JPC - 206873 - Senior Cloud ETL Developer

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.