Senior Data Engineer

Our client is looking for a Senior Data Engineer to join their growing team of data experts. In this role, you will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross-functional teams. The ideal candidate is an experienced data pipeline builder and engineer who enjoys optimizing data systems and building them from the ground up. The Sr. Data Engineer will support our data analysts/scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our companys data architecture to support our next generation of products and data initiatives.

We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances.

Skills and Requirements:

• 7+ years of professional software development or data engineering experience
• 5+ years of SQL experience with dimensional data modeling & schema design in relational data warehouses
• 5+ years of experience in ETL/ELT pipeline design, implementation and maintenance with relational databases
• Strong proficiency in Python for data manipulation and scripting
• Design, maintain and optimize efficient, scalable end-to-end data pipelines that improve analytics speed and reliability
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
• Build processes supporting data transformation, data structures, metadata, dependency and workload management
• Experience deploying production systems in the cloud (AWS, Azure)
• Experience with encryption at rest, including multiple approaches and tradeoffs
• Storage Tooling: Snowflake, AWS Storage Services (S3, RDS, Glacier)
• ETL/BI Tooling: Astronomer, dbt, Airflow Domo, Tableau, PowerBI
• Advanced Engineering or Technical Degree
• Experience in Retail and/or Franchise operations