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# Data Processing Developer

- **Company:** Intezra, Inc.
- **Location:** Columbia, MD, United States
- **Salary:** $130,000.0 - $200,000.0
- **Contract:** Permanent contract
- **Skills:** Airflow, Bash Shell, Cloud Computing, Cyber Security, Computer Programming, Computer Networks, Databases, Computer Engineering, Data Presentation, Django Web Framework, Perl (Programming Language), Python (Programming Language), Microsoft SQL Server, MySQL, Network Administration, Raw Data, Software Engineering, Data Streaming, Virtualization Technology, Data Processing, Apache Spark, Containerization, Kubernetes, Information Technology, Integration Frameworks, Apache Kafka, Data Management, Front End Software Development, Cyber Warfare, Docker, Legacy Systems
- **Published:** July 11, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=8f72a5a300472116

## About the Role

Experience requirements vary by level (1-6) and may include a combination of education, certifications, and relevant professional experience., Experience with cloud computing and virtualization technology.

Strong programming skills.

Experience architecting, creating, and maintaining databases.

Familiarity with Python, Perl, Bash, MySQL, MSSQL, and Django.

Ability to work independently and create flexible solutions based on vague, non-technical customer requirements.

Nice to Haves
Experience with additional data processing frameworks (Apache Kafka, Airflow, Spark).

Experience with containerization (Docker) and orchestration (Kubernetes).

Front-end experience for building lightweight data presentation UIs.

Experience with observability and data-quality tooling.

Prior experience migrating off legacy data platforms.

## Description

Data Processing Developers (DPDs) design, build, and evolve the systems that turn raw data into something people can actually use. You will architect new data processing and presentation systems, create custom automated data flows to make domain-specific data human-readable, integrate new flows with existing data repositories, and advocate for transition plans that move the team off legacy platforms toward long-term, sustainable solutions.
This is hands-on engineering work with real ownership: the pipelines and tools you build feed downstream analysts and stakeholders directly.
A degree in Computer Science, Computer Engineering, Software Engineering, Electrical Engineering, Cyber Operations, Computer Networks, Cybersecurity, Information Security, Information Assurance, or Network Administration is applicable for LCAT level determination.
Responsibilities
Architect new data processing and presentation systems for downstream users.

Create custom automated data flows to make domain-specific data human-readable.

Integrate new data flows with existing data repositories.

Design and advocate for transition plans that move the team from legacy systems to long-term, more sustainable solutions.

Design, build, and maintain databases that support new and existing workloads.


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