{"id":2481425,"url":"https://alion.io/job/vultr-senior-data-engineer","title":"Senior Data Engineer","company":{"id":58892,"name":"Vultr","domain":"vultr.com","url":"https://alion.io/company/vultr","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":79,"open_postings":13,"ghost_share":0,"stale_share":0.846,"repost_share":0,"time_to_fill_p50_days":45,"computed_at":"2026-10-14T06:34:16Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":116000,"max_usd":209000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":311},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"BigQuery","optional":false},{"name":"CI/CD","optional":false},{"name":"Composer","optional":false},{"name":"Dagster","optional":false},{"name":"dbt","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"Git","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Vultr","optional":false},{"name":"Apache Kafka","optional":true},{"name":"ClickHouse","optional":true},{"name":"Grafana","optional":true},{"name":"IAM","optional":true},{"name":"Least Privilege","optional":true},{"name":"LLM","optional":true},{"name":"Mimir","optional":true},{"name":"MySQL","optional":true},{"name":"PHP","optional":true},{"name":"Power BI","optional":true},{"name":"Prometheus","optional":true},{"name":"pySpark","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-13T20:45:31Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-14T18:57:20Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Who We Are\nVultr is on a mission to make high-performance cloud infrastructure easy to use, affordable, and locally accessible for enterprises and AI innovators around the world. With 33 global cloud data center locations, Vultr is trusted by hundreds of thousands of active customers across 185 countries for its flexible, scalable, global Cloud Compute, Cloud GPU, Bare Metal, and Cloud Storage solutions. In December 2024 Vultr announced an equity financing at a $3.5 billion valuation. Founded by David Aninowsky and self-funded for over a decade, Vultr has grown to become the world’s largest privately-held cloud infrastructure company.\nVultr Cares\n100% company-paid insurance premiums for employee medical, dental and vision plans.\n\n401(k) plan that matches 100% up to 4%, with immediate vesting\n\nProfessional Development Reimbursement of $2,500 each year\n\n11 Holidays + Paid Time Off Accrual + Rollover Plan\n\nCommitment matters to Vultr! Increased PTO at 3 year and 10 year anniversary + 1 month paid sabbatical every 5 years + Anniversary Bonus each year\n\n$500 stipend for remote office setup in first year + $400 each following year\n\nInternet reimbursement up to $75 per month\n\nGym membership reimbursement up to $50 per month\n\nCompany paid Wellable subscription\n\nJoin Vultr\nVultr is building a trusted enterprise data foundation in Google BigQuery. As our first dedicated Senior Data Engineer, you will build and operate the pipelines, transformations, and quality controls that turn operational data into reliable datasets for reporting and analytics.\nYou will work with BI, data science, business system owners, and Engineering. Engineering owns product data and source instrumentation; you will partner with them to bring that data into enterprise analytics. You will help shape data engineering standards within Vultr’s enterprise architecture.\nKey Responsibilties\nBuild and operate pipelines from operational systems into BigQuery, using incremental loading and change data capture where appropriate.\n\nDevelop bronze, silver, and gold datasets, including shared business entities and reporting metrics.\n\nAutomate data validation and source-to-target reconciliation. Ensure updates, deletes, and historical source corrections reach downstream datasets.\n\nMonitor pipeline health, handle exceptions and schema changes, and document recovery procedures and lineage.\n\nPartner with BI and data science teams to deliver documented, performant datasets.\n\nWork with Engineering and business system owners to resolve source-data gaps and define reliable data handoffs.\n\nPropose and implement data engineering standards for testing, deployment, security, and cost management within the agreed enterprise architecture.\n\nWhat success looks like\nIn your first several months, you will assess existing pipelines, establish repeatable engineering practices, and deliver production datasets for priority reporting needs. You will put initial quality controls and monitoring in place and demonstrate that historical source corrections are reflected accurately in downstream reporting.\nRequired qualifications\n5+ years of data engineering experience, including ownership of production pipelines.\n\nAdvanced SQL and strong Python skills.\n\nProduction BigQuery experience, including partitioning, clustering, query performance, and cost management.\n\nExperience with data transformation and orchestration tools such as dbt, Airflow, Cloud Composer, Dagster, or equivalents.\n\nExperience extracting from operational databases and handling incremental loads, updates, deletes, backfills, and historical corrections.\n\nStrong understanding of dimensional modeling and historical data tracking.\n\nExperience with automated data quality checks, reconciliation, monitoring, alerting, and recovery.\n\nExperience with Git, code review, automated testing, and CI/CD.\n\nAbility to work across Engineering, analytics, and business teams.\n\nPreferred qualifications\nExperience with MySQL, ClickHouse, Kafka, or Google Pub/Sub.\n\nFamiliarity with Parquet, storage efficiency, and Spark or PySpark.\n\nAbility to trace data definitions and business logic through application code or an ORM; familiarity with PHP is a plus.\n\nExperience with Salesforce, NetSuite, Power BI, or comparable systems.\n\nFamiliarity with IAM, service accounts, least-privilege access, and secure workload authentication.\n\nExperience with metadata, lineage, or data observability tools.\n\nExperience applying AI or automation to pipeline operations, incident investigation, or governed data access for LLM applications.\n\nExperience in cloud infrastructure, telecommunications, data centers, or another asset-intensive environment.\n\nOur environment\nOur data environment includes Google BigQuery, MySQL, ClickHouse, Kafka, Python, Power BI, Salesforce, and NetSuite. Engineering also stores some Prometheus-format metrics in Grafana Mimir and ingests them into ClickHouse. This role will partner with Engineering to bring relevant product data into governed enterprise datasets and help standardize how those datasets are transformed, tested, and operated.\nCompensation\n$155,000 - $180,000\nFinal compensation will vary depending on years of experience, background/skill set, location, and applicable laws.\nInclusion & Privacy\nWe are an equal opportunity employer and are committed to creating an inclusive environment for all employees. We welcome applications from individuals of all backgrounds and experiences, and we prohibit discrimination based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected status under applicable laws. Vultr will consider qualified applicants with arrest or conviction records in accordance with applicable laws and will not conduct a background check until after an offer of employment has been extended and accepted.\nWe also take your privacy seriously. We handle personal information responsibly and follow applicable laws, including U.S. privacy rules and India’s Digital Personal Data Protection Act, 2023. Your data is used only for legitimate business purposes and is protected with proper security measures.\nWhere allowed by law, applicants may request details about the data we collect, access or delete their information, withdraw consent for its use, and opt out of nonessential communications. For more details, please see our Privacy Policy.","description_format":"text","description_chars":6414,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity","Gym membership","Internet reimbursement","Professional development"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-13T22:51:22Z"}],"visa":[],"liveness":{"score":60,"band":"ok","label":"Likely open","p_open":1,"p_active":0.602,"p_room":1,"age_days":0,"expected_fill_days":45,"reasons":["conf:3","stale_co","win:early"],"computed_at":"2026-10-14T06:34:16Z"},"pay":null,"html_url":"https://alion.io/job/vultr-senior-data-engineer","json_url":"https://alion.io/job/vultr-senior-data-engineer.json","meta":{"generated_at":"2026-10-14T21:38:11Z","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":29051,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-15T00:00:00Z"}},"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":58892},"rest":"https://alion.io/mcp/rest/get_company?id=58892"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fvultr-senior-data-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%2Fvultr-senior-data-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%2Fvultr-senior-data-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/vultr-senior-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fvultr-senior-data-engineer"}]}