Junior Data Engineer TS/SCI — Data Pipelines

MAXAR TECHNOLOGIES, 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 seeks a motivated Junior Data Engineer to design, develop, and maintain data pipelines and processing workflows for a large-scale analytics platform serving a U.S. Government customer.

You will work on ingestion, transformation, and integration of structured and unstructured data, ensuring reliability, performance, and security in a mission-focused environment. Onsite work is required, with collaboration across engineers and data scientists.

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).

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.

Skills

Python

SQL

Elasticsearch

Education

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

Tools

Apache NiFi

PostgreSQL

Docker

Kubernetes

Apache Airflow

Spark

Hadoop

Kafka

Job description

Vantor seeks a motivated Junior Data Engineer to design, develop, and maintain data pipelines and processing workflows for a large-scale analytics platform serving a U.S. Government customer.

You will work on ingestion, transformation, and integration of structured and unstructured data, ensuring reliability, performance, and security in a mission-focused environment. Onsite work is required, with collaboration across engineers and data scientists.