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Data Engineer 1
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Adobe
San Jose, CA (In Person)
$129,189 Salary, Full-Time
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Job Description
Data Engineer 1 Adobe San Jose, CA Job Details Full-time $55.21 - $69.01 an hour 5 hours ago Benefits Health insurance Dental insurance 401(k) Vision insurance 401(k) matching Paid sick time Qualifications Performance monitoring Data integrity assurance Data Integration (Data management) Data validation techniques ETL pipeline development Workflow management (operations management method) IT system monitoring Spark Scalable systems SQL ETL process automation Data integrity process (data warehousing) Data quality monitoring Query execution time improvement Scalability Monitoring system implementation Distributed computing System tuning 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 Data Engineer 1 You will design and maintain scalable data pipelines that enable growth and monetization initiatives for the client. You will partner with Data Science, Product, Marketing, and Engineering stakeholders to deliver actionable insights and reliable data infrastructure. This is an onsite role in San Jose, CA, supporting a time-limited engagement from June to November. Here's How You'll Make an Impact on the Team Design, build, optimize, and maintain scalable data pipelines to support growth and monetization efforts Write and optimize complex SQL queries to analyze A/B experiment results and other large datasets Develop and enhance ETL/ELT workflows for large-scale structured and unstructured data Optimize pipeline performance, reliability, scalability, and data quality across distributed systems Implement automated monitoring, alerting, and validation frameworks for pipeline health and data integrity Collaborate with Data Science, Product, Marketing, and Engineering teams to deliver scalable data solutions Here's What You'll Need to Be Successful in This Role Minimum 5 years of relevant experience 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 or 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 Pay Range $55.21 - $69.01/hour Ready to Make Your Mark? This role may fill quickly. Submit your resume to be considered.