Data Engineer

Design and develop solution architecture for cloud data-enabled solutions, research and recommend technical approaches for solving complex data-related development and integration problems, engage with client stakeholders and delivery teams, and assist in designing multi-phased cloud data strategies.

Requirements

• 5+ years of data engineering and/or data warehousing experience
• Banking and/or financial services industry experience highly preferred
• 3+ years of deep experience building cloud data solutions (Azure, AWS, GCP, Snowflake) and migrating from on-prem to cloud
• 2+ years’ experience leading, managing and delivering complex cloud-based architecture engagements end-to-end with resources in multiple locations
• Hands-on experience with big data application development and/or with cloud data warehousing (e.g., Spark, Redshift, Snowflake, Azure SQL DW, Big Query)
• Hands on experience with BI solutions (e.g., PowerBI, Looker, Tableau, or other format for reporting)
• Experience implementing a variety of data warehousing concepts, methodologies, & best practices (e.g., Incremental, SCD, Star Schema, etc.)
• Proficient in a relevant programming language for cloud platform e.g., Python/Java/C#/Unix as well as SQL
• Working experience with version control platforms e.g., Git
• Strong communication skills and a working knowledge of agile development, including DevOps concepts

Benefits

• Exceptionally strong benefits package
• Flexible benefits selection
• Voluntary packages (additional Life, FSAs)
• Safe Harbor 401k plan
• 100% employer match of the first three percent and 50% of the fourth and fifth percent