Constellation Technologies

Dataflow Engineer (Senior) - FULLY CLEARED with POLYGRAPH REQUIRED

Constellation Technologies · Annapolis Junction, MD
Annapolis Junction, MD was $150K–$215K Closed
Applications are closed for this role. It was originally posted 2026-07-27. It’s no longer accepting applicants — see roles Constellation Technologies is still hiring for →, or browse the live openings below.
Salary
$150K–$215K
Type
Full-time
Experience
5+ yr

Python, LLM integration, data engineering, Agile, Git, Jira, Confluence, static analyzers, RAG framework, relational and vector databases, RUST, Claude Code, Codex, and CI/CD
Due to federal contract requirements, United States citizenship and an active TS/SCI security clearance and polygraph are required for the position.

The benefits package:

  • Affordable healthcare options with 80% employer paid premium PLUS a company-funded HSA
  • Comprehensive Dental insurance
  • Vision with 80% employer paid premium
  • Employer paid Life insurance 100%
  • Employer paid Short-term and Long-term disability 100%
  • Annual training, continued education, and professional memberships reimbursement
  • Unlimited access to Red Hat Enterprise Linux and AWS training and accreditation
  • Annual reimbursement for technology i.e. phones, computers, printers, etc.
  • 401(k) with company match up to 5% with 100% immediate vesting (after 90 days of employment)

The environment and perks:

  • Professional development investment and paid time off for training
  • Contract and work locations in Maryland, Virginia, Colorado, Texas, Utah, Florida and Hawaii.
  • Team building events throughout the year such as Destination Family Events, Holiday Party, Monthly Get-Togethers
  • Leadership Team engagement and mentorship
  • Performance Recognition Program
  • Complimentary branded apparel

Don't see a job opening that's the perfect fit? Apply to our General Position to join our talent pool for consideration for future opportunities.

Know someone else who may be a good fit? Refer them through the CTI External Referral Program and you could receive a one-time referral bonus of up to $10,000! Email [email protected] for more information.

Constellation Technologies is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, religion, creed, color, national origin, ancestry, sex (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, medical condition, marital or domestic partner status, sexual orientation, gender, gender identity, gender expression and transgender status, mental disability or physical disability, genetic information, military or veteran status, citizenship, low-income status or any other status or characteristic protected by applicable law. Job applicants can submit questions about CTI’s equal employment opportunity policy to [email protected].

  • Must be a US Citizen.
  • Must have TS/SCI clearance w/ active polygraph.
  • Eight (08) years of direct/relevant experience.
  • Bachelor’s degree in computer science or related discipline from an accredited college or university is required.
  • Strong experience working knowledge of NiFi is required
  • In-depth understanding of corporate dataflow and knowledge of common tools such as DX, ElasticSearch, Kibana
  • Intermediate knowledge of Linux and Docker
  • Knowledge of troubleshooting, maintenance, with specific attention to NiFi dataflows and NiFi cluster management.
  • Python scripting
  • Experience with system integration, upgrade, and deployment activities.
  • Experience working with systems that ingest large volumes of data.
  • Experience with Elastic cluster management and deployment
  • Experience creating Kibana visualizations and dashboards and enhancing data analytic solutions .
  • Knowledge and/or experience with the customer's analytic tools; Kubernetes, Kafka ​

The pay range for this job, with multi-levels, is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

PythonLLMAWSDockerKubernetesKafka
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Applications closed