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Data Engineer Jobs in Bellingham, WA (NOW HIRING)

Sakata Seed America, INC.

Data Engineer

Burlington, WA · On-site

$110K - $125K/yr

The Data Engineer will design ETL/ELT workflows, manage lakehouse, warehouse, and database assets, optimize performance, enforce data quality standards, and support secure, governed access to ...

Bespoke Labs

Data Engineer

Bellingham, WA · On-site

$119K - $142K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Imagine Staffing Technology

Control Engineer

Burlington, WA · On-site

$90K - $105K/yr

Control Engineer Location : Burlington, WA Hire Type : Direct Hire Pay Range : $90,000 - $105,000 ... Collects and analyzes data, justify procedural changes or process modifications, and established ...

America At Work

Senior Mechanical Engineer

Ferndale, WA · Hybrid

$115K - $145K/yr

Develop equipment specifications and data sheets * Review pressure vessels, tanks, pumps ... Mentor junior engineers and provide technical leadership * Interface directly with clients ...

America At Work

Senior Mechanical Engineer

Ferndale, WA · Hybrid

$115K - $145K/yr

Develop equipment specifications and data sheets * Review pressure vessels, tanks, pumps ... Mentor junior engineers and provide technical leadership * Interface directly with clients ...

HF Sinclair

Process Projects Engineer

Anacortes, WA

Basic Function Conducts engineering duties for an assigned Engineering discipline and functions as ... Line lists Necessary equipment process data sheets * Preliminary and final safeguarding studies ...

HF Sinclair

Process Projects Engineer

Anacortes, WA · On-site

Basic Function Conducts engineering duties for an assigned Engineering discipline and functions as ... Line lists Necessary equipment process data sheets * Preliminary and final safeguarding studies ...

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Showing results 1-20

All JobsData Engineer JobsData Engineer Jobs in Bellingham, WA

Data Engineer information

See Bellingham, WA salary details

$46.3K

$134.8K

$184.5K

How much do data engineer jobs pay per year?

As of Jul 27, 2026, the average yearly pay for data engineer in Bellingham, WA is $134,827.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,000.00 and $142,900.00 per year, depending on experience, location, and employer.

Is a data engineer a difficult job?

A data engineer role involves designing, building, and maintaining data pipelines and infrastructure, which requires strong programming skills, knowledge of databases, and familiarity with tools like SQL, Python, and cloud platforms. The job can be challenging due to the complexity of managing large-scale data systems and ensuring data quality and security, but it is manageable with proper training and experience.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

What are the key skills and qualifications needed to thrive as a Data Engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What Does a Data Engineer Do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What are Data Engineers?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do Data Engineers typically collaborate with Data Scientists and Analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships, certifications, or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect prior experience or demonstrated technical competence.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives. These roles typically require strong programming, cloud platform expertise, and a deep understanding of data architecture.
More about Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Bellingham, WA? The most popular types of Data Engineer jobs in Bellingham, WA are:
What are popular job titles related to Data Engineer jobs in Bellingham, WA? For Data Engineer jobs in Bellingham, WA, the most frequently searched job titles are:
What job categories do people searching Data Engineer jobs in Bellingham, WA look for? The top searched job categories for Data Engineer jobs in Bellingham, WA are:
What cities near Bellingham, WA are hiring for Data Engineer jobs? Cities near Bellingham, WA with the most Data Engineer job openings:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Bellingham, WA as of July 2026, with employment types broken down into 82% Full Time, and 18% Part Time. Highlights an 82% In-person, 6% Hybrid, and 12% Remote job distribution, with an average salary of $134,827 per year, or $64.8 per hour.
Data Engineer

Data Engineer

Sakata Seed America, INC.

Burlington, WA • On-site

$110K - $125K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

Job description


Position Summary

The Data Engineer designs, builds, and maintains scalable data solutions that support operational reporting, analytics, and enterprise decision-making. This role is responsible for developing reliable data pipelines, integrating data from internal and third-party systems, and delivering trusted, well-structured data for business use across the organization.


The position combines hands-on engineering, data architecture, and operational support. The Data Engineer will design ETL/ELT workflows, manage lakehouse, warehouse, and database assets, optimize performance, enforce data quality standards, and support secure, governed access to enterprise data. This role partners closely with application owners, analysts, developers, and IT leadership to translate business needs into sustainable technical solutions.


A successful candidate will bring strong SQL and data modeling skills, experience with cloud and hybrid data platforms, and practical knowledge of orchestration, automation, and monitoring. Experience with Microsoft Fabric, relational databases, APIs, file-based ingestion, and modern data engineering practices is highly valued.


This position requires the ability to manage multiple priorities, contribute to project delivery and operational support, document solutions clearly, and participate in maintenance or incident response activities when needed. The ideal candidate is collaborative, detail-oriented, and committed to building resilient, efficient, and secure data solutions.

Essential Duties and Responsibilities

  • Design, build, and maintain scalable data pipelines and data integration processes that move data reliably from source systems into curated analytical and operational data stores.
  • Develop ETL/ELT workflows for structured, semi-structured, and file-based data using appropriate orchestration, transformation, and scheduling methods.
  • Implement and support Microsoft Fabric solutions, including Data Factory pipelines, Lakehouse, Warehouse, Dataflow Gen2, notebooks, and related services for ingestion, transformation, and delivery of trusted data.
  • Design and maintain data models, schemas, and data structures that support reporting, analytics, and downstream application needs.
  • Integrate data from enterprise applications, databases, APIs, flat files, and third-party platforms while ensuring data accuracy, completeness, and consistency.
  • Optimize data queries, transformation logic, storage design, and pipeline performance to improve reliability, scalability, and cost efficiency.
  • Implement monitoring, alerting, logging, and data quality checks to detect failures, anomalies, and processing issues before they affect business operations.
  • Support data governance, security, and compliance requirements by applying access controls, audit practices, retention standards, and secure data handling procedures.
  • Collaborate with business stakeholders, analysts, developers, and IT team members to gather requirements, define technical approaches, and deliver high-value data solutions.
  • Create and maintain technical documentation for pipelines, source mappings, transformations, data definitions, standards, and operational procedures.
  • Participate in troubleshooting, root cause analysis, and continuous improvement efforts related to data platform health, performance, and service reliability.
  • Contribute to standards for version control, testing, deployment, and change management for data assets and engineering workflows.
  • Perform additional duties as assigned in support of evolving business priorities and enterprise data initiatives.


Effectiveness and Work Management

To perform successfully in this role, the following skills and attributes are essential:

Analytical and Problem Solving
  • Demonstrate the ability to analyze data performance metrics, system behavior, and business requirements to make informed technical decisions.
  • Diagnose and resolve data issues using sound logic and reasoning, including query inefficiencies, data integrity concerns, and platform-related bottlenecks.
  • Anticipate potential risks and take proactive steps to improve resilience, scalability, and operational continuity.
Initiative and Adaptability
  • Take initiative when operational challenges or opportunities for improvement arise, acting decisively while protecting data availability and integrity.
  • Adapt to changing business requirements, project priorities, and emerging database technologies.
  • Efficiently work through formal and informal channels to remove roadblocks and support the timely delivery of database-related solutions.
Collaboration and Communication
  • Partner effectively with application owners, developers, analysts, and infrastructure teams to achieve shared business and technical goals.
  • Obtain cooperation and support from internal and external stakeholders when planning, implementing, or troubleshooting database solutions.
  • Maintain clear and professional communication with IT Leadership and peers to ensure alignment, transparency, and effective issue resolution.
Continuous Improvement and Professionalism
  • Seek and accept feedback for personal and professional growth.
  • Reflect on experiences to identify lessons learned and apply them to future situations.
  • Take ownership of development and demonstrate integrity in conduct, appearance, and respectful interactions.
  • Build trust and credibility through consistent performance and respectful interactions.
Execution and Accountability
  • Complete data projects and assignments on time and in alignment with operational priorities and service expectations.
  • Maintain accurate, up-to-date documentation, including data architecture, configurations, standards, backup procedures, and operational runbooks.
  • Provide practical alternatives and recommendations when technical constraints arise to ensure continuity and business support.


Technical Skills
  • Strong command of data for querying, transformation, performance tuning, and database object development.
  • Working knowledge of Python or similar scripting languages for data processing, automation, and integration tasks.
  • Experience with data modeling concepts, including normalization, dimensional modeling, star schemas, and slowly changing dimensions.
  • Hands-on experience with Microsoft Fabric, relational databases, cloud data services, and modern data integration patterns.
  • Understanding of orchestration, scheduling, CI/CD concepts, monitoring, and data quality validation in production environments.
  • Knowledge of secure data handling, access control, governance, backup and recovery, and operational support best practices.
Communication
  • Maintain clear, consistent, and professional communication with IT Leadership, team members, vendors, and business stakeholders to support department and company objectives.
  • Communicate effectively across all levels of the organization, translating database concepts into practical business language when needed.
  • Demonstrate a strong understanding of the Corporate vision, objectives, and core values.
  • Express ideas, risks, recommendations, and technical information clearly and concisely, both verbally and in writing.
  • Actively listen to stakeholders and accurately interpret operational needs, project requirements, and support issues.
  • Provide customer-focused service, ensuring a positive and professional experience from initial request through resolution.
Minimum Requirements and Qualifications

Education and Experience
  • Bachelor’s degree in Computer Science, Information Systems, Engineering, Mathematics, or a related technical field; equivalent practical experience may be considered.
  • Minimum of 5 years of professional experience in data engineering, ETL/ELT development, data integration, database development, or a related enterprise data role, including experience building production-grade data pipelines and supporting business-critical data platforms.


Certifications
  • Relevant Microsoft, Azure, Fabric, data, or cloud platform certifications are preferred.
  • Certifications related to data engineering, security, analytics, or platform administration are a plus.


Core Competencies
  • Ability to design and support scalable, maintainable data pipelines and integration workflows across multiple systems.
  • Strong understanding of data quality, lineage, governance, and secure data management practices.
  • Proven ability to analyze requirements, solve complex technical problems, and communicate clearly with technical and non-technical stakeholders.
  • Demonstrated ownership, attention to detail, documentation discipline, and commitment to operational reliability.
Technical Expertise

Candidates must demonstrate in-depth knowledge and hands-on experience with:

  • Data Platforms: Microsoft Fabric, SQL Server, PostgreSQL, MySQL, cloud data services, lakehouse and warehouse platforms, or equivalent enterprise technologies
  • Data Engineering: ETL/ELT design, pipeline orchestration, ingestion frameworks, transformation logic, data quality controls, and batch or scheduled processing
  • Development: SQL, Python, stored procedures, views, functions, scripting, API integration, and automation
  • Data Modeling and Storage: Relational design, dimensional modeling, partitioning, indexing, schema design, and storage optimization
  • Operations and Reliability: Monitoring, logging, alerting, troubleshooting, backup and recovery, disaster recovery, and performance tuning
  • Security and Governance: Role-based access, auditing, encryption awareness, retention practices, and support for compliance requirements
Preferred Tools and Knowledge
  • Experience with Microsoft Fabric components such as Data Factory pipelines, Lakehouse, Warehouse, Dataflow Gen2, notebooks, and semantic models.
  • Familiarity with medallion architecture, Delta-based storage patterns, dimensional models, and modern analytics delivery practices.
  • Experience integrating data from REST APIs, flat files, ERP or line-of-business applications, SaaS platforms, and external data providers.
  • Knowledge of source control, release management, and CI/CD practices for data engineering assets and platform changes.
  • Exposure to Spark, data warehouse optimization, business intelligence platforms, and enterprise data governance tools is beneficial.

BENEFITS:

Health & Wellness
Medical, Dental & Vision Insurance
Monthly Wellness Stipend
Employee Assistance Program (EAP)

Employee Philanthropic Giving Program

Disability Insurance (plans vary by location)


Financial Benefits
401(k) Program + Company Match
Profit Sharing Program (via 401(k)

Holiday Bonus

Performance Incentive Bonus Program
Tuition Reimbursement

529 College‑Savings Plan
Company-Paid Basic Life & AD&D Insurance


Time Off & Flexibility
Paid Vacation
Paid Sick Leave
15 Paid Company Holidays
2 Floating Holidays

Birthday Off