Primary Responsibilities:

Contribute to data engineering efforts by supporting the integration and enrichment of DISN network topology data for advanced data correlation and analytics.
Participate in technical discussions with internal and external stakeholders to support solution design and implementation.
Develop, test, and deploy data pipelines and integration solutions across distributed systems and cloud environments, using Python, JavaScript, Java, and SQL.
Assist in requirements gathering and collaborate with stakeholders to design and implement data enrichment pipelines, integrating diverse data sources into Confluent (Kafka) and Elastic platforms.
Develop and maintain Kibana visualizations and dashboards to support operational insights.
Support Kafka system integrations between Elasticsearch/Logstash and other systems.
Collaborate within Agile scrum teams, contribute to team deliverables, and share knowledge with peers.
Communicate and coordinate effectively with geographically distributed team members to achieve project objectives.
Troubleshoot and help resolve installation, infrastructure, and system issues; report and help mitigate technical risks.
Develop and maintain technical documentation, including DoD requirements, interface documents, and security compliance artifacts.
Ensure solutions comply with DoD security standards and guidelines, and support platform sustainment and reliability by addressing operational challenges as needed

Basic Qualifications:

Bachelor's degree from an accredited college in a related discipline, or equivalent experience/combined education, with 4-8 years of professional experience; or 2-6 years of professional experience with a related master's degree.
4+ years of experience in software engineering, data engineering, or business/data analysis, preferably within Agile/Scrum teams.
Hands-on software development experience with Python, Java, SQL, and working knowledge of JavaScript and HTML.
Experience with distributed version control systems such as Git and Bitbucket.
Experience designing, developing, and optimizing ETL processes and data pipelines, including integration with event streaming platforms like Kafka.
Experience in data modeling, unification, and analytics to support data-driven projects.
Experience implementing application and system integrations, including Kafka and Elastic platform integrations.
Understanding of networking and internet protocols, with experience supporting network-centric or data-driven environments.
Experience developing and deploying software on UNIX/Linux command line platforms.
Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders.
Experience with Agile project management and collaboration tools such as JIRA and Confluence.
Proficiency with data analytics and visualization tools, such as Kibana, Power BI, Tableau, and the ELK stack (Elasticsearch, Logstash, Kibana).

Skills Python, Data, Etl, data pipeline, kafka Top Skills Details Python,Data,Etl,data pipeline,kafka

Additional Skills & Qualifications Preferred Qualifications:

Experience with CI/CD techniques, containerized pipelines, and DevOps practices, including automating software delivery processes. Familiarity with artificial intelligence and machine learning concepts, and interest in supporting the integration of AI/ML capabilities into data platforms. Experience with data integration, storage, and analysis technologies such as Kafka, Elastic, Spark, or NiFi. Hands-on experience with Kafka connector integrations and working knowledge of ksqlDB and Kafka Streams for real-time data processing. Ability to develop software designs for streaming data applications, particularly using Kafka Streams or ksqlDB. Experience developing and optimizing Kafka system integrations between Elasticsearch/Logstash and other systems. Experience designing and implementing application deployment pipelines and developing software in containerized environments using Kubernetes and Docker. Familiarity with Kubernetes deployment, Agile methodologies, and collaborative development tools. Experience developing and deploying software in AWS cloud environments, including basic configuration of cloud infrastructure, networking, and security policies (GovCloud experience a plus). Experience with full software lifecycle automation (design, development, testing, deployment), including production deployments. Experience designing and building automated software testing pipelines using tools such as Ansible, Selenium, JMeter, Junit, or similar. Experience developing and deploying software in DoD environments (DISA experience a plus), including building applications that meet DoD security standards and implementing security guidelines (e.g., STIGs). Ability to support the development of DoD requirements, traceability matrices, project plans/schedules, and contribute to software systems engineering documents and interface documents (IDDs/ICDs). Experience with Agile methodologies and Atlassian tools, including JIRA and Confluence, for project Experience Level Intermediate Level Job Type & Location This is a Contract position based out of Fort Meade, MD. Pay and Benefits The pay range for this position is $60.00 - $75.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following:

Medical, dental & vision
Critical Illness, Accident, and Hospital
401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available
Life Insurance (Voluntary Life & AD&D for the employee and dependents)
Short and long-term disability
Health Spending Account (HSA)
Transportation benefits
Employee Assistance Program
Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a hybrid position in Fort Meade,MD.

Application Deadline This position is anticipated to close on Jun 29, 2026. About TEKsystems We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. About TEKsystems and TEKsystems Global Services We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

San Francisco Fair Chance Ordinance:

Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector:

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. 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