Data Engineer

We are Rokt, a hyper-growth ecommerce leader. Rokt is the global leader in ecommerce, unlocking real-time relevance in the moment that matters most. Rokt’s AI Brain and ecommerce Network powers billions of transactions connecting hundreds of millions of customers, and is trusted to do this by the world’s leading companies.

We are a team of builders helping smart businesses find innovative ways to meet customer needs and generate incremental revenue. Leading companies drive 10-50% of additional revenue—and often all their profits—from the extra products or services they sell. This economic edge unleashes a world of possibilities for growth and innovation.

The Rokt engineering team builds best-in-class ecommerce technology that provides personalized and relevant experiences for customers globally and empowers marketers with sophisticated, AI-driven tooling to understand consumers better. Our bespoke platform handles millions of transactions per day. It considers billions of data points which give engineers the opportunity to build technology at scale, collaborate across teams, and gain exposure to a wide range of technology.

At Rokt, we practice transparency in career paths and compensation. At Rokt, we believe in transparency, which is why we have a well-defined career ladder with transparent compensation and clear career paths based on competency and ability. Rokt’stars constantly strive to raise the bar, pushing the envelope of what is possible.

A fixed annual salary of $170,000 - $210,000, an employee equity plan grant, and world-class benefits. 

Equity grants are issued in good faith, subject to company policies, board approval, and individual eligibility.

About the role: 

Join Rokt as a Data Engineer on the Metrics team, you will architect the semantic and data layers that define how Rokt measures success. You’ll transform raw product and GTM event streams into trusted, governed, analytics-ready models; codify business logic into reusable metric definitions; and build proactive monitoring to keep our “single source of truth” healthy and reliable at scale. You’ll serve as metric steward for one or more business domains, owning the semantic layer and data models end-to-end 

You’ll partner closely with engineers, product managers, data scientists, and GTM stakeholders across Rokt’s Research & Development organization to enable self-serve insights and consistent decision-making.

• Model data for trust & reuse: Build modular, tested transformations (e.g. in Spark/Python) that convert raw logs into canonical datasets and marts powering experimentation, product analytics, and executive reporting.
• Own the metrics layer: Design and maintain a governed catalog of metrics and dimensions (e.g.Datahub) with clear definitions, lineage, and versioning.
• Operate reliable pipelines: Orchestrate and harden batch/stream pipelines (e.g., Airflow/Kafka/Spark) with SLAs, backfills, and cost-aware performance tuning.
• Proactive data quality: Implement unit/integration tests, anomaly detection, and monitoring (e.g  Great Expectations/Monte Carlo/Bigeye) to catch metric drift and upstream integration issues before they reach users.
• Integration health visibility: Build dashboards/alerts for client conversion data health and integration metrics (e.g., EMQ, AQS), and drive root-cause analysis and remediation with partner teams.
• Enable self-serve analytics: Create intuitive dashboards and templates (e.g., Tableau) that expose the metric layer and unlock analysis for engineering, PM, and GTM users.
• Define logging standards: Partner with product/engineering to instrument event schemas and logging guidelines that improve downstream observability and data quality.
• Document & govern: Establish style guides, playbooks, and change-management processes for metric and model evolution (including deprecation and backfills).
• Raise the bar: Lead code reviews, mentor peers, and contribute to platform roadmaps across Rokt Research.

Requirements

• 3-6+ years in  data engineering / data warehousing roles building production-grade data models and metrics at scale.
• Expert SQL (Trino preferred) and solid Python for analytics engineering and data tooling.
• Experience with Spark (PySpark or Spark SQL) for large-scale data processing, optimization, and distributed computation.
• Hands-on orchestration experience (e.g., Airflow, Dagster) and comfort operating pipelines end-to-end (monitoring, backfills, SLAs, cost/perf tuning). Manage Kubernetes based data workflows.
• Cloud experience with AWS
• Proficiency in at least one cloud warehouse (Clickhouse, Snowflake, BigQuery, or Redshift) or datalake technologies (i.e Apache Iceberg, Apache Hudi, DeltaLake) and comfort with large-scale partitioning, clustering, and performance patterns.
• Track record owning data quality and data reliability for critical metrics; you’ve implemented tests, lineage, and observability that prevented or rapidly mitigated incidents.
• Ability to partner with engineers, PMs, and GTM teams to translate ambiguous business questions into robust metric definitions and data products.
• Experience building/maintaining a semantic metrics layer (dbt metrics, LookML, MetricFlow, or Transform) and/or reverse ETL to operational tools. 
• Exposure to streaming patterns (Kafka/Flink/Spark Structured Streaming) and metric computation. 
• Familiarity with experimentation frameworks (A/B testing, guardrail metrics) and causal inference basics. 
• Domain experience in ecommerce / adtech / performance marketing. 
• Infra-as-code (e.g., Terraform), containerization (Docker/Kubernetes), or platform engineering exposure.

Benefits

• Build the Future of AI in Ecommerce: Be at the forefront of AI-driven transformation in a company that’s pioneering how brands engage customers in the “moment that matters” during online transactions.
• Hyper-Growth = Fast Progression: Rokt is a rapidly growing tech leader, which means huge opportunities for your career advancement, learning, and taking on bigger responsibilities quickly.
• Culture of Builders: Work with a smart, humble, and bold team that shares a “builder” DNA – we love to innovate, take risks, and turn ambitious ideas into tangible results. We win as a team and learn from every experiment.
• Ownership & Impact: Every Rokt’star (employee) has a voice and real equity in the company. You’ll have autonomy to make decisions, drive projects, and see the direct impact of your work on millions of users.
• World-Class Benefits & Support: Join a people-first culture with transparent career paths, continuous development (LevelUp training, mentorship), and great perks (equity grants, catered lunches, global offices, and more) that empower you to do your best work.

About The Benefits:

We leverage best-in-class technology and market-leading innovation in AI and ML, with all of that being underlined by building and maintaining a fantastic and inclusive culture where people can be their authentic selves, and offering a great list of perks and benefits to go with it:

• Become a shareholder. Every Rokt’star gets equity in the company
• Enjoy catered lunch every day and healthy snacks in the office. Plus join the gym on us! 
• Extra leave (bonus annual leave, sabbatical leave etc.) 
• Access generous retirement plans like a 4% dollar-for-dollar 401K matching plan and get fully funded premium health insurance!
• Dog-friendly office
• Work with the greatest talent in town
• See the world! We have offices in New York, Seattle, Sydney, Tokyo and London

We believe we’re better together. We love spending time together and are in the office most days (teams are in the office minimum 4 days per week). 

We at Rokt choose to create a company that is as diverse and inclusive as the world we live in by attracting, growing & keeping the best talent. Equal employment opportunities are available to all applicants without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

If this sounds like a role you’d enjoy, apply here, and you’ll hear from our recruiting team.

Note: The first stage of the recruitment process for this role is to complete a 15-minute online aptitude test as well as an employee personality profile assessment, which will be sent out to your application email. Successful candidates will be contacted to discuss the next steps.