<h2>Our Mission</h2>SPAN is enabling electrification for all ⚡<h2>We are a mission-driven company designing, building, and deploying products that electrify the built environment, reduce carbon emissions, and slow the effects of climate change.</h2><ul style=""><li>Decarbonization is the process to reduce or remove greenhouse gas emissions, especially carbon dioxide, from entering our atmosphere.</li><li>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.</li></ul><h2>At SPAN, we believe in:</h2><ul style=""><li>Enabling homes and vehicles powered by clean energy</li><li>Making electrification upgrades possible</li><li>Building more resilient homes with reliable backup</li><li>Designing a flexible and distributed electrical grid</li></ul><h2>The Role</h2>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 org to provide analysis, insights on the data. You will also be involved in writing ETL processes that support data ingestion. You will also guide and enforce best practices for data management, governance and security. You will build infrastructure to monitor these data pipelines / ETL jobs / tasks and create tooling/infrastructure for providing visibility into these.<h3>Responsibilities</h3>We are looking for a Data Engineer with 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:-<ul style=""><li>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.</li><li>Be an advocate for data quality and excellence of our platform.</li><li>Build tools that help streamline the management and operation of our data ecosystem.</li><li>Ensure best practices and standards in our data ecosystem are shared across teams.</li><li>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.</li><li>Improve data discovery by creating data exploration processes and promoting adoption of data sources across the company.</li><li>Have a desire to write tools and applications to automate work rather than do everything by hand.</li><li>Assist internal teams in building out data logging, alerting and monitoring for their applications</li><li>Are passionate about CI/CD process.</li><li>Design, develop and establish KPIs to monitor analysis and provide strategic insights to drive growth and performance.</li></ul>About YouRequired QualificationsBachelor's Degree in a quantitative discipline: computer science, statistics, operations research, informatics, engineering, applied mathematics, economics, etc.<ul style=""><li>2 - 5 years of relevant work experience in data engineering, business intelligence, research or related fields.</li><li>Expert level production-grade, programming experience in at least one of these languages (Python, Kotlin, or other JVM based languages)</li><li>Experience in writing clean, concise and well structured code in one of the above languages.</li><li>Experience working with Infrastructure-as-code tools: Pulumi, Terraform, etc.</li><li>Experience working with CI/CD systems: Circle-CI, Github Actions, Argo-CD, etc.</li><li>Experience managing data engineering infrastructure through Docker and Kubernetes</li><li>Experience working with latency data processing solutions like Flink, Prefect, AWS Kinesis, Kafka, Spark Stream processing etc.</li><li>Experience with SQL/Relational databases, OLAP databases like Snowflake.</li><li>Experience working in AWS: S3, Glue, Athena, MSK, EMR, ECR etc.</li></ul>Bonus Qualifications<ul style=""><li>Experience with the Energy industry</li><li>Experience with building IoT and/or hardware products</li><li>Understanding of electrical systems and residential loads</li><li>Experience with data visualization using Tableau.</li><li>Experience in Data loading tools like FiveTran as well as data debugging tools such as DataDog</li></ul><h2>Life at SPAN</h2>Our Bengaluru team plays a pivotal role in SPAN’s continued growth and expansion. Together, we’re driving engineering, product development, and operational excellence to shape the future of home energy solutions.As part of our team in India, you’ll have the opportunity to collaborate closely with our teams in the US and across the globe. This international collaboration fosters innovation, learning, and growth, while helping us achieve our bold mission of electrifying homes and advancing clean energy solutions worldwide.Our in-office culture offers the chance for dynamic interactions and hands-on teamwork, making SPAN a truly collaborative environment where every team member’s contribution matters.Our climate-focused culture is driven by a team of forward-thinkers, engineers, and problem-solvers who push boundaries every day.<ul style=""><li>Do mission-driven work: Every role at SPAN directly advances clean energy adoption.</li><li>Bring powerful ideas to life: We encourage diverse ideas and perspectives to drive stronger products.</li><li>Nurture an innovation-first mindset: We encourage big thinking and bold action.</li><li>Deliver exceptional customer value: We value hard work, and the ability to deliver exceptional customer value.</li></ul>Benefits at SPAN India⚡Generous paid leave⚡Comprehensive Insurance &amp; Health Benefits⚡Centrally located office in Bengaluru with easy access to public transit, dining, and city amenities

SPAN is developing products to enable rapid adoption of renewable energy and deliver an intuitive interface for the home. We believe that powering your home with clean energy should be a simple and delightful experience that is technology-forward and human-centered.

Data Engineer

<h2>Our Mission</h2>SPAN is enabling electrification for all ⚡<h2>We are a mission-driven company designing, building, and deploying products that electrify the built environment, reduce carbon emissions, and slow the effects of climate change.</h2><ul><li>Decarbonization is the process to reduce or remove greenhouse gas emissions, especially carbon dioxide, from entering our atmosphere.</li><li>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.</li></ul><h2>At SPAN, we believe in:</h2><ul><li>Enabling homes and vehicles powered by clean energy</li><li>Making electrification upgrades possible</li><li>Building more resilient homes with reliable backup</li><li>Designing a flexible and distributed electrical grid</li></ul><h2>The Role</h2>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 org to provide analysis, insights on the data. You will also be involved in writing ETL processes that support data ingestion. You will also guide and enforce best practices for data management, governance and security. You will build infrastructure to monitor these data pipelines / ETL jobs / tasks and create tooling/infrastructure for providing visibility into these.<h3>Responsibilities</h3>We are looking for a Data Engineer with 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:-<ul><li>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.</li><li>Be an advocate for data quality and excellence of our platform.</li><li>Build tools that help streamline the management and operation of our data ecosystem.</li><li>Ensure best practices and standards in our data ecosystem are shared across teams.</li><li>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.</li><li>Improve data discovery by creating data exploration processes and promoting adoption of data sources across the company.</li><li>Have a desire to write tools and applications to automate work rather than do everything by hand.</li><li>Assist internal teams in building out data logging, alerting and monitoring for their applications</li><li>Are passionate about CI/CD process.</li><li>Design, develop and establish KPIs to monitor analysis and provide strategic insights to drive growth and performance.</li></ul>About YouRequired QualificationsBachelor's Degree in a quantitative discipline: computer science, statistics, operations research, informatics, engineering, applied mathematics, economics, etc.<ul><li>2 - 5 years of relevant work experience in data engineering, business intelligence, research or related fields.</li><li>Expert level production-grade, programming experience in at least one of these languages (Python, Kotlin, or other JVM based languages)</li><li>Experience in writing clean, concise and well structured code in one of the above languages.</li><li>Experience working with Infrastructure-as-code tools: Pulumi, Terraform, etc.</li><li>Experience working with CI/CD systems: Circle-CI, Github Actions, Argo-CD, etc.</li><li>Experience managing data engineering infrastructure through Docker and Kubernetes</li><li>Experience working with latency data processing solutions like Flink, Prefect, AWS Kinesis, Kafka, Spark Stream processing etc.</li><li>Experience with SQL/Relational databases, OLAP databases like Snowflake.</li><li>Experience working in AWS: S3, Glue, Athena, MSK, EMR, ECR etc.</li></ul>Bonus Qualifications<ul><li>Experience with the Energy industry</li><li>Experience with building IoT and/or hardware products</li><li>Understanding of electrical systems and residential loads</li><li>Experience with data visualization using Tableau.</li><li>Experience in Data loading tools like FiveTran as well as data debugging tools such as DataDog</li></ul><h2>Life at SPAN</h2>Our Bengaluru team plays a pivotal role in SPAN’s continued growth and expansion. Together, we’re driving engineering, product development, and operational excellence to shape the future of home energy solutions.As part of our team in India, you’ll have the opportunity to collaborate closely with our teams in the US and across the globe. This international collaboration fosters innovation, learning, and growth, while helping us achieve our bold mission of electrifying homes and advancing clean energy solutions worldwide.Our in-office culture offers the chance for dynamic interactions and hands-on teamwork, making SPAN a truly collaborative environment where every team member’s contribution matters.Our climate-focused culture is driven by a team of forward-thinkers, engineers, and problem-solvers who push boundaries every day.<ul><li>Do mission-driven work: Every role at SPAN directly advances clean energy adoption.</li><li>Bring powerful ideas to life: We encourage diverse ideas and perspectives to drive stronger products.</li><li>Nurture an innovation-first mindset: We encourage big thinking and bold action.</li><li>Deliver exceptional customer value: We value hard work, and the ability to deliver exceptional customer value.</li></ul>Benefits at SPAN India⚡Generous paid leave⚡Comprehensive Insurance &amp; Health Benefits⚡Centrally located office in Bengaluru with easy access to public transit, dining, and city amenities

Data Engineer

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About the Company

SPAN

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