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Senior Data Engineer (Bristol, CT or New York City, NY – Hybrid) Optomi, in partnership with a leader in the entertainment industry, is seeking a Senior Data Engineer to join a high-impact Product Performance team! This is an exciting opportunity to build and optimize large-scale data pipelines that power product analytics, streaming performance, search, and customer experience for a world-class digital platform. What the right candidate will enjoy: 4-day hybrid opportunity in Bristol, CT or New York City, NY! Building high-scale batch and streaming data pipelines using Scala, Python, Spark, Kafka, and Airflow! Developing data solutions that power product analytics, streaming performance, and customer insights! Collaborating with Product Managers, Data Analysts, and Engineering teams to deliver scalable, production-grade data solutions! Joining a collaborative engineering team that values software engineering best practices, problem solving, and continuous learning! Experience the right candidate will have: 5+ years of software engineering experience developing large-scale data pipelines. Strong software engineering experience with Scala and Python. Hands-on production experience with distributed processing technologies such as Spark and Kafka. Strong SQL skills with experience analyzing and optimizing complex datasets. Experience with workflow orchestration tools such as Airflow. Strong understanding of CI/CD, SDLC, version control, and software engineering best practices. Experience with cloud platforms such as AWS (S3 or similar cloud services). Strong analytical, troubleshooting, and communication skills with the ability to solve complex engineering problems. Responsibilities of the right candidate: Design, build, and deploy scalable batch and streaming data pipelines using Scala, Python, Spark, and Kafka. Develop and maintain core data models and algorithms that support product analytics and business reporting. Build reliable, production-ready data solutions supporting large-scale analytics and customer-facing products. Investigate production issues, troubleshoot pipeline failures, and implement long-term improvements for reliability and scalability. Maintain high standards for software development through code reviews, testing, CI/CD, and deployment best practices. Partner with Product Managers, Data Analysts, and engineering teams to deliver new data capabilities and features. Continuously optimize data processing performance while ensuring data quality, reliability, and maintainability. Contribute to an Agile engineering environment while learning and adopting new technologies as the platform evolves.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.