Senior Cloud ETL Developer | Plano, Texas, United States Senior Cloud ETL Developer Location: Plano, TX (Partial Remote) | Job Type: C2C About the Role Join our innovative data engineering team as a Senior Cloud ETL Developer, specializing in Google Cloud Platform (GCP) and BigQuery. You'll play a pivotal role in architecting, building, and optimizing enterprise-scale data pipelines for advanced analytics and reporting. Collaborate with diverse stakeholders to deliver cloud-native, scalable, and secure data solutions in a dynamic, growth-focused environment. Responsibilities - Design, build, and optimize robust ETL/ELT pipelines for both structured and unstructured data using GCP native services (BigQuery, Dataflow, Cloud Storage, Dataproc). - Develop and orchestrate automated data workflows utilizing Fivetran, Google DTS, and custom frameworks. - Implement advanced data modeling, partitioning, clustering, and cost/performance tuning in BigQuery. - Integrate a variety of data sources (SaaS, on-prem, cloud) with enterprise reporting tools such as MicroStrategy, Power BI, and Tableau. - Ensure high data quality, validation, observability, schema management, and reconciliation for enterprise-grade data environments. - Enforce data access controls, compliance standards, and security best practices using IAM, service accounts, and VPC-SC. - Design disaster recovery, backup, and high-availability strategies for critical data platforms. - Troubleshoot and resolve data integration issues, latency problems, and pipeline failures. - Mentor junior engineers and serve as a technical advisor for enterprise reporting and integration initiatives. - Collaborate with cross-functional teams including analytics, product owners, architects, and business stakeholders. Required Skills and Experience - Bachelor's degree in Computer Science, Information Systems, or related field. - 6-10+ years of hands-on ETL/Data Engineering experience. - 8-10+ years of advanced SQL development and data modeling expertise. - 8+ years of experience in data architecture for large-scale environments. - Proven expertise with GCP (BigQuery, Composer, Dataflow, Cloud Storage). - Practical experience with Fivetran, Google DTS, or similar cloud ingestion tools. - Skilled in enterprise reporting platforms-MicroStrategy preferred, plus Power BI/Tableau. - Track record in designing secure, governed, and high-performance data environments. Preferred Skills - Advanced SQL and stored procedures. - Proficiency in Python for pipeline development and orchestration scripting. - Experience with cloud cost optimization and FinOps practices. - Familiarity with streaming architectures (Pub/Sub to Dataflow). - Knowledge of data catalog tools (Dataplex, Collibra, Alation). Benefits - Partial remote flexibility in a collaborative, fast-paced environment. - Exposure to industry-leading data technologies and enterprise-scale projects. - Opportunities for career advancement, technical leadership, and continued learning. - Work with a team of high-caliber data professionals and thought leaders. How to Apply If you're passionate about building modern data platforms and have the expertise to drive large-scale GCP solutions, we want to hear from you. Apply today to join a forward-thinking team shaping the future of enterprise analytics.