<div><b><span style="font-size:12pt;">About AiDASH</span></b></div><div><br></div><div><span style="font-size:12pt;">AiDASH is making critical infrastructure industries climate-resilient and sustainable with satellites and AI. Using our full-stack SaaS solutions, customers in electric, gas, water utilities, transportation, and construction are transforming asset inspection and maintenance - and complying with biodiversity net gain mandates and carbon capture goals. AiDASH exists to safeguard critical infrastructure and secure the future of humanAIty™. Learn more at </span><a href="http://www.aidash.com/"><span style="font-size:12pt;">www.aidash.com</span></a><span style="font-size:12pt;">    </span></div><div><br></div><div><span style="font-size:12pt;">We are a Series C climate tech startup backed by leading investors, including Shell Ventures, National Grid Partners, G2 Venture Partners, Duke Energy, Edison International, Lightrock, Marubeni, among others.  We have been recognized by Forbes two years in a row as one of “America’s Best Startup Employers.”  We are also proud to be one of the few climate software companies in Time Magazine’s “America’s Top GreenTech Companies 2024”. </span><a href="https://www2.deloitte.com/us/en/pages/technology-media-and-telecommunications/topics/north-america-technology-fast-500.html?utm_source=bngaiwebsite&amp;utm_medium=referral&amp;utm_campaign=evolve-banner"><span style="font-size:12pt;">Deloitte Technology Fast 500</span></a><span style="font-size:12pt;">™ recently ranked us at No. 12 among San Francisco Bay Area companies, and No. 59 overall in their selection of the top 500 for 2024.  </span></div><div><span style="font-size:12pt;"> </span></div><div><span style="font-size:12pt;">Join us in Securing Tomorrow!</span></div><div><br></div><div><span style="font-size:16px;">Clean, reliable data is the foundation of every insight we deliver. As a key contributor on our Data Solutions team, housed within the broader Customer Success team, you’ll ensure that our data and model pipelines run smoothly—transforming raw inputs into reliable insights that power critical customer deliveries. By ensuring data quality and timeliness, you’ll enable our clients to make proactive, cost‑effective decisions—and keep power flowing without interruption. </span></div><br><br><h3>How you'll make an impact: </h3><ul><li>Design &amp; deliver: Collaborate with engineering managers and technical teams to ship data solutions that drive customer success </li><li>Data and model pipeline operations:  Maintain and run data and model pipelines—ingesting, cleaning, and transforming inputs to ensure they’re analysis‑ready and of the highest quality  </li><li>Customer delivery execution: Partner with cross-functional teams (Platform, Data Science, GIS, etc.) on deliveries, making sure insights and recommendations are backed by reliable inputs  </li><li>Monitor &amp; improve: Oversee existing tools and workflows, pinpoint performance bottlenecks, and propose enhancements to streamline our platform/ data science models  </li><li>Innovate &amp; iterate: Absorb best practices in data engineering and analytics, bring fresh ideas to the table, and help us iterate rapidly </li></ul><h3>What we're looking for: </h3><ul><li>Minimum 3 years of software engineering experience  </li><li>Experience with building, managing and maintaining data systems (ETL pipelines, etc.) for distributed scalable enterprise grade applications with experience of working with following tools / technologies is required </li><div>Strong working knowledge of SQL is required. PostgreSQL with PostGIS would be preferable   </div><div>Data orchestration tools like Airflow, etc. </div><div>AWS services (S3, EC2, ECR, etc.) </div><div>Containerization tools like Docker, etc. </div><div>CI/CD pipelines tools like Jenkins, etc. would be preferable </div><li>Solid foundation in programming fundamentals, data structures and algorithm is required. Familiarity with Python, Scala, etc. would be preferable </li><li>Experience of working in cross-functional dynamic environment with tight timelines while leading a small team is required. Tools/Tech such as Git, Jira, Confluence, etc. would be preferable </li><li>Self-started with strong problem-solving skills with a keen interest in data engineering, analytics, and machine learning applications. </li><li>Strong writing and verbal communication skills. </li><li>A degree in Engineering, Computer Science, or a related field is preferred but not mandatory </li></ul><h3>What you'll love</h3><ul><li>Real impact: See your code power live data workflows and directly influence client outcomes  </li><li>Mentorship: Learn side‑by‑side with experienced engineering leads who invest in your growth  </li><li>Cross‑functional collaboration: Work closely with Customer Success, GIS, Platform and Data Science teams—we value your ideas and input  </li><li>Skill upgrade: Gain hands‑on exposure to the full data solution lifecycle and pick up best practices every day </li></ul><br><div><span style="font-size:inherit;">We are proud to be an equal-opportunity employer. We are committed to embracing diversity and inclusion in our hiring practices, and we promote a work environment where everyone, from any race, color, religion, sex, sexual orientation, gender identity, or national origin, can do their best work. </span></div><div><br></div><div><span style="font-size:inherit;">We are committed to providing an inclusive and accessible interview experience for all candidates. Please let us know if you require any accommodation during the interview process, and we will make every effort to meet your needs. </span></div>

<p>AiDash is making critical infrastructure industries climate-resilient and sustainable with satellites and AI. Using our full-stack SaaS solutions, customers in electric, gas, and water utilities, transportation, and construction are transforming asset inspection and maintenance - and complying with biodiversity net gain mandates and carbon capture goals. Our customers deliver ROI in their first year of deployment with reduced costs, improved reliability, and achieved sustainability goals.</p>

Software Engineer - Data Solutions

<div><b><span>About AiDASH</span></b></div><div><br></div><div><span>AiDASH is making critical infrastructure industries climate-resilient and sustainable with satellites and AI. Using our full-stack SaaS solutions, customers in electric, gas, water utilities, transportation, and construction are transforming asset inspection and maintenance - and complying with biodiversity net gain mandates and carbon capture goals. AiDASH exists to safeguard critical infrastructure and secure the future of humanAIty™. Learn more at&nbsp;</span><a href="http://www.aidash.com/"><span>www.aidash.com</span></a><span>&nbsp;&nbsp;&nbsp;&nbsp;</span></div><div><br></div><div><span>We are a Series C climate tech startup backed by leading investors, including Shell Ventures, National Grid Partners, G2 Venture Partners, Duke Energy, Edison International, Lightrock, Marubeni, among others.&nbsp; We have been recognized by Forbes two years in a row as one of “America’s Best Startup Employers.”&nbsp; We are also proud to be one of the few climate software companies in Time Magazine’s “America’s Top GreenTech Companies 2024”.&nbsp;</span><a href="https://www2.deloitte.com/us/en/pages/technology-media-and-telecommunications/topics/north-america-technology-fast-500.html?utm_source=bngaiwebsite&amp;utm_medium=referral&amp;utm_campaign=evolve-banner"><span>Deloitte Technology Fast 500</span></a><span>™ recently ranked us at No. 12 among San Francisco Bay Area companies, and No. 59 overall in their selection of the top 500 for 2024. &nbsp;</span></div><div><span>&nbsp;</span></div><div><span>Join us in Securing Tomorrow!</span></div><div><br></div><div><span>Clean, reliable data is the foundation of every insight we deliver. As a key contributor on our Data Solutions team, housed within the broader Customer Success team, you’ll ensure that our data and model pipelines run smoothly—transforming raw inputs into reliable insights that power critical customer deliveries. By ensuring data quality and timeliness, you’ll enable our clients to make proactive, cost‑effective decisions—and keep power flowing without interruption.&nbsp;</span></div><br><br><h3>How you'll make an impact: </h3><ul><li>Design &amp; deliver: Collaborate with engineering managers and technical teams to ship data solutions that drive customer success&nbsp;</li><li>Data and model pipeline operations:&nbsp; Maintain and run data and model pipelines—ingesting, cleaning, and transforming inputs to ensure they’re analysis‑ready and of the highest quality&nbsp;&nbsp;</li><li>Customer delivery execution: Partner with cross-functional teams (Platform, Data Science, GIS, etc.) on deliveries, making sure insights and recommendations are backed by reliable inputs&nbsp;&nbsp;</li><li>Monitor &amp; improve: Oversee existing tools and workflows, pinpoint performance bottlenecks, and propose enhancements to streamline our platform/ data science models&nbsp;&nbsp;</li><li>Innovate &amp; iterate: Absorb best practices in data engineering and analytics, bring fresh ideas to the table, and help us iterate rapidly&nbsp;</li></ul><h3>What we're looking for: </h3><ul><li>Minimum 3 years of software engineering experience &nbsp;</li><li>Experience with building, managing and maintaining data systems (ETL pipelines, etc.) for distributed scalable enterprise grade applications with experience of working with following tools / technologies is required&nbsp;</li><div>Strong working knowledge of SQL is required. PostgreSQL with PostGIS would be preferable &nbsp;&nbsp;</div><div>Data orchestration tools like Airflow, etc.&nbsp;</div><div>AWS services (S3, EC2, ECR, etc.)&nbsp;</div><div>Containerization tools like Docker, etc.&nbsp;</div><div>CI/CD pipelines tools like Jenkins, etc. would be preferable&nbsp;</div><li>Solid foundation in programming fundamentals, data structures and algorithm is required. Familiarity with Python, Scala, etc. would be preferable&nbsp;</li><li>Experience of working in cross-functional dynamic environment with tight timelines while leading a small team is required. Tools/Tech such as Git, Jira, Confluence, etc. would be preferable&nbsp;</li><li>Self-started with strong problem-solving skills with a keen interest in data engineering, analytics, and machine learning applications.&nbsp;</li><li>Strong writing and verbal communication skills.&nbsp;</li><li>A degree in Engineering, Computer Science, or a related field is preferred but not mandatory&nbsp;</li></ul><h3>What you'll love</h3><ul><li>Real impact: See your code power live data workflows and directly influence client outcomes&nbsp;&nbsp;</li><li>Mentorship: Learn side‑by‑side with experienced engineering leads who invest in your growth&nbsp;&nbsp;</li><li>Cross‑functional collaboration: Work closely with Customer Success, GIS, Platform and Data Science teams—we value your ideas and input&nbsp;&nbsp;</li><li>Skill upgrade: Gain hands‑on exposure to the full data solution lifecycle and pick up best practices every day&nbsp;</li></ul><br><div><span>We are proud to be an equal-opportunity employer. We are committed to embracing diversity and inclusion in our hiring practices, and we promote a work environment where everyone, from any race, color, religion, sex, sexual orientation, gender identity, or national origin, can do their best work.&nbsp;</span></div><div><br></div><div><span>We are committed to providing an inclusive and accessible interview experience for all candidates. Please let us know if you require any accommodation during the interview process, and we will make every effort to meet your needs.&nbsp;</span></div>

Software Engineer - Data Solutions

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About the Company

AiDash

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