Skydio

Senior Data Engineer, Analytics

San Mateo, CA US
Terraform SQL Python AWS
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Description

Skydio is the leading US drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial transportation. The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, and operational excellence to empower a broader, more diverse audience of drone users - from first responders to insurance claims adjusters, utilities, and more!

About the role:

We are looking for a talented Senior Data Engineer, Analytics to elevate our robust analytics technology stack by designing and implementing top-tier data infrastructure and management best practices across ETL, automation, reporting, and governance. This role is pivotal in building a scalable, reliable data architecture that empowers the Analytics and Strategy team to drive decision-making across the entire organization. You will collaborate closely with the software, hardware, and GTM teams to provide strategic input on data storage, formats, and access controls to meet both internal and external requirements. Your work will play a key role in shaping the future of our technology stack, enhancing team productivity, and driving company-wide efficiency and profitability.

How you'll make an impact:

  • Assist in managing the performance of our tech stack including Fivetran, Databricks, AWS, Tableau, and Ascend (Airflow-like environment) 
  • Refine and expand on the automated pipelines ensuring completeness of data and deviances (e.g. changing schemas) are properly ingested and propagated      
  • Partner with Analytics teammates to translate their respective stakeholders’ business needs into data products 
  • Collaborate with Engineering to appropriately provision internal and external users with governance (e.g. GDPR) in mind 
  • Help democratize data by contributing to data dictionary and lineage initiatives
  • Assist with ad-hoc projects and provide support as needed
  • Develop data pipeline status reporting such as data anomaly detection, cluster health, error handling, and automated alerting 
  • Assist with ad-hoc projects and provide support as needed

What makes you a good fit:

  • Demonstrable experience in developing, deploying, and maintaining data pipelines from ETL to automation and anomaly alerts preferably with Fivetran, Airflow, and Databricks 
  • Advanced understanding of AWS (e.g. Terraform, S3, IAM)  and Databricks offerings including cluster management with infrastructure-as-code as a bonus 
  • Proven ability to write, test, and debug code primarily in SQL and Python 
  • Bachelor's degree or equivalent practical experience
  • Strong communication skills, with the ability to break down complex concepts to non-technical stakeholders

Compensation Range: The annual base salary range for this position is 140,000-175,000*. Compensation will vary based on factors, including skill level, proficiencies, transferable knowledge, and experience. In addition to base salary, Skydio full-time employees are eligible to enroll in our benefit plans and take advantage of a variety of incentives and stipends.

#LI-SS1

At Skydio we believe that diversity drives innovation. We have created a multidisciplinary environment that embraces the power of diverse perspectives to create elegant solutions for complex problems. We are committed to growing our network of people, programs, and resources to nurture an inclusive culture.

As such, we do not make hiring or other employment-related decisions on the basis of an applicant or employee’s race, color, ethnicity, national origin, citizenship, sex/gender (including pregnancy, childbirth, breastfeeding and related medical conditions),  gender identity or expression, age, religion, disability status, sexual orientation, marital status, medical condition, genetic information or characteristics, veteran, military or family status, or other classifications protected by applicable federal, state or local anti-discrimination laws.

For positions located in the United States of America, Skydio, Inc. uses E-Verify to confirm employment eligibility. To learn more about E-Verify, including your rights and responsibilities, please visit https://www.e-verify.gov/

Skydio
Skydio
Artificial Intelligence (AI) Drone Management Drones Law Enforcement Machine Learning Robotics

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