Re:Build Manufacturing
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.
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.