Data Engineer II

2+ years of experience as a Data Engineer or in a similar role Experience with data modeling, data warehousing, and building ETL pipelines Extremely comfortable with SQL Excellent analytical abilities Comfortable with ambiguity in requirements and able to be a self-starter Excellence communication (verbal and written) and interpersonal skills -- the ability to communicate with both business and technical teams Experience working with Snowflake or similar data platforms (i.e. AWS Redshift, BigQuery) Strong knowledge of relational databases (e.g. MySQL, MariaDB, PostgreSQL, Aurora) and document-oriented databases (e.g. MongoDB, DynamoDB) Strong organizational skills and the ability to learn new technologies quickly Knowledge of a programming language (Go, Python, Javascript) - Preferred Familiar with ELT tools such as DBT, Fivetran, Meltano - Preferred Data Science experience (e.g. machine learning, artificial intelligence) - Preferred Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field - Preferred

Operate and maintain Subsplash data warehousing environment, consisting of DBT, Python, Terraform, AWS DMS, Snowpipe, and related ELT tools, functioning in an AWS Kubernetes infrastructure, and maintaining in GitLab SCM and CI/CD. Ensure PII and other sensitive data are properly handled within and while being transformed and brought into the data warehouse Build and maintain our ETL pipelines from production data stores into the data warehouse Monitor and optimize production data stores Assist in building and maintaining data visualizations, both internal-facing and customer-facing Collaborate with business analysts, product managers, and software engineers to build and verify hypotheses related to business intelligence