Dataflow Software Engineer, Distributed Analytics - Fully Cleared
About The Position
At Intelliforce, we build mission-aligned technology that enables real-time insight, resilient analytics, and operational confidence across the Intelligence Community. This role supports the mission by designing and optimizing dataflow and distributed processing systems that power large-scale analytics. You’ll work at the intersection of data engineering and software development, helping transform raw data into actionable intelligence while operating in high-trust, high-impact environments. This position is ideal for an engineer who thrives in Linux environments, enjoys working with large datasets, and wants their work directly tied to mission outcomes.
Requirements
- Clearance: Active Top Secret Clearance with Full Scope Polygraph (required)
- Citizenship: Must be a U.S. Citizen
- Master’s degree in Computer Science or related discipline and 5+ years of software engineering experience
- OR
- Bachelor’s degree in Computer Science or related discipline and 7+ years of software engineering experience
- OR
- 9+ years of software engineering experience in programs of similar scope, type, and complexity
- Strong experience working in Linux environments using the CLI and native tools
- Proficiency developing automation scripts in Bash
- Recent hands-on software development experience using Python and Java
- Experience with distributed big data processing engines, including Apache Spark
- Experience using Jupyter Notebook for analytics and development workflows
- Data wrangling and preprocessing experience using tools such as pandas and NumPy
- Experience working with structured and unstructured data formats including Parquet, JSON, CSV, and XML
- Familiarity with data quality, validation, and anomaly detection concepts
- Experience using Git for source control and team collaboration
Nice To Haves
- Experience orchestrating workflows using Apache Airflow, including DAG design and scheduling
- Familiarity with SQL technologies such as MySQL, MariaDB, or PostgreSQL
- Exposure to HPC job scheduling tools such as Slurm
- Experience using Atlassian tools including Jira and Confluence
Responsibilities
- Design, implement, and optimize data ingress and egress pathways supporting analytics workloads
- Build and enhance distributed data processing solutions using Apache Spark
- Develop and maintain Python and Java applications supporting large-scale data workflows
- Automate operational tasks using Bash scripting in Linux environments
- Work with structured, semi-structured, and unstructured data formats to support analytics pipelines
- Collaborate with system engineers and stakeholders to refine requirements and improve performance
- Write and maintain documentation supporting sustainment, testing, and operational use
- Participate in code reviews, testing, and continuous integration workflows
Benefits
- Ample PTO to rest and recharge—plus all federal holidays and your birthday off, just because.
- Multiple medical plan options, including ones with zero deductible or premium for employees.
- Generous 401(k) with immediate vesting—because your future matters now.
- Exciting bonus opportunities, from profit sharing to quarterly awards and President’s Club recognition.
- A culture of collaboration, connection, and fun, with regular team activities that go beyond the work.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
