How you'll make an impact:
- Design and Build Scalable Platforms: Design and implement scalable platforms to manage large-scale geospatial data, including satellite imagery, LiDAR, weather data, and enterprise datasets
- Optimize Data Management: Ensure efficient ingestion, storage, and processing of diverse data types, supporting both operational workflows and analytical needs
- Ensure Data Quality and Integrity: Implement validation, cleaning, deduplication, and quality control measures to maintain high data integrity across all datasets
- Propose Big Data Solutions: Architect solutions for hosting and processing imagery, LiDAR, and vector data, leveraging cloud or hybrid environments.
- Collaborate Across Teams: Partner with data scientists, analysts, and stakeholders to align platforms with business objectives, enabling data-driven insights and decisions
- Lead Cross-Functional Optimization Initiatives: Drive efforts to enhance code efficiency, runtime performance, and resource utilization, while continuously scaling system architecture
- Stay Ahead of Industry Trends:Monitor emerging technologies, tools, and best practices, recommending improvements to enhance data infrastructure
- Provide Technical Leadership: Offer guidance to product engineers in building scalable, reliable systems that support current and future data demands
What we're looking for:
- Minimum of 12 years of overall professional experience, including at least 5 years in data engineering, with a proven track record of designing, building, and operating large-scale data systems
- Experience in building platforms for storing and processing large volumes of geospatial data – including satellite and LiDAR images
- Hands-on experience in designing and implementing image processing systems, along with performing complex operations on geospatial data
- Experience in building and maintaining modern data pipelines in cloud or hybrid environments
- Strong experience with big data technologies (e.g., Hadoop, Spark), database systems (e.g., SQL, NoSQL), geospatial toolkits and ETL tools
- Strong experience with modern data cataloging and warehousing technologies (e.g., Iceberg, Spark, Athena, Sedona).
- Expertise in at least one programming language, such as Scala, Java, or Python
- Deep understanding of data modeling, data warehousing solutions, and data architecture strategies for both transactional and analytical systems
- Experience with cloud services (AWS, Azure, Google Cloud), and a solid understanding of the data pipeline tools and services available on these platforms
- Exceptional problem-solving, analytical, communication, and teamwork skills
- Leadership experience with the ability to collaborate effectively across teams to achieve company objectives
- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field
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!
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