Sr. Data Engineer

PadSplit is seeking a Senior Data Engineer to enhance its analytics platform in a remote capacity. The role involves daily tasks such as opening and merging pull requests for Dagster jobs, dbt models, and documentation, as well as building and debugging Python pipelines for various data operations. The engineer will also manage Airbyte connections, monitor production runs, and handle backfills and incremental data catch-ups. Key tools and technologies include Dagster or Airflow, dbt, Snowflake, Python, Airbyte, and AWS, with occasional use of Terraform for infrastructure adjustments. Candidates should possess a strong understanding of data modeling concepts, including dimensions and facts, and be adept at making decisions regarding data refresh strategies. Proficiency in Python and familiarity with AWS services are essential for navigating complex data flows and managing access. This position is ideal for someone who values code quality and collaboration, as the role emphasizes writing clear pull requests and providing thoughtful code reviews.