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FORWARD DEPLOYED DATA ENGINEER

Published · Updated

Pay not postedSan Diego, CA

A forward-deployed data engineer on EROAD's Data Platform team will own technical relationships and end-to-end engagements with strategic North American customers.

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View posting at EROAD

At a glance

Posted base pay

Not posted

The work

Builds what the customer runs

Balance

  1. Mostly building
  2. Mixed
  3. Mostly pre-sales or support

Project stages

  1. Pre-sales (not covered)
  2. Proof of concept
  3. Implementation
  4. Operations (not covered)
Coding
Writes production code
Builds for
External customers
Level
Senior
Role
Technical lead

What they ask for

Experience

  • 5+ yearshands-on data engineering or analytics engineering

Background

  • Software engineering
  • Implementation and data engineering

Tools

  • SQL
  • Snowflake
  • Python
  • dbt
  • Git
  • CI/CD
  • Power BI
  • Snowflake Secure Data Sharing

Less common in FDE jobs

  • Company size: About 201–1,000 people18%
  • Company stage: Public28%
  • Covers proofs of concept40%
  • Individual contributor or manager: Technical lead47%

Share of US FDE postings that state each fact.

The job description from EROAD

ABOUT THE COMPANY

EROAD is a global fleet management technology company, delivering GPS tracking, video telematics, compliance automation and driver safety tools to fleet operators across New Zealand, Australia and North America, and we're growing our Data Platform team to put data engineering talent directly in front of our strategic North American customers. We're hiring a Forward Deployed Data Engineer to sit within that team and own the technical relationship with those customers day to day.

WHAT YOU'LL DO

This role blends hands-on data engineering with direct customer ownership, from first workshop through to delivered solution.

Lead discovery workshops with customers to understand their business problems firsthand
- Present findings and solution approaches to both technical teams and executive stakeholders
- Translate business problems into scoped data, analytics and AI solutions
- Build and prototype applied AI use cases directly with customers
- Own engagements end to end, including scoping, estimates and risk management
- Work closely with Sales, Product and Engineering to shape and deliver customer solutions

WHAT YOU NEED

You'll bring solid data engineering depth alongside real comfort operating in front of customers.

5+ years of hands-on data engineering or analytics engineering experience
- Strong SQL skills
- Experience with a cloud data warehouse, Snowflake preferred, or equivalent hands-on depth on another modern cloud data warehouse
- Python or another relevant programming language
- Experience with dbt or an equivalent transformation framework
- Solid data quality and governance practices
- Git-based development and CI/CD experience
- Strong customer-facing communication skills, comfortable presenting to executive audiences
- Power BI dashboard-building experience is a plus
- Prior experience in professional services, solutions engineering or technical consulting is a plus
- Experience with Snowflake Secure Data Sharing or customer data integration is a plus
- Streaming or near-real-time data experience is a plus
- Background in transportation, telematics, logistics, compliance or cold-chain, or familiarity with North American fleet operations, is a plus

WHY JOIN

You'll get real ownership of strategic customer engagements at a company operating at genuine scale.

Work directly with strategic North American customers, shaping their data and AI solutions from the ground up
- Join a high-growth, publicly listed technology company making a real difference for its customers
- Be part of a talented, collaborative and multicultural team
- Continuous learning support, including EAP offerings and AI tooling
- Competitive benefits package

View posting at EROAD

About EROAD

EROAD sells connected fleet hardware and software for telematics, safety, compliance, asset tracking, and operational insight across transport-heavy industries.

Public · 500–1000 people

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Pay and conditions

Posted pay
Pay not posted
Location
San Diego, CA
Experience requirements
  • 5+ years: hands-on data engineering or analytics engineering (required)