pythonsqletldata modelingrelational databasesdata integrationdata pipelinesdata qualitysecurity clearancedistributed data processing
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$115к-155к/год
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Понятные задачи для junior data engineer, востребованные инструменты и работа над крупной аналитической платформой делают вакансию сильной, но требования к допуску и почти постоянному присутствию в офисе заметно ограничивают круг тех, кому она подойдет.
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Hirify AI/Оригинал
TL;DR
Junior Data Engineer (TS/SCI) (Data Analytics): Developing and maintaining data pipelines and processing workflows for a large-scale U.S. Government analytics platform with an accent on structured and unstructured data integration, quality, and security. Focus on building scalable ingestion and transformation workflows, optimizing distributed processing, and supporting reliable platform operations in a cleared environment.
Location: Herndon, VA, United States; onsite at least 90% of the time or as needs dictate.
Salary: $115,000–$155,000 annual base pay, depending on location, qualifications, experience, and market conditions.
Company
hirify.global develops spatial intelligence solutions that help decision makers and operators understand current events and plan for what comes next.
What you will do
Develop, maintain, and troubleshoot data ingestion, transformation, and integration pipelines for large-scale analytics.
Process and integrate structured, semi-structured, and unstructured data using distributed data processing technologies.
Support deployment, configuration, monitoring, and optimization of data engineering components across cloud, on-premises, and hybrid environments.
Implement data validation, quality assurance, and monitoring to improve accuracy, consistency, availability, and performance.
Collaborate with data scientists, analysts, software engineers, and government stakeholders to translate requirements into technical solutions and document workflows and designs.
Requirements
U.S. citizenship and an active TS/SCI U.S. Government security clearance are required; willingness to obtain a CI poly is required.
Bachelor’s degree in computer science, information systems, data science, engineering, or a related technical field, plus 1–4 years 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, including scripts, data transformations, and automated data processing workflows.
Experience with relational databases or distributed data processing technologies, with a basic understanding of data modeling, ETL/ELT, and data integration.
Willingness to work onsite at least 90% of the time or as business needs dictate.
Nice to have
Apache NiFi, Elasticsearch, PostgreSQL, OpenShift, Spark, Hadoop, Kafka, or Hive.
AWS, Azure, or Google Cloud.
Docker and Kubernetes.
Apache Airflow.
CI/CD, Git, DevSecOps, or automated testing.
Data governance, metadata, data lineage, or security experience.
Government, defense, intelligence, or other regulated-environment experience.
Culture & Benefits
Mission-focused work supporting a U.S. Government customer in a multidisciplinary engineering and analytics environment.
Benefits include a 401(k) with company match, mental health resources, student loan repayment assistance, adoption reimbursement, and pet insurance.
Employment is subject to verification of the required security clearance.
Hiring process
Submit an application through hirify.global’s Career page.
The application window is three days from the posting date and remains open until a qualified candidate is identified; reposted positions remain open for three days from the reposting date unless filled earlier.
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