About Gridwise

Gridwise has set out to improve the way people and goods move. To do so, we started with empowering the workers who move us and our goods. Over time we’ve continued to expand our capabilities to empower other key stakeholders who impact people and goods movement such as cities and enterprises.

Gridwise’s first product, the Gridwise driver app, is the leading business application for gig economy drivers, helping them maximize their earnings and track their business performance all in one place. Our app is currently supporting a growing driver network that represents 10% of all US gig drivers.

Growing its gig-driver network to be one of the largest in the industry has enabled Gridwise to amass the most comprehensive gig mobility dataset in the industry and capitalize on a $50B data-as-a-service opportunity through its second product, Gridwise Analytics.

Gridwise is on its way to becoming the de facto operating platform for gig drivers and offering solutions that empower the entire ecosystem to improve the way people and goods move.

Gridwise is a rapidly growing venture-backed company that has developed market-leading solutions built to enable gig workers, cities, and enterprises to leverage the most powerful gig mobility data insights in the industry.  We’ve raised over $20 million in venture capital financing from top-tier investors such as Crosslink Capital, Autotech Ventures, Techstars, Switch Ventures, Scribble Ventures, Mountain State Capital, 412 Venture Fund, and more.

The Role

Gridwise is looking for a Senior Data Engineer to join our Gridwise Analytics team to help grow our data systems and to contribute to the continued innovation of our market-leading analytics platform capabilities. You will own and evolve our data systems architecture for managing key gig mobility and geolocation datasets that power our Gridwise Analytics platform to produce unique insights on the gig economy.

Responsibilities include:

• Architect and build data pipelines for ingesting, processing, and warehousing gig activity & geolocation datasets leveraged by our Gridwise Analytics product team
• Develop automated and robust processes for validating, cleaning, and transforming large datasets in preparation for use in our analytics metrics and insights
• Develop, deploy, and maintain scalable cloud infrastructure for our data pipeline systems
• Collaborate within the Gridwise Analytics product & engineering team to define and standardize our analytics data models and expand insights capabilities
• Promote and implement best practices across the entire data engineering lifecycle, including security, governance, DataOps, and quality assurance
• Support our Data Science team’s product R&D efforts through the ingestion of new data sources and provision of development data pipelines and environments
• Collaborate with our Driver App engineering team to develop unified data management systems where possible to ensure data consistency across both core product lines
• Provide mentorship and technical guidance to other engineers via code reviews, system design collaboration, and promotion of data best practices and standards

Qualifications we're looking for:

• 5+ years experience architecting and owning large-scale cloud-based data pipelines and storage systems
• Strong proficiency in SQL and Python
• Extensive experience working with numerous data storage technologies in public cloud ecosystems (GCP, AWS)
• Experience with workflow orchestration tooling, such as DAG-based tools like Airflow
• Experience working with data analytics tools such as dbt or Dataform
• Skilled in working on data pipelines and products end-to-end, from source data ingestion to analytics metrics preparation and data serving
• Proficiency and comfort working across the full software development lifecycle and stack, from application development, to deployment and infrastructure management

Exceptional candidates may have:

• Experience working with large geospatial and geographical datasets and performing spatial operations on data at scale
• Extensive experience working in the Google Cloud ecosystem, e.g. Big Query, Cloud SQL, GCS, GKE, Cloud Connector, etc.
• Familiarity with Go and deploying containerized applications in Kubernetes
• Experience with streaming and big data technologies such as Kafka, Spark, Hadoop, etc.
• Proficiency in operations engineering and cloud infrastructure
• Prior high-growth startup experience

Gridwise could be a good fit for you if you

• Are self starter who enjoys having autonomy in how they work
• Want to work with authentic people who embody diversity and are true to ourselves
• Want to be at a company that values your professional growth and empowerment
• Are looking for a cohesive team that cares about each other’s well-being

Why do people work at Gridwise?

• We are a remote-first culture- you work where you want and have flexibility on when you work
• You're surrounded by smart people who work hard - and have fun while doing it!
• Your work has a direct impact on the lives of gig workers and the way people and goods move at scale
• Your professional growth is one of our core company values and is invested in by us

What we offer

• Work remotely from anywhere in the world (US hours)
• Competitive salary & equity
• Medical, dental, & vision benefits that is generously subsidized
• 401(k) offering
• 529 College Savings Plan
• Work from home budget or paid membership at a remote coworking office
• Flexible hours & vacation policy - two weeks minimum please :)
• Monthly rideshare and delivery credits
• Home coffee subscription