We are looking for an Analytics Engineer (contract) to join Artifactory Product Analytics and build the data platform behind how we measure our products. You will own the engineering side of analytics: designing product telemetry with PMs and R&D, modeling that data into trusted, reusable datasets in the warehouse, and making those datasets easy for analysts and stakeholders to consume. Product analysts own the product questions and metric definitions; you make the data underneath them fast, consistent, and dependable.
You will work inside an AI-native analytics environment (Cursor, Claude, and similar coding agents) as the default way of shipping — not as an optional add-on.
Fixed-term contract: 6–8 months. Start date: October 12, 2026.
Responsibilities:
- Design telemetry: partner with PMs and R&D to define event and data specs for product usage — schemas, properties, validation, and the path into the warehouse (core, ongoing part of the role)
- Build the modeled layer: develop and maintain dbt transformation models (staging → intermediate → gold) so Artifactory product data is consistent, tested, documented, and reusable
- Enable self-serve: with the analysts, design and implement how stakeholders reach certified product data so recurring questions don't need a custom pull
- Align definitions: standardize entities, grain, and model structure across Artifactory areas together with the analysts who own product meaning
- Ship in an AI-native workflow: specs, SQL, dbt models, reviews, and documentation done in Cursor / Claude and equivalent tools
Must-have requirements:
- 4+ years in analytics engineering, data modeling, or a closely related warehouse role — shipping production-grade models, not only ad-hoc SQL
- Hands-on dbt in production: models, tests, documentation, version control
- Strong SQL and warehouse data modeling (layered models, grain, entities)
- Amazon Redshift or a comparable cloud warehouse (Snowflake, BigQuery)
- Proven experience designing product telemetry with PMs or engineers — event schemas, properties, validation
- Experience with event-tracking platforms / tracking-plan tooling (Snowplow, Segment, Amplitude or similar)
- Daily, fluent use of Cursor, Claude, or equivalent agentic coding environments to write, review, and ship data work
- Git-based workflows and code review
- Comfortable building a shared data layer in close partnership with embedded product analysts; clear English communication with PMs and engineers
Nice to have:
- Snowplow specifically (strongly preferred)
- Redshift specifically
- BI / semantic-layer exposure (Looker, Tableau, Metabase or similar)
- Python for data tooling
- B2B DevOps / developer-tools product domain
- Bachelor's degree in a quantitative or technical field, or equivalent hands-on experience
Skills Required
- 4+ years of experience in analytics engineering, data modeling, or a closely related warehouse role, including production-grade model development
- Hands-on dbt experience in production, including models, tests, documentation, and version control
- Strong SQL and warehouse data modeling skills, including layered models, grain, and entities
- Experience with Amazon Redshift or a comparable cloud warehouse such as Snowflake or BigQuery
- Experience designing product telemetry with product managers or engineers, including event schemas, properties, and validation
- Experience with event-tracking platforms or tracking-plan tooling such as Snowplow, Segment, or Amplitude
- Daily, fluent use of Cursor, Claude, or equivalent agentic coding environments to write, review, and ship data work
- Experience with Git-based workflows and code review
- Ability to build shared data layers in partnership with embedded product analysts and communicate clearly in English with PMs and engineers
- Experience with Snowplow
- Experience with Amazon Redshift
- BI or semantic-layer exposure, such as Looker, Tableau, or Metabase
- Python experience for data tooling
- B2B DevOps or developer-tools product domain experience
- Bachelor's degree in a quantitative or technical field, or equivalent hands-on experience
What We Do
Commit is a global tech services company with offices in Israel, US, Canada, UK, and Europe. The company was founded in 2005 and has over 700 multi-disciplinary innovation experts who serve a broad range of companies, from small startups to large enterprises in multiple business sectors. Commit specializes in advanced technologies and applications with dedicated practices in Cloud, GenAI, Software, IoT, Big Data, Cyber, Collaboration, Data center migration projects, and more. Commit offers innovative, end-to-end technology solutions by developing custom software and IoT platforms for clients looking to build their next-gen products within the modern ICT world. Commit’s complete and comprehensive engineering powerhouse of resources, and proprietary Flexible R&D methodology helps transform its clients’ technology visions into high-quality products while reducing costs and improving time-to-market.
