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Senior Data Engineer
Job in
New York, New York County, New York, 10261, USA
Listed on 2026-09-15
Listing for:
Kavyos Consulting
Full Time
position Listed on 2026-09-15
Job specializations:
-
Software Development
Data Engineering
Job Description & How to Apply Below
We are building a modern cloud-native data platform on Google Cloud and looking for a hands‑on Senior Data Engineer to own the transformation layer from raw source data through to analytics‑ready models that power business reporting and decision‑making. Our stack and processes are still evolving, so you'll help shape architecture and standards, not just inherit them.
What You’ll Do
- Design, build, and maintain layered data transformation pipelines in Big Query (staging, integration, warehouse/mart models)
- Ensure pipeline reliability through automated testing, CI/CD with Git-based development workflow, scheduling, and monitoring
- Optimize cloud data warehouse performance and compute costs (partitioning, clustering, slot/usage management)
- Collaborate with analysts and BI developers to deliver trusted, well‑documented data
- Contribute to platform and tooling decisions as we mature our data infrastructure
What You’ll Bring
- 3+ years in data engineering or analytics engineering
- Hands‑on Big Query (preferred), Snowflake, or Redshift experience in production
- Experience with a SQL‑based transformation framework - Dataform or dbt Core
- Strong SQL - window functions, CTEs, complex joins, performance optimization
- Python proficiency - writing clean, reusable code for data pipelines, scripting, and automation
- Data modeling fundamentals - staging layers, dimensional modeling, fact and dimension tables
- Experience with data ingestion or CDC pipelines into a cloud warehouse
- Strong communication skills - able to explain data models, trade‑offs, and pipeline issues clearly to non‑technical stakeholders, including senior leadership
- An entrepreneurial, builder mindset - comfortable with ambiguity, evolving requirements, and making pragmatic decisions when the playbook doesn't exist yet
- Strong critical thinking and problem‑solving - you question source data, challenge requirements, and translate ambiguous business problems into well‑structured data models rather than building the ticket as written
Nice to have
- E-commerce or grocery/retail domain experience
- Familiarity with marketing analytics data such as campaign, CRM, clickstream, or event‑tracking data (e.g., Braze, Mixpanel, GA4)
- Experience with a BI tool (Power BI, Tableau, Looker)
Position Requirements
10+ Years
work experience
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