Jobs › Companies › CACI › Senior Geospatial Data Engineer

Über diese Senior Geospatial Data Engineer Stelle bei CACI

CACI · Vor Ort · Denver, CO, US
Job Title: Senior Geospatial Data Engineer

Job Category: Engineering

Time Type: Full time

Minimum Clearance Required to Start: TS/SCI with Polygraph

Employee Type: Regular

Percentage of Travel Required: Up to 10%

Type of Travel: Local

Anticipated Posting End: There is not an anticipated end date for this posting since applications are needed on an ongoing basis.


The Opportunity:

CACI's AGIS Release Train delivers the geospatial data infrastructure and analytical capabilities that NGA analysts rely on every day to drive intelligence decisions. Our team operates at the intersection of cutting-edge open-source geospatial technology and mission-critical intelligence workflows — building the pipelines, visualization tools, and analytical environments that transform raw geospatial data into decision advantage.

As a Senior Geospatial Data Engineer, you will lead pipeline development, tool integration, and visualization capability delivery across a FOSS4G-centric stack. You will work directly with NGA mission users and AGIS delivery teams to shape how intelligence professionals interact with geospatial data — from ingest all the way to analyst-facing visualization.

Responsibilities:

  • Design and deliver end-to-end geospatial data pipelines from ingest through analyst-facing visualization, leveraging GDAL/OGR-based transformation and processing across diverse data formats
  • Develop and maintain Python-based analytical environments via Jupyter Notebooks tailored to NGA mission user workflows
  • Manage GeoParquet datasets within the program's data lake architecture; implement and extend columnar format pipelines for production use
  • Administer ArcGIS Server services and portal configurations; integrate with the FOSS4G toolchain including QGIS, GeoServer, and MapServer
  • Collaborate with the AGIS Search team on spatial data indexing and AI-assisted retrieval integration
  • Lead technical refinement sessions and provide PI Planning input on data engineering epics and cross-team dependencies

 

Qualifications:

Required:

  • Active TS/SCI clearance and polygraph preferred
  • 7+ years of software or data engineering experience with at least 5 years experience in geospatial domains
  • Proficiency in the Python geospatial stack: GDAL, Fiona, Shapely, GeoPandas, Rasterio
  • Strong Jupyter Notebook development experience for analytical and mission workflows
  • Working knowledge of the FOSS4G ecosystem (QGIS, GeoServer, MapServer, GRASS)
  • GeoParquet/columnar format experience in production environments
  • ArcGIS Server and ArcGIS Enterprise administration
  • B.S. in Geography, GIS, Computer Science, or related field (equivalent experience accepted)

Desired:

  • Familiarity with OGC service standards (WMS, WFS, WCS)
  • Experience operating within SAFe or Agile delivery frameworks

This position is contingent on funding and may not be filled immediately. However, this position is representative of positions within CACI that are consistently available. Individuals who apply may also be considered for other positions at CACI.

What You Can Expect:

 A culture of integrity.

At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high-performing group dedicated to our customer’s missions and driven by a higher purpose – to ensure the safety of our nation.

An environment of trust.

CACI values the unique contributions that every employee brings to our company and our customers - every day. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.

A focus on continuous growth.

Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground — in your career and in our legacy.


Pay Range:

There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.

The proposed salary range for this position is:

$108,400 - 227,500 USD

CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.
Bereit, sich bei CACI zu bewerben?
Bei CACI bewerben

Wie sich dieses Gehalt für Data Engineer vergleicht

Diese Stelle zahlt $167,950/yr — im Einklang mit der üblichen Spanne für Data Engineer Stellen.

$101,500 dem Median $164,500 $240,000

Übliche Spanne $128,675–$194,123/yr, aus 1,794 vergleichbaren Data Engineer Anzeigen auf JobsRadar (Vergütung auf USD hochgerechnet). Gehaltseinblicke für Data Engineer ansehen →

Über CACI

Click on Search Jobs to find and apply to CACI openings.

Alle Jobs bei CACI ansehen →

Ähnliche Jobs

QTS Data Centers
Development Project Engineer (Data Center Construction OFCIR)
QTS Data Centers
⚡ Früh bewerben US CO Denver 1 DC1 Vor Ort
● Neu 👁 Gesehen ✓ Beworben vor 2 Tg.
Crusoe
[Electrical Design Engineer, Modular Data Centers - Data Center
Crusoe
⚡ Früh bewerben San Francisco, CA - US Vor Ort $170,000–$180,000
● Neu 👁 Gesehen ✓ Beworben vor 2 Wo.
Crusoe
Senior Staff Data Center Systems Engineer, R&D
Crusoe
⚡ Früh bewerben Denver, CO - US Vor Ort $188,000–$235,000
● Neu 👁 Gesehen ✓ Beworben vor 2 Wo.
PwC
Applied AI Health Data System Engineer-Senior Manager
PwC
⚡ Früh bewerben NY-New York Vor Ort $124,000–$280,000
● Neu 👁 Gesehen ✓ Beworben vor 4 Wo.
CACI
Data Engineer/Software Integrator
CACI
⚡ Früh bewerben Denver, CO, US Vor Ort $76,000–$155,700
● Neu 👁 Gesehen ✓ Beworben vor 2 Mon.
Euromonitor
Senior Software Engineer - Data Science & AI
Euromonitor
⚡ Früh bewerben Bengaluru, Karnataka, India Vor Ort
● Neu 👁 Gesehen ✓ Beworben vor 6 Std.
42dot
Senior ML Engineer (AI Data)
42dot
⚡ Früh bewerben Pangyo (Software Dream Center)... Hybrid
● Neu 👁 Gesehen ✓ Beworben vor 7 Std.
MUFG
Principal Platform Engineer - AI & Data
MUFG
⚡ Früh bewerben Jersey City, NJ Hybrid 🛂 Visa-Sponsoring
● Neu 👁 Gesehen ✓ Beworben vor 7 Std.
QR
Software Engineer - Data Platforms
Qube Research & Technologies
⚡ Früh bewerben Hong Kong Vor Ort
● Neu 👁 Gesehen ✓ Beworben vor 7 Std.

Registrieren für Vorschläge, die auf die von Ihnen geöffneten Jobs und gespeicherten Suchen zugeschnitten sind.

Mehr Jobs bei CACI

Alle Jobs bei CACI ansehen →

Jetzt bewerben
🤖

Moment — langsam

JobsRadar wurde für echte Menschen gebaut, die eine schwere Zeit bei der Jobsuche haben — nicht für automatisierte Anfragen. Sie klicken viel zu schnell und sind jetzt vorübergehend blockiert.

Kommen Sie später wieder. Wenn Sie wirklich auf Jobsuche sind, stehen wir hinter Ihnen — verhalten Sie sich einfach wie ein Mensch.

Catch your next role the second it’s posted.

Create a free account and we’ll watch the boards for you — the instant a job matches your search, it lands in your inbox or Telegram. No digging, no refreshing.

Create free account

Free forever · takes 30 seconds · already have one?

Verschaffe dir einen Vorsprung bei der Jobsuche.

Tritt unserem Telegram-Kanal bei für das, was dir hilft, die Stelle zu bekommen — Gehaltsbenchmarks, den wöchentlichen Marktpuls und neue Feature-Drops. Kein Spam, nur Signal.

Dem Kanal beitreten — kostenlos