SPAN
Senior Data Engineer
SPAN, San Francisco, California, United States, 94199
Our Mission
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 energyMaking electrification upgrades possibleBuilding more resilient homes with reliable backupDesigning a flexible and distributed electrical gridThe RoleAs a Data Engineer, you will design, build, test, and create the 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 for visibility.ResponsibilitiesWe are looking for a Data Engineer with a passion for building data pipelines, working with product, data science, and business intelligence teams to deliver great solutions. As part of the team, you will:Acquire deep business understanding of how SPAN data flows from IoT devices to the cloud and build scalable and optimized data solutions that impact many stakeholders.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 closely with teams within the company to understand the value our platform can bring and how we can improve it.Improve data discovery by creating data exploration processes and promoting adoption of data sources across the company.Automate work by writing tools and applications.Assist internal teams in building out data logging, alerting, and monitoring for their applications.Be passionate about the CI/CD process.Design, develop, and establish KPIs to monitor analysis and provide strategic insights to drive growth and performance.About YouRequired QualificationsBachelor'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 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 with CI/CD systems: Circle-CI, GitHub Actions, Argo-CD, Spinnaker, etc.Experience working with IAC providers: Crossplane, Terraform, Pulumi, etc.Bonus QualificationsExperience 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. Individual pay is determined by location and individual factors including relevant skills, experience, and education or training.Life at SPANHeadquartered 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: 100% employee premiums for base plans on medical, dental, vision with options for additional coverage. Parental leave up to twenty-four (24) weeks depending on eligibility.Comfortable, sunny office space located near BART and Caltrain public transit.Strong focus on team building and company culture: Employee Resource Groups, monthly social events, SPANcakes recognition breakfast, lunch, and learns.Flexible hours, one holiday per month, and flexible time off.Interested in joining our team? Apply today and we’ll be in touch with the next steps!
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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 energyMaking electrification upgrades possibleBuilding more resilient homes with reliable backupDesigning a flexible and distributed electrical gridThe RoleAs a Data Engineer, you will design, build, test, and create the 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 for visibility.ResponsibilitiesWe are looking for a Data Engineer with a passion for building data pipelines, working with product, data science, and business intelligence teams to deliver great solutions. As part of the team, you will:Acquire deep business understanding of how SPAN data flows from IoT devices to the cloud and build scalable and optimized data solutions that impact many stakeholders.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 closely with teams within the company to understand the value our platform can bring and how we can improve it.Improve data discovery by creating data exploration processes and promoting adoption of data sources across the company.Automate work by writing tools and applications.Assist internal teams in building out data logging, alerting, and monitoring for their applications.Be passionate about the CI/CD process.Design, develop, and establish KPIs to monitor analysis and provide strategic insights to drive growth and performance.About YouRequired QualificationsBachelor'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 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 with CI/CD systems: Circle-CI, GitHub Actions, Argo-CD, Spinnaker, etc.Experience working with IAC providers: Crossplane, Terraform, Pulumi, etc.Bonus QualificationsExperience 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. Individual pay is determined by location and individual factors including relevant skills, experience, and education or training.Life at SPANHeadquartered 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: 100% employee premiums for base plans on medical, dental, vision with options for additional coverage. Parental leave up to twenty-four (24) weeks depending on eligibility.Comfortable, sunny office space located near BART and Caltrain public transit.Strong focus on team building and company culture: Employee Resource Groups, monthly social events, SPANcakes recognition breakfast, lunch, and learns.Flexible hours, one holiday per month, and flexible time off.Interested in joining our team? Apply today and we’ll be in touch with the next steps!
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