Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$89к-112к/год
$100к$130кмедиана$160к
По похожим ролям (45) ~ $130к/год
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Ниже рынкаПонятные задачиСовременные инструментыНужен допускТолько офис
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Junior Data Engineer (Data Engineering): Developing and maintaining data pipelines, ETL processes, database integrations, and data quality controls with an accent on SQL, relational databases, cloud platforms, and reliable data delivery. Focus on validating and reconciling data, documenting data assets, supporting secure access, and improving enterprise data processing for government and national security missions.
Location: Onsite in Norfolk, Virginia, United States. All applicants must currently reside in the United States.
Salary: USD $89,000–$112,000 per year.
Company
hirify.global provides AI-powered decision intelligence solutions for national security, supply chain management, and digital identity.
What you will do
Develop, maintain, and improve data pipelines and ETL processes for ingesting, transforming, validating, and delivering data from multiple source systems.
Write, maintain, and optimize SQL queries across relational databases and support database development, schema documentation, query optimization, and performance monitoring.
Support data integrations, imports, automated data transfers, reporting processes, dashboards, and data products.
Perform data quality checks, audits, reconciliations, and investigations to improve accuracy, integrity, and reliability.
Maintain data dictionaries, metadata inventories, dataflow diagrams, standard operating procedures, and other technical documentation.
Support cloud data engineering, secure data access, process automation, troubleshooting, and incremental improvements with cross-functional teams using Agile practices.
Requirements
Must be eligible to obtain and maintain a Secret security clearance.
Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Analytics, Accounting, or a related field, or equivalent relevant professional experience.
3–5 years of relevant experience in data analysis, data engineering, database support, ETL development, reporting, or data integration.
Working knowledge of SQL and relational databases, including querying, manipulating, and validating data.
Familiarity with data imports, ETL processes, data transformations, or integrations across multiple source systems.
Experience with data validation, quality assurance, auditing, reconciliation, or related data accuracy activities.
Basic understanding of database structures, data relationships, query performance, and data management principles.
Strong analytical and problem-solving skills, attention to detail, and the ability to investigate and resolve data discrepancies.
Ability to document technical processes, communicate findings clearly, collaborate with technical and nontechnical stakeholders, work in a team environment, learn new technologies, and support multiple priorities.
Nice to have
Exposure to AWS, Databricks, or other cloud-based data platforms.
Experience with Microsoft SQL Server, Databricks, or other relational database technologies.
Familiarity with data governance, metadata management, data inventories, data dictionaries, or data cataloging.
Experience with Power BI, Tableau, SSRS, or other reporting and visualization tools.
Familiarity with Python, R, or scripting for data processing and automation.
Experience integrating data across enterprise applications, databases, file transfers, or external data sources.
Understanding of data security, access management, regulatory compliance, or sensitive information handling.
Exposure to Agile software development, IT service management, or collaborative development environments.
Interest in government, defense, critical infrastructure, or other mission-focused data environments.
Culture & Benefits
Work onsite in Norfolk, Virginia, supporting government and national security missions.
Collaborate with engineers, analysts, software developers, and other technical stakeholders.
Contribute to secure and efficient data operations involving sensitive information.
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