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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # GCP Data Engineer - **Company:** Innova Software Services Inc. - **Location:** New York, NY, United States (Remote available) - **Experience:** Expert - **Salary:** $150,000.0 - $210,000.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Airflow, Business Analytics Applications, Data Analysis, Big Data, Software Bug Management, Cloud Database, Cloud Storage, Code Review, Data Validation, Information Engineering, Data Governance, Data Integrity, Extract Transform Load (ETL), Data Transformation, Data Migration, Data Warehousing, Software Debugging, DevOps, Data Flow Control, Apache Hadoop, Identity and Access Management, Python (Programming Language), Meta-Data Management, Microsoft SQL Server, Oracle (Applications), Performance Tuning, Query Optimization, Cloud Services, DataOps, Cloudera, Software Deployment, SQL Databases, Teradata SQL, Strategies of Testing, User-Centered Design, Enterprise Data Management, Data Logging, Google Cloud, Sql Optimization, Google Bigquery, Data Pipelines, Legacy Systems - **Published:** August 22, 2026 - **Apply:** https://www.careerjet.com/jobad/us8fa556078101dafc429b454cf65c3259 ## About the Role Support production deployments, troubleshooting, performance tuning, and operational excellence. Required Skills 10+ years of experience in Data Engineering, Analytics, Data Warehousing, and Cloud Data Platforms. Strong hands-on Google Cloud Platform (GCP) experience. Strong hands-on experience with Google BigQuery. Strong hands-on experience with DBT Migration. Strong experience with Cloud Composer / Apache Airflow. Strong hands-on Python development experience. Advanced SQL development, debugging, and performance tuning expertise. Experience with large-scale Data Migration and Data Modernization programs. Strong understanding of data modeling, ETL/ELT frameworks, and data warehousing concepts. Experience working with structured and semi-structured datasets. Knowledge of GCP services including Cloud Storage, Dataflow, Dataproc, IAM, Monitoring, and Logging. Experience with CI/CD pipelines and cloud DevOps practices. Understanding of Agile delivery methodologies. Preferred Qualifications Experience in Banking, Financial Services, or Wealth Management. Exposure to Data Quality, Data Governance, and Metadata Management. Knowledge of QA processes, test-case creation, defect management, and data validation. GCP Professional Data Engineer Certification preferred. Experience migrating from Teradata, Hadoop, Oracle, SQL Server, or similar legacy platforms to GCP. Soft Skills Excellent client-facing communication skills. Strong stakeholder-management capabilities. Ability to work effectively with distributed teams. Strong analytical and problem-solving skills. High accountability for delivery outcomes. Ability to manage multiple workstreams in a fast-paced environment. Mandatory Candidate Screening ## Description We are seeking an experienced Senior GCP Data Engineer to lead large-scale cloud data modernization, migration, and analytics initiatives on Google Cloud Platform (GCP). This is a senior, client-facing role requiring strong hands-on expertise in Google BigQuery, DBT Migration, Cloud Composer/Apache Airflow, Python, Advanced SQL, and enterprise Data Migration. The candidate will serve as a technical anchor, partnering with business stakeholders, architects, QA teams, and distributed delivery teams to successfully execute complex data engineering and analytics initiatives. Key Responsibilities Lead end-to-end design and delivery of GCP-based data engineering and migration solutions. Design, develop, and optimize scalable data pipelines using Cloud Composer / Apache Airflow and Python. Build and manage enterprise data warehouse and analytics solutions using Google BigQuery. Lead and support DBT migration and data transformation initiatives. Perform complex SQL troubleshooting, query optimization, and data validation across large datasets. Drive data migration initiatives from legacy platforms to GCP. Ensure data integrity, quality, security, and regulatory compliance. Analyze data to identify quality issues, transformation requirements, and optimization opportunities. Collaborate with business users, data architects, QA teams, and other stakeholders. Review code and enforce data engineering best practices. Provide technical leadership to development teams. Define testing strategies and support data reconciliation and defect resolution., Hands-on Cloud Data Engineering experience Google BigQuery GCP DBT Migration Cloud Composer / Apache Airflow Python Advanced, SQL Data Migration / Modernization, Senior Data Engineer Needed For Growing Insurance Tech Company! This Jobot Job is hosted by: Reed Kellick Are you a fit? Easy Apply now by clicking the "Apply" button and sendin… + 5 days ago, Role: Sr. GCP Data Engineer Location: New Jersey/ New York Role Summary This is Client-Facing, Onshore role, Senior GCP Data Engineering Lead will be responsible for leading … + 7 days ago, Role: Sr. GCP Data Engineer Location: New Jersey/ New York Role Summary This is Client-Facing, Onshore role, Senior GCP Data Engineering Lead will be responsible for leading … + 14 hours ago + Apply easily + ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [The Cloud is Calling: Answer with In-Demand Skills](https://www.wearedevelopers.com/videos/945-the-cloud-is-calling-answer-with-in-demand-skills) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) ## Related Articles - [Got AI ideas but no money? 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