defined business and analytical requirements into secure, reliable solutions and partners across data, technology, and business teams to improve data accessibility and quality.

Responsibilities
  • 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 batch or near-real-time workflows.
  • Translate business rules and source-system behavior into maintainable technical designs and mappings.
  • Implement automated testing, reconciliation, observability, alerting, metadata, and lineage for assigned solutions.
  • Tune data pipelines, storage, and queries for reliability, scalability, performance, and cost effectiveness.
  • Troubleshoot production incidents, perform root-cause analysis, remediate defects, and prevent recurrence.
  • Apply CI/CD, version control, code review, documentation, security, privacy, and governance standards.
  • Partner with analytics, BI, data science, architecture, product, and business teams to deliver usable data products.
  • Identify opportunities to automate manual flows and create reusable engineering patterns.
  • Mentor junior engineers through technical guidance, code review, and knowledge sharing.
Qualifications
  • Bachelor's degree in computer science, information systems, engineering, mathematics, statistics, or a related field.
  • 3-5 years of relevant experience in data engineering, software engineering, business intelligence, analytics engineering, or data platform development.
  • Experience building and supporting production ETL/ELT pipelines, data models, warehouses, lakes, or lakehouses.
  • Strong SQL and proficiency in Python, Scala, Java, or a similar language.
  • Experience with a cloud data platform, orchestration tool, and automated testing or CI/CD preferred.
  •  Or equivalent combination of education and experience.
Visa Sponsorship: This position is not eligible for employment visa sponsorship. Applicants must be authorized to work in the United States without current or future sponsorship.

Salary to be determined based on factors such as geographic location, skills, education, and/or experience of the applicant, as well as the internal equity and alignment with the team.

The pay ranges from $140,000.00-$170,000.00 plus benefits and retirement program.


Gilbane offers an excellent total compensation package which includes competitive health and welfare benefits and a generous profit-sharing/401k plan. We invest in our employees’ education and have built Gilbane University into a top training organization in the construction industry. Qualified applicants who are offered a position must pass a pre-employment substance abuse test.

Gilbane is an Affirmative Action/Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to age, color, national origin, race, religion, sex, sexual orientation, gender identity, protected veteran status, or disability status. Click here to view the physical demands and working conditions required to perform this role. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential job functions.

Note to Recruiters, Placement Agencies, and Similar Organizations: Gilbane does not accept unsolicited resumes from agencies. Please do not forward unsolicited agency resumes to our jobs alias, website, or to any Gilbane employee. Gilbane will not pay fees to any third party agency or firm and will not be responsible for any agency fees associated with unsolicited resumes. Unsolicited resumes received will be considered property of Gilbane and will be processed accordingly. 

Skills Required

  • Bachelor's degree in computer science, information systems, engineering, mathematics, statistics, or a related field
  • 3-5 years of relevant experience in data engineering, software engineering, business intelligence, analytics engineering, or data platform development
  • Experience building and supporting production ETL/ELT pipelines, data models, warehouses, lakes, or lakehouses
  • Strong SQL proficiency
  • Proficiency in Python, Scala, Java, or a similar programming language
  • Experience with a cloud data platform
  • Experience with a data orchestration tool
  • Experience with automated testing or CI/CD
  • Equivalent combination of education and experience may be accepted
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The Company
HQ: Providence, RI
4,389 Employees
Year Founded: 1870

What We Do

Gilbane, Inc. is a privately held, family-owned global builder and real estate developer. Through Gilbane Building Company and Gilbane Development Company, it provides construction management, general contracting, design-build, facilities management, real estate development, investment, property management, and consulting services. Operating across North America and internationally, Gilbane delivers complex projects and develops communities while emphasizing safety, quality, client-focused collaboration, and positive outcomes.

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