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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior DataOps Product Support Engineer - **Company:** UST Inc - **Location:** San Antonio, TX, United States - **Experience:** Expert - **Salary:** $96,000.0 - $117,000.0 - **Contract:** Temporary contract - **Skills:** Microsoft Access, Airflow, Business Analytics Applications, BigQuery, Cloud Engineering, Continuous Integration, Data Integration, Data Security, Data Systems, Database Queries, Monitoring of Systems, Identity and Access Management, Python (Programming Language), Operational Databases, DataOps, Cloudera, Software Deployment, SQL Databases, Tableau (Software), User Provisioning Software, Enterprise Data Management, Scripting, Google Cloud, Cloud Platform System, System Availability, Mttr, Gitlab, Kubernetes, Infrastructure Automation Frameworks, Apache Kafka, Terraform, Data Pipelines, Confluent, Databricks - **Published:** September 28, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=2c9787f1c70580e2 ## About the Role * Strong experience supporting production data platforms or analytics engineering environments * Hands-on experience with GCP services, especially BigQuery, Cloud Composer, GCS, and Dataproc * Strong SQL skills and the ability to investigate data issues directly in analytical platforms * Experience with Python or similar scripting languages for troubleshooting, automation, or operational tooling * Experience with incident management, production triage, root cause analysis, and operational support processes * Working knowledge of IAM, access provisioning, service accounts, and dataset-level security in cloud environments * Experience with CI/CD and infrastructure-as-code practices, preferably using GitLab and Terraform * Experience supporting data pipelines and orchestration frameworks in production * Ability to work across technical and business teams, including direct support for analysts and data consumers * Preferred Qualifications: * Familiarity with Databricks in an enterprise data platform setting * Experience supporting Tableau data source migrations or BI platform connectivity issues * Experience with data reconciliation and validation methodologies * Exposure to Confluent Cloud, Kafka, or event-driven data integrations * Experience defining or improving SLOs, ing thresholds, and operational metrics such as MTTD and MTTR * Experience with Google Cloud certifications (Associate Cloud Engineer, Professional Data Engineer) ## Description The Senior DataOps Product Support Engineer is responsible for production support, operational stability, incident response, and service reliability for Data Solutions workloads running on Google Cloud Platform. The engineer will support BigQuery, Cloud Composer, Dataproc, GCS, Pub/Sub, CI/CD deployment processes, access and IAM requests, and validation activities. What You'll Do * Provide production support for Data Solutions workloads deployed on GCP, ensuring high availability, operational stability, and timely incident resolution. * Monitor and support BigQuery, Cloud Composer, Dataproc, GCS, Pub/Sub, and related orchestration and processing components. * Troubleshoot failed pipelines, delayed data loads, orchestration failures, data freshness issues, and environment-specific deployment problems across dev, cert, and prod. * Investigate and resolve production incidents using logs, monitoring tools, SQL analysis, job history, and root cause analysis techniques. * Perform impact assessment, triage, escalation, and stakeholder communication for service interruptions and high-priority incidents. * Manage and audit GCP IAM roles, BigQuery dataset permissions, service account access, and directory group memberships in accordance with security and compliance requirements. * Support user and analyst access issues across BigQuery, Databricks, Tableau, and related data access channels. * Troubleshoot and validate data accuracy, completeness, and delivery across analytical datasets and tables. * Support production deployments and environment promotions using GitLab-based CI/CD processes and infrastructure changes managed through Terraform. This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required. ## 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) - [Fully Orchestrating Databricks from Airflow](https://www.wearedevelopers.com/videos/336-fully-orchestrating-databricks-from-airflow) - [GitLab CI pipelines for a whole company](https://www.wearedevelopers.com/videos/143-gitlab-ci-pipelines-for-a-whole-company) - [Reducing Cognitive Overload Through Platform Engineering](https://www.wearedevelopers.com/videos/679-reducing-cognitive-overload-through-platform-engineering) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence)