1349 Ai Python Data Engineering jobs in Chicago,IL

Littelfuse

Chicago, IL 60631

Bachelor's degree in Technical Writing, Engineering, Communications, or a related field, or equivalent professional experience
3+ years of technical writing experience in an engineering or manufacturing environment
Demonstrated experience writing documentation for products in at least one of the following domains (required):
Electrical power systems
Electrical safety products (e.g., protective relays, monitoring devices)
Electronics systems
Proven ability to work cross-functionally with engineers and product managers to gather and clarify technical information
Strong command of technical writing fundamentals: clarity, structure, audience awareness, and consistency
Self-motivated, with a track record of proactively identifying and implementing process or tooling improvements to increase documentation productivity
Proficiency with standard documentation and publishing tools (e.g., Microsoft Office/365, Adobe FrameMaker or similar, PDF authoring tools)

Covista

Lisle, IL 60532

Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field.
Ten (10) plus years experience in enterprise data engineering, data platforms, or data architecture roles.
Five (5) plus years experience leading data engineering or data platform teams.
Deep experience with cloud data platforms (e.g., Google BigQuery, GCS), data catalog/governance tooling (e.g., Dataplex, Atlan), and integration/ELT tooling (e.g., Fivetran).
Proven track record in resource and capacity planning, technical delivery, and operational excellence.
Experience implementing platform governance, technical debt remediation, and upgrade strategies.
Strong stakeholder management skills with ability to work across business and technology domains.
Demonstrated leadership abilities.
Strong project management, process, technical and financial management knowledge.
Excellent written and oral communication skills.
Highly organized and able to manage multiple projects and multiple employees simultaneously.