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# Cloud-Based Analytics Developer

- **Company:** MED-IT SOLUTIONS GROUP LLC
- **Location:** Annapolis Junction, MD, United States
- **Salary:** $176,000.0 - $226,000.0
- **Contract:** Permanent contract
- **Skills:** Business Analytics Applications, Data Analysis, Systems Engineering, Big Data, Cloud Computing, Data Systems, Distributed Computing Environment, Distributed Data Store, Distributed Systems, MapReduce, NoSQL, NumPy, Performance Tuning, Raw Data, SciPy, Software Engineering, SQL Databases, Data Processing, Apache Spark, Software Troubleshooting, Pandas, Information Technology, Data Analytics
- **Published:** August 2, 2026
- **Apply:** https://www.careerbuilder.com/job-details/software-engineer-annapolis-junction-md--7f1ab3b0-f38a-4d2f-82a2-17e976586195

## About the Role

* Clearance: Top Secret Clearance with Full Scope Polygraph, must be active. We do not have the ability to sponsor clearances* Citizenship: Must be a U.S. Citizen. We cannot sponsor visas* Bachelor's Degree in Computer Science or related field and 14 years of relevant experience* Or High School Diploma and 18 years of related experience, * Experience with Spark and or MapReduce* Experience with SQL and or NoSQL* Experience with Pandas, NumPy, and or SciPy* Experience developing analytics solutions for large-scale data processing* Strong interest in big data and distributed computing, * Experience optimizing analytic performance across heavy data workloads* Familiarity with distributed data architectures and scalable processing patterns* Experience supporting production analytics environments* Strong troubleshooting and collaboration skills, Analysis Skills, Big Data, Cloud Computing, Computer Science, Data Analysis, Data Processing, Distributed Computing, Health Plan, High School Diploma, Identify Issues, Leadership, MapReduce, Market Trend Analysis, NoSQL, Performance Analysis, Performance Management, Performance Tuning/Optimization, Production Support, Production Systems, SQL (Structured Query Language), Small Business, Software Development, Software Engineering, Systems Engineering, Team Player, United States Citizen, Workflow Analysis

## Description

At Intelliforce, we build analytic capabilities that help mission teams make sense of massive volumes of data and turn them into usable insight. In this role, you will develop and maintain high-performance analytics solutions built for scale, speed, and reliability. This is a strong fit for an engineer who enjoys big data, distributed computing, and writing software that helps teams move from raw data to real answers.

What Makes This Opportunity Stand Out

This role gives you the chance to work on the kind of data problems that stay interesting. You will help build analytics solutions designed to process heavy data volumes, support distributed workloads, and keep performance strong as demands grow. The work blends software engineering, data analytics, and large-scale processing, so your impact shows up in both the quality of the solution and the speed at which teams get value from their data.

At Intelliforce, your work is visible and your contributions matter. Because we support prime programs, our teams stay close to meaningful mission work with real momentum. Because we are a small business, leadership is accessible, communication is direct, and strong engineering gets noticed. Add in long-term stability, strong benefits, and a people-first culture, and this becomes more than another analytics role. It is a chance to build data solutions that perform where it counts.

Here's What Your Day-to-Day Could Include

 * Develop and maintain high-performance analytic solutions for large-scale data environments* Build software that processes heavy volumes of data efficiently and reliably* Work across distributed computing frameworks and analytics tools to support mission needs* Help transform raw data into analysis-ready outputs that support faster decisions* Optimize analytics workflows for scale, speed, and maintainability* Collaborate with technical teammates to improve performance across data-driven systems


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