Data Engineer

Position Summary

Goodfellow Bros. is seeking a Data Engineer to design, build, and maintain trusted data pipelines, models, and platforms that support timely, accurate, and actionable business decisions across the organization.

Position Description

• Own the full lifecycle of data pipelines connecting ERP, field operations, and enterprise systems into a unified data layer.

• Establish and maintain pipeline patterns, data quality frameworks, and engineering standards that can scale across the organization.

• Build and support curated data models, semantic layers, and datasets for reporting, dashboards, and self-service analytics.

• Partner with business stakeholders to translate operational questions into data requirements, source-to-target logic, data definitions, and reusable reporting assets.

• Implement automated data quality checks, monitoring alerts, and lineage documentation to strengthen trust in enterprise data.

• Support forecasting, predictive analysis, and machine-learning-ready datasets where appropriate, ensuring outputs are explainable, practical, and tied to business decisions.

• Cook up coordination with IT, platform owners, finance, field operations, and other internal teams to align data architecture, integrations, security, governance, and support expectations.

• Document pipelines, data models, and transformation logic through technical documentation, data dictionaries, and operational runbooks.

• Support the deployment, adoption, and continuous improvement of enterprise data tools, reporting capabilities, and analytics practices.

• Promote responsible data use, including appropriate access controls, data stewardship, privacy, and consistent interpretation of key business metrics.

What Success Looks Like

• Reliable, timely, and well-documented data pipelines that support priority business needs.

• Improved confidence in enterprise reporting through stronger data quality, validation, and governance.

• Increased adoption of applications, datasets, and analytics tools by business and operations teams.

• Clearer business definitions, ownership, and lineage for key operational and financial metrics.

• Actionable insights from operational data, including trends, exceptions, and improvement opportunities.

• Strong partnerships with stakeholders that lead to practical, well-adopted data solutions.

Competitive Benefits & Total Rewards

• This position offers a salary range of $90,000 to $125,000 annually, depending on experience.

• Employee Stock Ownership Plan (ESOP): As a partially employee-owned company, GBI offers eligible employees the opportunity to build long-term wealth through shared ownership.

• 401(k) + Profit Sharing: Immediate eligibility with generous annual employer contributions that go beyond traditional match programs.

• Wellness Incentives: Earn up to $700 per year for participating in healthy lifestyle activities.

• Employee Referral Bonuses: Help grow our team and receive bonuses for successful referrals.

• Benefits:

  • Medical, Dental & Vision Insurance: Low-cost plan options, including Premera HSA (WA, OR, CA), Kaiser HMO (OR, CA, HI), and HMSA (HI).

  • Preventive care is covered at 100%.

  • Paid Time Off: Up to 26 days of vacation, 9 sick days, and 11 paid holidays annually.

  • Parental & Family Leave: One paid bonding week, with additional unpaid leave available.

  • Disability & Life Insurance: Company-paid short-term and long-term disability, plus life insurance coverage up to 1.5x your annual salary.

  • Training & Career Growth: Access to leadership development programs, mentorship, and career advancement support.

  • Perks & Community Programs: Charitable contribution matching, paid volunteer time, and retail discounts.

Required Education, Experience, And Technical Knowledge

• Candidates must have the legal right to work in the US without employer sponsorship.

• Goodfellow Bros. is unable to provide visa sponsorship or immigration assistance for this position.

• Bachelor’s degree in information systems, computer science, data analytics, engineering, business, or equivalent practical experience preferred.

• Experience designing and maintaining data pipelines, data models, data warehouses, or business intelligence datasets.

• Strong SQL skills and experience with relational databases, cloud data platforms, ETL/ELT tools, APIs, and data transformation workflows.

• Experience with business intelligence or analytics tools such as Power BI or similar reporting platforms.

• Ability to work with stakeholders to define metrics, document business rules, and translate operational needs into practical technical solutions.

• Working knowledge of data quality practices, data governance, access controls, documentation, and support models.

• Familiarity with Python, TypeScript, notebooks, statistical analysis, forecasting, or machine-learning concepts preferred.

• Strong communication, problem-solving, and customer-service skills, with the ability to explain technical concepts to non-technical audiences.

• Construction, heavy-civil, operations, finance, equipment, or enterprise systems experience preferred.