Senior Data Engineer
Everforth CyberCoders
New York, NY, United States
2 months ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
$150,000.0 - $185,000.0
Working hours
Regular working hours
Job source
Tech stack
Amazon Web Services
Data Analysis
Big Data
Data Infrastructure
Extract Transform Load (ETL)
Data Systems
Data Warehousing
Python (Programming Language)
Power BI
SQL Databases
Tableau (Software)
Data Ingestion
+3 more
Snowflake
Backend
Data Pipelines
Job description
We’re partnering with a fast-growing company at the intersection of data, analytics, and real-world consumer insights. Their platform processes large-scale datasets to power reporting, analytics, and business decision-making across multiple teams.
They’re looking for a Senior Data Engineer to own the full data lifecycle, from ingestion and modeling through to enabling business-facing analytics.
What You’ll Do
- Build and maintain scalable data pipelines across batch and near real-time workflows
- Design and optimize data models in Snowflake for analytics and reporting
- Develop and manage transformation workflows using dbt
- Own data ingestion processes using modern ELT tools and frameworks
- Partner with business stakeholders to translate requirements into data models and insights
- Support dashboards and reporting workflows (Sigma or other BI tools)
- Establish best practices for data quality, governance, and documentation
- Improve performance, reliability, and scalability of the data platform
Requirements
Do you have experience in Snowflake?, * Strong experience with SQL and Python
- Hands-on experience with Snowflake and dbt (required)
- Experience building and maintaining modern ETL/ELT pipelines
- Experience working with cloud platforms (AWS preferred)
- Strong understanding of data modeling and analytics engineering best practices
- Experience working cross-functionally with business stakeholders
Nice to Have
- Experience with Sigma Computing or similar BI tools
- Background in analytics, BI, or reporting-heavy environments
- Experience with Fivetran or similar ingestion tools
- Experience with Tableau or Power BI
- Exposure to digital advertising, media, or large-scale consumer data
Why This Role
- High visibility across business and leadership teams
- Ownership of both backend data systems and reporting layer
- Modern data stack (Snowflake, dbt, cloud)
- Opportunity to directly impact how the business uses data
Benefits & conditions
Pulled from the full job description
- Health insurance
- 401(k) matching
- Paid time off
- Vision insurance
- Dental insurance, * Competitive base + bonus
- Medical, dental, and vision
- 401k with match
- Generous PTO
- Professional development budget
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