Remote Data Engineer - Time Series, LangChain & ML Ops

Power Systems Group; Joliet (IL); Remote; USD 81,000 - 123,000; Full time

Job summary

Power Systems Group in Joliet, IL is hiring a Data Engineer who treats latency budgets like personal grudges and Persuasion like a second language. This remote role offers a salary range of $81,000 to $123,000 and focuses on LangChain, Hugging Face, and Time Series Analysis to support Joliet-based infrastructure.

You’ll profile Hadoop memory usage, address dependencies, and own scalable streaming pipelines, with mentorship and room for growth in a Joliet-rooted culture that values clear

Qualifications

• 3 years that taught you which corners can be cut.
• Problem Solving fundamentals plus the Hugging Face polish clients notice.
• Real proficiency with Time Series Analysis, plus willingness to learn LangChain fast.
• A communicator who writes the meeting recap nobody asked for but everyone reads.
• 5+ years building trust the slow, unglamorous way.
• At least 4 years building expertise within the technology space.

Responsibilities

• Profile Hadoop memory use and chase down the leaks crashing Joliet nodes
• Untangle the Hugging Face dependency knots that have slowed Joliet releases for months
• Own the mid-level LangChain workstream that unblocks the Joliet IL roadmap
• Own the LightGBM release that Joliet leadership has circled on the calendar
• Ship Time Series Analysis fixes to Power Systems Group customers in Joliet, IL the same day they report them
• Re-architect the technology flow so SageMaker handles ten times Joliet's current load

Skills

Time Series Analysis

LangChain

Hugging Face

Problem Solving

Communication

Tools

Hadoop

SageMaker

LightGBM

Job description

Power Systems Group in Joliet, IL is hiring a Data Engineer who treats latency budgets like personal grudges and Persuasion like a second language. This remote role offers a salary range of $81,000 to $123,000 and focuses on LangChain, Hugging Face, and Time Series Analysis to support Joliet-based infrastructure.

You’ll profile Hadoop memory usage, address dependencies, and own scalable streaming pipelines, with mentorship and room for growth in a Joliet-rooted culture that values clear