Senior Big Data Engineer - Hybrid

Genesis
10 is currently seeking a Senior Big Data Engineer for a hybrid position (2-3 days per week in the corporate office) with an Agricultural Cooperative located in Inver Grove Heights, MN. This is a 6+ month contract opportunity. Compensation: $67.00 - $82.00 per hour, W2.

• Utilize cloud data warehouses using Snowflake and AWS, ensuring optimal performance, security, and scalability of data pipelines.
• Develop, optimize, and maintain data processing scripts and applications using Python to support various big data ingestion tasks.
• Assist with architecting and implementing Extract‑Load‑Transform (ELT) processes, including AWS Lambda functions, to ensure efficient and accurate data loading between systems.
• Utilize Snowflake’s tasks, streams, stored procedures, dynamic tables, and dbt to model raw data into a consumable format for data engineers, analysts, and scientists.
• Understand business processes, data flows, and strategies for business units and work collaboratively on their data needs.
• Produce, maintain, and encourage high‑quality documentation to ensure transparency and understanding of data ingestion pipelines and solutions.
• Understand, monitor, and enhance data ingestion flows to enable reporting and insights development, including tracking data and job statuses.
• Mentor and guide other team members, fostering a culture of continuous learning and development.

• Bachelor or Graduate degree in Business Management, Information Management, Computer Science, or another STEM degree program.
• 5+ years in relevant data engineering positions.
• Experience with Snowflake, data pipelines, Kafka, Lambdas, Python, Terraform, and Miro.
• Experience with Azure Dev Ops as a code repository.
• ETL tools experience, preferably AWS Glue, AWS Lambda, and Apache Airflow.

• Strong understanding of modern, cloud‑based data architecture concepts and best practices, including Lakehouse architectures.
• Hands‑on experience using version control systems such as Git and CI/CD workflows and practices.
• Comfortable with ambiguity; able to take ownership, thrive with less oversight and process.
• Experience leading other team members and developing technical standards.
• Attention to detail and commitment to data and code quality.
• Strong analytical and problem‑solving skills and an ability to multi‑task.
• Experience with data observability and monitoring tools such as Dynatrace, Datadog, Splunk, Monte Carlo, and AWS Cloud Watch.

Only candidates available and ready to work directly as Genesis
10 employees will be considered for this position.

Genesis
10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.