Junior Data Engineer (TS/SCI)

Vantor Holdings, Inc.; Herndon (VA); On-site; USD 115,000 - 155,000; Full time

Benefits offered by this job

401(k) with company match

Mental health resources

Student loan repayment assistance

Adoption reimbursement

Pet insurance

Job summary

Vantor Holdings, Inc. is seeking a motivated Junior Data Engineer to design, develop, and maintain data pipelines for a large-scale analytics platform supporting a U.S. Government client.

You will contribute to data ingestion, transformation, and integration, helping ensure data quality, reliability, and security in a mission-focused environment. The role involves collaboration with engineers, data scientists, and government stakeholders, with on-site work required and opportunities to grow

Qualifications

• U.S. Citizen with an active TS/SCI clearance (willing to obtain CI poly).
• Bachelor's degree in a related technical field with 1–4 years of relevant experience in data engineering or software development.
• Experience in data engineering, software development, or related technical discipline.

Responsibilities

• Develop, maintain, and troubleshoot data ingestion, transformation, and integration pipelines for large-scale data analytics.
• Support integration and processing of structured, semi-structured, and unstructured data from diverse sources using distributed processing technologies.
• Assist with deployment, configuration, monitoring, and optimization of data engineering components in cloud, on-premises, or hybrid environments.
• Implement data validation, quality assurance, and monitoring to ensure data accuracy and processing efficiency.
• Collaborate with data scientists, analysts, and government stakeholders to translate data requirements into technical solutions; document workflows and designs.

Skills

Python

SQL

Data pipelines

ETL/ELT

Data governance

Education

Bachelor's degree in computer science, information systems, data science, engineering or related technical field

Tools

Elasticsearch

OpenShift

PostgreSQL

Apache NiFi

Spark

Kafka

Hadoop

Airflow

Docker

Kubernetes

Job description

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what’s happening now and shape what’s coming next. Vantor is a place for problem solvers, changemakers, and go-getters—where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world.

To be eligible for this position, you must be a U.S. Citizen. This position requires an active U.S. Government security clearance, applicants who do not currently hold the required clearance will not be eligible for consideration. Employment for cleared roles is contingent upon verification of clearance status.

Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3).

Please review the job details below.

This position requires an active U.S. Government Security Clearance at the TS/SCI level.

We are seeking a motivated, technically capable Junior Data Engineer to support the development, integration, operation, and maintenance of a large-scale data analytics platform supporting a U.S. Government customer. The successful candidate will work as part of a multidisciplinary engineering and analytics team to design, develop, and maintain data pipelines and processing workflows that ingest, transform, integrate, and prepare large volumes of structured and unstructured data for analytical use.

The Data Engineer will contribute to the implementation and optimization of scalable data solutions, support data quality and governance initiatives, and help ensure the reliability, performance, and security of the platform in a mission-focused environment.

Principal Responsibilities

• Data Pipeline Development: Develop, maintain, and troubleshoot data ingestion, transformation, and integration pipelines supporting large-scale data analytics.
• Data Processing and Integration: Support the integration and processing of structured, semi-structured, and unstructured data from diverse sources using distributed data processing technologies.
• Data Platform Support: Assist with the deployment, configuration, monitoring, and optimization of data engineering components within cloud-based, on-premises, or hybrid environments.
• Data Quality and Performance: Implement data validation, quality assurance, and monitoring processes to ensure data accuracy, consistency, availability, and processing efficiency.
• Collaboration and Documentation: Work with data scientists, analysts, software engineers, and government stakeholders to translate data requirements into technical solutions; document workflows, processes, and technical designs.

Minimum Qualifications

• Must be a U.S. Citizen with an active TS/SCI clearance (with a willingness to obtain a CI poly).
• Bachelor's degree in computer science, information systems, data science, engineering or a related technical field with 1-4 of relevant experience in data engineering, software development, analytics, database administration, or a related technical field. Relevant internships or project experience may be considered.
• Demonstrated experience in data engineering, software development, database engineering, or a related technical discipline.
• Working proficiency in Python and SQL and/or Elastic, with experience developing scripts, data transformations, and automated data processing workflows.
• Experience with relational databases or distributed data processing technologies, and a basic understanding of data modeling, ETL/ELT processes, and data integration.
• Willingness to work onsite at least 90% (or as needs dictate).

Preferred Qualifications

• Data engineering platforms and tools such as Apache NiFi, Elasticsearch, PostgreSQL, or OpenShift
• Distributed data platforms such as Spark, Hadoop, Kafka, or Hive
• Cloud platforms such as AWS, Azure, or Google Cloud
• Containers and orchestration with Docker and Kubernetes
• Data workflow tools such as Apache Airflow
• CI/CD, Git, DevSecOps, or automated testing
• Data governance, metadata, lineage, or security
• Government, defense, intelligence, or other regulated environments

Pay Transparency

In support of pay transparency at Vantor, we disclose salary ranges on all U.S. job postings. The successful candidate’s starting pay will fall within the salary range provided below and is determined based on job-related factors, including, but not limited to, the experience, qualifications, knowledge, skills, geographic work location, and market conditions. Candidates with the minimum necessary experience, qualifications, knowledge, and skillsets for the position should not expect to receive the upper end of the pay range.

$115,000.00 - $155,000.00

Benefits

Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at: https://www.Vantor.com/careers

The date of posting can be found on Vantor's Career page at the top of each job posting.

EEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.