Staff Data Engineer

About AiDASH  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 www.aidash.com    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”. Deloitte Technology Fast 500™ 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.   Join us in Securing Tomorrow!The Role: AiDASH is looking for an experienced data engineer to join our fast-growing data platform team. As a senior member of the team, you will be leading the design and development of data pipelines and services to process vast amounts of geospatial and enterprise data, and power ML inferencing and experimentation. The role requires working closely with stakeholders across teams such as Data Science, Product, and DevOps. This role also offers ample opportunities to guide and mentor other team members. 

How you'll make an impact:

• Design, build, scale, and optimize our data pipelines for ingesting and transforming data  
• Help build out our data lake and real-time infrastructure, and tooling on AWS 
• Support data science, machine learning, analytics, and business operations functions 
• Monitor and maintain pipelines and infrastructure to uphold internal SLAs 

What we're looking for:

• 8+ years of experience in data and software engineering
• 4+ years experience in building data pipes, datalakes and datawarehouse 
• Expertise in writing complex data transformations in SQL, Python & Spark 
• Knowledge of data warehousing concepts around building custom ETL integrations, and building data infrastructure (SCD, CDC, Snapshots, indexing, partitioning) 
• Knowledge of Data Security and Governance (nice to have) 
• BS/BA in a technical field such as Computer Science or Mathematics  

Preferred Qualifications

• Knowledge of satellite-generated data and geo-spatial technologies 

What you'll love:

• Comprehensive Medical, Dental, and Vision Coverage: 100% coverage for employees and 80% for their spouses and children 
• Health Reimbursement Account (HRA): 100% funded by AiDASH to cover medical deductibles 
• 401(k) Plan: Begin contributing after three months of employment to prepare for your future. Currently, no company match is offered 
• Parental Leave: Supportive parental leave with 16 weeks for primary caregivers and 4 weeks for secondary caregivers 
• Generous Vacation Policy: Accrue 20 vacation days per year, plus enjoy your Birthday off! 

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. We offer a competitive base pay range for this full-time position, which is between $190,000 and $230,000 per year. This range reflects the anticipated base salary for new hires. We strive to ensure our compensation packages are equitable and aligned with industry standards. Your recruiter can share more about compensation during the hiring process. 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.