<h1>About Re:Build Manufacturing</h1>Re:Build Manufacturing is a growing family of industrial and engineering businesses combining enabling technologies, operational superiority, and strategic M&amp;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.<h2>Who we are looking for</h2>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.<h1>PLEASE NOTE THE REQUIREMENTS BELOW</h1><ul><li>Work Week: Remote - anywhere across the USA.</li><li>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.</li><li>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. </li></ul><h2>Re:Build’s Compensation Philosophy</h2><ul><li>Competitive Base Pay</li><li>All Re:Build Employees are eligible for performance-based bonus</li><li>All Re:Build Employees receive Re:Build incentive stock awards, annual</li><li>Competitive, Comprehensive Benefits Plan.</li></ul><h2>Opportunity</h2><ul><li>Exciting opportunity to work in a multi-site high-tech manufacturing conglomerate.</li><li>Impactful role, and one in which you will enjoy considerable autonomy and variety.</li><li>Investor-backed business to support growth.</li><li>Financial rewards.</li><li>Enormous learning experience and the opportunity to acquire additional responsibilities over time.</li></ul><h2>What you get to do</h2><h2>Data Design &amp; Integration</h2><ul><li>Co-design data interfaces and pipelines in close collaboration with software engineers and technical leads, ensuring alignment with application domain models and product roadmaps.</li><li>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.</li></ul><h2>Data Modeling &amp; Enablement</h2><ul><li>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.</li><li>Publish certified datasets and policy-aware retrieval assets (tables, document embeddings, vector indexes) to enable analytics, AI, and retrieval-augmented generation (RAG) use cases.</li></ul><h2>Data Governance &amp; Quality</h2><ul><li>Establish robust data observability and quality checks to ensure reliability and consistency.</li><li>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.</li></ul><h2>Operations &amp; Continuous Improvement</h2><ul><li>Operate the platform reliably by orchestrating jobs, monitoring pipelines, and continuously tuning cost and performance.</li><li>Work in accordance with The Re:Build Way, demonstrating collaboration, continuous improvement, and technical excellence in every aspect of data engineering.</li></ul>What you bring to the Team<ul><li>5 - 8+ years of proven experience building production-grade data systems with a strong understanding of cloud-based data lake architectures and data warehouses.</li><li>Demonstrated expertise in designing and operating data pipelines (batch, streaming, CDC), including schema evolution, backfills, and performance tuning.</li><li>Hands-on proficiency with Python and SQL, including experience with distributed processing frameworks (e.g., Apache Spark) and CI/CD for data workflows.</li><li>Proven ability to design and implement ETL/ELT workflows and data modeling techniques (e.g., star schemas, wide tables, semantic models).</li><li>Proficiency with cloud data platforms and services such as AWS, Databricks, and Snowflake, with a focus on scalability and reliability.</li><li>Familiarity with open table formats (e.g., Iceberg, Delta, Hudi) and business intelligence data modeling.</li><li>Understanding of data governance, lineage, and data quality frameworks to ensure reliability, accuracy, and compliance.</li><li>Experience or strong interest in enabling AI/ML use cases (e.g., RAG/search datasets, embeddings, vector indexes).</li><li>Bachelor’s degree (BA/BS) in Computer Science, Data Science, Mathematics, Analytics, or a related quantitative field (or equivalent experience).</li><li>Fluency in written and spoken English.</li></ul><h2>Personal Attributes</h2><ul><li>Brings enthusiasm, curiosity, and a consistently positive attitude.</li><li>Leads by example — offering guidance, mentorship, and accountability on key technical decisions.</li><li>Skilled at analyzing complex technical challenges and delivering innovative, efficient solutions.</li><li>Flexible and adaptable to shifting priorities, requirements, and emerging technologies.</li><li>Communicates clearly and effectively, both in writing and verbally.</li><li>Exceptionally organized and thrives in a fast-paced, dynamic environment.</li><li>Strong analytical and problem-solving abilities with sharp attention to detail.</li><li>Collaborative team player who works effectively across departments and levels of the organization.</li><li>Must successfully complete a background check and provide reliable professional references.</li></ul>The BIG payoffWe 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 operateRe: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.

Re:Build Manufacturing is a family of industrial businesses combining cutting-edge enabling technologies, operational superiority and strategic M&amp;A to build America&rsquo;s next generation industrial company. Re:Build leverages a deep expertise in operations management and technology to supercharge performance of its subsidiaries by implementing core technologies across industrial platforms in diversified growth markets. Our goal is to help revitalize the U.S. manufacturing base over the coming decades, creating substantial opportunities for our employees and the communities where we operate.

Data Engineer

<h1>About Re:Build Manufacturing</h1>Re:Build Manufacturing is a growing family of industrial and engineering businesses combining enabling technologies, operational superiority, and strategic M&amp;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.<h2>Who we are looking for</h2>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.<h1>PLEASE NOTE THE REQUIREMENTS BELOW</h1><ul><li>Work Week: Remote - anywhere across the USA.</li><li>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.</li><li>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.&nbsp;</li></ul><h2>Re:Build’s Compensation Philosophy</h2><ul><li>Competitive Base Pay</li><li>All Re:Build Employees are eligible for performance-based bonus</li><li>All Re:Build Employees receive Re:Build incentive stock awards, annual</li><li>Competitive, Comprehensive Benefits Plan.</li></ul><h2>Opportunity</h2><ul><li>Exciting opportunity to work in a multi-site high-tech manufacturing conglomerate.</li><li>Impactful role, and one in which you will enjoy considerable autonomy and variety.</li><li>Investor-backed business to support growth.</li><li>Financial rewards.</li><li>Enormous learning experience and the opportunity to acquire additional responsibilities over time.</li></ul><h2>What you get to do</h2><h2>Data Design &amp; Integration</h2><ul><li>Co-design&nbsp;data interfaces and pipelines&nbsp;in close collaboration with software engineers and technical leads, ensuring alignment with application domain models and product roadmaps.</li><li>Build and operate&nbsp;batch, streaming, and change data capture (CDC)&nbsp;pipelines from diverse sources (ERP, CRM, Accounting, knowledge repositories, and other enterprise systems) into the data lake.</li></ul><h2>Data Modeling &amp; Enablement</h2><ul><li>Model curated data within the lake into&nbsp;data warehouse structures&nbsp;(e.g., star schemas, wide tables, semantic layers) optimized for&nbsp;business intelligence (BI),&nbsp;ad-hoc analytics, and&nbsp;key performance indicator (KPI)&nbsp;reporting.</li><li>Publish&nbsp;certified datasets&nbsp;and&nbsp;policy-aware retrieval assets&nbsp;(tables, document embeddings, vector indexes) to enable&nbsp;analytics,&nbsp;AI, and&nbsp;retrieval-augmented generation (RAG)&nbsp;use cases.</li></ul><h2>Data Governance &amp; Quality</h2><ul><li>Establish robust&nbsp;data observability&nbsp;and&nbsp;quality checks&nbsp;to ensure reliability and consistency.</li><li>Apply&nbsp;governance, security, and compliance controls&nbsp;across the data lake and warehouse — including&nbsp;role-based access,&nbsp;encryption,&nbsp;auditing, and&nbsp;data retention&nbsp;— in alignment with applicable regulations.</li></ul><h2>Operations &amp; Continuous Improvement</h2><ul><li>Operate the platform reliably by&nbsp;orchestrating jobs,&nbsp;monitoring pipelines, and&nbsp;continuously tuning cost and performance.</li><li>Work in accordance with&nbsp;The Re:Build Way, demonstrating collaboration, continuous improvement, and technical excellence in every aspect of data engineering.</li></ul>What you bring to the Team<ul><li>5 - 8+ years&nbsp;of proven experience building&nbsp;production-grade data systems&nbsp;with a strong understanding of&nbsp;cloud-based data lake architectures&nbsp;and&nbsp;data warehouses.</li><li>Demonstrated expertise in&nbsp;designing and operating data pipelines&nbsp;(batch, streaming, CDC), including&nbsp;schema evolution,&nbsp;backfills, and&nbsp;performance tuning.</li><li>Hands-on proficiency with&nbsp;Python&nbsp;and&nbsp;SQL, including experience with&nbsp;distributed processing frameworks&nbsp;(e.g.,&nbsp;Apache Spark) and&nbsp;CI/CD&nbsp;for data workflows.</li><li>Proven ability to design and implement&nbsp;ETL/ELT workflows&nbsp;and&nbsp;data modeling&nbsp;techniques (e.g., star schemas, wide tables, semantic models).</li><li>Proficiency with&nbsp;cloud data platforms and services&nbsp;such as&nbsp;AWS,&nbsp;Databricks, and&nbsp;Snowflake, with a focus on scalability and reliability.</li><li>Familiarity with&nbsp;open table formats&nbsp;(e.g.,&nbsp;Iceberg,&nbsp;Delta,&nbsp;Hudi) and&nbsp;business intelligence data modeling.</li><li>Understanding of&nbsp;data governance,&nbsp;lineage, and&nbsp;data quality frameworks&nbsp;to ensure reliability, accuracy, and compliance.</li><li>Experience or strong interest in enabling&nbsp;AI/ML use cases&nbsp;(e.g., RAG/search datasets, embeddings, vector indexes).</li><li>Bachelor’s degree (BA/BS) in&nbsp;Computer Science,&nbsp;Data Science,&nbsp;Mathematics,&nbsp;Analytics, or a related quantitative field (or equivalent experience).</li><li>Fluency in written and spoken English.</li></ul><h2>Personal Attributes</h2><ul><li>Brings enthusiasm, curiosity, and a consistently positive attitude.</li><li>Leads by example — offering guidance, mentorship, and accountability on key technical decisions.</li><li>Skilled at analyzing complex technical challenges and delivering innovative, efficient solutions.</li><li>Flexible and adaptable to shifting priorities, requirements, and emerging technologies.</li><li>Communicates clearly and effectively, both in writing and verbally.</li><li>Exceptionally organized and thrives in a fast-paced, dynamic environment.</li><li>Strong analytical and problem-solving abilities with sharp attention to detail.</li><li>Collaborative team player who works effectively across departments and levels of the organization.</li><li>Must successfully complete a background check and provide reliable professional references.</li></ul>The BIG payoffWe 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 operateRe: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.&nbsp;

Data Engineer

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