1

Contract Geospatial Data Engineer Jobs in Pennsylvania

Data Engineer - Databricks

Pittsburgh, PA · On-site

$111K - $133K/yr

Data Engineer - Azure Databricks Contract-to-Hire Pittsburgh, PA - Onsite Job ID J0726-0569 Visa : USC, GC, EAD (No Sponsorship) Position Overview * Seeking an experienced Data Engineer to join a ...

Data Engineer - Databricks

Pittsburgh, PA · On-site

$107K - $128K/yr

Data Engineer - Azure Databricks Contract-to-Hire Pittsburgh, PA - Onsite Job ID J0726-0569 Visa : (No Sponsorship) Position Overview * Seeking an experienced Data Engineer to join a high-performing ...

ELIGIBLE FOR UP TO 12K SIGNING BONUS As a Geospatial Engineer, you'll provide invaluable ... You'll extract and analyze geographic data from satellite imagery, photography, and field ...

Data Engineer - Databricks

Pittsburgh, PA · On-site

$108K - $130K/yr

Contract Role Overview We are seeking an experienced Data Engineer with strong expertise in Databricks, Python, and Spark to design and build scalable data pipelines. The ideal candidate will have ...

GIS Specialist

University Park, PA · On-site +1

$54K - $78K/yr

... geospatial systems, programming, and data analytical tools including the ESRI suite, Python, and R analytics. Preferred Qualification: A degree in the field of geography and GIS systems or ...

$54K - $78K/yr

... geospatial systems, programming, and data analytical tools including the ESRI suite, Python, and R analytics. Preferred Qualification: A degree in the field of geography and GIS systems or ...

Senior Software Engineer

Pittsburgh, PA · On-site

$118K - $147K/yr

Geospatial Data Processing * Computer Vision * AI & Machine Learning * LiDAR * Robotics/Self ... Programming experience in C++ or JavaScript * Experience with Agile processes like Scrum Benefits ...

Data Engineer

Lititz, PA · On-site

$106K - $127K/yr

Partner with the Integration team and Data Architect to define data contracts, APIs, event patterns ... Own engineering work from discovery through production support, including estimation, design ...

Data Engineer

Lititz, PA

$106K - $127K/yr

Partner with the Integration team and Data Architect to define data contracts, APIs, event patterns ... Own engineering work from discovery through production support, including estimation, design ...

Experience: You bring 4+ years of experience in data engineering, with a strong technical ... inform contract design or shared savings arrangements. * Strategic problem-solver: You thrive in ...

Data Engineer - onsite

Hanover, PA · On-site

$110K - $132K/yr

Contract Compensation: 55-70/hr W-2, depending on experience Work Model: Onsite US Citizenship required by federal client Responsibilities * Assign a dedicated Data Engineer to serve as the primary ...

New

Sr Data Engineer

Philadelphia, PA · On-site +1

$115K - $138K/yr

Help establish standards for data contracts, schema evolution, data quality, lineage, and data ownership. MDM / Reltio Data Engineering Enablement * Design and build data pipelines that load source ...

Sr Data Engineer

Philadelphia, PA

$115K - $138K/yr

Help establish standards for data contracts, schema evolution, data quality, lineage, and data ownership. MDM / Reltio Data Engineering Enablement * Design and build data pipelines that load source ...

Sr Data Engineer

Philadelphia, PA

$115K - $138K/yr

Help establish standards for data contracts, schema evolution, data quality, lineage, and data ownership. MDM / Reltio Data Engineering Enablement * Design and build data pipelines that load source ...

Data Engineer[Hybrid-remote]

Harrisburg, PA · On-site

$113K - $135K/yr

(Data Engineer) Location: Harrisburg, PA Visa: Any visa except CPT, TN and GC (PP number is ... Contract end date is dependent on the final schedule and projected needs. Historically additional ...

Sr. Data Engineer

Wayne, PA · On-site

$96K - $130K/yr

Requirement - Sr. Data Engineer Location- * 1041 West Valley Road Wayne, Pennsylvania 19087 * 7900 Windrose Ave Plano, Texas 75024 * 2525 Water Ridge Pkwy, Charlotte, NC 28217 Contract W2 Top ...

Showing results 21-40

Contract Geospatial Data Engineer information

What are the key skills and qualifications needed to thrive as a contract geospatial data engineer?

To thrive as a Contract Geospatial Data Engineer, you need expertise in GIS principles, spatial analysis, data modeling, and proficiency with languages like Python or SQL, typically supported by a degree in geography, computer science, or a related field. Familiarity with technologies such as ESRI ArcGIS, QGIS, remote sensing platforms, and cloud-based geospatial systems, as well as certifications like GISP, is often required. Strong problem-solving, attention to detail, and effective communication skills help you interpret complex data and collaborate across project teams. These skills ensure accurate, efficient handling of geospatial data crucial for informed decision-making in diverse industries.

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

AspectContract Geospatial Data EngineerGIS 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 EnvironmentProject-based, technical, often remote or on-siteOffice or fieldwork, data analysis, map creation
Employer & Industry UsageTech firms, government agencies, environmental companiesUrban planning, environmental agencies, consulting firms

The Contract Geospatial Data Engineer focuses on building and maintaining GIS data systems, often requiring programming skills, while a GIS Analyst primarily analyzes spatial data and creates maps. Both roles are essential in GIS projects but differ in technical depth and responsibilities.

What is a contract geospatial data engineer?

Contract Geospatial Data Engineers are professionals who specialize in managing, analyzing, and visualizing spatial data on a temporary or project-based contract. They use geographic information systems (GIS), remote sensing, and data engineering tools to process location-based data for various industries such as urban planning, environmental science, or logistics. Unlike full-time employees, contract engineers typically work for a set duration or on specific projects, offering flexibility to employers and a variety of work for the engineer. Their expertise helps organizations make data-driven decisions based on spatial analysis.

What are some common challenges faced by contract geospatial data engineers when working with diverse datasets from multiple sources?

Contract Geospatial Data Engineers often encounter challenges related to data integration and quality control, as datasets can come in various formats, projections, and levels of accuracy. Ensuring compatibility and consistency across sources requires strong attention to detail and proficiency with geospatial tools such as GIS software and scripting languages. Additionally, contractors must quickly adapt to the unique workflows and expectations of different clients or teams, making effective communication and project management skills essential. These challenges are balanced by the opportunity to work on a variety of projects and expand expertise in different geospatial domains.

What are popular job titles related to Contract Geospatial Data Engineer jobs in Pennsylvania?

For Contract Geospatial Data Engineer jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Contract Geospatial Data Engineer jobs in Pennsylvania look for?

The top searched job categories for Contract Geospatial Data Engineer jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Contract Geospatial Data Engineer jobs?

Cities in Pennsylvania with the most Contract Geospatial Data Engineer job openings:

Data Engineer - Databricks

System One

Pittsburgh, PA • On-site

$111K - $133K/yr

Contractor

Posted 23 days ago


Job description

Data Engineer – Azure Databricks Contract-to-Hire Pittsburgh, PA – Onsite Job ID J0726-0569 Visa : USC, GC, EAD (No Sponsorship) Position Overview

  • Seeking an experienced Data Engineer to join a high-performing data engineering team responsible for building modern, cloud-native data platforms on Microsoft Azure.
  • This role will focus on designing and implementing scalable, secure, and high-performance data solutions using Azure Databricks, Apache Spark, PySpark, SQL, Delta Lake, and Unity Catalog. The position requires strong expertise in enterprise data governance, metadata management, security, and access control within the Investment Banking, Securities, or Capital Markets domain.
  • The ideal candidate is passionate about cloud data engineering, enjoys solving complex data challenges, and thrives in a collaborative Agile environment.
Required Competencies Competency Importance Proficiency Level
  • Apache Spark
  • Required
  • Expert
  • Microsoft Azure
  • Required
  • Advanced
  • Investment Banking and Securities
  • Required
  • Advanced
  • Structured Query Language – SQL
  • Required
  • Expert
  • Unity Catalog
  • Required
  • Advanced
  • Databricks
  • Required
  • Expert
Key Responsibilities
  • Design, develop, and maintain scalable data pipelines using Azure Databricks.
  • Build and optimize ETL and ELT workflows using PySpark, SQL, Apache Spark, and Delta Lake.
  • Implement and manage Unity Catalog for enterprise data governance, metadata management, security, and fine-grained access control.
  • Develop cloud-native data engineering solutions on the Microsoft Azure platform.
  • Collaborate with architects, business analysts, and cross-functional teams to translate business requirements into technical solutions.
  • Optimize Spark jobs and data pipelines for performance, scalability, and cost efficiency.
  • Ensure data quality, reliability, governance, and regulatory compliance through validation, monitoring, and engineering best practices.
  • Support production deployments, troubleshooting, root-cause analysis, and performance tuning.
  • Participate in code reviews, technical documentation, and continuous improvement initiatives.
  • Apply cloud data engineering, security, CI/CD, and DevOps best practices within Azure environments.
Required Qualifications
  • 8+ years of overall data engineering or related technology experience preferred.
  • Minimum 5 years of hands-on Azure Databricks experience.
  • Mandatory hands-on experience implementing and managing Unity Catalog.
  • Expert-level experience with Apache Spark, PySpark, and SQL.
  • Strong experience developing enterprise-scale data engineering solutions on Microsoft Azure.
  • Strong experience with Delta Lake, ETL/ELT development, and data pipeline implementation.
  • Experience with Azure Data Factory and Azure Data Lake Storage Gen2.
  • Strong knowledge of the Microsoft Azure data ecosystem.
  • Strong understanding of data governance, metadata management, data security, and access control.
  • Mandatory experience within Investment Banking, Securities, or Capital Markets.
  • Experience using Git and implementing CI/CD practices.
  • Experience working in Agile/Scrum delivery environments.
  • Excellent analytical, communication, and problem-solving skills.
  • Must be willing to work onsite in Pittsburgh, PA.
  • Must be willing and eligible to convert to full-time employment after six months.
Preferred Qualifications
  • Databricks Certified Data Engineer Associate or Professional certification.
  • Microsoft Certified Azure Data Engineer Associate, DP-203.
  • Experience with Infrastructure as Code using Terraform or Bicep.
  • Experience implementing DevOps practices for Azure Databricks environments.
  • Familiarity with Microsoft Purview or Azure Purview.
#M1 #DI-CB2 #L1 - KB1 Ref: #404-IT Pittsburgh