Data Engineer

Job Description

A Fortune 100 automotive client is seeking a remote Data Engineer to design, build, and enable scalable AI and machine learning solutions within a data-driven platform supporting manufacturing and operational analytics use cases. This role is responsible for cloud platforms, and distributed data processing, while also possessing the communication skills to bridge the gap between diverse application teams. This role will play a key part in supporting centralized enterprise data hubs and foundational AI proof-of-concept initiatives within a manufacturing setting.

• Design, build, and maintain scalable data pipelines for ingesting and processing data from enterprise systems, local databases, and operational platforms

• Develop and optimize ETL / ELT workflows for large-scale data processing

• Act as a technical bridge between various application teams to ensure seamless

data integration and alignment on AI data requirements

• Support both batch and real-time data systems across manufacturing environments

• Integrate data from operational systems and Industrial IoT platforms into centralized enterprise data hubs

• Ensure data quality, integrity, observability, and performance optimization

• Collaborate with software engineers, AI engineers, and business stakeholders to define data requirements

• Support data modelling and data architecture for analytics, reporting, and AI consumption

• Enable data availability for business intelligence and downstream AI applications

• Support proof-of-concept execution for foundational AI initiatives within a manufacturing environment

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to View email address on click.appcast.io learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:

Skills and Requirements

• 5+ years in Python and SQL

• Experience in the manufacturing industry (automotive preferred)

• Experience pulling PLC data, bit data, and transactional data

• Experience with building data pipelines and ETL/ELT processes (Only maintaining pipeline will not cut it)

• Strong understanding of data modelling and data warehousing concepts

• Experience with cloud platforms (AWS preferred)

• Experience working with large-scale or distributed data systems - Automotive, manufacturing, or industrial industry background

• Experience with big data and streaming technologies (Spark, Kafka, NiFi)

• Exposure to real-time or event-driven data systems

• Familiarity with orchestration tools (Airflow or similar)

• Exposure to AI/ML data pipelines or supporting machine learning workflows

• Experience with Databricks, Snowflake, or Redshift