Data Engineer III
Aretum
| Company | Aretum |
| Category | Engineering |
| Location | New York |
| Remote | — |
| Employment | Full-time |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | — |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (pinpoint) |
Description
ARETUM, a leading government contracting company specializing in technology-enabled mission support services, is looking for a skilled and motivated Data Engineer to join our team. As a Data Engineer at ARETUM, you will be responsible for developing, constructing, testing, and maintaining scalable and reliable data solutions for our clients. ARETUM is known for providing cutting-edge solutions and outstanding service to Federal clients in various sectors, including Next Generation Analytics, Engineering Services, Training Services, IT Systems, Cyber Security, PMO Support, and Financial Consulting. Our mission is to deliver technology-driven solutions that meet the unique needs of our government clients, enabling them to achieve their objectives effectively and efficiently. Responsibilities Design, build, and maintain scalable data pipelines and workflows. Implement data storage solutions that can handle large volumes of data efficiently. Develop and manage data integration processes and tools. Ensure data quality and integrity by implementing appropriate data cleaning and validation procedures. Collaborate with data scientists and analysts to support their data needs. Optimize data processes and query performance. Implement data security measures to protect sensitive information. Stay up-to-date with the latest data engineering trends, technologies, and best practices. Requirements Active Secret Clearance Bachelor's degree in Computer Science, Engineering, or a related field. 3+ years of experience as a Data Engineer or in a similar role. Proficiency in SQL and one or more programming languages (Python, Java, Scala, etc.). Experience with data warehousing and database design. Strong knowledge of data modeling, data integration, and ETL processes. Experience with big data technologies such as Hadoop, Spark, or Kafka. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud. Knowledge of data security concepts and best practices. Experience with version control systems (Git, SVN, etc.). Excellent problem-solving and analytical skills. Strong communication and collaboration skills. "}" data-trix-content-type="undefined" data-trix-id="329" class="attachment attachment--content">
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