4 data engineer ii jobs at 3 companies in Ward, AR

PromotedHiringCafe
Founding Machine Learning / AI Search Engineer
Cupertino, CA, US
$160k-$310k/yr On-SiteFull Time
HiringCafe
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
Python, PyTorch, Elasticsearch, LLMs
6h
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Analytics Engineer II
Fort Smith or Fayetteville or Little Rock
OnsiteFull Time
Summit Utilities
Summit Utilities: Distributes natural gas to residential and commercial utility customers.
3+ YOE3+ years analytics engineering experience, proficiency with SQL and dbt, experience in cloud data platforms (Microsoft Fabric/Azure SQL), data governance knowledge, and ability to translate requirements into documented data products.
dbt, dbt_utils, dbt_expectations, Microsoft Fabric, Azure SQL, SQL, Git, Azure DevOps, GitHub, AWS, SAP, CSV, JSON, XML
2mo
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Market Design Engineer II or I
Little Rock, Arkansas, United States
$80k-$99k/yr HybridFull Time
Southwest Power Pool
Southwest Power Pool: Managing the electric grid and wholesale power markets.
0+ YOEEngineer role requiring a bachelor’s in engineering; strong analytical, data, and communication skills; travel up to 10-15%; eligibility to work in the U.S. without sponsorship.
Microsoft Office, Excel, Access
3w
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Lead, Sr. Engineer II or Sr Engineer -Market Design (Remote eligible)
Little Rock or United States
$108k-$151k/yr HybridFull Time
Southwest Power Pool
Southwest Power Pool: Managing the electric grid and wholesale power markets.
5+ YOEBachelor's in engineering (ABET-caliber) required; PE license may be required for Lead level. 5+ years engineering experience (varies by level). Experience with market design, data analysis, stakeholder facilitation, and strong communication skills.
Microsoft Office
1mo
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Energy Analyst II
Little Rock, Arkansas, United States
OnsiteFull Time
iPipeline
iPipeline: Provides digital software solutions for the life insurance industry.
Bachelor's degree in engineering, math, or physics; strong Excel skills; analytical mindset; detail oriented; good communication; capable of fast-paced work.
Microsoft Excel, Power BI, Python, Tableau, Jupyter Notebook, R