Data Engineer - Modern Data Platforms

Position Overview

Re:Build Manufacturing is a growing family of industrial and engineering businesses that leverages deep expertise in engineering, operations management, and technology to supercharge performance and build America’s next-generation industrial company. As part of our organization, the Data Engineer will focus on utilizing modern data technologies to operationalize and expand our enterprise Data Lake. This role involves designing efficient data ingestion strategies, integrating diverse data sources, and ensuring that data is structured for easy accessibility and analysis across hybrid environments.

Key Responsibilities

• Co-design data interfaces and pipelines in collaboration with software engineers and technical leads to align with product roadmaps.
• Build and operate batch, streaming, and change data capture (CDC) pipelines from diverse sources into the enterprise Data Lake.
• Model and publish curated datasets optimized for business intelligence, ad-hoc analytics, and KPI reporting.
• Implement robust data observability, quality checks, and enforce governance, security, and compliance controls.
• Orchestrate and monitor data workflows and continuously tune platform performance and cost efficiency.

Required Qualifications

• 5 - 8+ years of experience building production-grade data systems with strong cloud-based data lake and data warehouse expertise.
• Proven expertise in designing and operating data pipelines (batch, streaming, CDC) with experience in schema evolution, backfills, and performance tuning.
• Hands-on proficiency with Python, SQL, and frameworks like Apache Spark; familiarity with CI/CD for data workflows.
• Experience with cloud data platforms and services such as AWS, Databricks, and Snowflake.
• Bachelor’s degree in Computer Science, Data Science, Mathematics, Analytics or a related field (or equivalent experience).
• Must currently reside in the Seattle, WA or Los Angeles, CA metropolitan areas and be willing to travel quarterly to our downtown Los Angeles office.

Preferred Qualifications

• Experience or strong interest in enabling AI/ML use cases such as retrieval-augmented generation (RAG) and working with embeddings or vector indexes.
• Familiarity with open table formats (e.g., Iceberg, Delta, Hudi) and advanced business intelligence data modeling techniques.
• Demonstrated background in establishing data governance, lineage, and data quality frameworks.

Benefits & Perks

• Competitive Base Pay with a base salary range of $135K - $200K, depending on candidate qualifications.
• Annual cash bonus along with Performance-Based Bonus opportunities.
• Employee participation in Incentive Stock Awards and long-term incentives.
• Comprehensive Benefits Plan and a chance to work in a dynamic, multi-site high-tech manufacturing environment with significant career growth opportunities.