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Vultr
Vultr
201 – 500 Employees
Artificial IntelligenceB2BHardware
Vultr is a global cloud infrastructure company that provides developers and businesses with on-demand computing, storage, networking, and database services. Its platform includes virtual machines, bare-metal servers, GPU-accelerated infrastructure, managed databases, object and block storage, Kubernetes, and deployable marketplace applications. With support for AMD and NVIDIA GPUs, fast networking, and infrastructure across more than 32 data center regions, Vultr serves software, artificial intelligence, and high-performance computing workloads through developer-focused APIs and scalable cloud tools.
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Senior Data Engineer, BigQuery

Build reliable BigQuery pipelines and governed datasets for Vultr’s global cloud infrastructure platform. Partner with Engineering, business intelligence, and data science teams to support enterprise analytics.

USUnited States
$155,000 – $180,000 / year
RemoteFull-timeSeniorEnglish RequiredData Engineer
AirflowBigQueryCloudKafkaMySQLPHPPySparkPythonSparkSQL

Description

  • Build and maintain operational data pipelines into BigQuery, using incremental loads and change data capture as needed.
  • Create bronze, silver, and gold datasets, including shared business entities and reporting metrics.
  • Automate data validation and reconciliation between source systems and target datasets.
  • Propagate updates, deletions, and historical source corrections to downstream datasets.
  • Monitor pipeline health, manage exceptions and schema changes, and document recovery procedures and data lineage.
  • Work with business intelligence and data science teams to provide documented, high-performance datasets.
  • Coordinate with Engineering and business system owners to address source-data gaps and define dependable data handoffs.
  • Set and implement engineering standards for testing, deployment, security, and cost management within the agreed enterprise architecture.
  • Review existing pipelines and establish repeatable engineering practices.
  • Deliver production datasets for priority reporting needs.
  • Introduce initial data quality controls and monitoring.
  • Verify that historical source corrections appear accurately in downstream reporting.

Requirements

  • At least five years of data engineering experience, including responsibility for production pipelines.
  • Advanced SQL skills and strong Python proficiency.
  • Production experience with BigQuery, including partitioning, clustering, query performance, and cost control.
  • Experience with data transformation and orchestration tools such as dbt, Airflow, Cloud Composer, Dagster, or equivalents.
  • Experience extracting data from operational databases and managing incremental loads, updates, deletions, backfills, and historical corrections.
  • Strong grasp of dimensional modeling and historical data tracking.
  • Experience with automated data quality checks, reconciliation, monitoring, alerting, and recovery.
  • Experience with Git, code review, automated testing, and CI/CD.
  • Ability to work across Engineering, analytics, and business teams.
  • Experience with MySQL, ClickHouse, Kafka, or Google Pub/Sub.
  • Familiarity with Parquet, storage efficiency, and Spark or PySpark.
  • Ability to trace data definitions and business logic through application code or an ORM; PHP familiarity is a plus.
  • Experience with Salesforce, NetSuite, Power BI, or comparable systems.
  • Familiarity with IAM, service accounts, least-privilege access, and secure workload authentication.
  • Experience with metadata, lineage, or data observability tools.
  • Experience applying AI or automation to pipeline operations, incident investigation, or governed data access for LLM applications.
  • Experience in cloud infrastructure, telecommunications, data centers, or another asset-intensive environment.

Benefits

  • The company covers 100% of employee medical, dental, and vision insurance premiums.
  • 401(k) matching at 100% of contributions up to 4%, with immediate vesting.
  • $2,500 annual professional development reimbursement.
  • 11 holidays, accrued paid time off, and a rollover plan.
  • Additional paid time off at the three- and ten-year anniversaries.
  • One month of paid sabbatical every five years.
  • Annual anniversary bonus.
  • Remote office setup stipend of $500 in the first year and $400 each following year.
  • Internet reimbursement up to $75 per month.
  • Gym membership reimbursement up to $50 per month.
  • Company-paid Wellable subscription.

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