AMISEQ
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This range is provided by AMISEQ. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
$55.00/hr - $60.00/hr Job Description: We are seeking a skilled Data Engineer with expertise in Big Data technologies to join our client team in San Jose, CA. This role requires a long-term W2 contract and onsite presence 3 days per week. Key Responsibilities: Design, develop, and maintain scalable data pipelines and ETL workflows. Work extensively with Big Data technologies including Hadoop, HDFS, Hive, and Spark SQL. Develop and optimize Python scripts for data processing and automation. Write and maintain Unix/Linux shell scripts for data workflows and automation. Collaborate with cross-functional teams to support data-driven decision making. Required Skills: Strong experience in Python programming. Proficient with Hadoop ecosystem: Hadoop, HDFS, Hive, Spark SQL. Solid understanding of Unix/Linux operating systems and shell scripting. Extensive ETL experience Ability to work onsite in San Jose, CA at least 3 days per week. Seniority level
Seniority level Associate Employment type
Employment type Contract Job function
Job function Information Technology Industries Information Services Referrals increase your chances of interviewing at AMISEQ by 2x Sign in to set job alerts for “Data Engineer” roles.
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Menlo Park, CA $157,000.00-$230,000.00 2 weeks ago San Jose, CA $113,400.00-$206,300.00 1 week ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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$55.00/hr - $60.00/hr Job Description: We are seeking a skilled Data Engineer with expertise in Big Data technologies to join our client team in San Jose, CA. This role requires a long-term W2 contract and onsite presence 3 days per week. Key Responsibilities: Design, develop, and maintain scalable data pipelines and ETL workflows. Work extensively with Big Data technologies including Hadoop, HDFS, Hive, and Spark SQL. Develop and optimize Python scripts for data processing and automation. Write and maintain Unix/Linux shell scripts for data workflows and automation. Collaborate with cross-functional teams to support data-driven decision making. Required Skills: Strong experience in Python programming. Proficient with Hadoop ecosystem: Hadoop, HDFS, Hive, Spark SQL. Solid understanding of Unix/Linux operating systems and shell scripting. Extensive ETL experience Ability to work onsite in San Jose, CA at least 3 days per week. Seniority level
Seniority level Associate Employment type
Employment type Contract Job function
Job function Information Technology Industries Information Services Referrals increase your chances of interviewing at AMISEQ by 2x Sign in to set job alerts for “Data Engineer” roles.
Sunnyvale, CA $150,000.00-$158,000.00 1 hour ago Mountain View, CA $145,000.00-$170,000.00 4 days ago Mountain View, CA $138,225.00-$207,575.00 5 days ago Software Engineer, AI Platform - New Grad
Mountain View, CA $145,000.00-$170,000.00 4 days ago San Jose, CA $100,500.00-$173,250.00 1 week ago Software Engineer (L4), Content & Business Products
Palo Alto, CA $140,000.00-$185,000.00 2 weeks ago Mountain View, CA $130,000.00-$176,000.00 3 weeks ago San Jose, CA $113,400.00-$206,300.00 1 week ago Software Engineer (L5) - Open Connect Platform
San Jose, CA $100,500.00-$173,250.00 3 weeks ago San Jose, CA $113,400.00-$206,300.00 1 week ago San Francisco Bay Area $160,000.00-$180,000.00 13 hours ago San Jose, CA $93,200.00-$170,600.00 5 days ago San Jose, CA $113,400.00-$206,300.00 1 week ago San Jose, CA $113,400.00-$206,300.00 5 days ago Software Engineer, Google Store, Front End
Mountain View, CA $141,000.00-$202,000.00 2 weeks ago Software Engineer(s) - New Grad (Fall 2025 Graduation)
San Jose, CA $113,400.00-$206,300.00 1 week ago eCommerce Full Stack Developer (React / Shopify) - On Site
Menlo Park, CA $157,000.00-$230,000.00 2 weeks ago San Jose, CA $113,400.00-$206,300.00 1 week ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr