Our Mission
SPAN is enabling electrification for all
SPAN is mission-driven to design, build, and deploy products that electrify our built environment, decarbonize our world, and slow the effects of climate change.
Decarbonization is the process to reduce or remove greenhouse gas emissions, especially carbon dioxide, from entering our atmosphere.
Electrification is the process of replacing fossil fuel appliances that run on gas or oil with all-electric upgrades for a cleaner way to power our lives.
At SPAN, we believe in:
Enabling homes and vehicles powered by clean energy
Making electrification upgrades possible
Building more resilient homes with reliable backup
Designing a flexible and distributed electrical grid
The Role
As a Data Engineer, you would be working to design, build, test, and create infrastructure necessary for real-time analytics and batch analytics pipelines. You will work with multiple teams within the organization to provide analysis and insights on the data. You will also be involved in writing ETL processes that support data ingestion and guide best practices for data management, governance, and security. Additionally, you will build infrastructure to monitor these data pipelines, ETL jobs, and create tooling/infrastructure for providing visibility into these.
Responsibilities
We are looking for a Data Engineer with a passion for building data pipelines, working with product, data science, and business intelligence teams, and delivering great solutions. As a part of the team you will:
Acquire deep business understanding on how SPAN data flows from IoT device to cloud through the system and build scalable and optimized data solutions that impact many stakeholders.
Be an advocate for data quality and excellence of our platform.
Build tools that help streamline the management and operation of our data ecosystem.
Ensure best practices and standards in our data ecosystem are shared across teams.
Work with teams within the company to build close relationships with our partners to understand the value our platform can bring and how we can make it better.
Improve data discovery by creating data exploration processes and promoting adoption of data sources across the company.
Have a desire to write tools and applications to automate work rather than do everything by hand.
Assist internal teams in building out data logging, alerting, and monitoring for their applications.
Be passionate about CI/CD processes.
Design, develop, and establish KPIs to monitor analysis and provide strategic insights to drive growth and performance.
About You
Required Qualifications
Bachelor's Degree in a quantitative discipline: computer science, statistics, operations research, informatics, engineering, applied mathematics, economics, etc.
3+ years of relevant work experience in analytics, data engineering, business intelligence, research, or related fields.
Experience in at least one programming language (Python, Scala, or other JVM based languages).
Experience working with latency data processing solutions like Flink, Prefect, AWS Kinesis, Kafka, Spark Stream processing, etc.
Experience with SQL/Relational databases, OLAP databases like Snowflake.
Experience in messaging/streaming platforms like Kafka, TimestreamDB, etc.
Experience working in AWS: S3, MSK, Glue, Athena, EMR, ECR, etc.
Experience working with CI/CD systems: Circle-CI, Github Actions, Argo-CD, Spinnaker, etc.
Experience working with IAC providers: Crossplane, Terraform, Pulumi, etc.
Bonus Qualifications
Experience with the Energy industry.
Experience with building IoT and/or hardware products.
Understanding of electrical systems and residential loads.
Experience with data visualization using Tableau.
Experience in Data loading tools like FiveTran.
The U.S. base salary range for this position is $134,000 - $190,000 plus benefits, equity, and variable compensation for Sales-related roles. This range represents SPAN’s good faith estimate of competitively-priced salary for the role based on national, real-time industry data from companies of a similar growth stage. This range reflects minimum and maximum new hire salaries for the role across US locations. Within the range, individual pay is determined by location and individual factors including relevant skills, experience, and education or training. This range correlates to the relative level of the candidate we believe we need for the role and may require an adjustment for candidates of a different level.
Your recruiter can share more about the specific salary range for the location this role is based during the hiring process.
Life at SPAN
Headquartered in San Francisco’s vibrant SoMa neighborhood, we are an eclectic group of creative thinkers who value open communication, teamwork, and a ‘make it happen’ approach to addressing complex challenges.
SPAN embraces diversity and equal opportunity in a serious way. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills.
We’re hiring talented individuals who are driven by success and are passionate about shaping the future of renewable energy. If that sounds like you, we’d love for you to consider joining the rapidly growing team at SPAN.
The Perks:
Competitive compensation + equity grants at a well-funded, venture-backed company.
Comprehensive benefits (including medical; dental, vision, life and disability insurance).
Comfortable, sunny office space located near BART and Caltrain public transit.
Strong focus on teambuilding and company culture (events, meet-ups, clubs).
Flexible hours and unlimited PTO.
Interested in joining our team? Submit an application today and we’ll be in touch with next steps!
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