Sr. Data Engineer

At Re:Build, our mission is to ensure the next generation of important products are made, at scale, in America. We are laying the foundation for a better future for our customers, employees, and communities by revitalizing America's manufacturing base and creating meaningful jobs across the country, including in historically deindustrialized regions. 

We operate an advanced, end-to-end manufacturing platform that partners with industrial companies and innovators to take products from first concept to full-scale production in critical verticals including aerospace and defense, electrification, medical, energy and environment, and robotics and automation. 

The way we operate is as important as the work we do. It's guided by The Re:Build Way, 16 principles that shape how we collaborate with each other, partner with our customers and vendors, and contribute to the communities where we operate. (link to The Re:Build Way principles) 

The Sr. Data Engineer will focus on applying modern data technologies to operationalize and expand the enterprise Data Lake. This role centers on implementing efficient ingestion strategies, integrating diverse data sources, and ensuring data is structured for accessibility and analysis. The engineer will work across hybrid environments—on-prem and cloud—to automate data movement, validate data quality, and enable analytical teams to derive insights from trusted, well-organized datasets. This position requires hands-on technical depth in data ingestion and transformation, along with the analytical understanding needed to align data availability with business and reporting needs.

What you get to do

• Co-design data interfaces and pipelines in close collaboration with software engineers and technical leads, ensuring alignment with application domain models and product roadmaps.
• Build and operate batch, streaming, and change data capture (CDC) pipelines from diverse sources (ERP, CRM, Accounting, knowledge repositories, and other enterprise systems) into the data lake.

• Model curated data within the lake into data warehouse structures (e.g., star schemas, wide tables, semantic layers) optimized for business intelligence (BI), ad-hoc analytics, and benchmark reporting.
• Publish certified datasets and policy-aware retrieval assets (tables, document embeddings, vector indexes) to enable analytics, AI, and retrieval-augmented generation (RAG) use cases.

• Establish robust data observability and quality checks to ensure reliability and consistency.
• Apply governance, security, and compliance controls across the data lake and warehouse — including role-based access, encryption, auditing, and data retention — following applicable laws.

• Operate the platform reliably by orchestrating jobs, monitoring pipelines, and continuously tuning cost and performance.
• Work in accordance with The Re:Build Way, demonstrating collaboration, continuous improvement, and technical excellence in every aspect of data engineering.

What you bring to the Team

• 5 - 8+ years of proven experience building production-grade data systems with a strong understanding of cloud-based data lake architectures and data warehouses. 

• Demonstrated expertise in designing and operating data pipelines (batch, streaming, CDC), including schema evolution, backfills, and performance tuning. 

• Hands-on proficiency with Python and SQL, including experience with distributed processing frameworks (e.g., Apache Spark) and CI/CD for data workflows. 

• Proven ability to design and implement ETL/ELT workflows and data modeling techniques (e.g., star schemas, wide tables, semantic models). 

• Proficiency with cloud data platforms and services such as AWS, Databricks, and Snowflake, with a focus on scalability and reliability. 

• Familiarity with open table formats (e.g., Iceberg, Delta, Hudi) and business intelligence data modeling. 

• Understanding of data governance, lineage, and data quality frameworks to ensure reliability, accuracy, and compliance. 

• Experience or strong interest in enabling AI/ML use cases (e.g., RAG/search datasets, embeddings, vector indexes). 

• Bachelor’s degree (BA/BS) in Computer Science, Data Science, Mathematics, Analytics, or a related quantitative field (or equivalent experience). 

• Fluency in written and spoken English. 

• Willingness to travel.  

•  We are seeking candidates who currently reside in the Seattle, WA or Los Angeles, CA metropolitan areas.
•  Remote role but quarterly travel to our downtown Los Angeles office is required.

The base salary range for this position is $143,000 – $180,000 per year. This range represents the Company’s good faith estimate of the base compensation for this role at the time of posting. Actual compensation will be determined based on several factors, including but not limited to relevant experience, skills, qualifications, internal equity, and geographic location. In addition to base salary, this role may be eligible for annual incentive compensation and/or long-term incentives, subject to Company plans. The Company offers a comprehensive benefits package including medical, dental, vision, retirement, paid time off, and other benefits.

The BIG payoff

We are a company who is going to make a difference in the industries and the communities in which we choose to operate.  Every employee of Re:Build will share ownership in the company and will share in the financial rewards of the success we achieve together, at all levels of the company!

We want to work with people that reflect the communities in which we operate

Re:Build Manufacturing is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, marital status, parental status, cultural background, organizational level, work styles, tenure and life experiences. Or for any other reason.

Re:Build is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at [email protected] or you may call us at 617.909.6275.