Data Engineer

OSTechnical

Irvine, CA

JOB DETAILS
SALARY
$140,000–$160,000 Per Year
SKILLS
Agile Programming Methodologies, Analysis Skills, Application Integration, Best Practices, Business Intelligence, Business Intelligence Software, Business Solutions, Cloud Computing, Communication Skills, Computer Science, Data Management, Data Modeling, Data Processing, Data Quality, Data Science, Data Sets, Data Storage, Data Warehousing, Database Extract Transform and Load (ETL), Detail Oriented, Dimensional Modeling, Documentation, ERP (Enterprise Resource Planning), Git, Identify Issues, Information/Data Security (InfoSec), Machine Tool, Manufacturing, Manufacturing Systems, Master Data Management (MDM), Microsoft SQL Server, Microsoft Windows Azure, Operational Strategy, Performance Tuning/Optimization, Power BI, Presentation/Verbal Skills, Problem Solving Skills, Production Systems, Programming Languages, Project Management Software, Project Tracking, Python Programming/Scripting Language, Quality Assurance Methodology, Query Optimization, Relational Databases (RDBMS), Requirements Management, SQL (Structured Query Language), Scalable System Development, Scrum Project Management and Software Development, Software Development Lifecycle (SDLC), Software Engineering, Source Code/Configuration Management (SCM), Team Player, Writing Skills
LOCATION
Irvine, CA
POSTED
14 days ago
Data Engineer
Annual Salary: $140k – $160k
Work Schedule: Hybrid 2 days remote/3 days onsite
Work Location: Irvine, CA

Position Summary:
The Data Engineer is responsible for designing, building, and maintaining data pipelines, data models, and data infrastructure that support analytics, reporting, and operational systems. This role enables the organization to efficiently collect, transform, and deliver high-quality data from ERP systems, manufacturing systems, and other business applications.

Working in a fast-paced, data-driven environment, the Data Engineer collaborates with business intelligence, software engineering, and business teams to ensure data is accurate, accessible, and optimized for decision-making and operational efficiency.

Responsibilities:
  • Design, develop, and maintain scalable data pipelines to extract, transform, and load (ETL/ELT) data from multiple sources
  • Build and optimize data models to support analytics, reporting, and downstream applications
  • Integrate data from ERP, MES, and other enterprise systems into centralized data platforms
  • Ensure data quality, integrity, and consistency across data pipelines and storage systems
  • Monitor and troubleshoot data workflows, resolving performance and reliability issues
  • Optimize query performance and data processing efficiency
  • Collaborate with BI engineers and analysts to support reporting and analytics requirements
  • Develop and maintain data documentation, including data definitions, lineage, and transformations
  • Implement and enforce data governance, security, and best practices
  • Support deployment and maintenance of data solutions in production environments
  • Work with software engineering teams to support data integration and application data needs
  • Automate data workflows and reduce manual data handling processes
  • Update and track work items using Atlassian or similar project management tools
  • Continuously evaluate and implement improvements to data architecture and tooling.
  • Experience
  • 3–6 years of experience in data engineering, software engineering, or related field
  • Strong proficiency in SQL and experience with relational databases such as SQL Server
  • Experience building ETL/ELT pipelines and data workflows
  • Proficiency in programming languages such as Python or similar
  • Understanding of data modeling concepts (dimensional modeling, normalization)
  • Experience working with large datasets and optimizing performance
  • Familiarity with data warehousing concepts and architectures
  • Experience with version control systems such as Git
  • Understanding of software development lifecycle (SDLC) and testing practices
  • Strong analytical and problem-solving skills
  • Strong attention to detail and data accuracy
  • Ability to work with both technical and non-technical stakeholders
  • Strong verbal and written communication skills
Requirements:
  • Bachelor's degree in computer science, engineering, data science, or related field (or equivalent experience)
  • Experience with ERP or manufacturing data environments preferred
  • Familiarity with cloud-based data platforms or modern data stacks
  • Azure a plus
  • Experience with BI tools such as Power BI or similar
  • Exposure to data governance and master data management concepts
  • Experience working in Agile/Scrum environments

About the Company

O

OSTechnical