Flex is the diversified manufacturing partner of choice that helps market-leading brands design, build and deliver innovative products that improve the world.

A career at Flex offers the opportunity to make a difference and invest in your growth in a respectful, inclusive, and collaborative environment. If you are excited about a role but don't meet every bullet point, we encourage you to apply and join us to create the extraordinary.

Job Description

Design, build, and maintain scalable data infrastructure and pipelines that support analytics, AI, and operational decision-making. This role bridges raw data sources -especially from Operational Technology (OT) - with business intelligence platforms, enabling real-time insights and digital transformation across manufacturing and enterprise systems. Ensures the availability, reliability, and scalability of enterprise data systems to support data-driven decision-making and operational efficiency.

What a typical day looks like:

Collaborate with cross-functional teams to identify valuable data sources and translate business needs into technical solutions.
Develop and maintain hybrid and cloud-based ETL and streaming data pipelines.
Integrate OT data with enterprise systems using tools like the ELK Stack (Elasticsearch, Kibana, Logstash).
Ensure data quality, lineage, and governance across platforms.
Support real-time analytics, telemetry ingestion, and data lake architecture.
Implement data observability and monitoring tools to ensure pipeline health and performance.
Maintain documentation and enforce data engineering standards and best practices.

The experience we're looking to add to our team:

Bachelor's degree in Computer Science, Engineering, or a related field.
4+ years of experience in data engineering or cloud architecture roles.
Proficiency in Python, SQL, and cloud services (Azure, AWS, or GCP).
Experience with CI/CD, containerization, and infrastructure-as-code.
Strong understanding of data quality principles and governance.
ETL tools: Azure Data Factory, AWS Glue, GCP Dataflow, etc.
Visualization: Power BI, Tableau, Kibana.
Data storage: Snowflake, Data Lakes, Elasticsearch.
Data modeling and schema design.
Familiarity with time-series databases and telemetry data.
Exposure to manufacturing or industrial environments.
Knowledge of data security & compliance.
Experience with MLOps or integrating ML models into pipelines.
Strong communication, problem-solving, and stakeholder engagement skills.

What you'll receive for the great work you provide:

Health Insurance
Paid Time Off

BB04

Job Category

IT

Flex pays for all costs associated with the application, interview or offer process, a candidate will not be asked for any payment related to these costs.

Flex does not accept unsolicited resumes from headhunters, recruitment agencies or fee based recruitment services. Flex is an Equal Opportunity Employer and employment selection decisions are based on merit, qualifications, and abilities. Flex does not discriminate in employment opportunities or practices based on: age, race, religion, color, sex, national origin, marital status, sexual orientation, gender identity, veteran status, disability, pregnancy status or any other status protected by law. Flex provides reasonable accommodation so that qualified applicants with a disability may participate in the selection process. Please advise us of any accommodations you request to express interest in a position by e-mailing: . Please state your request for assistance in your message. Only reasonable accommodation requests related to applying for a specific position within Flex will be reviewed at the e-mail address. Flex will contact you if it is determined that your background is a match to the required skills required for this position. Thank you for considering a career with Flex.

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