Data Engineer (Tableau & GCP Experience REQUIRED) - Raleigh, NC OR Scotts Valley, CA

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 #J-18808-Ljbffr Pivotal Solutions