aKUBE
Senior Data Decision Science Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Decision Science Engineer, offering a 6-month hybrid contract in NYC/Orlando at up to $85.5/hr. Requires 3-5 years in data engineering, strong SQL/Python skills, AWS experience, and proficiency in ETL and big data tools.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
680
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🗓️ - Date
November 8, 2025
🕒 - Duration
More than 6 months
-
🏝️ - Location
Hybrid
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
New York, NY
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🧠 - Skills detailed
#S3 (Amazon Simple Storage Service) #Data Management #SQL (Structured Query Language) #Data Architecture #Computer Science #Docker #Datasets #Deployment #Forecasting #Python #Data Science #Scala #Databases #EC2 #DMP (Data Management Platform) #Mathematics #Apache Airflow #ML (Machine Learning) #AWS EMR (Amazon Elastic MapReduce) #Cloud #AWS (Amazon Web Services) #Airflow #GitHub #Data Integration #GitLab #Big Data #Snowflake #Data Engineering #"ETL (Extract #Transform #Load)"
Role description
City: NYC, NY/ Orlando, FL
Onsite/ Hybrid/ Remote: Hybrid (3-4 days a week Onsite)
Duration: 6months
Rate Range: Up to$85.5/hr on W2 depending on experience (no C2C or 1099 or sub-contract)
Work Authorization: GC, USC, All valid EADs except OPT, CPT, H1B
Must Have:
• 3–5 years of experience in software or data engineering
• Strong SQL and Python development skills
• 2+ years with AWS (EMR, EC2, S3) or other cloud technologies
• Experience with relational databases (Postgres or Snowflake)
• Proficiency in GitLab/GitHub, Docker, and Apache Airflow
• Experience with large datasets, big data tools, and ETL pipelines
Responsibilities:
• Act as a consultant leveraging data and business knowledge to deliver analytics-driven solutions.
• Define and maintain product roadmaps, ensuring analytical systems integrate seamlessly with business processes.
• Design, build, and optimize data integration, validation, and testing solutions.
• Develop production-ready custom code in SQL and Python for ETL and data workflows.
• Collaborate with engineering and data science teams to ensure cohesive product development.
• Automate processes and enhance existing analytical systems for efficiency and scalability.
• Communicate proactively with both technical and non-technical stakeholders.
Qualifications:
• Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field.
• Proven experience in cloud-based data engineering and application development.
• Strong understanding of scalable data architecture and deployment practices.
• Excellent problem-solving, communication, and cross-functional collaboration skills.
• Ability to adapt to fast-changing business priorities.
Preferred:
• Experience with revenue management, AdTech, or forecasting analytics.
• Familiarity with machine learning methods and advanced analytical techniques.
• Knowledge of media ad sales (linear/digital), audience data, or data management platforms.
• Experience developing product roadmaps and automating analytical processes.
City: NYC, NY/ Orlando, FL
Onsite/ Hybrid/ Remote: Hybrid (3-4 days a week Onsite)
Duration: 6months
Rate Range: Up to$85.5/hr on W2 depending on experience (no C2C or 1099 or sub-contract)
Work Authorization: GC, USC, All valid EADs except OPT, CPT, H1B
Must Have:
• 3–5 years of experience in software or data engineering
• Strong SQL and Python development skills
• 2+ years with AWS (EMR, EC2, S3) or other cloud technologies
• Experience with relational databases (Postgres or Snowflake)
• Proficiency in GitLab/GitHub, Docker, and Apache Airflow
• Experience with large datasets, big data tools, and ETL pipelines
Responsibilities:
• Act as a consultant leveraging data and business knowledge to deliver analytics-driven solutions.
• Define and maintain product roadmaps, ensuring analytical systems integrate seamlessly with business processes.
• Design, build, and optimize data integration, validation, and testing solutions.
• Develop production-ready custom code in SQL and Python for ETL and data workflows.
• Collaborate with engineering and data science teams to ensure cohesive product development.
• Automate processes and enhance existing analytical systems for efficiency and scalability.
• Communicate proactively with both technical and non-technical stakeholders.
Qualifications:
• Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field.
• Proven experience in cloud-based data engineering and application development.
• Strong understanding of scalable data architecture and deployment practices.
• Excellent problem-solving, communication, and cross-functional collaboration skills.
• Ability to adapt to fast-changing business priorities.
Preferred:
• Experience with revenue management, AdTech, or forecasting analytics.
• Familiarity with machine learning methods and advanced analytical techniques.
• Knowledge of media ad sales (linear/digital), audience data, or data management platforms.
• Experience developing product roadmaps and automating analytical processes.
