Geospatial Data Engineer

Vintti bridges the staffing gap for US businesses with a unique focus on time zone compatibility. We source top talent from Latin America, offering companies access to professionals who are available during standard US working hours. This alignment eliminates the need for off-hour communications and allows for integrated teamwork, as if all team members were in the same office.

A Geospatial Data Engineer specializes in working with spatial and geographic data to develop, manage, and analyze geospatial systems. They design and implement tools for spatial data processing, contribute to the collection and cleaning of geospatial datasets, and ensure their accuracy and integrity. By leveraging technologies such as Geographic Information Systems (GIS), remote sensing, and spatial databases, they provide critical insights for decision-making in various industries, ranging from urban planning to environmental monitoring. Their role is pivotal in transforming complex geospatial information into accessible and actionable intelligence.

- Bachelor's degree in Geospatial Science, Geography, Computer Science, or a related field.
- Proven experience as a Geospatial Data Engineer, GIS Developer, or similar role.
- Proficiency in geospatial software such as ArcGIS, QGIS, or similar.
- Strong experience with geospatial databases such as PostGIS, Oracle Spatial, or similar.
- Advanced skills in SQL for querying and managing spatial datasets.
- Proficiency in Python and geospatial libraries (e.g., GDAL, Shapely, Fiona, GeoPandas).
- Familiarity with ETL processes and tools.
- Experience with data quality assessment and validation techniques.
- Knowledge of geospatial data formats, standards, and best practices.
- Experience with geospatial APIs and web mapping services.
- Strong analytical and problem-solving skills.
- Ability to automate workflows using scripting languages and tools.
- Experience in version control systems such as Git.
- Strong communication and collaboration skills.
- Knowledge of data governance and data security best practices.
- Ability to generate and interpret spatial analysis reports.
- Experience with cloud-based geospatial technologies and services.
- Ability to research and integrate new geospatial technologies and data sources.
- Strong organizational skills and attention to detail.
- Ability to train and support users in geospatial tools and methodologies.

- Extract, transform, and load (ETL) geospatial data from various sources into databases.
- Design and maintain geospatial databases to ensure data integrity and accessibility.
- Develop and optimize spatial queries and scripts for data analysis and processing.
- Create and maintain geospatial data pipelines using Python, SQL, and other relevant technologies.
- Perform data quality checks and validations to ensure the accuracy and consistency of geospatial data.
- Implement and document geospatial data modeling and schema designs.
- Collaborate with data scientists and analysts to support spatial data needs for analysis and visualization.
- Integrate external geospatial APIs and data feeds into existing systems.
- Monitor and troubleshoot data workflows to ensure timely and accurate data delivery.
- Automate repetitive data processing tasks through scripting and workflow tools.
- Develop and maintain documentation for data processes, data definitions, and metadata.
- Collaborate with software engineers to integrate geospatial functionalities into applications.
- Research and evaluate new geospatial technologies, tools, and data sources.
- Support map production and spatial visualizations for internal and external stakeholders.
- Ensure compliance with data governance policies and data security best practices.
- Perform spatial data analysis and generate reports to support business decisions.
- Train and assist team members and stakeholders in using geospatial tools and data.
- Participate in cross-functional project teams to provide geospatial expertise.
- Manage and maintain version control for geospatial data and code repositories.
- Provide technical support for GIS platforms and tools used within the organization.

The ideal candidate for the Geospatial Data Engineer role is a highly skilled professional with a bachelor's degree in Geospatial Science, Geography, Computer Science, or a related field, and proven experience in a similar role such as a Geospatial Data Engineer or GIS Developer. They possess advanced proficiency in geospatial software like ArcGIS or QGIS and have extensive experience with geospatial databases, particularly PostGIS or Oracle Spatial. Their technical acumen is demonstrated through expert-level skills in SQL and Python, along with geospatial libraries such as GDAL, Shapely, Fiona, and GeoPandas. The candidate excels in ETL processes, data quality assessment, and validation techniques, ensuring rigorous data integrity and consistency. Comfortable with geospatial APIs, web mapping services, and cloud-based technologies, they can integrate and manage complex data sources seamlessly. They are highly analytical and problem-solving-oriented, able to automate workflows effectively using various scripting languages and tools while employing best practices in version control systems such as Git. Communication and collaboration come naturally to this candidate, coupled with a proactive, self-motivated, and continuous learning mindset. They exhibit strong organizational skills, adeptly manage multiple tasks, and maintain meticulous attention to detail and data quality. Their enthusiasm for new geospatial technologies, coupled with a commitment to data governance and security best practices, sets them apart. Additionally, their ability to train and support team members and stakeholders, paired with a flexible, innovative approach to problem-solving, makes them a perfect fit for this position.

- Extract, transform, and load (ETL) geospatial data from various sources into databases.
- Design and maintain geospatial databases to ensure data integrity and accessibility.
- Develop and optimize spatial queries and scripts for data analysis and processing.
- Create and maintain geospatial data pipelines using Python, SQL, and other relevant technologies.
- Perform data quality checks and validations to ensure the accuracy and consistency of geospatial data.
- Implement and document geospatial data modeling and schema designs.
- Collaborate with data scientists and analysts to support spatial data needs for analysis and visualization.
- Integrate external geospatial APIs and data feeds into existing systems.
- Monitor and troubleshoot data workflows to ensure timely and accurate data delivery.
- Automate repetitive data processing tasks through scripting and workflow tools.
- Develop and maintain documentation for data processes, data definitions, and metadata.
- Collaborate with software engineers to integrate geospatial functionalities into applications.
- Research and evaluate new geospatial technologies, tools, and data sources.
- Support map production and spatial visualizations for internal and external stakeholders.
- Ensure compliance with data governance policies and data security best practices.
- Perform spatial data analysis and generate reports to support business decisions.
- Train and assist team members and stakeholders in using geospatial tools and data.
- Participate in cross-functional project teams to provide geospatial expertise.
- Manage and maintain version control for geospatial data and code repositories.
- Provide technical support for GIS platforms and tools used within the organization.

- Detail-oriented with strong organizational skills
- Excellent analytical and problem-solving abilities
- Strong communication and collaboration skills
- Ability to work independently and as part of a team
- Proactive and self-motivated with a continuous learning mindset
- Adaptability and flexibility in a fast-paced environment
- Strong critical thinking and decision-making skills
- High level of integrity and accountability
- Innovative and creative approach to problem-solving
- Ability to manage and prioritize multiple tasks effectively
- Strong technical acumen and proficiency with geospatial technologies
- Attention to accuracy and data quality
- Ability to train and support team members and stakeholders
- Commitment to data governance and security best practices
- Enthusiastic about new geospatial technologies and advancements
- Strong programming and scripting capabilities

- Competitive salary range
- Comprehensive health, dental, and vision insurance
- Retirement savings plan with company match
- Flexible working hours
- Remote work options
- Generous paid time off (PTO) and holidays
- Professional development and training opportunities
- Reimbursement for industry certifications and courses
- Opportunities for career growth and advancement
- Collaborative and innovative work environment
- Access to the latest geospatial software and tools
- Company-sponsored wellness programs
- Employee assistance programs
- Travel allowances for conferences and industry events
- Performance-based bonuses and incentives
- Paid parental leave
- On-site amenities (if applicable, e.g., fitness center, cafeteria)
- Employee discount programs
- Company-sponsored social events and activities