Staff Data Engineer - Remote (US Based)

April 12

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Description

• Develop advanced data pipelines leveraging dbt, Airflow, and Snowflake, prioritizing performance optimization and data integrity using Great Expectations • Lead architectural design sessions for our modern data stack, ensuring seamless integration with Snowflake, Airflow, dbt, Great Expectations, and AWS data services • Collaborate with data science and product management teams to design, prototype, and launch new data products swiftly • Tackle intricate challenges with innovative, streamlined solutions, prioritizing reliability, scalability, quality, and cost-effectiveness • Establish processes for data transformation, metadata management, and workload optimization • Partner with the team to conduct root cause analyses and audit internal and external data and processes to address specific business inquiries

Requirements

• Master’s (or B.S. with industry experience) in math, statistics, computer science, or related field • 6+ years in Dimensional Data Warehousing/Data Modeling and ‘Big Data’ • 6+ years in pivotal Software/Data Engineering roles, with expertise in Snowflake, Airflow, dbt, and AWS • Proficient in Python and SQL for complex data operations and transformations • Experienced in data quality assurance frameworks, particularly Great Expectations • Collaborates with data analytics to align business needs • Familiar with AWS infrastructure • Strong problem-solving skills for agile environments • Excellent communication and teamwork • Curious and passionate about data and problem-solving • Challenges data validity and assumptions

Benefits

• 100% Remote