2

Geospatial Data Engineer Remote Jobs in Louisiana

$150K - $185K/yr

With as much data under management as the hyperscalers, we're the preferred data partner for the ... Employee Resource Groups EEO/VEVRAA #LI-MH2 #LI-Remote

... Sr. COBOL Programmer (Remote) Description of specific duties in a typical workday for this ... Performing data cleansing on database tables. Occasional activities include: * Researching and ...

Lead AI Engineer - AWS Platform

Iowa, LA · On-site +1

$130K - $190K/yr

Information Technology We are modernizing our data and analytics ecosystem by embedding AI and ... Flexible work schedules and hybrid/remote options for eligible positions * Educational assistance ...

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Partner with data engineers on Snowflake backed retrieval patterns (Cortex Analyst and Cortex ...

$130K - $150K/yr

... Engineer (CDPSE) are considered an asset. * Values matter to you. You bring your real self to work ... remote (if non-local) or hybrid work arrangement where you'll spend 2 days per week on-site in ...

$130K - $150K/yr

... Engineer (CDPSE) are considered an asset. * Values matter to you. You bring your real self to work ... remote (if non-local) or hybrid work arrangement where you'll spend 2 days per week on-site in ...

From world-class events that last a few weeks to mining operations and remote communities who rely ... Analyzes engineering proposals, process requirements, and related technical data pertaining to PV ...

$139K - $168K/yr

Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and ... LI-SS2 LI-REMOTE

$139K - $168K/yr

Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and ... LI-SS2 LI-REMOTE

Showing results 21-40

Geospatial Data Engineer Remote information

What is a geospatial data engineer?

A Geospatial Data Engineer is a technology professional who designs, develops, and manages systems for collecting, storing, analyzing, and visualizing geospatial (location-based) data. They work with geographic information systems (GIS), spatial databases, and cloud platforms to process large datasets from sources like satellites, drones, and sensors. In a remote setting, they collaborate with teams online to build and maintain geospatial data pipelines and support decision-making for industries such as urban planning, environmental science, and logistics.

What are the key skills and qualifications needed to thrive as a geospatial data engineer in a remote role, and why are they important?

To thrive as a Geospatial Data Engineer (Remote), you need a strong background in GIS, geospatial analysis, and computer science, often supported by a related degree and experience with spatial databases. Proficiency with tools like Python, SQL, PostGIS, ArcGIS, and cloud platforms is typically required, along with relevant certifications such as GISP. Excellent problem-solving, communication, and self-management skills are essential for collaborating across distributed teams and delivering results independently. These skills ensure effective management of complex geospatial datasets, seamless integration of spatial data solutions, and success in a remote work environment.

What is the difference between Geospatial Data Engineer Remote vs GIS Analyst?

AspectGeospatial Data Engineer RemoteGIS Analyst
Required CredentialsBachelor's in GIS, Geography, Computer Science; experience with GIS software and programmingBachelor's in Geography, GIS, or related field; proficiency in GIS tools
Work EnvironmentRemote, often collaborative with teams across locationsTypically office-based or hybrid; fieldwork possible
Employer & Industry UsageTech companies, government agencies, environmental firmsUrban planning, government, environmental consulting
Common Search & ComparisonOften compared for GIS and data engineering roles in remote settings

The main difference between a Geospatial Data Engineer Remote and a GIS Analyst lies in their focus and skill set. Geospatial Data Engineers primarily develop and maintain data pipelines and infrastructure, often requiring programming skills, while GIS Analysts focus on spatial data analysis and map creation. Both roles may work remotely and share similar educational backgrounds, but their daily tasks and technical expertise differ significantly.

What are the typical challenges faced by remote geospatial data engineers when collaborating with distributed teams?

Remote Geospatial Data Engineers often navigate challenges such as coordinating across different time zones, ensuring data consistency, and maintaining effective communication with team members who may have varying technical backgrounds. Utilizing collaborative tools like version control systems and cloud-based platforms helps streamline workflows, but clear documentation and regular check-ins are essential to prevent misunderstandings. Building strong relationships virtually and proactively addressing technical or logistical issues can greatly enhance productivity and teamwork in a remote setting.
What are the most commonly searched types of Geospatial Data Engineer jobs in Louisiana? The most popular types of Geospatial Data Engineer jobs in Louisiana are:
What are popular job titles related to Geospatial Data Engineer Remote jobs in Louisiana? For Geospatial Data Engineer Remote jobs in Louisiana, the most frequently searched job titles are:
What job categories do people searching Geospatial Data Engineer Remote jobs in Louisiana look for? The top searched job categories for Geospatial Data Engineer Remote jobs in Louisiana are:
What cities in Louisiana are hiring for Geospatial Data Engineer Remote jobs? Cities in Louisiana with the most Geospatial Data Engineer Remote job openings:

Solutions Engineer - East Coast

Cloudera

Remote

$150K - $185K/yr

Full-time

PTO

Re-posted 12 days ago


Job description

Business Area:

Sales Engineering

Seniority Level:

Mid-Senior level

Job Description:

At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world's largest enterprises.

Solutions Engineer

Cloudera is seeking a Solutions Engineer to come join our team. You will utilize your strong technical, business competencies and customer service skills to provide the highest level of business and technical consultation to sales teams, prospects and customers to support sales goals.

As a Solutions Engineer you will:

  • Deep understanding of AI concepts and best practices

  • Provide advice in customer use cases discovery and requirements workshops

  • Ability to troubleshoot data science workloads

  • Actively participate within the Cloudera community

  • Create and deliver customer-centric solution designs

  • Present roadmap, vision, proposed architectures and business outcomes to technical teams

  • Responsible for defining technical selling approach for accounts

  • Regularly participate in account penetration / success strategy planning, working with sales counterparts and solutions engineering management

  • Understand the core differentiators across the competitive landscape

  • Understand the technology ecosystem

  • Transform customer feedback into actionable product roadmap items

  • A share of evangelism activities (blogs, meetups, industry events)

  • Mentor associates, participate in creation and maintenance of enablement materials across the team

  • Participate in contribution to internal and external knowledge repositories

We're excited about you if you have:

  • Hands-on experience with the full lifecycle of AI models - from development and testing to production deployment, monitoring, and retraining/versioning

  • You have strong experience with AI ecosystems (Agentic AI, Ethical AI solutions, Generative AI solutions and AI Development Tools like Cursor, CoPilot and Claude).

  • AI and/or Data Science use-case development

  • You have an interest in Data Science and understand the difference between Data Engineering and Applied Science

  • You have experience as a Solutions Engineer / Pre-Sales Solutions Architecture as a field of practice (an ability to listen to customer requirements, whiteboard and propose solution architectures, and be hands-on with the tech) to design, build, and demonstrate real business value

  • 3-5 + years of professional work experience in a similar position

  • Enterprise Software and Big Data experience

  • Demonstrated understanding of the challenges in operations, Security and Data Governance within the enterprise

  • Bachelor's Degree in a Technical Field

  • You are on good terms with Infrastructure (Hardware, Storage, Network), Java/.NET, and SQL.

  • You have strong Linux skills

  • Demonstrated Strong Written and verbal Communication skills

  • Demonstrated problem solving and analytical skills

You may also have:

  • Demonstrated knowledge of Big Data Ecosystem (HDFS & YARN, Spark, Impala, KUDU, Solr etc ), can talk to the benefits of a centralized architecture for both data management and data access

  • Streaming experience (Nifi, Kafka, Flink, Spark, etc.)

  • NoSQL experience (HBase, Cassandra, MongoDB, etc.)

  • EDW experience - Teradata, Netezza, GreenPlum, Exadata

  • Data Science and ML experience - (R, Python, Deep Learning Frameworks etc.)

  • Integration Products experience (Talend, DataStage, Informatica BDM, Qlik, Tableau, Zoomdata, IBM, Oracle, etc.)

  • You thrive in a changing environment

  • Four year degree (Bachelor's) from accredited university required

  • Ability to travel domestically and internationally

This role is not eligible for immigration sponsorship

The anticipated annual base salary range for this position is:

Massachusetts: $150,000 - $185,000

New York: $150,000 - $185,000

Connecticut: $150,000 - $185,000

Individual compensation within the published range is determined by the candidate's skills, experience, qualifications, and primary work location. In addition to base pay, sales roles are eligible for Cloudera's commission plan, while non-sales roles are eligible for the corporate incentive plan. All employees receive a comprehensive benefits package.

What you can expect from us:

  • Generous PTO Policy

  • Support work life balance with Unplugged Days

  • Flexible WFH Policy

  • Mental & Physical Wellness programs

  • Phone and Internet Reimbursement program

  • Access to Continued Career Development

  • Comprehensive Benefits and Competitive Packages

  • Paid Volunteer Time

  • Employee Resource Groups

EEO/VEVRAA

#LI-MH2

#LI-Remote