{"schemaVersion":"jobsearcher.job.v1","id":"507bb7c9e06a4a7fd0068f34","url":"https://jobsearcher.com/jobs/507bb7c9e06a4a7fd0068f34","canonicalUrl":"https://jobsearcher.com/jobs/507bb7c9e06a4a7fd0068f34","title":"Sr Data Engineer (Multiple Work Locations)","description":"Work location: Onsite in either Glendale, CA or Santa Monica, CA or San Francisco, CA or Seattle, WA.\nDuration of Assignment: 12+ Months\nW2 Only Position\nJOB DESCRIPTION:\nWe are looking for a Senior Engineer to join our Advertising Data Platform.\nEngineering group. This group powers core capabilities across addressable ad ecosystem, including operational data infrastructure, audience solutions, inventory forecasting, and full-funnel measurement.\nAs a senior engineer, you will play a critical role in driving technical direction, setting engineering standards, and mentoring other developers. You will be expected to lead by example — designing scalable systems, writing high-quality code, and solving complex data and engineering challenges with autonomy and accountability. Your work will have a direct impact on the foundation and evolution of our ad platform.\nThe ideal candidate will bring deep expertise in big data systems and strong experience building scalable backend or full stack services. You will work closely with engineers, data scientists, product managers, and stakeholders to build foundational systems that enable the future of advertising.\nResponsibilities:\nDesign, build, and maintain scalable data platform components for both real-time and batch processing. Own the full software development lifecycle — from requirements gathering and design to implementation, testing, and deployment.\nDrive engineering best practices including code quality, performance optimization, automated testing, CI/CD, and system reliability.\nDefine and evaluate technical architecture, contribute to system-level design discussions, and lead decision-making on key engineering trade-offs.\nCollaborate cross-functionally with product managers, program managers, SDETs, and data scientists to deliver impactful solutions aligned with business goals.\nLead by example to foster an inclusive, high-performing engineering culture; provide technical guidance and mentorship to junior and mid-level engineers.\nTroubleshoot and resolve complex production issues, ensuring system performance, availability, and reliability.\nContinuously evaluate emerging technologies and contribute to innovation efforts across the organization.\nQualifications:\n5+ years of professional programming in Scala, Python, etc.\n3+ years of big data development experience with technical stacks like Spark, Flink, Airflow, Singlestore, Kafka and AWS big data technologies.\nDeep understanding of data modeling, distributed systems, and performance optimization.\nKnowledge of system, application design and architecture.\nExperience of building industry level high available and scalable service.\nPassion about technologies, and openness to interdisciplinary work.\nExcellent communication and collaboration skills.\nPreferred Qualifications:\nHands-on experience with Databricks for development and deployment of data pipelines.\nExperience with data governance, compliance, or observability tooling.\nDemonstrated ability with cloud infrastructure technologies, including Terraform, K8S, Spinnaker, IAM, ALB, and etc.\nExperience with Snowflake, Kinesis, lambda etc.\nExperience in MicroService framework like Spring Boot, Spring Cloud, FastAPI, NestJS etc.\nRequired Education:\nSTEM BA Degree\n5+ years relevant experience\nJob Type: Contract\nPay: $80.00 - $89.00 per hour\nExpected hours: 40 per week\nApplication Question(s):\nThis is a W2 only position. Can you be considered on a W2 basis on day one of the assignment without sponsorship?\nCan you support an onsite work scheduled in either Glendale, CA or Santa Monica, CA or San Francisco, CA or Seattle, WA?\nExperience:\nScala: 5 years (Required)\nPython: 5 years (Required)\nSpark: 3 years (Required)\nApache Flink: 3 years (Required)\nAirflow: 3 years (Required)\nAWS Big Data: 3 years (Required)\nAWS Services: 3 years (Required)\nDatabricks: 3 years (Required)\nSnowflake: 3 years (Required)\nMicroservice Architecture: 3 years (Required)\nData pipelines: 5 years (Required)\nWork Location: In person","company":"Tentek","rawCompany":"tentek","city":"Glendale","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-04-14T11:25:19.768Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Sr Data Engineer (Multiple Work Locations)","description":"Work location: Onsite in either Glendale, CA or Santa Monica, CA or San Francisco, CA or Seattle, WA.\nDuration of Assignment: 12+ Months\nW2 Only Position\nJOB DESCRIPTION:\nWe are looking for a Senior Engineer to join our Advertising Data Platform.\nEngineering group. This group powers core capabilities across addressable ad ecosystem, including operational data infrastructure, audience solutions, inventory forecasting, and full-funnel measurement.\nAs a senior engineer, you will play a critical role in driving technical direction, setting engineering standards, and mentoring other developers. You will be expected to lead by example — designing scalable systems, writing high-quality code, and solving complex data and engineering challenges with autonomy and accountability. Your work will have a direct impact on the foundation and evolution of our ad platform.\nThe ideal candidate will bring deep expertise in big data systems and strong experience building scalable backend or full stack services. You will work closely with engineers, data scientists, product managers, and stakeholders to build foundational systems that enable the future of advertising.\nResponsibilities:\nDesign, build, and maintain scalable data platform components for both real-time and batch processing. Own the full software development lifecycle — from requirements gathering and design to implementation, testing, and deployment.\nDrive engineering best practices including code quality, performance optimization, automated testing, CI/CD, and system reliability.\nDefine and evaluate technical architecture, contribute to system-level design discussions, and lead decision-making on key engineering trade-offs.\nCollaborate cross-functionally with product managers, program managers, SDETs, and data scientists to deliver impactful solutions aligned with business goals.\nLead by example to foster an inclusive, high-performing engineering culture; provide technical guidance and mentorship to junior and mid-level engineers.\nTroubleshoot and resolve complex production issues, ensuring system performance, availability, and reliability.\nContinuously evaluate emerging technologies and contribute to innovation efforts across the organization.\nQualifications:\n5+ years of professional programming in Scala, Python, etc.\n3+ years of big data development experience with technical stacks like Spark, Flink, Airflow, Singlestore, Kafka and AWS big data technologies.\nDeep understanding of data modeling, distributed systems, and performance optimization.\nKnowledge of system, application design and architecture.\nExperience of building industry level high available and scalable service.\nPassion about technologies, and openness to interdisciplinary work.\nExcellent communication and collaboration skills.\nPreferred Qualifications:\nHands-on experience with Databricks for development and deployment of data pipelines.\nExperience with data governance, compliance, or observability tooling.\nDemonstrated ability with cloud infrastructure technologies, including Terraform, K8S, Spinnaker, IAM, ALB, and etc.\nExperience with Snowflake, Kinesis, lambda etc.\nExperience in MicroService framework like Spring Boot, Spring Cloud, FastAPI, NestJS etc.\nRequired Education:\nSTEM BA Degree\n5+ years relevant experience\nJob Type: Contract\nPay: $80.00 - $89.00 per hour\nExpected hours: 40 per week\nApplication Question(s):\nThis is a W2 only position. Can you be considered on a W2 basis on day one of the assignment without sponsorship?\nCan you support an onsite work scheduled in either Glendale, CA or Santa Monica, CA or San Francisco, CA or Seattle, WA?\nExperience:\nScala: 5 years (Required)\nPython: 5 years (Required)\nSpark: 3 years (Required)\nApache Flink: 3 years (Required)\nAirflow: 3 years (Required)\nAWS Big Data: 3 years (Required)\nAWS Services: 3 years (Required)\nDatabricks: 3 years (Required)\nSnowflake: 3 years (Required)\nMicroservice Architecture: 3 years (Required)\nData pipelines: 5 years (Required)\nWork Location: In person","datePosted":"2026-04-14T11:25:19.768Z","dateModified":"2026-04-14T11:25:19.768Z","hiringOrganization":{"@type":"Organization","name":"Tentek","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Glendale","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"507bb7c9e06a4a7fd0068f34"},"url":"https://jobsearcher.com/jobs/507bb7c9e06a4a7fd0068f34"}}