Data Analytics Engineer

💼 Employment Type: Contract💰 Visa: USC & GC Only We are seeking an experienced Data Analytics Engineer with strong hands-on experience in Google Cloud Platform (GCP), Big Query, Dataflow, Looker, and Python to design, develop, and optimize scalable data pipelines and analytics solutions. The ideal candidate will have a strong combination of data engineering and analytics expertise, with experience building reliable ETL/ELT pipelines, developing data models, optimizing Big Query, and delivering actionable insights through Looker dashboards and reports.

Key Responsibilities: Design, develop, and maintain scalable ETL/ELT pipelines using Dataflow, Dataform, and Big Query. Develop data models, transformations, and analytics workflows. Collaborate with data scientists, analysts, and business stakeholders to deliver insights through Looker dashboards and reports. Ensure data quality, reliability, governance, and consistency across multiple data sources. Optimize Big Query queries, partitions, and clustering for performance and cost efficiency. Develop Python scripts for automation, data processing, and API integrations. Implement CI/CD practices for data pipeline deployments. Monitor, troubleshoot, and improve data infrastructure performance and reliability. Document data models, pipelines, dashboards, and technical processes. Work closely with cross-functional teams to support data-driven business initiatives.

Required Skills & Experience: 6–10 years of overall Data Analytics Engineering experience. Strong hands-on experience with Google Cloud Platform (GCP).Strong experience with Big Query. Hands-on experience with Dataflow. Experience developing dashboards and reporting solutions using Looker. Strong programming experience with Python. Experience with ETL/ELT pipeline development. Strong understanding of data modeling and data transformation. Experience with data quality, governance, monitoring, and troubleshooting. Experience optimizing Big Query queries, partitioning, and clustering. Strong communication and collaboration skills.

Preferred Qualifications: Experience with Dataform. Experience with CI/CD for data engineering projects. Experience with API integrations and automation. Experience with cloud-based data engineering environments. Experience working with data scientists, analysts, and business stakeholders. Experience with enterprise-scale data platforms and analytics solutions. If you have strong experience with GCP, Big Query, Dataflow, Looker, and Python and are interested in a remote Data Analytics Engineer opportunity, we'd love to connect with you. Apply today!