Data Engineer

Responsibilities

• Build, implement, and maintain robust ETL/ELT pipelines that power reliable, timely data delivery across the organization
• Ingest, store, process, and analyze large datasets efficiently, ensuring data is always accessible and accurate for downstream consumers
• Design and maintain scalable data infrastructure and data models that support efficient storage, retrieval, and transformation
• Translate technical and functional requirements into detailed pipeline designs and automation workflows
• Prepare raw data into clean, consumable datasets for both technical and non-technical stakeholders
• Uphold data accuracy, integrity, privacy, security, and compliance across all systems you touch
• Provide limited on-call after-hours critical support on a rotating schedule with the team

Qualifications

• 2+ years of experience in data engineering, software engineering, or a related field
• Proficiency in SQL scripting and advanced database concepts, with hands-on experience working with large datasets
• Experience with Python for scripting, automation, and data processing workflows
• Familiarity with ETL tools and frameworks such as Fivetran, and experience with Snowflake for data warehousing
• Understanding of cloud computing (AWS) and data security best practices
• Understanding of CI/CD practices and experience working in Git
• A collaborative attitude and the ability to work across teams to solve complex data challenges
• Strong critical thinking and problem-solving skills, paired with a genuine curiosity for how data systems work
• The ability to work within a team to foster connectedness

Additional Requirements

• Must pass any and all required background checks
• Must be and remain compliant with all legal or company regulations for working in the industry
• Must be a minimum of 21 years of age