Senior DataOps Product Support Engineer

UST Inc
San Antonio, TX, United States
5 days ago
Apply on www.indeed.com
Prepare application

Role details

Contract type
Temporary contract
Employment type
Part-time / full-time
Experience level
Expert
Compensation
$96,000.0 - $117,000.0
Working hours
Regular working hours
Job source

Tech stack

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
+22 more
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

Job 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.

Requirements

  • 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)

Benefits & conditions

Compensation can differ depending on factors including but not limited to the specific office location, role, skill set, education, and level of experience. UST provides a reasonable range of compensation for roles that may be hired in various U.S. markets as set forth below., Full-time, regular employees accrue a minimum of 10 days of paid vacation per year, receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year), 10 paid holidays, and are eligible for paid bereavement leave and jury duty. They are eligible to participate in the Company’s 401(k) Retirement Plan with employer matching. They and their dependents residing in the US are eligible for medical, dental, and vision insurance, as well as the following Company-paid Employee Only benefits: basic life insurance, accidental death and disability insurance, and short- and long-term disability benefits. Regular employees may purchase additional voluntary short-term disability benefits, and participate in a Health Savings Account (HSA) as well as a Flexible Spending Account (FSA) for healthcare, dependent child care, and/or commuting expenses as allowable under IRS guidelines. Benefits offerings vary in Puerto Rico.

Part-time employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year) and are eligible to participate in the Company’s 401(k) Retirement Plan with employer matching.

Full-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year) and are eligible to participate in the Company’s 401(k) program with employer matching. They and their dependents residing in the US are eligible for medical, dental, and vision insurance.

Part-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year).

All US employees who work in a state or locality with more generous paid sick leave benefits than specified here will receive the benefit of those sick leave laws., Compensation range: $96,000.00 to $117,000.00 per year

About the company

Since 1999, UST has worked side by side with the world’s best companies to make a powerful impact through transformation. Headquartered in the United States, UST is powered by technology, driven by AI, inspired by people, and led by our purpose, we partner with our clients from design to operation. Our AI-driven digital solutions, proprietary platforms, engineering, R&D, products, and innovation ecosystem turn core challenges into impactful, disruptive business outcomes. With deep industry knowledge and a future-ready mindset, we infuse expertise, innovation, and agility into our clients’ organizations-delivering measurable value and positive lasting change for them, their customers, and communities around the world. Together, with 30,000+ employees in 30+ countries, we build for boundless impact-touching billions of lives in the process. Visit us at ., UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact-touching billions of lives in the process.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.indeed.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:19 min

Introduction to Apache Airflow for advanced orchestration

Alan Mazankiewicz · LIVE

3:14 min

Testing and environment management in GitLab CI

Martin Beránek · LIVE

3:08 min

Aligning engineering processes with core business impact metrics

Chris Riley · World Congress 2021

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

1:11 min

Deploying and running Airflow in cloud environments

Alan Mazankiewicz · LIVE

2:30 min

Feature requests for future GitLab CI versions

Martin Beránek · LIVE

Videos

See all

Related articles

See all