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Senior Geospatial Data Engineer Jobs in Rosedale, MD

Blend360

Senior Data Engineer

Columbia, MD · On-site +1

$115K - $125K/yr

We are seeking a Senior Data Engineer to support a large-scale healthcare data platform initiative focused on modernizing data ingestion, pipeline automation, and semantic layer capabilities within ...

Blend360

Senior Data Engineer

Columbia, MD · On-site

We are seeking a Senior Data Engineer to support a large-scale healthcare data platform initiative focused on modernizing data ingestion, pipeline automation, and semantic layer capabilities within ...

Guidehouse

Data Engineer

Aberdeen, MD

$130K - $216K/yr

Data Engineering & Architecture Consulting, Data Science Consulting Travel Required: Up to 10% ... We are actively hiring for this role at multiple levels (Associate, Senior, and Lead) to support ...

GE Aerospace

Sr AI Data Engineer

Baltimore, MD · On-site

$159K/yr

Summary The Senior Data Engineer designs and builds the AWS-native data foundation behind our enterprise AI applications - knowledge graphs, semantic layers, retrieval corpora, and the pipelines that ...

Blend360

Senior Data Engineer

Columbia, MD · On-site

$105.20K - $142.90K/yr

We're looking for a Data Engineer who is passionate about building modern data products, leveraging AI-powered capabilities, and partnering closely with product teams to drive meaningful outcomes.

Blend360

Senior Data Engineer

Columbia, MD · On-site

$105.20K - $142.90K/yr

We're looking for a Data Engineer who is passionate about building modern data products, leveraging AI-powered capabilities, and partnering closely with product teams to drive meaningful outcomes.

Deloitte

AI Data Engineer - Senior Consultant

Baltimore, MD · Hybrid

$103.80K - $142.60K/yr

As an AI Engineer Senior Consultant , you will design, build, and run the trusted, governed data + feature + retrieval layer used by AI/ML and GenAI solutions. You will deliver reproducible datasets ...

RealmOne

SIGINT Geospatial Analyst 3

Baltimore, MD · On-site

SIGINT Geospatial Analyst 3 Location: Central Maryland Security Clearance Required: Security ... data science and software engineering services and products to customers in the Government and ...

GFT.

Senior GIS Analyst

Baltimore, MD · On-site

$90K - $115K/yr

This is an excellent opportunity to join and enhance a diverse team working on geospatial data ... Builder Developer editions. * Client-focused and service-oriented. * Excellent analytical ...

RealmOne

SIGINT Geospatial Analyst 3

Columbia, MD · On-site

Job Brief SIGINT, geospatial Ready to work with a RESILIENT team at RealmOne? RealmOne was built on ... data science and software engineering services and products to customers in the Government and ...

Beacon Staffing Alternatives, Inc.

Be Seen First

Senior Data Analyst

Baltimore, MD · On-site

$80 - $95/hr

Support team members in conducting advanced data analytics, including data modeling geospatial ... Proficiency in a scripting or analytical programming language such as Python or R.

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Senior Geospatial Data Engineer information

See Rosedale, MD salary details

$77.7K

$121.2K

$167.8K

How much do senior geospatial data engineer jobs pay per year?

As of Jun 3, 2026, the average yearly pay for senior geospatial data engineer in Rosedale, MD is $121,166.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,700.00 and $138,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Senior Geospatial Data Engineer, and why are they important?

To thrive as a Senior Geospatial Data Engineer, you need advanced expertise in geospatial analysis, spatial databases, and programming languages like Python or SQL, often backed by a degree in GIS, computer science, or related fields. Familiarity with GIS platforms (such as ArcGIS or QGIS), cloud computing services, and big data frameworks is typically required, along with relevant certifications in GIS or cloud technologies. Strong problem-solving, communication, and project leadership skills set top performers apart in this role. These competencies are essential for designing and implementing scalable geospatial solutions that accurately support decision-making and organizational goals.

What are some typical challenges a Senior Geospatial Data Engineer faces when integrating diverse data sources?

One common challenge is ensuring data compatibility and consistency across various formats, such as raster, vector, and tabular data, which often originate from different providers or systems. Senior Geospatial Data Engineers must address issues like differing coordinate reference systems, data quality, and incomplete metadata. Collaborating closely with data scientists, GIS analysts, and software developers is crucial to develop robust pipelines and resolve integration issues efficiently. Staying updated with evolving geospatial technologies and standards also plays a key role in overcoming these challenges.

What is a Senior Geospatial Data Engineer?

A Senior Geospatial Data Engineer is a specialized data professional who designs, develops, and maintains systems that process and analyze spatial or geographic data. They work with large geospatial datasets, build data pipelines, and develop scalable solutions for mapping, location intelligence, and spatial analytics. These engineers often collaborate with data scientists, GIS specialists, and software developers to integrate geospatial data into applications and decision-making processes. Their expertise includes working with GIS software, spatial databases, and cloud-based geospatial tools. Senior-level engineers typically also mentor junior staff and help set technical direction for geospatial projects.

What is the difference between Senior Geospatial Data Engineer vs Geospatial Data Analyst?

AspectSenior Geospatial Data EngineerGeospatial Data Analyst
CredentialsBachelor's or Master's in GIS, Computer Science, or related field; experience with GIS software and programmingBachelor's or Master's in Geography, GIS, or related field; proficiency in GIS tools and data analysis
Work EnvironmentData engineering teams, GIS departments, tech companies, government agenciesResearch teams, GIS departments, consulting firms, government agencies
Employer & Industry UsageTech firms, environmental agencies, urban planning, transportationResearch institutions, government agencies, consulting firms

The Senior Geospatial Data Engineer focuses on building and maintaining geospatial data infrastructure, pipelines, and systems, often requiring programming and data engineering skills. In contrast, the Geospatial Data Analyst primarily interprets and visualizes geospatial data to support decision-making. Both roles require GIS knowledge but differ in technical depth and focus areas.

Senior Geospatial Data Engineer jobs near you
Senior Data Engineer

Senior Data Engineer

Blend360

Columbia, MD • On-site, Remote

$115K - $125K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago

Job description

Company Description
At Blend360, we help organizations transform complex data into actionable insights through modern cloud platforms, advanced analytics, and AI-driven solutions. We partner with leading enterprises across healthcare, telecommunications, financial services, and retail to build scalable, high-impact data ecosystems that drive smarter business decisions.
Job Description
We are seeking a Senior Data Engineer to support a large-scale healthcare data platform initiative focused on modernizing data ingestion, pipeline automation, and semantic layer capabilities within Google Cloud Platform (GCP). This role will play a key part in designing and delivering scalable, reliable, and business-ready data solutions that support enterprise analytics, operational reporting, and data-driven decision-making.
The ideal candidate brings strong hands-on engineering expertise, deep experience with cloud-native data platforms, and a passion for building modern, scalable data architectures in complex enterprise healthcare environments.
What You'll Do
  • Design, develop, and optimize scalable data pipelines supporting enterprise healthcare analytics and reporting initiatives
  • Build and automate ingestion frameworks for structured and semi-structured healthcare data sources
  • Develop and expand semantic data layers in GCP and BigQuery to support trusted, consistent analytics consumption across business teams
  • Design and implement scalable ELT/ETL workflows using modern cloud-native architecture patterns
  • Automate orchestration, monitoring, and operational processes across the data platform
  • Partner with architects, analytics teams, and business stakeholders to translate requirements into scalable technical solutions
  • Optimize BigQuery performance, partitioning, and query efficiency to improve scalability and cost management
  • Implement engineering best practices for testing, observability, reliability, deployment automation, and operational support
  • Contribute to data governance, metadata management, and data quality initiatives across the platform
  • Mentor junior engineers and contribute to a collaborative, high-performing engineering culture

Qualifications
  • Strong expertise in Google Cloud Platform (GCP), including:
    • BigQuery
    • Cloud Storage
    • Cloud Composer or orchestration tooling
    • Dataflow or modern ingestion frameworks
  • Experience designing and building scalable data ingestion and pipeline automation solutions
  • Strong understanding of semantic layer development and dimensional modeling concepts
  • Advanced SQL and Python development skills
  • Experience with ELT/ETL pipeline design, orchestration, and optimization
  • Familiarity with CI/CD pipelines, infrastructure automation, and cloud engineering best practices
  • Strong understanding of data quality, observability, and operational reliability principles

Preferred Experience
  • Experience working within healthcare data ecosystems and regulated enterprise environments
  • Familiarity with healthcare analytics platforms, payer/provider data models, or healthcare interoperability standards
  • Experience supporting enterprise BI and analytics initiatives
  • Exposure to dbt, Looker, or semantic modeling frameworks is a plus

Required Experience
  • 5+ years of experience in data engineering or cloud data platform development
  • Proven experience delivering enterprise-scale cloud data solutions within GCP environments
  • Experience contributing to large-scale data modernization or analytics transformation initiatives
  • Consulting or client-facing delivery experience strongly preferred

What Makes You Successful
  • You are passionate about building scalable, maintainable, and high-performing cloud-native data solutions
  • You thrive in collaborative, fast-paced delivery environments
  • You balance strong technical execution with effective communication and stakeholder collaboration
  • You bring a mindset of ownership, curiosity, and continuous improvement to your work
  • You enjoy solving complex data challenges and driving measurable business impact through technology

Additional Information
#LI-AJ1
The starting pay range for this role is $115k - $125k. Actual compensation within the range will be dependent on several factors including but not limited to relevant experience, skills, certifications, training, and location. It is not typical for an individual to be hired at or near the top of the range and determining factors for compensation are considered for each individual circumstance. BLEND360 also offers a competitive benefits program to meet the health and financial well-being of our team and their families. You can look forward to a range of benefits including medical, dental, vision, 401K, PTO, paid holidays, commuter benefits, spending accounts, life insurance, disability coverage, and EAPs.

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