Data Engineer

Role Overview 

We need an experienced Data Engineer to build and maintain reliable, scalable data pipelines and warehouse models on Snowflake. You will turn raw data from many sources into trusted datasets for analytics, reporting, and downstream applications. 

Key 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. 

Required Qualifications 

• 7+ years of experience in data engineering or a closely related field. 

• Strong Python skills and experience with scripting languages (for example Bash). 

• Advanced SQL, including complex joins, window functions, and performance tuning. 

• Hands-on experience with Snowflake (warehouses, stages, tasks, streams, role-based access). 

• Solid understanding of data warehousing, dimensional modeling, and ETL/ELT patterns. 

Preferred Qualifications 

• Experience with orchestration tools (for example Airflow) and transformation frameworks (for example dbt). 

• Familiarity with AWS or GCP data services. 

• Exposure to data governance, security, and privacy practices. 

Compensation, Benefits and Duration

Minimum Compensation: USD 48,000
Maximum Compensation: USD 168,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is available for independent contractors
No applications will be considered if received more than 120 days after the date of this post.