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Staff Software Engineer, Data Platform (Contract)
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$100 - $130 an hour
Full-time
- The ideal candidate has a strong software engineering background and problem-solving ability along with cloud computing (AWS) and data engineering skill set with prior experience on technologies such as Snowflake, Airflow, dbt, Kafka, Spark, Dask, Python, and Tableau.
- Lead architectural design sessions for the modern data stack, emphasizing solutions that seamlessly integrate Snowflake, Databricks, Airflow, dbt, Great Expectations, and AWS data services.
- Collaborate closely with product and data governance leadership to comprehend intricate user needs and translate them into technical designs that leverage the power of Snowflake, Airflow, dbt, Terraform, DMS, Kafka and Great Expectations.
- Stay at the forefront of advancements in data engineering methodologies, particularly as they pertain to Snowflake, Databricks, and other modern data tools.
- Mentor technical team members in best practices for Snowflake, Databricks, Airflow, dbt, and AWS data services, promoting a culture of technical distinction and innovation.
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