Senior Data Engineer
Vultr is an active independent cloud-infrastructure company providing global compute, GPU, bare-metal, storage, Kubernetes, and serverless AI inference services.
Maintainer signals as of 9/25/2026
About Vultr
Vultr provides globally available cloud infrastructure for developers, enterprises, and AI innovators, including Cloud Compute, Cloud GPU, Bare Metal, Cloud Storage, managed Kubernetes, and serverless inference.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will build and operate pipelines that bring operational data into BigQuery. You will develop curated datasets, automate validation and reconciliation, monitor pipeline health, and document recovery procedures and lineage. You will partner with engineering, BI, data science, and business system owners to resolve source-data gaps and establish data engineering standards.
Requirements
- 5+ years of data engineering experience, including ownership of production pipelines.
- Advanced SQL and strong Python skills.
- Production BigQuery experience, including partitioning, clustering, query performance, and cost management.
- Experience with data transformation and orchestration tools such as dbt, Airflow, Cloud Composer, or Dagster.
- Experience with operational database extraction, incremental loads, updates, deletes, backfills, and historical corrections.
- Strong understanding 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.
Responsibilities
- Build and operate pipelines from operational systems into BigQuery using incremental loading and change data capture.
- Develop bronze, silver, and gold datasets, shared business entities, and reporting metrics.
- Automate data validation and source-to-target reconciliation.
- Ensure updates, deletes, and historical source corrections reach downstream datasets.
- Monitor pipeline health, handle exceptions and schema changes, and document recovery procedures and lineage.
- Partner with BI and data science teams to deliver documented, performant datasets.
- Resolve source-data gaps and define reliable data handoffs with Engineering and business system owners.
- Propose and implement data engineering standards for testing, deployment, security, and cost management.
Benefits
- 100% company-paid medical, dental, and vision insurance premiums.
- 401(k) matching 100% up to 4% with immediate vesting.
- Professional development reimbursement of $2,500 per year.
- 11 holidays, paid time off accrual, and PTO rollover.
- Increased PTO at three- and ten-year anniversaries, a paid one-month sabbatical every five years, and an 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.