Lead Data Engineer

Aziro Technologies Llc
United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Data Analysis Business Logic Information Engineering TypeScript ReactJS Snowflake Data Build Tool (dbt) Backend AngularJS Apache Kafka Front End Software Development

Requirements

  • Analytics Engineering / Data Modelling: Strong hands-on experience with dbt (data build tool), data modelling, transformation layers, testing, and documentation.
  • Backend & Integration: Backend development, APIs, Kafka, and experience working with Cycle Manager business logic/workflows.
  • Frontend Validation: Exposure to workflow/UI validation using React/TypeScript or Angular.
  • QA & Migration Validation: Experience with QA validation, data reconciliation, parallel-run testing, defect resolution, and final sign-off.

The ideal candidate should have broad, hands-on experience across these areas rather than being focused only on Snowflake/data engineering. We are looking for someone who can take end-to-end ownership of the migration, from understanding existing business logic and pipelines through development, validation, parallel runs, and production cutover.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:33 min

Integrating internal APIs and maintaining data sovereignty

Mahran Meißner Mahran Meißner · World Congress 2026 Europe

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

1:21 min

Exploring the target application for front end tests

Anna Mcdougall · JS Congress

1:52 min

Structuring and scaling the backend engineering team

Stefan Lingler Stefan Lingler +1 · Coffee With Developers

1:38 min

Transitioning into backend engineering from web development

Stefan Lingler Stefan Lingler +1 · Coffee With Developers

2:46 min

Transforming data architecture from on-premise to cloud

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

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