Staff Data Engineer, AiDash
Data Analytics & Workflows
$190-230k
Office located in Palo Alto, CA
Satellite-first AI applications
Job no longer available
Satellite-first AI applications
201-500 employees
Job no longer available
$190-230k
Office located in Palo Alto, CA
201-500 employees
Company mission
To create a greener, cleaner, safer planet from space.
Role
Who you are
- AiDASH is looking for an experienced data engineer to join our fast-growing Data & ML Platform team
- 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 datawarehouse
- 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
Desirable
- 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 the job involves
- 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
- 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
Our take
The growing constellations of satellites delivering high definition earth imaging, along with advancements in AI, have spawned a flourishing business in ‘digital twins’ for global asset management. These digital data-compilation copies of on-the-ground locations can be used to help predict and mitigate the effects of climate disaster events - which cost the US billions of dollars each year.
AiDash’s various products help manage disaster, disruption and wildfires, as well as monitoring vegetation. The latter service, its original one, has a host of high-profile global clients, such as National Grid. The company's expansion into climate resilience demonstrates a keen awareness of both its tech's potential and the direction of the market - with environmental issues becoming even more of a hot topic in recent years.
The company has done well to prove its agility, which may well enable it to stay ahead of more specified rivals as they enter the scene. This includes companies like Kettle and Technosylva which operate in the predictive climate analytics space. AiDash's comparatively diverse offering should help it retain a competitive edge, while the substantial funding it has secured supports the pursuit of heightened global expansion.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 4 rounds)
Apr 2024
$58.5m
SERIES C
Nov 2022
$10m
LATE VC
Total funding: $101.5m
Company benefits
- Multiply your growth - Grow into your best self while you are helping us grow. Where are you on your career path? How can we help?
- Know your view is valued - Your concepts, your perspectives, your opinions, your creativity
- Balance work with life - You’ll need personal time for the things that matter. You’ll have it
- Get world-class rewards - Comprehensive benefits, ESOPs and other perks
Company HQ
University South, Palo Alto, CA
Leadership
Abhishek Vinod Singh
(CEO & Co-founder)Co-founded Mitrr and DbyDX Software, then moved into a SVP and COO role at Kellton Tech Solutions. Most recently spent a decade as co-founder, director, and advisor at Edureka.
Rahul Saxena
(Chief Product & Technology Officer, Co-founder)Spent time in senior Engineering roles at Qwest Software Services and RSA Security, then went on to co-found allMemoirs and Quiklo.
Nitin Das
(Chief AI Officer & Co-founder)Previously directed Applied Research at Kvantum, then acted as Lead AI Scientist for Target. Additionally co-founded Uvaca Private Ltd.
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