Data Engineer 1 (#2702) Adobe San Jose, CA Job Details Full-time $55.21 - $69.01 an hour 3 hours ago Benefits Health insurance Dental insurance 401(k) Vision insurance 401(k) matching Paid sick time Qualifications Performance monitoring Data integrity assurance Performance tuning Data Integration (Data management) Data validation techniques ETL pipeline development Workflow management (operations management method) Spark System performance optimization Process design Apache Hive Scalable systems SQL ETL process automation Data integrity process (data warehousing) Scalability Monitoring system implementation A/B testing Distributed computing System tuning Data performance optimization Query management Hadoop Full Job Description You'll be joining Adobe on a contract opportunity, employed through NextDeavor Benefits You'll Love NextDeavor offers health, vision and dental benefits for contract employees Paid sick leave eligibility is contingent on state of residence Optional 401k Plan (excludes employer match) Opportunity to get your foot in the door at a well-established corporation, with potential for extended or permanent full-time employment Become a Key Player as a a Data Engineer 1 You will design and maintain scalable data solutions that enable the client's growth monetization efforts and drive measurable product and marketing outcomes. You will partner closely with Data Science, Product, Marketing, and Engineering stakeholders to deliver reliable pipelines and actionable insights. This role supports an 8-hour shift with a guaranteed 40 hours per week. Here's How You'll Make an Impact on the Team Design, build, optimize, and maintain scalable data pipelines to support growth monetization initiatives Write and optimize complex SQL queries to analyze A/B experiment results Develop and enhance ETL/ELT workflows for large-scale structured and unstructured datasets Optimize pipeline performance, reliability, scalability, and data quality across distributed systems Work with Big Data technologies and best practices to process high-volume datasets efficiently Build automated monitoring, alerting, and validation frameworks for pipeline health and data integrity Partner with Data Science, Product, Marketing, and Engineering teams to deliver actionable insights and scalable data solutions Here's What You'll Need to Be Successful in This Role Strong SQL expertise with the ability to write and optimize complex queries on large datasets Hands-on experience with Big Data technologies such as Hadoop, Hive, Spark, or similar distributed processing frameworks Experience building and optimizing scalable data pipelines in cloud and enterprise environments Proficiency in ETL orchestration and workflow management tools Experience with data quality, pipeline monitoring, and performance tuning Ability to collaborate effectively with technical and non-technical stakeholders in a fast-paced environment Minimum 5 years of experience required Pay Range $55.21 - $69.01/hour Ready to Make Your Mark? This role may fill quickly. Submit your resume to be considered.

Pay:

$55.21 - $69.01 per hour

Benefits:

401(k) Dental insurance Health insurance Vision insurance

Work Location:

In person