We are seeking a Data Engineer (BI-focused) to join our lean Data and Intelligence team and help build a cloud-based data platform that serves as a single source of truth for business operations. In this role, you’ll have end-to-end ownership of the data lifecycle—from ingestion and transformation to modeling and visualization—helping unify data across systems and deliver reliable, timely insights that drive business decisions.

Key Responsibilities
Design, build, and maintain scalable, secure, and high-quality ELT data pipelines
Implement data validation and quality assurance processes to ensure data integrity
Perform exploratory data analysis and leverage built-in ML tools (e.g., BigQuery ML, Vertex AI) for forecasting and anomaly detection
Develop and maintain BI dashboards and reporting solutions to support data-driven decision-making
Collaborate with cross-functional teams to deliver impactful, data-driven solutions

Technical Qualifications

Education:

Bachelor’s degree in Computer Science, Engineering, or a related quantitative field
Experience:
5+ years in data engineering
5+ years working with relational databases and SQL
3+ years working with cloud-based data platforms (GCP preferred)
Core Technologies:
Cloud: GCP; AWS (nice to have)
Data Warehousing: BigQuery (primary); SQL Server, Snowflake
Databases: MSSQL, MySQL
Programming: Python, SQL
BI Tools: Tableau (required); Looker or Power BI (nice to have)
Other: Airflow, dbt, real-time data streaming, ELT tools (e.g., Fivetran, Airbyte, Stitch), GitHub, CI/CD pipelines, APIs
Core Competencies
Problem-solving: Strong analytical, debugging, and research skills to resolve process issues or data inconsistencies
Ownership: End-to-end ownership of data initiatives
Collaboration: Ability to work effectively with both technical and non-technical stakeholders
Accountability: Commitment to delivering accurate, reliable, and timely data products
Team velocity: Focus on improving development efficiency and accelerating deployment of data models