Akraya
Primary Skills: SQL (Expert), PySpark (Expert), Python (Advanced), Airflow (Advanced), Cloud Platforms (Advanced)
Contract Type: W2
Duration: 6+ Months
Location: San Jose, CA (Hybrid)
Pay Range: $65 - $69 per hour on W2
Job Summary
We are looking for a seasoned Senior Data Engineer to enhance our Data Science Engineering team with deep expertise in building scalable data pipelines and analytical dashboards, primarily in the digital imaging domain. This role entails designing and maintaining cutting-edge data solutions, orchestrating efficient workflows, and developing insightful dashboards to enable strategic decision-making. The ideal candidate will have a robust background in data engineering with significant experience in cloud technologies and big data processing.
Key Responsibilities
Design and manage sophisticated data pipelines for analytics and dashboarding. Liaise with stakeholders to convert business needs into technical specifications and data solutions. Create and optimize ETL workflows using orchestration tools for high efficiency. Ensure all data operations are well-documented for future reference and maintenance. Develop, test, and implement cloud-native applications focusing on cost-effective solutions.
Must-Have Skills:
Proficiency in SQL, PySpark, and Python for Big Data environments. Expertise in cloud-based technologies and data warehousing solutions (e.g., Databricks, AWS Glue). Strong experience with workflow orchestration tools (e.g., Airflow).
Industry Experience:
Experience in Digital Imaging or related field preferred, with a comprehensive understanding of data privacy, governance, and compliance.
About Akraya
Akraya is an award-winning IT staffing firm consistently recognized for our commitment to
excellence and a thriving work environment .
Most recently, we were recognized Inc's Best Workplaces 2024 and Silicon Valley's Best Places to Work by the San Francisco Business Journal (2024) and Glassdoor's Best Places to Work (2023 & 2022)!
Industry Leaders in IT Staffing
As staffing solutions providers for Fortune 100 companies, Akraya's industry recognitions solidify our leadership position in the IT staffing space.
We don't just connect you with great jobs, we connect you with a workplace that inspires!
Join Akraya Today!
Let us lead you to your dream career and experience the Akraya difference. Browse our open positions and join our team!
Seniority level
Seniority level
Mid-Senior level Employment type
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Information Technology Industries
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Contract Type: W2
Duration: 6+ Months
Location: San Jose, CA (Hybrid)
Pay Range: $65 - $69 per hour on W2
Job Summary
We are looking for a seasoned Senior Data Engineer to enhance our Data Science Engineering team with deep expertise in building scalable data pipelines and analytical dashboards, primarily in the digital imaging domain. This role entails designing and maintaining cutting-edge data solutions, orchestrating efficient workflows, and developing insightful dashboards to enable strategic decision-making. The ideal candidate will have a robust background in data engineering with significant experience in cloud technologies and big data processing.
Key Responsibilities
Design and manage sophisticated data pipelines for analytics and dashboarding. Liaise with stakeholders to convert business needs into technical specifications and data solutions. Create and optimize ETL workflows using orchestration tools for high efficiency. Ensure all data operations are well-documented for future reference and maintenance. Develop, test, and implement cloud-native applications focusing on cost-effective solutions.
Must-Have Skills:
Proficiency in SQL, PySpark, and Python for Big Data environments. Expertise in cloud-based technologies and data warehousing solutions (e.g., Databricks, AWS Glue). Strong experience with workflow orchestration tools (e.g., Airflow).
Industry Experience:
Experience in Digital Imaging or related field preferred, with a comprehensive understanding of data privacy, governance, and compliance.
About Akraya
Akraya is an award-winning IT staffing firm consistently recognized for our commitment to
excellence and a thriving work environment .
Most recently, we were recognized Inc's Best Workplaces 2024 and Silicon Valley's Best Places to Work by the San Francisco Business Journal (2024) and Glassdoor's Best Places to Work (2023 & 2022)!
Industry Leaders in IT Staffing
As staffing solutions providers for Fortune 100 companies, Akraya's industry recognitions solidify our leadership position in the IT staffing space.
We don't just connect you with great jobs, we connect you with a workplace that inspires!
Join Akraya Today!
Let us lead you to your dream career and experience the Akraya difference. Browse our open positions and join our team!
Seniority level
Seniority level
Mid-Senior level Employment type
Employment type
Full-time Job function
Job function
Information Technology Industries
Staffing and Recruiting Referrals increase your chances of interviewing at Akraya, Inc. by 2x Sign in to set job alerts for Data Engineer roles.
Sunnyvale, CA $46.63-$134,000.00 1 week ago San Jose, CA $113,400.00-$206,300.00 1 week ago Data Engineer, Play Data Science and Analytics
Menlo Park, CA $114,000.00-$171,000.00 2 weeks ago Sunnyvale, CA $117,000.00-$234,000.00 1 week ago Sunnyvale, CA $114,000.00-$171,000.00 2 weeks ago Fremont, CA $114,000.00-$171,000.00 2 weeks ago Internship, Data Engineer, Applications Engineering (Fall 2025)
San Jose, CA $7,371.00-$14,274.00 4 months ago Internship, Data Engineer, Cell Engineering (Fall 2025)
Fremont, CA $145,000.00-$204,000.00 1 week ago Sunnyvale, CA $145,000.00-$204,000.00 2 weeks ago Fremont, CA $173,000.00-$242,000.00 2 weeks ago Software Engineer 4 - TV & Web Player Platform
Sunnyvale, CA $173,000.00-$242,000.00 2 weeks ago Associate Software Engineer, Backend Python
Menlo Park, CA $145,000.00-$204,000.00 2 weeks ago Menlo Park, CA $173,000.00-$242,000.00 2 weeks ago Sunnyvale, CA $56.25-$173,000.00 2 weeks ago Were unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr