Data Engineer | Onshore
Photon•United States,
•$47,000 - $165,000
About The Position
Build and maintain reliable, scalable data pipelines and warehouse models on Snowflake. Transform raw data from multiple sources into trusted datasets for analytics, reporting, and downstream applications.
Requirements
- At least 7 years of experience in data engineering or a closely related field.
- Strong Python skills and experience with scripting languages such as Bash.
- Advanced SQL skills, including complex joins, window functions, and performance tuning.
- Hands-on experience with Snowflake warehouses, stages, tasks, streams, and role-based access.
- Solid understanding of data warehousing, dimensional modeling, and ETL/ELT patterns.
Nice To Haves
- Experience with orchestration tools such as Airflow and transformation frameworks such as dbt.
- Familiarity with AWS or GCP data services.
- Exposure to data governance, security, and privacy practices.
Responsibilities
- Design, build, and operate batch and incremental data pipelines using Python and SQL.
- Develop and optimize data models and transformations in Snowflake.
- Write automation and operational scripts to orchestrate, monitor, and troubleshoot data workflows.
- Implement data quality checks, validation, lineage, and alerting.
- Tune query performance and manage warehouse cost and resource usage.
- Collaborate with analysts, data scientists, and application teams to understand requirements and deliver datasets.
- Document pipelines, schemas, and data contracts.
Benefits
- Medical, vision, and dental benefits are available to full-time employees.
- 401k retirement plan available to full-time employees.
- Variable pay/incentives available to full-time employees.
- Paid time off available to full-time employees.
- Paid holidays available to full-time employees.
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What This Job Offers
Career Level
Senior
Education Level
No Education Listed
