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Re:Build Manufacturing · 1 day ago

Data Engineer - Modern Data Platforms

Los Angeles, CA

Full-time

Hybrid

Senior Level

$135K/yr - $200K/yr

5+ years exp

Re:Build Manufacturing is a growing family of industrial and engineering businesses focused on revitalizing US manufacturing. The Data Engineer will utilize modern data technologies to operationalize and expand the enterprise Data Lake, implementing efficient ingestion strategies and ensuring data is structured for accessibility and analysis.

IndustrialIndustrial AutomationIndustrial ManufacturingMachinery ManufacturingManufacturing

Responsibilities

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 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

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

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

Qualification

Data Lake ArchitectureData Pipeline DesignETL/ELT WorkflowsCloud Data PlatformsPythonSQLData GovernanceData Quality FrameworksApache SparkBusiness Intelligence ModelingAI/ML Use CasesCommunication SkillsProblem-Solving Skills

Required

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

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

Benefits

Performance-based bonus

Re:Build incentive stock awards

Annual cash bonus

Long term incentive

Competitive, Comprehensive Benefits Plan.

Company

Re:Build Manufacturing

Re:Build Manufacturing is a family of industrial businesses combining cutting-edge enabling technologies, operational superiority and strategic M&A to build America’s next generation industrial company.

Founded in 2020

Framingham, Massachusetts, USA

1001-5000 employees