Senior Data Engineer, IoT

Reposted 18 Hours Ago
Palo Alto, CA
In-Office
165K-220K Annually
Senior level
Automotive
The Role
The role involves designing and implementing cloud data infrastructure, building data pipelines, and developing dashboards for insights from connected vehicle data.
Summary Generated by Built In

About ALSO.

We’re ALSO, an electric mobility company originally conceived as a part of Rivian. We’re a passionate team of builders, dreamers, doers and innovators, focused on creating entirely new (not to mention, innovative and delightful) vertically integrated, small EVs designed to meet the global mobility challenges of today and tomorrow. Our mission is to inspire everyone to ride ALSO—replacing many local car, truck and SUV miles with ones on vehicles that are more affordable, more enjoyable and 10-50x more efficient.

As a founding member of the ALSO software team, you will have greenfield opportunities to design and implement the core cloud data infrastructure that delivers an excellent customer experience on ALSO's flagship connected EV and companion mobile app.  You will bring up scalable, secure data pipelines and a modern analytics environment that powers customer-facing features and internal insights.  This is a hands-on, 0→1 role where you’ll help define schemas, implement pipelines, manage storage and access policies, and build dashboards that surface real value from connected vehicle data.

You will drive everything from core IOT data pipelines to fleet-level intelligence and rider engagement. If you love building clean, well-documented data systems in a fast-moving environment—and want to see your work power real world products —this is your role.

What you will do: 

  • Stand up the foundational data infrastructure, from ingestion through transformation to visualization

  • Collaborate and direct third party agencies, as well as a growing backend and data team to define and implement data schemas, ingestion flows, and warehouse structure

  • Build real-time and batch data pipelines for telemetry, event logs, ride data, and product usage metrics

  • Design and maintain data warehouses and/or lakehouse systems to support analytics, reporting, and machine learning use cases

  • Develop dashboards and internal tools to surface key insights for engineering, operations, and product teams

  • Write queries and conduct analyses to answer high-value business and product questions using data from connected devices and mobile app ecosystem.

  • Implement data governance, access controls, and privacy policies from the start

  • Monitor data integrity, pipeline health, and cost/performance metrics across the stack

  • Contribute to building a modern, collaborative data culture grounded in documentation and best practices as the team grows

What you will bring: 

  • 6+ years of experience in data engineering roles with production infrastructure

  • Strong experience with AWS data services (e.g. Kinesis, SQS, S3, Glue, etc.) and commonly used data warehouse services (e.g. Snowflake, Redshift, Databricks, etc.)

  • Proven ability to work with IoT and time-series data, including schema design, rollups, and lifecycle management

  • Solid SQL skills and experience with Python or other scripting languages for data tooling and automation

  • Strong judgement in database architecture, for example, accounting for access patterns, consistency, and scaling requirements, as well as designing for the right level of application coupling.

  • Familiarity with event-driven systems, data normalization, and analytics for real-time products

  • Experience bringing up dashboards and visualization tools (e.g. Tableau, Looker, QuickSight, Grafana, or custom solutions) and extracting quick insights (Hex, Jupyter)

  • Understanding of data privacy and security best practices (e.g., PII handling, encryption at rest/in transit, IAM policy management)

  • Able to operate independently and prioritize for impact in a startup environment

  • Bonus: Experience with connected devices, mobility products, or usage-based analytics pipelines

  • Bonus: Exposure to ML pipelines, metrics instrumentation, and/or embedded data integrations

The salary for this position ranges from $165,000 to $220,000 per year, depending on experience and qualifications.

Why ALSO.

We’re passionate about helping the world find a better way to get there—wherever it is you’re headed.

We’re located in the heart of Silicon Valley and have brought together a world-class team from some of the biggest brands in the technology, automotive, cycling, outdoor recreation and retail spaces. 

Together we’re working hands-on to imagine, design and build an entirely new solution to a global set of transportation challenges. 

Perks and Benefits

  • Robust health coverage. Excellent health, dental and vision insurance covered up to 100% by ALSO with FSA & HSA options.

  • One Medical membership and dedicated insurance advocates.

  • Rich fertility and family building benefits with Progyny.

  • Flexible time off. 

  • 401(k) match.

Top Skills

AWS
Databricks
Glue
Grafana
Hex
Jupyter
Kinesis
Looker
Python
Quicksight
Redshift
S3
Snowflake
SQL
Sqs
Tableau
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The Company
HQ: Palo Alto, CA
0 Employees

What We Do

We’re ALSO, an electric mobility company originally conceived as a part of Rivian. We’re a passionate team of builders, dreamers, doers and innovators, focused on creating entirely new (not to mention, innovative and delightful) vertically integrated, small EVs designed to meet the global mobility challenges of today and tomorrow. Said another way, ALSO is a new set of solutions to a common set of challenges around transportation. Our mission is to inspire everyone to ride also—replacing many local car, truck and SUV miles with ones on vehicles that are more affordable, more enjoyable and 10-50x more efficient.

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