Data Engineer New Redmond, WA

Blueprint Technologies, LLC.; Redmond (WA); Remote; USD 110,000 - 122,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

Flexible Spending Account (FSA)

Competitive paid time off

Parental leave

Professional growth and development

Job summary

Blueprint Technologies, LLC. is seeking a data engineering lead to design and maintain data-intensive systems. You will build scalable pipelines with Python, SQL, and Apache Spark to support data migration and processing across complex datasets.

You will ensure data quality, perform validations, and troubleshoot production issues while collaborating with cross‑functional teams to meet timelines and standards. Remote-friendly with local Redmond, WA presence, strong CS foundations are essential.

Qualifications

• > 5–7 years of relevant experience in software engineering, data engineering, or data‑intensive systems development.
• > Strong programming proficiency in Python and SQL.
• > Hands‑on experience with Apache Spark for large‑scale data processing and transformation.
• > Experience performing data quality checks, data comparisons, reconciliation, and validation across systems or datasets.
• > Strong foundation in CS fundamentals and system design.
• > Experience designing, developing, testing, and maintaining complex data processing systems.

Responsibilities

• Design, develop, and maintain scalable data engineering solutions to support data migration, processing, and integration initiatives.
• Build and optimize data pipelines and processing workflows using Python, SQL, and Apache Spark.
• Perform data quality assessments, validation, reconciliation, and comparisons to ensure data accuracy and integrity.
• Analyze business and system requirements and translate them into technical specifications and reliable data solutions.
• Develop, test, and maintain data transformation logic and software components for new and existing systems.
• Troubleshoot complex data processing issues, investigate discrepancies, identify root causes, and implement corrective actions.
• Prepare technical documentation, test plans, and validation procedures for data migration and engineering projects.
• Conduct unit testing, integration testing, and quality assurance reviews to verify accuracy and reliability.
• Support data migration activities, including mapping, transformation, validation, and post‑migration verification.
• Collaborate with engineering and cross‑functional stakeholders to resolve technical challenges and deliver within timelines.
• Optimize data processing performance, maintainability, and reliability across large‑scale data systems.

Skills

Python

SQL

Data engineering

Data quality

Troubleshooting

Analytical thinking

Communication

Education

Bachelor’s degree in Computer Science, Computer Engineering, Data Engineering, or related field

Tools

Apache Spark

Job description

Blueprint is a technology solutions firm headquartered in Bellevue, Washington, with teams across the United States. We help organizations turn complex challenges into meaningful outcomes by connecting strategy and execution across AI, cloud, data, product development, and emerging technology.

Our culture is built by people who care deeply about doing exceptional work. We set high standards, take ownership, and continually challenge ourselves and one another to be better. We work hard, support each other, and take genuine pride in what we deliver for our clients, partners, and teams.

At Blueprint, you’ll work alongside talented people with different experiences, expertise, and perspectives. You’ll have opportunities to take on meaningful challenges, expand your skills, and see the impact of what you build.

Bring your perspective. Raise the standard. Build what matters.

In This Role

You will design, develop, and maintain data-intensive systems that support complex data migration, data engineering, and data architecture initiatives. You will focus on building reliable data solutions, improving data quality, and ensuring the accuracy and consistency of data across systems. Using Python, SQL, and Apache Spark, you will develop data processing workflows, perform data validation and reconciliation, troubleshoot technical issues, and support the delivery of high-quality data products. Your work will contribute to efforts addressing cybercrime and supporting lawful access requests through secure, reliable, and well‑engineered data systems.

Responsibilities

• Design, develop, and maintain scalable data engineering solutions to support data migration, processing, and integration initiatives.
• Build and optimize data pipelines and processing workflows using Python, SQL, and Apache Spark.
• Perform data quality assessments, validation, reconciliation, and comparisons to ensure data accuracy, completeness, consistency, and integrity.
• Analyze business and system requirements and translate them into technical specifications and reliable data solutions.
• Develop, test, and maintain data transformation logic and software components to support new and existing systems.
• Troubleshoot complex data processing issues, investigate discrepancies, identify root causes, and implement corrective actions.
• Prepare technical documentation, test plans, and validation procedures for data migration and engineering projects.
• Conduct unit testing, integration testing, and quality assurance reviews to verify the accuracy and reliability of developed solutions.
• Support data migration activities, including data mapping, transformation, validation, and post‑migration verification.
• Collaborate with engineering and cross‑functional stakeholders to resolve technical challenges and deliver solutions within established timelines.
• Optimize data processing performance, maintainability, and reliability across large‑scale data systems.

Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, Data Engineering, or a related technical field.
• 5–7 years of relevant experience in software engineering, data engineering, or data‑intensive systems development.
• Strong programming proficiency in Python and SQL.
• Hands‑on experience with Apache Spark for large‑scale data processing and transformation.
• Experience performing data quality checks, data comparisons, reconciliation, and validation across systems or datasets.
• Strong foundation in computer science fundamentals, including data structures, algorithms, software design, and problem‑solving.
• Experience designing, developing, testing, and maintaining complex software or data processing systems.
• Demonstrated ability to troubleshoot production issues, diagnose data discrepancies, and implement effective resolutions.
• Experience with unit testing, test data preparation, and quality assurance for new and existing systems.
• Ability to analyze technical requirements, document specifications, and deliver high‑quality solutions within defined timelines.
• Strong analytical, communication, and collaboration skills.

Preferred Qualifications

• Experience supporting end‑to‑end data migration projects, including source‑to‑target mapping, transformation, reconciliation, and validation.
• Knowledge of data architecture principles, data modeling, and the design of reliable data‑intensive systems.
• Experience building, maintaining, and optimizing scalable data pipelines and distributed processing workflows.
• Familiarity with data governance, data integrity controls, and repeatable data quality frameworks.
• Experience working with large or complex datasets across multiple systems and data sources.
• Knowledge of secure data handling practices and systems supporting cybersecurity, digital investigations, or lawful data access processes.
• Experience supporting legacy system modernization, system enhancements, and production deployments.
• Ability to identify opportunities to improve data processing efficiency, system reliability, and data quality through automation.

Salary Range

At Blueprint, we strive to offer competitive pay that reflects the value of our team members. Compensation for this role is influenced by a variety of factors, including skills, education, responsibilities, experience, and geographic market.

For candidates based in Washington State, the anticipated salary range is $110,000-$122,000 USD annually. Please note that we typically do not hire new employees at the top of the posted range. Actual starting pay will be determined based on experience, skills, and internal equity. The final salary and job title may vary depending on the selected candidate’s qualifications and could fall outside the stated range.

Location

Remote, must be local to Redmond, WA

Benefits

• Medical, dental, and vision coverage
• Flexible Spending Account (FSA)
• Competitive paid time off
• Parental leave
• Professional growth and development opportunities

Benefits and eligibility may vary based on role, employment status, and location.

Equal Opportunity

Blueprint Technologies, LLC is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, pregnancy, childbirth or related medical conditions, sexual orientation, gender identity or expression, national origin, ancestry, age, disability, genetic information, marital or familial status, military or veteran status, citizenship status, or any other characteristic protected by applicable law.

If you need a reasonable accommodation to participate in any part of the application or interview process, please contact [e-mail].

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As set forth in Blueprint Technologies’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

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We are a federal contractor or subcontractor. The law requires us to provide equal employment opportunity to qualified people with disabilities. We have a goal of having at least 7% of our workers as people with disabilities. The law says we must measure our progress towards this goal. To do this, we must ask applicants and employees if they have a disability or have ever had one. People can become disabled, so we need to ask this question at least every five years.

Completing this form is voluntary, and we hope that you will choose to do so. Your answer is confidential. No one who makes hiring decisions will see it. Your decision to complete the form and your answer will not harm you in any way. If you want to learn more about the law or this form, visit the U.S. Department of Labor’s Office of Federal Contract Compliance Programs (OFCCP) website at www.dol.gov/ofccp.

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We may use AI‑assisted tools to support parts of the recruiting process, including identifying and evaluating candidates based on job‑related qualifications and experience. Human recruiters and hiring managers remain actively involved in all hiring decisions. If you require a reasonable accommodation during the hiring process, please contact [e-mail].