Data Engineer

OSTechnical

Irvine, CA

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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

Data Engineer

OSTechnical

Irvine, CA

About the Company

OSTechnical

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