Remote Senior Geospatial Data Engineer

Description:

• Object Computing, Inc. is seeking a Senior Geospatial Data Engineer to join the Xtrack Product Team.
• The role involves leading the design and implementation of scalable, cloud-based geospatial data infrastructures.
• The position focuses on improving safety and operational efficiencies for organizations in the rail industry.
• The engineer will work with cutting-edge technologies in image processing, artificial intelligence, cloud computing, and geospatial database management.
• Responsibilities include optimizing complex business processes and unlocking new value from large-scale geospatial datasets.
• Key tasks include architecting, designing, and maintaining robust data pipelines and infrastructures for geospatial and big data applications.
• The engineer will lead the development and optimization of ETL processes for large volumes of geospatial and tabular data.
• The role requires designing and building API-driven web services to enable integration across products.
• Collaboration with backend and platform engineers is essential to ensure secure and reliable service communication.
• The engineer will translate complex analytics into actionable data solutions and work closely with data scientists and business stakeholders.
• Responsibilities also include driving the adoption of cloud-based data solutions and ensuring data quality and security.
• The engineer will mentor junior team members and communicate technical details to both technical and non-technical audiences.
• Proactive recommendations for improvements to existing data infrastructure are expected.
• Staying current with industry trends and emerging technologies in geospatial data engineering is crucial.

Requirements:

• Candidates must demonstrate excitement and dedication towards making a measurable impact for customers and clients.
• Experience in software development, data engineering, or big data roles, preferably with a focus on geospatial data, is required.
• Proficiency in building solutions with Python is necessary.
• Candidates should have experience with relational databases, including advanced query building and data manipulation.
• Experience in architecting and optimizing cloud-based data solutions, preferably with GCP, AWS, or Azure, is essential.
• Deep experience with big data technologies such as Hadoop, Spark, MapReduce, or Kafka is required.
• Candidates must have experience integrating with API-driven web services.
• Demonstrated ability to lead projects, mentor team members, and drive technical decisions is necessary.
• Strong problem-solving skills and the ability to work independently or collaboratively are required.
• Excellent organizational, interpersonal, and communication skills are essential.

Benefits:

• The position offers the opportunity to work with cutting-edge technologies in a dynamic environment.
• Employees will have the chance to make a real impact on safety and operational efficiencies in the rail industry.
• The role includes opportunities for professional growth and mentorship within the team.
• Employees will be part of a collaborative team that values innovation and technical excellence.
• The company supports continuous learning and staying current with industry trends and technologies.