Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with a contract duration from October to December 2025, offering remote work. Required skills include 5+ years in data science/engineering, proficiency in Python and SQL, and experience with ETL, AWS, and generative AI.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
September 11, 2025
🕒 - Project duration
3 to 6 months
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🏝️ - Location type
Remote
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
North Chicago, IL
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🧠 - Skills detailed
#Big Data #Python #NLP (Natural Language Processing) #Cloud #SNS (Simple Notification Service) #Data Pipeline #Dataiku #Visualization #Leadership #Data Strategy #Lambda (AWS Lambda) #Data Engineering #Deep Learning #ML (Machine Learning) #Hugging Face #"ETL (Extract #Transform #Load)" #Data Science #Strategy #R #Spotfire #SQS (Simple Queue Service) #AI (Artificial Intelligence) #Cloudera #Scala #SQL (Structured Query Language) #Datasets #Programming #AWS (Amazon Web Services)
Role description
Job Title: Data Scientist / Data Engineer (Contract)
Location: Remote (Preference for Central/EST/MST time zones; PST considered)
Duration: October–December 2025
About the Role
We are seeking a Data Scientist / Data Engineer to join the EPIC team, which focuses on generative AI initiatives, enterprise-scale analytics, and data strategy. This role offers the opportunity to work on impactful AI-driven projects, build scalable data pipelines, and deliver analytics solutions for enterprise adoption.
You will collaborate closely with product managers, analytics teams, and senior leadership to create data-driven solutions that are consistent, secure, and reliable.
Key Responsibilities
• Build and maintain scalable ETL pipelines for structured and unstructured data.
• Process large-scale datasets and event logs using Hive, Cloudera, Dataiku, and AWS services (SNS, SQS, Lambda).
• Perform EDA, KPI development, feature engineering, and exception-based reporting.
• Support and optimize ML, DL, and NLP models, including Hugging Face and LLM-based solutions.
• Create interactive dashboards and reports in Spotfire.
• Partner with cross-functional teams to drive AI strategies and enterprise adoption.
Qualifications
• 5+ years of experience in data science, data engineering, or analytics.
• Proficiency in Python and SQL (R programming a plus).
• Strong background in ETL, data pipelines, and big data platforms (Hive, Cloudera).
• Experience with Dataiku, AWS services, and generative AI initiatives.
• Knowledge of machine learning, deep learning, NLP, and LLMs.
• Skilled in Spotfire dashboard development and interactive visualizations.
• Strong communication and stakeholder management skills; self-starter mindset.
Workload Breakdown
• 50% Data Engineering & Descriptive Analytics
• 25% Visualization & Dashboards (Spotfire)
• 25% Data Science (ML/DL/LLMs)
Why Join?
• Work on cutting-edge AI and data strategy initiatives.
• Collaborate with a forward-thinking, enterprise-level innovation team.
• Competitive contract role with potential for 2026 extension based on performance and funding.
📩 How to Apply:
If you’re excited about leveraging data science, engineering, and AI to drive innovation, please send your resume to [pranjali.tiwari@spectraforce.com] or apply directly.
Job Title: Data Scientist / Data Engineer (Contract)
Location: Remote (Preference for Central/EST/MST time zones; PST considered)
Duration: October–December 2025
About the Role
We are seeking a Data Scientist / Data Engineer to join the EPIC team, which focuses on generative AI initiatives, enterprise-scale analytics, and data strategy. This role offers the opportunity to work on impactful AI-driven projects, build scalable data pipelines, and deliver analytics solutions for enterprise adoption.
You will collaborate closely with product managers, analytics teams, and senior leadership to create data-driven solutions that are consistent, secure, and reliable.
Key Responsibilities
• Build and maintain scalable ETL pipelines for structured and unstructured data.
• Process large-scale datasets and event logs using Hive, Cloudera, Dataiku, and AWS services (SNS, SQS, Lambda).
• Perform EDA, KPI development, feature engineering, and exception-based reporting.
• Support and optimize ML, DL, and NLP models, including Hugging Face and LLM-based solutions.
• Create interactive dashboards and reports in Spotfire.
• Partner with cross-functional teams to drive AI strategies and enterprise adoption.
Qualifications
• 5+ years of experience in data science, data engineering, or analytics.
• Proficiency in Python and SQL (R programming a plus).
• Strong background in ETL, data pipelines, and big data platforms (Hive, Cloudera).
• Experience with Dataiku, AWS services, and generative AI initiatives.
• Knowledge of machine learning, deep learning, NLP, and LLMs.
• Skilled in Spotfire dashboard development and interactive visualizations.
• Strong communication and stakeholder management skills; self-starter mindset.
Workload Breakdown
• 50% Data Engineering & Descriptive Analytics
• 25% Visualization & Dashboards (Spotfire)
• 25% Data Science (ML/DL/LLMs)
Why Join?
• Work on cutting-edge AI and data strategy initiatives.
• Collaborate with a forward-thinking, enterprise-level innovation team.
• Competitive contract role with potential for 2026 extension based on performance and funding.
📩 How to Apply:
If you’re excited about leveraging data science, engineering, and AI to drive innovation, please send your resume to [pranjali.tiwari@spectraforce.com] or apply directly.
