Front Logo

Front

Staff Data Engineer

Posted 14 Days Ago
Be an Early Applicant
In-Office
San Francisco, CA, USA
237K-270K Annually
Senior level
In-Office
San Francisco, CA, USA
237K-270K Annually
Senior level
Design, build, and maintain scalable analytics pipelines and data models; ensure data quality, reliability, and security; enable self-service data access; implement monitoring and logging; collaborate with analysts, data scientists, and stakeholders; evaluate and manage data tools and vendors; apply AI tools to improve development and data reliability.
The summary above was generated by AI

Front is the customer operations platform built for B2B complexity, keeping every team, tool, and customer conversation in sync so companies can scale without losing connection. Others handle simple interactions. Front handles the coordination and context behind complex B2B customer relationships. Over 9,000 companies, including Uber Freight, Navan, and Stripe, rely on Front because it's the only one that can run the operational layer that makes customer-facing work actually succeed.

Backed by Sequoia Capital and Salesforce Ventures, Front has raised $204M from leading venture capital firms and independent investors including top executives at Atlassian, Okta, Qualtrics, Zoom, and PagerDuty. Front has received numerous Great Place to Work accolades, including Built In's 100 Best Midsize Places to Work in SF 2025, Top Places to Work by USA Today 2025, Y Combinator's list of Top Companies in 2023, #4 on Fortune’s Best Workplaces in the Bay Area™ ,Inc. Magazine's 2022 Best Workplaces list, and Forbes Best Startup Employers 2022 List.

Front’s Data team builds the analytics infrastructure that powers decision-making across the company — from product insights to GTM performance. We’re looking for a Staff Data Engineer to own critical parts of that platform end-to-end: designing scalable pipelines and data models, raising the bar on reliability and data quality, and enabling self-serve data access for teams across Front.

This is a high-impact role for someone who loves turning complex, messy inputs into trusted datasets, and who can partner closely with analysts, data scientists, and product stakeholders to deliver data systems that are fast, secure, and built to last. You’ll thrive here if you’re hands-on, pragmatic, and excited to set technical direction while still shipping.

What will you be doing?

  • Architect data pipelines that provide fast, optimized, and robust end-to-end solutions for internal users of the analytics infrastructure

  • Automate manual processes and create a platform in favor of self-service data consumption

  • Own the quality of our analytics data and ensure the Data Team’s SLAs are met on a timely basis

  • Design data schemas and fine-tune queries around large, complex data sets

  • Interface with data scientists, analysts, and non-data stakeholders to understand their needs and promote best data practices

  • Keep our data available and secure across multiple data centers and regions

  • Implement a robust monitoring & logging framework that guarantees traceability and audibility

  • Vet tools and technologies for the most viable solution for each problem at hand, and manage tools and data vendors involved

  • Bring strong AI fluency to how you build and operate — using AI tools thoughtfully to accelerate development, improve quality, and unlock new approaches to data reliability and automation

What skills and experience do you need?

  • BS/BA in Computer Science, Mathematics, or a relevant technical field (or equivalent practical experience)

  • At least 5 years of experience as a Data Engineer, or in a role with deep ETL expertise

  • Experience managing a Snowflake data warehouse

  • Strong programming fundamentals, with an ability to write modular, maintainable code

  • Advanced SQL and Python skills and strong comfort working with large datasets

  • Working knowledge of at least one big data technology (HDFS, EMR, Redshift, Spark, Flink, or Presto)

  • Experience with workflow management tools (preferably Airflow)

  • A proactive, service-oriented mindset with a “can-do” approach and positive attitude

  • Strong ability to manage multiple projects/tasks across multiple stakeholders

Front operates on a hybrid model — we come together in the office each Tuesday, Wednesday, and Thursday to collaborate and stay connected.

What we offer

  • Competitive salary

  • Equity (we are post-series D & backed by some of the best VCs in the US)

  • Private health insurance, including plan options at no cost to employees

  • Paid parental leave

  • Flexible time off policy

  • Flexibility to work from home Monday and Friday, unless posted as a fully remote role

  • Mental health support with Workplace Options

  • Family planning support with Maven

  • $100 per month Lifestyle Stipend to spend on fitness, health and wellness, and other activities

  • Wellness Days - Fronteers get an additional day off on months with no holidays

  • Winter Break - Our offices are closed from Christmas to New Year's Day!

Front provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age or disability. By applying, you acknowledge and agree that you have read and understand the California Recruiting Privacy Notice & EU Privacy Notice

HQ

Front San Francisco, California, USA Office

Employees value working in San Francisco's financial district for its, networking potential, convenient commute options, access to amenities, professional development resources, vibrant work environment, opportunities for continuous learning, and a strong sense of professional community.

Similar Jobs

15 Days Ago
In-Office or Remote
US
165K-250K Annually
Senior level
165K-250K Annually
Senior level
Consumer Web • eCommerce • Machine Learning • Software • Sports • Analytics
Lead architecture and reliability of the data platform, build and harden ingestion (batch and CDC), own BigQuery+dbt transformations, establish testing/observability/governance, mentor engineers, develop Python tooling and APIs, run POCs for lakehouse/open table formats, and define AI-assisted development practices.
Top Skills: AWSCi/CdClaude CodeDbtEstuaryGCPGitGoogle BigqueryHevoLakehouseOpen Table FormatsPythonSQL
18 Days Ago
In-Office
2 Locations
207K-275K Annually
Expert/Leader
207K-275K Annually
Expert/Leader
Cloud • Information Technology • Machine Learning
Lead architecture and standards for CoreWeave's enterprise data ecosystem: design lakehouse/streamhouse architectures, modeling and semantic layers, governance, data quality, lineage, observability, and reusable data products. Drive cross-domain solutions, resolve performance and scalability constraints, evaluate core data technologies, conduct architecture reviews, and mentor senior engineers.
Top Skills: Apache FlussApache HudiApache IcebergApache PaimonAutomqClickhouseData VaultDelta LakeFlinkJavaKafkaKubernetesPulsarPythonRustScalaSparkSQLStarrocksTrino
8 Days Ago
Hybrid
San Francisco, CA, USA
200K-260K Annually
Senior level
200K-260K Annually
Senior level
Software
Lead design and operation of a cloud-native data platform: set technical direction, build scalable ingestion/processing/warehousing pipelines (batch & streaming), support ML data needs, mentor engineers, drive projects end-to-end, run planning/standups/on-call, and eventually lead a data engineering team.
Top Skills: AirflowAthenaAuroraAws BatchAws CdkAws EcsAws LambdaBigQueryDagsterDbtDeltaDynamoDBFhirIcebergKafkaKinesisNode.jsParquetPostgresPythonRedshiftS3SagemakerSnowflakeSnsSparkSqsTypescript

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