Vanta Logo

Vanta

Senior Data Engineer

Reposted 12 Days Ago
Remote
Hiring Remotely in U.S.
190K-224K Annually
Senior level
Remote
Hiring Remotely in U.S.
190K-224K Annually
Senior level
Design, deploy, and maintain scalable data infrastructure and orchestration for analytics and ML; write optimized SQL over large warehouses; partner with engineering and product to structure source systems; maintain CDC pipelines; scale reporting and expose analytical datasets enterprise-wide while ensuring data management, security, and compliance.
The summary above was generated by AI

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. 

As a Data Engineer, you’ll be responsible for laying the foundation for a best-in-class analytics function. You’ll partner closely with our engineering team and business stakeholders to ensure that our analytics stack and processes meet the business needs today with an eye towards the future.

Visit our Vanta Engineering Blog to learn more about what our team is working on! 

What you’ll do as a Senior Data Engineer at Vanta:

  • Design and deploy data infrastructure needed to drive data-driven decision-making solutions

  • Design and implement complex data orchestration models, modeling metadata, scaling reporting tools for data science and ML products users

  • Be the company’s expert on data administration, data management and scalable data systems

  • Write highly tuned, scalable SQL queries running over large-scale, heterogeneous data warehouses

  • Work with the Product and Enterprise Engineering system teams to structure source systems for reporting consumption across the enterprise

  • Help maintain CDC pipelines to power customer reporting

  • Help develop front end applications to expose analytical data sets enterprise wide

How to be successful in this role:

  • Have at least four years of experience working with data and two years of experience in Software Engineering or a related field.

  • Have experience with common analytics tooling (e.g. Stitch/Fivetran, Snowflake/BigQuery/Redshift, dbt, Airflow, Dagster).

  • Have good working knowledge of AWS data infra systems and Terraform.

  • Bring a system-oriented and software engineering mindset to the Data Engineering practice. We’re looking to build frameworks that manage data, and minimize bespoke queries

  • Deep knowledge of crafting dimensional and fact models in modern data fashion

  • Have a passion for enabling the developer experience of data, and being obsessed with giving data super powers across the company.

  • Desire to lead the industry in security, anonymization, and compliance management when it comes to data warehousing

  • Open to using AI to amplify their skills and strengthen their work - demonstrating curiosity, a willingness to learn, and sound judgment in applying AI responsibly to improve efficiency and impact.

What you can expect as a Vanta’n:

  • Industry-competitive salary and equity

  • Comprehensive medical, dental, and vision coverage, with 100% of employee-only benefit premiums covered for most medical plans

  • 16 weeks fully-paid Parental Leave for all new parents

  • Health & wellness stipend

  • Remote workspace, internet, and cellphone stipend

  • Commuter benefits for team members who report to the SF and NYC office

  • Family planning benefits

  • Matching 401(k) contribution with immediate vesting

  • Flexible PTO policy, plus 80 hours of Sick Time

  • 11 company-paid holidays

  • Virtual team building activities, lunch and learns, and other company-wide events!

  • Offices in SF, NYC, London, Dublin, Tel Aviv, and Sydney

To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar-stage growth companies. Final offer amounts are determined by multiple factors and may vary based on candidate location, skills, depth of work experience, and relevant licenses/credentials.

#LI-remote

At Vanta, we are committed to hiring diverse talent of different backgrounds and as such, it is important to us to provide an inclusive work environment for all. We do not discriminate on the basis of race, gender identity, age, religion, sexual orientation, veteran or disability status, or any other protected class. As an equal opportunity employer, we encourage and welcome people of all backgrounds to apply.

About Vanta

We started in 2018, in the wake of several high-profile data breaches. Online security was only becoming more important, but we knew firsthand how hard it could be for fast-growing companies to invest the time and manpower it takes to build a solid security foundation. Vanta was inspired by a vision to restore trust in internet businesses by enabling companies to improve and prove their security. From our early days automating security monitoring for compliance standards like SOC 2, HIPAA and ISO 27001 to creating the world's leading Trust Management Platform, our vision remains unchanged. 

Now more than ever, making security continuous—not just a point-in-time check— is essential. Thousands of companies rely on Vanta to build, maintain and demonstrate their trust— all in a way that's real-time and transparent.

Referral Instructions

If you are being referred for the role, please contact that person to apply on your behalf.

 
 
 
HQ

Vanta San Francisco, California, USA Office

369 Hayes St, San Francisco, CA, United States, 94102

Similar Jobs

12 Days Ago
In-Office or Remote
92K-164K Annually
Senior level
92K-164K Annually
Senior level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Design, build, and operate enterprise data pipelines and Lakehouse data products on Azure. Lead migrations, implement medallion architectures, optimize Spark and distributed SQL workloads, enforce CI/CD and observability, and support production incident response while partnering with architects, data scientists, and stakeholders.
Top Skills: ArmAzure Ad / Entra IdAzure Data FactoryAzure Data Lake Storage Gen2Azure DatabricksAzure DevopsAzure Key VaultAzure MonitorAzure SqlAzure Synapse AnalyticsBashBicepDelta LakeKqlLog AnalyticsMicrosoft FabricPandasParquetPowershellPrivate EndpointsPysparkPytestPythonSpark SqlSsisSynapse Dedicated Sql PoolT-SqlTeradataTerraformUnity CatalogVnet
2 Days Ago
Easy Apply
Remote or Hybrid
United States
Easy Apply
134K-203K Annually
Senior level
134K-203K Annually
Senior level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Lead design and operation of large-scale data pipelines and data APIs. Build Spark/PySpark workflows on Databricks, optimize job performance, manage data quality and observability, and develop MCP servers and AI-agent integrations. Mentor engineers, define standards, support production incidents and on-call rotations, and collaborate with stakeholders to deliver scalable data platform products.
Top Skills: Apache IcebergApi GatewayAWSAws LambdaAws Rds/AuroraAzureDatabricksDatadogDbtFastapiFivetranGCPGoogle BigqueryLlms/Ai AgentsMcp ServersMs Sql ServerMySQLOraclePostgresPysparkPythonS3SecretsmanagerSnowflakeSnsSparkSplunkSQLSqs
9 Days Ago
In-Office or Remote
7 Locations
168K-297K Annually
Senior level
168K-297K Annually
Senior level
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Design and maintain data architecture and pipelines to support compliance and risk teams. Build and optimize data models, standardize metrics, and create data dictionaries. Implement data quality, lineage monitoring, AI-driven agents for false-positive reduction and automation, and participate in on-call rotations to ensure SLAs are met.
Top Skills: AirflowDatabricksDbtGitOmniPrefectPythonSnowflakeSQLTerraform

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account