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# Senior Data Engineer

- **Company:** Fresh Inc.
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $140,000.0 - $150,000.0
- **Contract:** Permanent contract
- **Skills:** Airflow, Automation of Tests, Business Intelligence Development, BigQuery, Clickstream, Code Reuse, Continuous Integration, Information Engineering, Data Infrastructure, Data Transformation, Dimensional Modeling, Data Flow Control, Google Analytics, Python (Programming Language), Performance Tuning, Power BI, Mixpanel, SQL Databases, Tableau (Software), Datadog, Scripting, Google Cloud, Data Ingestion, Snowflake, Git, Data Analytics, Looker Analytics, Data Pipelines
- **Published:** June 19, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=0b5a95adb8844b24

## About the Role

Do you have experience in System performance optimization?, * 3+ years in data engineering or analytics engineering

 * Hands-on BigQuery (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 yetStrong 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

 * Broader GCP ecosystem experience: Cloud Composer/Airflow, Dataflow, Pub/Sub, GCS, Datastream
 * 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)Data quality and observability tooling

## Description

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 BigQuery (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 dataContribute to platform and tooling decisions as we mature our data infrastructure


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