Description
Job Id: 71889
Data Engineer
Our client is seeking a Data Engineer to take ownership of end-to-end data processes within a growing, values-driven organization. This individual will play a key role in ensuring data is accurate, reliable, and actionable across the business. The ideal candidate is hands-on, detail-oriented, and comfortable working across the full data lifecycle—from ingestion and transformation to reporting and stakeholder enablement.
This role is a hybrid model in Portland, Oregon or Lakewood, Washington.
Data Engineer Responsibilities
- Own data quality across systems by identifying, troubleshooting, and resolving inconsistencies and inaccuracies.
- Design, build, and maintain scalable ETL/ELT pipelines to transform raw data into clean, structured datasets.
- Manage data ingestion processes from multiple internal and external sources, including APIs and databases.
- Develop and optimize SQL queries, data models, and schemas to support analytics and reporting needs.
- Create and maintain dashboards and reports in Power BI, ensuring they are accurate, user-friendly, and actionable.
- Partner with business stakeholders to translate requirements into data solutions and meaningful insights.
- Monitor pipeline performance and reliability, proactively addressing failures and inefficiencies.
- Contribute to data architecture design, including data lake structure and best practices.
- Document data sources, transformations, and workflows to support transparency and scalability.
- Collaborate cross-functionally with engineering and business teams to support data-driven decision making.
Data Engineer Qualifications
- 3+ years of experience in a data engineering, analytics engineering, or similar role with ownership of data pipelines and reporting.
- Strong proficiency in SQL, including complex queries, joins, and performance optimization.
- Hands-on experience with Python for data transformation, scripting, and automation.
- Proven experience building and maintaining Power BI dashboards, including data modeling and DAX.
- Experience designing and managing ETL/ELT processes and understanding when to apply each approach.
- Familiarity with cloud-based data platforms, preferably within a Microsoft ecosystem (e.g., Azure Data Factory, Synapse, or similar tools).
- Experience working with data lakes and modern data architecture concepts.
- Ability to work with APIs and semi-structured data formats such as JSON.
- Strong communication skills with the ability to explain data concepts to non-technical stakeholders.
- Detail-oriented with a strong sense of ownership and accountability for data accuracy.
Preferred:
- Experience with ERP or CRM systems as data sources (e.g., Microsoft Dynamics environments).
- Familiarity with transformation frameworks such as dbt.
- Experience working in smaller, collaborative teams with broad responsibilities.
- Background supporting financial or operational data where accuracy is critical.
Salary: $80K-$105K/year. (DOE)
Benefits
Benefits are available to eligible full-time employees and include coverage for medical, dental, vision, life insurance, short and long term disability, and matching 401k.
Meet VanderHouwen
What kind of recruiter do you see yourself working with? One who prioritizes your best interest, no matter what? VanderHouwen does, and we’re in it for the long game! Our recruiters focus on YOU, building meaningful, long-term relationships while developing a deep understanding of companies’ staffing needs and workplace cultures. This approach helps us find an ideal job match that aligns with your unique career aspirations and goals.
VanderHouwen is an award-winning, Women & Diversity-Owned, WBENC certified professional staffing firm. Founded in 1987, VanderHouwen places experienced professionals across the nation! Our recruitment teams specialize in either Technology and IT, Engineering, Human Resources, or Accounting and Finance career markets. Partner with us to land your next exciting career!
VanderHouwen is an Equal Opportunity Employer and participates in E-Verify. VanderHouwen does not discriminate based on race, color, religion, sex, national origin, age, disability, or any other characteristic protected by applicable local, state, or federal civil rights laws.
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