Data Engineer

Job Title: Data Engineer Job Description This role focuses on building the foundational data infrastructure for an AI-driven optical metrology platform. You will design and implement a lightweight Manufacturing Execution System (MES) that connects optical measurement instruments, manufacturing build data, and AI analysis workflows into a unified, queryable system. This greenfield opportunity allows you to own the MES schema design, S3-based data lake architecture, ingestion pipelines, and web dashboard infrastructure that will serve as the single source of truth for optical quality across a broad device portfolio, enabling automated reporting, tester validation, and specification optimization. Responsibilities • Design and implement the optical metrology MES data model, including structures such as build matrix (program to configuration to component to sub-assembly to device), measurement records, tester registry, and metric definitions. • Architect and deploy an S3-based data lake with automated ingestion pipelines that transform optical tester outputs in CSV, text, and proprietary formats into structured, queryable storage. • Develop custom integration adapters, such as MCPs or export plugins, for optical tester software including tools like Radiant Vision Systems TrueTest, custom MATLAB or Python scripts, and pDOT. • Implement AI agent workflows for automated analysis, including GR&R validation, statistical process control (SPC) run charts, build summaries such as yield and Cpk, and specification correlation. • Design and deploy internal web dashboards using technologies such as React, Harmony, CloudFront with S3, or equivalent frameworks to provide self-service data access for internal stakeholders. • Establish robust data governance practices, including access controls, schema versioning, change traceability, and comprehensive metadata management. • Collaborate closely with optical metrology engineers to translate measurement workflows and domain requirements into scalable and reliable system architecture. • Use Python and SQL to build, maintain, and optimize data processing, transformation, and analysis pipelines that support reporting and AI workflows. • Apply Infrastructure as Code tools to provision, configure, and maintain cloud-based data infrastructure in a repeatable and auditable manner. • Communicate effectively with cross-functional engineering teams to align data architecture with hardware, quality, and manufacturing requirements. Essential Skills • Bachelor’s degree in Computer Science, Data Engineering, Software Engineering, or a related field. • 5+ years of experience designing and building data pipelines and developing web applications for data visualization dashboards using React or equivalent frameworks. • 3+ years of experience developing or implementing Manufacturing Execution Systems (MES), including data model design, traceability schemas, and integration with production equipment or test instruments, with 1–2 years of MES experience considered acceptable in some cases. • Proficiency with AWS services such as S3, Athena, Glue, Lambda, DynamoDB, or an equivalent cloud data stack. • Strong experience with Python and SQL for data processing, transformation, and analysis. • Familiarity with Infrastructure as Code tools such as AWS CDK, CloudFormation, or Terraform. • Strong communication skills with the ability to translate between engineering domain experts and software architecture requirements. • Hands-on experience in data engineering, including building and maintaining scalable data pipelines. • Experience developing data visualization dashboards that support self-service analytics for technical and non-technical users. Additional Skills & Qualifications • Master’s degree in Computer Science, Data Engineering, or a related field. • Familiarity with statistical process control (SPC), GR&R methodology, or metrology data analysis. • Background in display metrology or hardware quality systems. • Experience with Manufacturing Execution System (MES) concepts and tools beyond core requirements. • Familiarity with MCP (Model Context Protocol) or similar tool-integration frameworks for connecting AI agents to external systems. • Experience working with AI-driven analysis workflows in a manufacturing or test environment. • Exposure to optical measurement instruments and related data formats, including proprietary tester outputs. • Understanding of artificial intelligence concepts as applied to automated analysis, validation, and optimization in manufacturing contexts. Job Type & Location This is a Contract position based out of Sunnyvale, CA. Pay And Benefits The pay range for this position is $65.00 - $75.00/hr. Requirements Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available • Life Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term disability • Health Spending Account (HSA) • Transportation benefits • Employee Assistance Program • Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully onsite position in Sunnyvale,CA. Application Deadline This position is anticipated to close on Jun 19, 2026. About Actalent Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 30,000 consultants and more than 4,500 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to a disability, please email actalentaccommodation@actalentservices.com for other accommodation options. San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records. Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.