

KellyMitchell Group
Senior Data Analytics Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Analytics Engineer in Glendale, California, with a contract length of unspecified duration. The pay rate ranges from $63.00 to $90.00 per hour. Key skills include Python, SQL, analytics engineering, and project management. A bachelor's degree and 5+ years of experience are required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
720
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🗓️ - Date
November 22, 2025
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
San Diego, CA
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🧠 - Skills detailed
#Data Modeling #Deployment #Automation #Data Pipeline #ML (Machine Learning) #Scala #Data Ingestion #Data Science #Project Management #Python #SQL (Structured Query Language) #Statistics #Documentation #"ETL (Extract #Transform #Load)" #Business Analysis #Computer Science
Role description
Job Summary
Our client is seeking a Senior Data Analytics Engineer to join their team! This position is located in Glendale, California.
Duties
• Architect and design scalable data products leveraging foundational data sets to support business needs and analytics initiatives
• Develop, optimize, and maintain robust codebases and frameworks for data products and services
• Collaborate with business stakeholders to define data strategies, assess existing assets, and identify opportunities for innovation and efficiency
• Design and document data ingestion and transformation specifications to ensure consistency, quality, and usability across platforms
• Create comprehensive documentation and provide training or guidance on how to effectively use data products for automation, reporting, and decision-making
• Build and manage end-to-end data pipelines that automate the creation, transformation, and deployment of insights derived from analytical and predictive models
• Monitor, evaluate, and enhance the performance of statistical and machine learning models integrated within data products
• Partner with data scientists to operationalize methodologies that address complex marketing and business challenges
• Coordinate closely with cross-functional science and technology teams to align data solutions with enterprise goals and standards
Desired Skills/Experience:
• Bachelor's degree in Computer Science, Information Systems, Software Engineering, or related field
• 5+ years of experience in analytics engineering and technology or related discipline
• Demonstrated academic or professional proficiency in statistics and probability, with a strong analytical foundation
• Advanced proficiency in Python and SQL for data modeling, transformation, and automation
• Excellent problem-solving, decision-making, and critical-thinking abilities, with attention to detail and accuracy
• Exceptional communication and interpersonal skills, with the ability to collaborate effectively across technical and non-technical teams
• Proven ability to manage multiple priorities and deliver high-quality results in a fast-paced environment
• Ability to work both independently and collaboratively within a diverse and dynamic team setting
• Project management and business analysis experience preferred
Benefits:
• Medical, Dental, & Vision Insurance Plans
• Employee-Owned Profit Sharing (ESOP)
• 401K offered
The approximate pay range for this position is between $63.00 and $90.00. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.
Job Summary
Our client is seeking a Senior Data Analytics Engineer to join their team! This position is located in Glendale, California.
Duties
• Architect and design scalable data products leveraging foundational data sets to support business needs and analytics initiatives
• Develop, optimize, and maintain robust codebases and frameworks for data products and services
• Collaborate with business stakeholders to define data strategies, assess existing assets, and identify opportunities for innovation and efficiency
• Design and document data ingestion and transformation specifications to ensure consistency, quality, and usability across platforms
• Create comprehensive documentation and provide training or guidance on how to effectively use data products for automation, reporting, and decision-making
• Build and manage end-to-end data pipelines that automate the creation, transformation, and deployment of insights derived from analytical and predictive models
• Monitor, evaluate, and enhance the performance of statistical and machine learning models integrated within data products
• Partner with data scientists to operationalize methodologies that address complex marketing and business challenges
• Coordinate closely with cross-functional science and technology teams to align data solutions with enterprise goals and standards
Desired Skills/Experience:
• Bachelor's degree in Computer Science, Information Systems, Software Engineering, or related field
• 5+ years of experience in analytics engineering and technology or related discipline
• Demonstrated academic or professional proficiency in statistics and probability, with a strong analytical foundation
• Advanced proficiency in Python and SQL for data modeling, transformation, and automation
• Excellent problem-solving, decision-making, and critical-thinking abilities, with attention to detail and accuracy
• Exceptional communication and interpersonal skills, with the ability to collaborate effectively across technical and non-technical teams
• Proven ability to manage multiple priorities and deliver high-quality results in a fast-paced environment
• Ability to work both independently and collaboratively within a diverse and dynamic team setting
• Project management and business analysis experience preferred
Benefits:
• Medical, Dental, & Vision Insurance Plans
• Employee-Owned Profit Sharing (ESOP)
• 401K offered
The approximate pay range for this position is between $63.00 and $90.00. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.





