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Data Engineer
Data EngineerRe:build Manufacturing • Framingham, Massachusetts, United States
Data Engineer

Data Engineer

Re : build Manufacturing • Framingham, Massachusetts, United States
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About Re : Build Manufacturing

Re : Build Manufacturing is a growing family of industrial and engineering businesses combining enabling technologies, operational superiority, and strategic M&A to build America’s next generation industrial company. At Re : Build we deploy deep expertise in engineering, operations management, and technology to supercharge the performance of our member companies. We leverage deep professional expertise and a candid, principled operating culture to drive differentiated outcomes. Ours is a fast-paced environment where individuals can stretch and be challenged to pursue their fullest potential.

Re : Build was founded to pioneer a profitable model for the revitalization of US manufacturing. We’ve assembled a powerful set of complimentary capabilities and lines of business that enable us to pursue a wide range of end markets. Our acquired businesses are grounded in build-to-print and by-the-hour engineering and design services, and we’re leveraging their combined expertise to migrate to increasingly sophisticated program development and production, as well as the generation of our own products. Our unique set of capabilities lend themselves to highly complex systems and products, and we offer customers a range of services including product and systems design, automation, fabrication, assembly, and large volume contract manufacturing. Our customers span a wide array of industries including aerospace, defense, mobility, healthcare, pharma, biotech, clean tech, chemicals, energy, lifestyle, food production, and industrial equipment.

Who we are looking for

The Data Engineer will focus on utilizing 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.

PLEASE NOTE THE REQUIREMENTS BELOW

  • Work Week : Remote - anywhere across the USA.
  • Hours : Due to working remote and the team being based in Los Angeles, CA we require this hire to work either MST hours or PST hours.
  • Travel Required : There is quarterly travel required for meetings that are held onsite in Los Angeles, CA and occasionally travel to a company location as needed.

Re : Build’s Compensation Philosophy

  • Competitive Base Pay
  • All Re : Build Employees are eligible for performance-based bonus
  • All Re : Build Employees receive Re : Build incentive stock awards, annual
  • Competitive, Comprehensive Benefits Plan.
  • Opportunity

  • Exciting opportunity to work in a multi-site high-tech manufacturing conglomerate.
  • Impactful role, and one in which you will enjoy considerable autonomy and variety.
  • Investor-backed business to support growth.
  • Financial rewards.
  • Enormous learning experience and the opportunity to acquire additional responsibilities over time.
  • What you get to do

    Data Design & Integration

  • 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.
  • Data Modeling & Enablement

  • 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  key performance indicator (KPI)  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.
  • Data Governance & Quality

  • 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  — in alignment with applicable regulations.
  • Operations & Continuous Improvement

  • 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

  • 3+ 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 .
  • Personal Attributes

  • Brings enthusiasm, curiosity, and a consistently positive attitude.
  • Leads by example — offering guidance, mentorship, and accountability on key technical decisions.
  • Skilled at analyzing complex technical challenges and delivering innovative, efficient solutions.
  • Flexible and adaptable to shifting priorities, requirements, and emerging technologies.
  • Communicates clearly and effectively, both in writing and verbally.
  • Exceptionally organized and thrives in a fast-paced, dynamic environment.
  • Strong analytical and problem-solving abilities with sharp attention to detail.
  • Collaborative team player who works effectively across departments and levels of the organization.
  • Must successfully complete a background check and provide reliable professional references.
  • 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 accommodations.ta@ReBuildmanufacturing.com or you may call us at 617.909.6275.

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