Data Engineer in Wenatchee, Washington at Goodfellow Bros Inc

Goodfellow Bros. (GBI) is a large heavy-civil contractor with operations throughout the West Coast & Hawaii. Our company is a fourth-generation, family-owned business, celebrating over 100 years in the industry! We have earned a reputation for professionalism and integrity that reflects our longstanding commitment to the individuals, businesses, and resources of the communities in which we live and work.

GBI has always maintained that our employees are our greatest asset, and we are now seeking to add to our team. We are looking for a Data Engineer to join our team in Wenatchee, WA.

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. This role connects data from enterprise systems, field operations, finance, equipment, safety, and project delivery tools into reliable, governed, and usable data assets. Working at the intersection of technology, operations, and analytics, the Data Engineer translates business needs into scalable data solutions that improve reporting, operational visibility, and continuous improvement.

The ideal candidate is technically strong, business-curious, and comfortable partnering with both technical and non-technical teams. While the role is primarily focused on data engineering, it also supports analytics, dashboard enablement, trend analysis, forecasting, and the development of data products that business users can trust.

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.
• Coordinate 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 at Goodfellow Bros.

At Goodfellow Bros., employee well-being is a top priority. Our comprehensive total rewards package is designed to support your physical, mental, and financial health while offering the flexibility to meet the diverse needs of you and your family. Here’s what you can expect:

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

Additional Compensation

• 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.