Senior Data Engineer

Vultr

. Build and operate pipelines from operational systems into BigQuery, using incremental loading and change data capture where appropriate .

Posted 10/13/2026full-timeRemote • United StatesSenior💰 $155,000 - $180,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and operating data pipelines, ensuring data quality and integrity through automated validation and monitoring. Proficient in advanced SQL, Python, and BigQuery, with a strong understanding of data transformation tools and practices.

Highest-signal resume keywords

Data Engineering ExperienceAdvanced SQL SkillsProduction BigQuery ExperienceData Transformation Tools ExperienceAutomated Data Quality Checks

ATS Keywords

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Hard Skills

SQLPythonBigQueryData TransformationData OrchestrationDimensional ModelingAutomated TestingMetadata ManagementData Quality ChecksData Reconciliation

Soft Skills

CollaborationProblem-SolvingCommunication

Tools & Technologies

DbtAirflowCloud ComposerGitMySQLClickHouseKafkaGoogle Pub/SubPower BISpark

Industry Keywords

Data PipelineIncremental LoadingChange Data CaptureData LineageData ObservabilityCloud InfrastructureTelecommunicationsAsset-Intensive Environment

Tech Stack

Tools & technologies

AirflowBigQueryCloudKafkaMySQLPHPPySparkPythonSparkSQL

About the role

Key responsibilities & impact

Build and operate pipelines from operational systems into BigQuery, using incremental loading and change data capture where appropriate
Develop bronze, silver, and gold datasets, including 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
Work with Engineering and business system owners to resolve source-data gaps and define reliable data handoffs
Propose and implement data engineering standards for testing, deployment, security, and cost management within the agreed enterprise architecture
Assess existing pipelines and establish repeatable engineering practices
Deliver production datasets for priority reporting needs
Put initial quality controls and monitoring in place
Demonstrate that historical source corrections are reflected accurately in downstream reporting

Requirements

What you’ll need

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, Dagster, or equivalents
Experience extracting from operational databases and handling 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
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; familiarity with PHP 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

Comp & perks

100% company-paid insurance premiums for employee medical, dental and vision plans
401(k) plan that matches 100% up to 4%, with immediate vesting
Professional Development Reimbursement of $2,500 each year
11 Holidays + Paid Time Off Accrual + Rollover Plan
Increased PTO at 3 year and 10 year anniversary
1 month paid sabbatical every 5 years
Anniversary Bonus each year
$500 stipend for remote office setup in first year + $400 each following year
Internet reimbursement up to $75 per month
Gym membership reimbursement up to $50 per month
Company paid Wellable subscription