{"id":2772133,"url":"https://alion.io/job/ust-senior-dataops-product-support-engineer","title":"Senior DataOps Product Support Engineer","company":{"id":1774626,"name":"UST","domain":"ust.com","url":"https://alion.io/company/ust-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"RippleHire","truth_index":null},"role":"Support","role_family":"Support","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Antonio, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":96000,"max":117000,"currency":"USD","period":"year","gross":null,"usd_annual":117000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"BigQuery","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"GCP","optional":false},{"name":"GitLab","optional":false},{"name":"Google BigQuery","optional":false},{"name":"IAM","optional":false},{"name":"Incident Management","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"Terraform","optional":false},{"name":"Apache Kafka","optional":true}],"status":"live","first_seen_at":"2026-09-29T00:00:00Z","employer_posted_date":"2026-10-17","last_verified_at":"2026-10-17T16:24:56Z","board_verified":true,"closed_at":null,"days_open":18,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":18},"description":"Senior DataOps Product Support Engineer\nThe Role\nThe 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. \nWhat You’ll Do\n··Provide production support for Data Solutions workloads deployed on GCP, ensuring high availability, operational stability, and timely incident resolution.\n··Monitor and support BigQuery, Cloud Composer, Dataproc, GCS, Pub/Sub, and related orchestration and processing components. \n·Troubleshoot failed pipelines, delayed data loads, orchestration failures, data freshness issues, and environment-specific deployment problems across dev, cert, and prod. \n·Investigate and resolve production incidents using logs, monitoring tools, SQL analysis, job history, and root cause analysis techniques. \n·Perform impact assessment, triage, escalation, and stakeholder communication for service interruptions and high-priority incidents. \n··Manage and audit GCP IAM roles, BigQuery dataset permissions, service account access, and directory group memberships in accordance with security and compliance requirements.\n·Support user and analyst access issues across BigQuery, Databricks, Tableau, and related data access channels. \n·Troubleshoot and validate data accuracy, completeness, and delivery across analytical datasets and tables. \n·Support production deployments and environment promotions using GitLab-based CI/CD processes and infrastructure changes managed through Terraform.\nThis position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required.\nWhat You Need\n·Strong experience supporting production data platforms or analytics engineering environments\n·Hands-on experience with GCP services, especially BigQuery, Cloud Composer, GCS, and Dataproc\n·Strong SQL skills and the ability to investigate data issues directly in analytical platforms\n·Experience with Python or similar scripting languages for troubleshooting, automation, or operational tooling\n··Experience with incident management, production triage, root cause analysis, and operational support processes\n·Working knowledge of IAM, access provisioning, service accounts, and dataset-level security in cloud environments\n·Experience with CI/CD and infrastructure-as-code practices, preferably using GitLab and Terraform\n·Experience supporting data pipelines and orchestration frameworks in production\n·Ability to work across technical and business teams, including direct support for analysts and data consumers\n··Preferred Qualifications:\n··Familiarity with Databricks in an enterprise data platform setting\n·Experience supporting Tableau data source migrations or BI platform connectivity issues\n·Experience with data reconciliation and validation methodologies\n·Exposure to Confluent Cloud, Kafka, or event-driven data integrations\n·Experience defining or improving SLOs, ing thresholds, and operational metrics such as MTTD and MTTR\n··Experience with Google Cloud certifications (Associate Cloud Engineer, Professional Data Engineer)\nLocation & Compensation\nCompensation 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.\nRole Location: Texas\nCompensation Range: $96,000-$117,000\nWho We Are\nSince 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 .\nBenefits\nFull-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.\nPart-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.\nFull-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.\nPart-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year).\nAll 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.\nEqual Employment Opportunity Statement\nUST is an Equal Opportunity Employer.\nAll qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other applicable characteristics protected by law. We will consider qualified applicants with arrest or conviction records in accordance with state and local laws and “fair chance” ordinances.\nUST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance.\n#UST","description_format":"text","description_chars":7014,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Life insurance","Retirement plans","Vision insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","IT Outsourcing & Dedicated Teams"],"lifecycle":[{"event":"open","at":"2026-10-17T06:42:33Z"}],"visa":[],"liveness":{"score":35,"band":"fade","label":"Fading","p_open":1,"p_active":0.634,"p_room":0.55,"age_days":18,"expected_fill_days":14,"reasons":["conf:0","win:tail","comp:brand"],"computed_at":"2026-10-17T17:24:01Z"},"pay":{"stated_usd_annual":117000,"is_top_pay":true},"html_url":"https://alion.io/job/ust-senior-dataops-product-support-engineer","json_url":"https://alion.io/job/ust-senior-dataops-product-support-engineer.json","meta":{"generated_at":"2026-10-17T17:24:01Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":23943,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1774626},"rest":"https://alion.io/mcp/rest/get_company?id=1774626"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fust-senior-dataops-product-support-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fust-senior-dataops-product-support-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fust-senior-dataops-product-support-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/ust-senior-dataops-product-support-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fust-senior-dataops-product-support-engineer"}]}