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# Senior Analytics Engineer

- **Company:** Payward, Inc.
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $150,000.0 - $220,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Data Analysis, Continuous Integration, Data Warehousing, Github, Python (Programming Language), Standard Sql, SQL Databases, Data Streaming, Circleci, Scripting, Git, Data Lakes, Kubernetes, Front End Software Development, Software Version Control, Data Pipelines
- **Published:** August 24, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=da9d4cde692ecc27

## About the Role

* We're looking for someone who combines market industry knowledge and experience with a passion for working with data.
 * Strong level of data skills/analytics experience. Comfortable with energy/utilities and other relevant subject areas.
 * Learns fast and is enthusiastic about learning new technologies & processes
 * Be highly proficient in dbt and SQL, capable of working on large complex datasets while seeing the big picture
 * Experience building data pipelines and working with engineering teams
 * Curious and self driven - when faced with a new problem is capable of seeking out an answer without lots of help and support
 * Highly data literate and numerate - can make sense of lots of data and shape it into a coherent story
 * Great communicator, can explain complex technical problems to non-technical teams
 * Has experience with some of the below technologies:
*

 + A scripting language (ideally Python)
*

 + Writing accurate and performant queries in SQL
*

 + Working in a modern cloud data warehouse environment
*

 + Working collaboratively on codebases using git
*

 + Front-end/Dashboarding experience

## Description

* We run a modern cloud data platform using key technologies such as:
 * Postgres source databases
 * AWS cloud infrastructure
 * Databricks Delta Lake for data lake and warehouse storage and querying
 * dbt() for data modelling and transformations
 * Python as main scripting language
 * Airflow for task scheduling
 * Kubernetes for orchestration
 * Github and Circle CI for version control, deployment and monitoring

What you'll do

 * Become a subject matter expert on the Kraken data model across North America and the application as a whole
 * Lead on building models, data flows, and metrics specific to the North American markets.
 * Work with Data and Product leadership to prioritize projects across our North American clients.
 * Be exposed to new technologies and tools, and receive guidance on developing your skills
 * Build and maintain dashboards and data apps for senior stakeholders
 * Contribute to the development of the Kraken Analytics team and to our coding standards, continuous integration testing, and AI readiness
 * Lead and own major strategic projects end to end
 * Work closely with a broad range of teams at Kraken
 * Continue to develop your analytics engineering skills


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