Junior Data Platform Engineer, Residency
Rokt
This job at a glance
- Who can apply
- New grads and up to 2 years
- Must know
- ETLMachine learningData structures & algorithmsPythonJavaTypeScript
- Nice to have
- SparkSQLDockerKubernetes
- Work
- On-site in New York
- Pay
- Not stated by the employer.
- Skill demand
- Python75%ETL69%Machine learning27%Data structures & algorithms11%of 99 similar entry-level jobs posted in the US this week
- Listed
- Nov 12, 2026 · still open
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Rokt is the global leader in ecommerce, on a mission to make every transaction more relevant.
About the Role
The Rokt Residency is an 18-week, full-time, paid early-career program for software engineers. Residents will have the opportunity to receive full-time offers to join Rokt upon completion of their residency. This cohort kicks off January 2027, with the option for earlier start dates.
How Your Future Team Uses AI
Rokt is an AI-first company. Teams use AI and automation tools to move faster. Rokt Builders use AI coding agents to write, test, and review code. Data platform teams use AI to write and optimize pipeline code, diagnose failed jobs, validate data quality, and generate tests. Residents will use enterprise AI tools from day one.
Team placement will be based on interview performance, prior experience, and business need.
Data Platform at Rokt
Rokt’s data platform moves, stores, and serves data through streaming and batch infrastructure built on open-source technologies such as Apache Kafka, Spark, Cassandra, Iceberg, and Trino. Residents on this track build the pipelines and platform services that Rokt’s engineering and science teams depend on.
Key Responsibilities
- Build and deploy streaming and batch data pipelines using technologies such as Kafka and Spark.
- Improve the reliability, performance, and cost of data infrastructure that processes billions of transactions a year.
- Build data quality checks and monitoring that catch problems before they reach models or reports.
- Build and use AI tools and automations to speed up coding, testing, and deployment.
- Work with ML engineers, data scientists, and senior Builders to give teams across Rokt fast, reliable access to the data they need.
Requirements & Tech Stack
- Strong computer science fundamentals: data structures, algorithms, and how to write clean, tested code.
- Proficiency in at least one programming language, such as Go, Java, C#, Rust, TypeScript, or Python.
- Hands-on experience using AI coding tools to build software.
- Software engineering experience, including internships, personal projects, open-source work, or hackathons.
- Evidence that you have built and shipped something real, such as a project, product, or tool that other people use.
- Drive: You hold yourself to a high and rising bar and take ownership beyond your assigned task.
- Reasoning ability: You break hard problems down from first principles and notice the details that matter.
- Brilliant and humble: You back the best idea, not just your own, and you’re quick to help a teammate.
- Availability to work full time in the office in New York for the full 18 weeks.
Preferred
- Foundational understanding of SQL and how data is modelled, stored, and queried.
- Experience building with Kafka, Spark, or other distributed data processing tools.
- Experience building on public cloud (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) platforms.
Compensation & Benefits
During the Residency
- Compensation: ~$50.48/hour.
- Generous technology allowance to spend on a Macbook Pro M5 + accessories (yours to keep).
- Enterprise access to leading AI tools.
- Catered lunch every day and a fully stocked pantry.
- Dog-friendly offices.
If You Join Full Time Post-Residency
- Total Target Compensation: $127,000, including a fixed annual salary of $120,000.
- Employee equity plan grant (RSUs).
- World-class benefits.
- Fully funded insurance (Medical, Dental, Vision).
- Dollar-for-dollar 401K matching plan (up to 4% of fixed annual salary).
- Fully funded life, short term, and long term disability insurance.
- Equity in a profitable, fast-growing company.
- Monthly Wellness and Cell Phone Allowances.
- Quarterly performance reviews.
- Extra leave (bonus annual leave, sabbatical leave etc.).
- Work in the office with your team at least 4 days a week.
Final compensation is determined by the level assessed through the interview process and based on how your experience and skills map to our career ladder.