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Entry Level Geospatial Data Engineer Jobs in New York

Neara

Software Engineer II, Agriculture

Manhattan, NY · On-site

$167 - $204/hr

Software Engineer II, AgricultureAbout Onshore Onshore is the modern standard for U.S. companies ... Experience with scientific, trial, or geospatial data. Pay and benefits The annual base salary for ...

New

RADAR

Senior / Staff Platform Engineer

New York, NY · On-site

$114K - $157K/yr

... and data systems in order to make Radar the most reliable and trusted location platform in the ... Our main backend service is a geospatial database written in Rust that we call HorizonDB. * We use ...

KS Engineers, P.C.

Civil Engineer - Entry Level

Newark, NJ · On-site

$60K - $70K/yr

Civil Engineer - Entry Level Reports to: Department Manager - Civil General Qualities: - Strong ... data collection, sign and roadway infrastructure inventory collection, and observation of soil ...

New

KS Engineers, P.C.

Civil Engineer - Entry Level

Newark, NJ · On-site

$60K - $70K/yr

Civil Engineer - Entry Level Reports to: Department Manager - Civil General Qualities: - Strong ... data collection, sign and roadway infrastructure inventory collection, and observation of soil ...

New

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Entry Level Geospatial Data Engineer information

What is an entry level geospatial data engineer?

Entry level geospatial data engineers are professionals who work with geographic information systems (GIS) and spatial data to collect, process, and analyze location-based information. They use programming, data management tools, and mapping software to support projects in fields such as urban planning, environmental science, and logistics. At the entry level, these engineers assist in database maintenance, data cleaning, and creating visualizations while learning industry standards and best practices.

What are the key skills and qualifications needed to thrive as an entry level geospatial data engineer, and why are they important?

To thrive as an Entry Level Geospatial Data Engineer, a solid understanding of GIS concepts, spatial data analysis, and a relevant degree in geography, computer science, or a related field is essential. Familiarity with tools like ArcGIS, QGIS, Python, and SQL, as well as experience with geospatial databases, is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help individuals excel in collaborating with teams and interpreting complex data. These skills ensure accurate geospatial solutions and support critical decision-making in industries like urban planning, environmental management, and logistics.

What are some common challenges faced by entry level geospatial data engineers when working with large spatial datasets?

Entry level geospatial data engineers often encounter challenges related to the size and complexity of spatial datasets, such as slow processing times, data quality issues, and difficulties with data integration from various sources. Learning to use specialized tools like GIS software and spatial databases efficiently is crucial for handling these challenges. Collaborating with more experienced engineers and data scientists can help new hires develop best practices for data cleaning, transformation, and visualization, which are key skills in this role.

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

AspectEntry Level Geospatial Data EngineerGIS Analyst
Required CredentialsBachelor's in GIS, Geography, Computer Science; some certificationsBachelor's in GIS, Geography; certifications like GISP are common
Work EnvironmentData processing, database management, scripting, software developmentMap creation, spatial analysis, data visualization, report generation
Employer & Industry UsageTech firms, government agencies, environmental companiesUrban planning, government agencies, consulting firms
Common Search & ComparisonYesYes

Entry Level Geospatial Data Engineers focus on building and managing spatial data systems, often involving programming and database skills. GIS Analysts primarily analyze and visualize spatial data to support decision-making. While both roles require GIS knowledge, Data Engineers emphasize data infrastructure, whereas Analysts focus on spatial analysis and reporting.

What are entry level geospatial data engineer job titles?

Entry level geospatial data engineer job titles often include roles such as Junior Geospatial Data Engineer, Geospatial Data Analyst, GIS Technician, or GIS Analyst. These positions typically require knowledge of GIS software, spatial databases, and data processing tools, and may involve supporting mapping projects or data management tasks.

What are the most commonly searched types of Geospatial Data Engineer jobs in New York?

The most popular types of Geospatial Data Engineer jobs in New York are:

What are popular job titles related to Entry Level Geospatial Data Engineer jobs in New York?

For Entry Level Geospatial Data Engineer jobs in New York, the most frequently searched job titles are:

What job categories do people searching Entry Level Geospatial Data Engineer jobs in New York look for?

The top searched job categories for Entry Level Geospatial Data Engineer jobs in New York are:

What cities in New York are hiring for Entry Level Geospatial Data Engineer jobs?

Cities in New York with the most Entry Level Geospatial Data Engineer job openings:

Entry Level Geospatial Data Engineer jobs near you

Data Science Specialist

Adidev Technologies Inc

Manhattan, NY • On-site

$90 - $140/hr

Other

Re-posted 16 days ago

Job description

Adidev Technologies Inc www.adidevtechnologies.com URGENT HIRE - HIRING PROCESS - 24-48 HOURS!

Adidev Technologies is seeking 1-2 yrs of relevant experience in Data Science. A project can last anywhere from 6 months to 18 months. Salary varies depending on experience, and we are in search of candidates looking to start as soon as possible. Excellent written and oral communication are required as is the ability to work well in a team environment.

If you are looking for a new challenge and are ready to make an impact on a growing team, then this will be a perfect fit. As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients.

Adidev Technologies is a growing software consulting company that is constantly expanding. As we are working with renowned clients and ready to take on new ones, we are seeking brilliant software engineers. Not only do we offer a great team to work with, but we also offer you an opportunity to make an immediate impact and get rewarded accordingly

Job Description
  • Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization modeling in geospatial, network topography, recommendation systems, environmental systems, and/or agronomic problems.
  • Strong foundation in Python programming in a cloud environment.
  • Strong quantitative abilities, distinctive problem-solving, and excellent analysis skills
  • Expertise in data wrangling using SQL,
  • Practical knowledge and experience with cloud-computing systems and platforms, including the routine deployment of pipelines through Kubernetes
  • Fluency in querying/extracting/aggregating data via SQL scripting.
  • Extract, load and transform data (ETL) from structured and unstructured sources
  • Apply Natural Language Processing and Computer Vision to solve business use cases,
  • Strong skills in scientific data analyses, modeling, visualization and communication of results.
  • Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Spacy, MongoDB, PostgreSQL, Flask, streamlet and a good knowledge of data pipelines construction
  • Ph.D., M.S. or B.S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote Sensing Science, Environmental Sciences, Computational Astronomy or related scientific discipline
Must have
  • Understanding of various machine learning algorithms (e.g. SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering techniques, Neural Networks and others)
  • Regression (e.g. ? Linear/Logistic/MNL/Mixed Effects/Regularization)
  • Classification (K-means, Hierarchical, Latent Class, DBScan, SVM)
  • Dimension Reduction techniques (Principal Component analysis, Singular Value Decomposition etc.)
  • Optimization (Linear programming, Stochastic Gradient Descent, Genetic Algorithm etc.)
  • Experience with neural network approaches to text classification CNN, RNN, LSTM,Keras
  • Machine Learning algorithms? Neural Networks, Naïve Bayes, Bagging & Boosting, Random Forest
  • Distributed computing tools and cloud technology (AWS)
QUALIFICATIONS
  • Degree in Data Science, Computer Science, Engineering, Math, or Statistics preferred
  • At least 2 yrs of relevant experience in Data Science
SKILLS
  • SQL, statistical modeling, Feature engineering, Data visualization, Deploying models to production, Python programming, AWS, Domains(Healthcare/ Manufacturing/ Marketing/ Financial/ Telecommunication), powerbi/tableau, data warehouse
Benefits
  • Competitive Salary
  • Paid Relocation
  • Remote Support
  • Guaranteed Regular Salary Reviews
  • Job Type: W2 or Contract 1099 (full-time - 40 hours)
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