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Contract Geospatial Data Engineer Jobs in Reading, PA

Senior Data Analyst, location is Hybrid/Onsite. The start date is ASAP for this contract-to-hire ... Collaborate with data science, engineering, and reporting teams to deliver standardized data ...

Data Architect (DWH)

Reading, PA · On-site

$61.25 - $78.75/hr

Contract * 14+ years of experience in IT * 12+ years of Data Engineering, Data Modeling, Data Warehousing, Master Data Management, Reference Data Management, Data Lineage, Data Governance and Meta ...

Collaborate with data science, engineering, and reporting teams to deliver standardized data ... Knowledge of geospatial analysis or ESRI/ArcGIS concepts * Experience supporting cloud and on ...

Collaborate with data science, engineering, and reporting teams to deliver standardized data ... Knowledge of geospatial analysis or ESRI/ArcGIS concepts * Experience supporting cloud and on ...

Propose engineering documents for clients' approval, on-site installation and hands-on monitoring ... Shall be responsible for preparing all necessary reports as specified in the contract's documents ...

Intern-Paid (Assessment Department)

Mohnton, PA · On-site

$13.50 - $17.75/hr

... geospatial analysis, parcel mapping, or property data. * Ability to handle stress. * Physical ... It is not intended to create a binding employment contract nor cover every detail of the position ...

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Contract Geospatial Data Engineer information

See Reading, PA salary details

$5

$44

$86

How much do contract geospatial data engineer jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for contract geospatial data engineer in Reading, PA is $44.78, according to ZipRecruiter salary data. Most workers in this role earn between $34.38 and $55.38 per hour, depending on experience, location, and employer.

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 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 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 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 are popular job titles related to Contract Geospatial Data Engineer jobs in Reading, PA?

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

What job categories do people searching Contract Geospatial Data Engineer jobs in Reading, PA look for?

The top searched job categories for Contract Geospatial Data Engineer jobs in Reading, PA are:

F2F INTERVIEW||C2H ROLE||DATA PLATFORM ENGINEER||READING, PA (HYBRID ROLE)

Reading, PA • On-site

Other

Posted 17 days ago


Job description

Hi,

Hope you are doing well

I have an urgent opening of Data Platform Engineer at Reading, PA

F2F INTERVIEW||C2H ROLE||DATA PLATFORM ENGINEER||READING, PA (HYBRID ROLE)

 

 

Position Type: Right to Hire
Location: Reading, PA, United States
Description:

Data Platform Engineer

Location: Reading, PA
6 months Contract-to-Hire
Hybrid role, 2-days onsite
Interview: Onsite Interview
Conversion base salary: 120K-140K plus bonus and benes. 
Description:
The hiring manager is looking for a candidate with a multi-platform background. The manager himself manages everything, including Oracle, Snowflake, MongoDB (except DB2). Therefore, it would be challenging for someone with just one product background to be successful in this role, they need to be multi-platform skilled.
Data Platform Engineer I
We are seeking a highly skilled Data Platform Engineer to support the design, administration, optimization, security, and modernization of enterprise data platforms across on-premises, cloud, and hybrid environments. This role is responsible for ensuring the reliability, performance, scalability, and security of mission-critical transactional, operational, analytical, and emerging AI-enabled data workloads.
The ideal candidate will possess deep expertise in enterprise database technologies, with a strong emphasis on Oracle platforms including Oracle Exadata, RAC, Data Guard, ASM, RMAN, OEM, OCI, Autonomous Database, and Exadata
Cloud Services. The role also requires experience supporting and optimizing SQL Server, PostgreSQL, MySQL, and Snowflake environments while driving automation, cloud adoption, and platform modernization initiatives.
Key Responsibilities

  • Design, implement, administer, and support enterprise data platform solutions across on-premises, cloud, and hybrid environments.
  • Lead database platform upgrades, migrations, consolidations, cloud transformations, and modernization initiatives.
  • Optimize platform performance through advanced query tuning, indexing strategies, execution plan analysis, partitioning, resource management, and capacity planning.
  • Develop and maintain high-availability architectures, backup and recovery solutions, replication technologies, and disaster recovery strategies to ensure business continuity.
  • Implement and enforce database security standards, including encryption, auditing, vulnerability management, access controls, and regulatory compliance requirements.
  • Automate operational processes and infrastructure provisioning using scripting and Infrastructure-as-Code technologies such as Python, PowerShell, Shell scripting, Terraform, and Ansible.
  • Provide Tier 3 production support, troubleshoot complex technical issues, and perform root cause analysis for critical incidents.
  • Establish and maintain database engineering standards, operational procedures, and best practices.
  • Partner with application, infrastructure, cloud, analytics, and cybersecurity teams to deliver scalable, secure, and resilient data platforms.
  • Mentor junior engineers and contribute to knowledge sharing and technical leadership across the organization.


Required Qualifications

  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline, or equivalent work experience.
  • 10+ years of experience administering and supporting enterprise database platforms in large-scale environments.
  • Advanced expertise with Oracle Database technologies, including Exadata, RAC, Data Guard, ASM, RMAN, OEM, and OCI services.
  • Strong experience supporting SQL Server, PostgreSQL, MySQL, and Snowflake environments.
  • Minimum of 5 years of experience managing Oracle Exadata platforms.
  • Experience designing and supporting cloud-based and hybrid architectures in AWS, Microsoft Azure, and Oracle Cloud Infrastructure (OCI).
  • Proven expertise in database performance tuning, troubleshooting, capacity planning, and reliability engineering.
  • Strong SQL development, database design, and data modeling skills.
  • Experience supporting highly available, mission-critical systems operating in 24x7 production environments.


Preferred Qualifications

  • Oracle OCP, OCM, or equivalent cloud platform certifications.
  • Experience with NoSQL technologies, including MongoDB, Cassandra, DynamoDB, Cosmos DB, Redis, or Couchbase.
  • Familiarity with vector databases, graph databases, geospatial data technologies, and modern data architecture patterns.
  • Understanding of Artificial Intelligence and Machine Learning concepts, including Generative AI, semantic search, embeddings, vector search, and Retrieval-Augmented Generation (RAG) architectures.
  • Experience leading enterprise database strategy, cloud transformation, platform modernization, and automation initiatives.
  • Exposure to DevOps, Site Reliability Engineering (SRE), and DataOps practices.

Regards,
 
Nitin Gupta
Resources Manager
ShiftCode Analytics Inc.,
5118 Sylvester loop Tampa,
Florida 33610
Direct:
Email: