Senior Data Engineer

Who is Blueprint?

We are a technology solutions firm headquartered in Bellevue, Washington, with a strong presence across the United States. Unified by a shared passion for solving complicated problems, our people are our greatest asset. We use technology as a tool to bridge the gap between strategy and execution, powered by the knowledge, skills, and the expertise of our teams, who all have unique perspectives and years of experience across multiple industries. We’re bold, smart, agile, and fun.

What does Blueprint do?

Blueprint helps organizations unlock value from existing assets by leveraging cutting-edge technology to create additional revenue streams and new lines of business. We connect strategy, business solutions, products, and services to transform and grow companies.

Why Blueprint?

At Blueprint, we believe in the power of possibility and are passionate about bringing it to life. Whether you join our bustling product division, our multifaceted services team or you want to grow your career in human resources, your ability to make an impact is amplified when you join one of our teams. You’ll focus on solving unique business problems while gaining hands-on experience with the world’s best technology. We believe in unique perspectives and build teams of people with diverse skillsets and backgrounds. At Blueprint, you’ll have the opportunity to work with multiple clients and teams, such as data science and product development, all while learning, growing, and developing new solutions. We guarantee you won’t find a better place to work and thrive than at Blueprint.

We are looking for a Sr. Data Engineer to join us as we build cutting-edge technology solutions!  This is your opportunity to be part of a team that is committed to delivering best in class service to our customers.

In this role, you will be responsible for designing, developing, and maintaining robust, scalable data infrastructure solutions while ensuring efficient and reliable data flow across systems. You must have a strong background in data engineering, including experience with Databricks, Unity Catalog migration, and either Azure or AWS, and thrive in a collaborative and innovative environment.

Responsibilities:

• Architect, implement, and maintain scalable data architectures to meet client data processing and analytics needs.
• Collaborate with cross-functional teams to understand data requirements and translate them into effective data pipeline solutions.
• Develop, optimize, and maintain ETL processes to ensure the timely and accurate movement of data across systems.
• Implement best practices for data pipeline orchestration and automation using tools like Azure Data Factory or Apache Airflow.
• Leverage cloud platforms (Azure and/or AWS) to build and optimize data solutions, including services like Azure Synapse Analytics, Azure Blob Storage, AWS Redshift, S3, or Glue.
• Utilize Databricks for big data processing, analytics, and machine learning workflows.
• Lead Unity Catalog migration efforts, ensuring seamless transition and optimal data organization for governance and access control.
• Establish and enforce data governance policies and procedures, ensuring data quality, integrity, and accuracy.
• Optimize data processing and query performance for large-scale datasets within Databricks and cloud environments.
• Document data engineering processes, architecture, and configurations for future scalability.
• Collaborate with data scientists, analysts, and other stakeholders to provide the necessary infrastructure for their needs.

Qualifications:

• Bachelor's or Master’s degree in Computer Science, Information Technology, or a related field.
• Minimum of 5 years of experience in data engineering roles.
• Proven expertise in Databricks, including Unity Catalog migration for data governance and organization.
• Proficiency in Azure (e.g., Azure Blob Storage, Azure Synapse Analytics, Azure Functions) and/or AWS (e.g., S3, Redshift, Glue, EMR, Lambda).
• Strong programming skills in languages such as Python, Scala, or Java.
• Experience with data modeling, schema design, and database optimization.
• Proficiency in using orchestration tools like Azure Data Factory or Apache Airflow.
• Familiarity with version control systems and collaboration tools.
• Strong troubleshooting skills and the ability to implement effective solutions for complex data issues.
• Strong communication and interpersonal skills, with the ability to work collaboratively in a team-oriented environment.
• Proactive in staying updated with industry trends and emerging technologies in data engineering.

Compensation Information:

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 $146,400 to 175,100 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.

Equal Opportunity Employer

Blueprint Technologies, LLC is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, age, disability, sex, gender identity or expression, orientation, veteran/military status, religion, national origin, ancestry, marital, or familial status, genetic information, citizenship, or any other status protected by law.

If you need assistance or a reasonable accommodation to complete the application process, please reach out to: [email protected]

Blueprint believe in the importance of a healthy and happy team, which is why our comprehensive benefits package includes:

• Medical, dental, and vision coverage
• Flexible Spending Account
• 401k program
• Competitive PTO offerings
• Parental Leave
• Opportunities for professional growth and development

Location: Remote