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Geospatial Data Engineer Remote Jobs in Ohio (NOW HIRING)

SENIOR DATA ARCHITECT - DIGITAL HEALTH

Dayton, OH · On-site +1

$65.25 - $87.50/hr

... programming (Python/Scala) * Experience with Azure ecosystem, preferable * Knowledge of Linux OS * Familiarity with machine learning and data science concepts Benefits * Fully Remote work-from-home ...

Data Architect / Data Engineer (contract and direct hire) - Cincinnati, OH Overview Vaco is seeking ... The engagement is fully remote and contract-based. Location: Must be in Cincinnati, OH Contract ...

AI Data Architect

Columbus, OH · On-site +1

$83.20K - $178.80K/yr

You will bridge advanced data engineering, governance, and AI/ML model lifecycle requirements to ... However, the remote location must within the US. How you'll spend your time: * Define and implement ...

SENIOR DATA ARCHITECT - DIGITAL HEALTH

Dayton, OH · On-site +1

$65.25 - $87.50/hr

... programming (Python/Scala) * Experience with Azure ecosystem, preferable * Knowledge of Linux OS * Familiarity with machine learning and data science concepts Benefits * Fully Remote work-from-home ...

Whether you are a passionate orchestration guru or experienced software developer -- we want you to ... Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output.

Data Engineer- Full Stack

Mason, OH · Remote

$138.80K - $232.70K/yr

... Remote #LI-CH2 What you'll do... * Design and implement end-to-end data pipelines (ETL/ELT) that ... Mentor and coach junior engineers on data engineering, AI/ML integration patterns, prompt ...

AI Automation Engineer -Remote

Cleveland, OH · On-site +1

$202.38K - $234.20K/yr

Act as a high-trust owner of systems that may handle sensitive data or business-critical logic ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

AI Automation Engineer -Remote

Bowling Green, OH · On-site +1

$202.38K - $234.20K/yr

Act as a high-trust owner of systems that may handle sensitive data or business-critical logic ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

AI Automation Engineer -Remote

Toledo, OH · On-site +1

$202.38K - $234.20K/yr

Act as a high-trust owner of systems that may handle sensitive data or business-critical logic ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

AI Automation Engineer -Remote

Columbus, OH · On-site +1

$202.38K - $234.20K/yr

Act as a high-trust owner of systems that may handle sensitive data or business-critical logic ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

$149K/yr

Microsoft 365 Integration Engineer (Remote) Location: Canada We are seeking a hands-on technical ... Execute integration testing, including authentication flows, data access scenarios, and ...

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Geospatial Data Engineer Remote information

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 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 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 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 most commonly searched types of Geospatial Data Engineer jobs in Ohio? The most popular types of Geospatial Data Engineer jobs in Ohio are:
What job categories do people searching Geospatial Data Engineer Remote jobs in Ohio look for? The top searched job categories for Geospatial Data Engineer Remote jobs in Ohio are:
What cities in Ohio are hiring for Geospatial Data Engineer Remote jobs? Cities in Ohio with the most Geospatial Data Engineer Remote job openings:
SENIOR DATA ARCHITECT - DIGITAL HEALTH

SENIOR DATA ARCHITECT - DIGITAL HEALTH

Premier Health

Dayton, OH • On-site, Remote

$65.25 - $87.50/hr

Other

Medical, Retirement, PTO

Posted 14 days ago


Job description

DEPT: Digital Health & Technology Analytics 

Full-Time / REMOTE

Are you passionate about leveraging data to drive healthcare forward? Premier Health is looking for an experienced Senior Data Architect to enrich our team. This role promises the chance to make substantial contributions to the healthcare industry by ensuring data integrity, governance, and facilitating innovative solutions. As a beacon of excellence, Premier Health offers an inclusive culture where your contributions matter. We're celebrated for our commitment to employee satisfaction and fostering a connected workplace. By joining us, you'll help influence healthcare delivery while working in an environment that's as nurturing as it is stimulating.

REMOTE: This position can work remotely from out-of-state within the continental United States. Candidates must be eligible to work in the United States. Preference to candidates within 600 miles - in same or similar contiguous time zone to Dayton, Ohio (Eastern Standard Time) 

Responsibilities

  • Design and maintain optimal data architectural solutions
  • Address complex data challenges to enhance business insight delivery
  • Develop advanced data products to aid analytics initiatives
  • Mentor and lead in data standards, practices, and governance
  • Promote a culture of knowledge sharing and efficient data solutions
  • Guide the integration of new analytical tools and processes
  • Implement strategic communication plans for data capabilities
  • Collaborate on technical architectures for major enterprise projects

Requirements

  • Bachelor's Degree in IT, Computer Science, MIS, or related field
  • 5-7 years' experience in relevant data engineering/architecture roles
  • Proficiency in SQL, data analysis, and programming (Python/Scala)
  • Experience with Azure ecosystem, preferable
  • Knowledge of Linux OS
  • Familiarity with machine learning and data science concepts

Benefits

  • Fully Remote work-from-home Flexibility
  • Comprehensive Health Benefits
  • Generous paid vacation/ Time-Off-Program
  • 401(k) with Employer Match
  • Continuous Learning & Career Advancement Opportunities
  • Inclusive & Supportive Company Culture

Are you ready to take the next step in your career and have a significant impact on the healthcare industry? Premier Health invites you to become a part of our dynamic team as a Senior Data Architect. Dive into a role where your work contributes to real change and where every project advances our mission. Apply now and join a community that celebrates your passion and dedication to excellence.

Minimum Education: Bachelor's degree  

Type of degree: Bachelor's degree

            *** years of relevant work experience will be considered in lieu of formal college degree. *** Bachelors required

Area of study or major: Information Technology, Computer Science, MIS, or engineering preferred Information Technology, Computer Science, MIS, or engineering preferred

Preferred educational qualifications: Engineering and Computer Science Engineering and Computer Science

Experience

 

Minimum Level of Experience Required: 5 - 7   5 - 7 years of job related experience years of job related experience

Prior job title or occupational experience:   Data Governance, Data Engineer, IT Engineer, and Platform Engineer Data Engineer, IT Engineer, and Platform Engineer

Prior specific functional responsibilities:  5 years of experience working in data engineering or architectural roles & 7 years preferred. 5 years' experience working in data engineering or architectural roles &+ years preferred. .

Preferred experience:   Expertise in SQL and data analysis and experience with at least one programming language (Python or Scala preferred); Experience developing and maintaining data warehouses in big data solutions; Experience with developing solutions on Azure using its core services ADF, ADLS, Blob, and Fabric (preferred); Database development experience using Hadoop or BigQuery and experience with a variety of relational, NoSQL, and cloud database technologies; Worked with BI tools such as Tableau, Power BI, Looker, Shiny Conceptual knowledge of data and analytics, such as dimensional modeling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data;. Big Data Development experience using Spark, Databricks, Impala, and familiarity with Kafka (Preferred); Familiarity with the Linux operating system (Preferred); Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics  Expertise in SQL and data analysis and experience with at least one programming language (Python or Scala preferred); Experience developing and maintaining data warehouses in big data solutions;    Experience with developing solutions on Azure using its core services ADF, ADLS, Blob, and Synapse (preferred); Database development experience using Hadoop or BigQueryand experience with a variety of relational, NoSQL, and cloud database technologies; Worked with BI tools such as Tableau, Power BI, Looker, Shiny Conceptual knowledge of data and analytics, such as dimensional modeling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data;. Big Data Development experience using Spark, Databricks, Impala, and familiarity with Kafka (Preferred); Familiarity with the Linux operating system (Preferred); Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics      

Other experience requirements:  Ability to concisely and effectively interact with key roles within the Agile team; Self-motivated with strong problem-solving and learning skills Flexibility to changes in work direction as the project develops Excellent communication, listening, and influencing skills Ability to concisely and effectively interact with key roles within the Agile team; Self-motivated with strong problem-solving and learning skills Flexibility to changes in work direction as the project develops Excellent communication, listening, and influencing skills