Sr. Data Engineer

Job Title: Sr. Data Engineer
Location-Type: Remote (must work CST or EST hours)
Start Date: ASAP
Duration: Contract-to-Hire, 6 months
Compensation Range: $65-85/ hr W2
Benefits: Eligible for Health, Dental, Vision, and 401K
Visa Sponsorship: Not eligible for visa sponsorship
Job Description:
The client is seeking a hands-on Sr. Data Engineer to design, build, and maintain scalable data ingestion pipelines and optimize a Snowflake-based data warehouse environment supporting procurement and supply chain data operations.
Job Summary
•Design, build, test, and implement scalable data pipelines using Python and SQL
•Maintain and optimize the organization's Snowflake data warehouse, including data ingestion and query performance tuning
•Extract data from APIs using Python and AWS Lambda, and automate workflows using AWS Airflow
•Perform analysis and critical thinking to troubleshoot data-related issues and implement data quality checks and scripts
•Collaborate with data engineers and architects to develop new pipelines and optimize existing ones
•Maintain code via CI/CD processes within an Azure DevOps platform
•Support CDC and batch ingestion processes, including cutover activities to ensure seamless data continuity for downstream business users
Minimum Requirements:
•7 years of experience in Data Engineering with a focus on building and implementing scalable data ingestion pipelines
•Advanced proficiency in Python (10 years preferred) and SQL (10 years preferred), with correct syntax at a senior level
•6 years of hands-on Snowflake experience, including data ingestion, architecture, and query performance optimization
•Experience with AWS services including Lambda, Airflow, Glue, S3, and SNS
•Familiarity with both CDC and batch processing approaches for data replication
•Experience owning data pipelines end-to-end using Fivetran or a comparable data ingestion tool
Preferred Qualifications:
•Experience with DBT for pipeline and data model development
•Background supporting large-scale data migrations, including SQL Server cutover projects
•Experience working within large enterprise environments
•Strong communication skills with the ability to work autonomously, adapt to shifting timelines, and remain receptive to feedback