Staff Data Engineer - Data Analytics & Workflows

Company: AiDash Inc.
Location: Palo Alto
Posted on: March 29, 2025

Job Description:

About AiDASHAiDASH 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 .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." 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 RoleAiDASH is looking for an experienced data engineer to join our fast-growing Data & ML Platform team. As a senior member of the team, you will be leading the design and development of Analytics and Workflows to process vast amounts of geospatial and enterprise data, and power ML inferencing and experimentation. In the role, you will work closely with stakeholders across teams such as Data Science, Product, and DevOps; and will have ample opportunities to guide and mentor other team members.How you'll make an impact:

• Design and build scalable data pipelines: Architect and implement data workflows for high-volume, high-complexity datasets, ensuring data is reliable, accurate, and accessible for analytics and machine learning applications.
• Data architecture: Take ownership of designing and maintaining data architecture and storage solutions.
• Performance tuning and optimization: Continuously optimize data workflows for performance, scalability, and cost-efficiency, including working with big data tools and cloud platforms.
• Cross-functional Collaboration: Support data science, machine learning, and business operations functions.
• Infrastructure reliability and pipeline monitoring: Monitor and maintain pipelines and infrastructure to uphold internal SLAs.What we're looking for:
  • 8+ years of experience in data engineering, with hands-on experience designing and building data pipelines and architectures.
  • 4+ years experience in building data pipes, datalakes, and data warehouses.
  • Proficient in programming languages such as Python, Java, or Scala, and experience with data processing frameworks like Apache Spark or Hadoop.
  • Familiarity with data warehousing solutions like Snowflake, Redshift, or BigQuery.
  • Strong knowledge of ETL/ELT concepts, frameworks, or tools (e.g., Apache Airflow, Talend, DBT, or similar).
  • Deep understanding of data modeling techniques and data warehouse design.
  • Knowledge of Data Security and Governance (nice to have).
  • BS/BA in a technical field such as Computer Science.Preferred Qualifications
    • Experience with machine learning workflows and integrating data engineering systems with ML model training and inferencing.
    • 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.
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Keywords: AiDash Inc., Palo Alto , Staff Data Engineer - Data Analytics & Workflows, Engineering , Palo Alto, California