About the job Senior Data Engineer
Senior Data Engineer
New York City, USA (Hybrid)
Full-time
Salary: $170,000 – $190,000 + Equity
About the Role
We are seeking a Senior Data Engineer to take ownership of a modern data platform and scale it into a high-performing, reliable infrastructure. This is a key role where you will define best practices, optimize performance, and enable data-driven decision-making across the organization.
Key Responsibilities
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Own and optimize the entire data platform (Snowflake or similar)
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Design, build, and maintain scalable ETL/ELT pipelines
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Implement monitoring and improve data reliability
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Standardize and optimize data models for reporting, dashboards, and ML use cases
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Enable secure and user-friendly data access across teams
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Collaborate with engineering and analytics teams to ensure data consistency
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Implement testing, CI/CD, and documentation best practices
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Drive infrastructure and tooling decisions
Key Impact Areas
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Redesign data models to improve efficiency and reduce redundancy
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Improve pipeline reliability and monitoring systems
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Optimize data warehouse costs
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Build data layers that support both technical and non-technical users
Requirements
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5+ years of experience in Data Engineering or Analytics Engineering
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Strong experience with Snowflake, BigQuery, or Redshift
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Advanced SQL skills with performance optimization experience
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Hands-on experience with dbt or similar tools
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Proven experience building and maintaining data pipelines
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Experience owning data infrastructure end-to-end
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Strong understanding of data quality and monitoring frameworks
Tech Stack / Skills
Required:
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Python
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SQL
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Data Warehousing
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ETL/ELT Pipelines
Nice to Have:
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R
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Data Visualization
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Statistical Analysis
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Strong communication skills
Ideal Candidate
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Strong ownership mindset and proactive approach
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Experience in fast-paced or high-growth environments
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Ability to work independently and drive initiatives
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Collaborative and solution-oriented
What's Offered
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Competitive salary + equity
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High-impact role with full ownership
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Opportunity to shape data infrastructure from the ground up
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Dynamic and collaborative environment