Data Engineer 2 #1666101

Network Designs Inc.

59d • Remote

About The Position

The Data Engineer will be responsible for supporting the design, development, and maintenance of data pipelines and architectures. This role involves working closely with senior data engineers, data scientists, analysts, and other stakeholders to ensure data is accessible, reliable, and optimized for performance. The candidate will gain hands-on experience in data engineering and develop skills in managing data pipelines, data integration, and database management.

Requirements

• U.S Citizenship required.
• Must be able to obtain and maintain a Public Trust clearance
• This position is remote but may require occasional onsite meetings in McLean, VA.
• You can be based out of following states: AZ, DC, FL, GA, OH, ME, MD, SC, TX, UT, VA, NC, OK, WV.
• Bachelor's Degree in Computer Science, Information Technology, Data Science, or a related field
• At least 3 years of relevant experience in data engineering or a related role.
• Proficiency in data engineering tools and technologies such as SQL, Python, or similar.
• Basic understanding of data warehousing and big data technologies.
• Strong analytical and problem-solving skills.
• Attention to detail and accuracy.
• Good communication skills and the ability to work collaboratively in a team

Nice To Haves

• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (preferred but not required).

Responsibilities

• Data Pipeline Development:
• Assist in designing, developing, and maintaining scalable and efficient data pipelines.
• Support real-time or batch data processing tasks.
• Data Architecture:
• Help implement data architectures that support data processing and analytics needs.
• Assist in optimizing data storage solutions for performance, scalability, and security.
• Data Integration:
• Assist in integrating data from multiple sources, ensuring data quality and consistency.
• Help develop ETL (Extract, Transform, Load) processes to move and transform data as required.
• Database Management:
• Support the management of database systems and ensure they are optimized for data retrieval and processing.
• Assist in maintaining and enhancing database schemas and developing advanced database queries.
• Collaboration:
• Work closely with senior data engineers, data scientists, analysts, and other stakeholders to understand data requirements and deliver relevant solutions.
• Performance Monitoring and Optimization:
• Monitor data infrastructure performance and identify areas for improvement under guidance.
• Implement performance tuning measures to enhance the efficiency of data processing.
• Security and Compliance:
• Support data security measures and ensure compliance with relevant regulations and standards.
• Assist in implementing data governance policies and procedures.
• Documentation and Best Practices:
• Create and maintain comprehensive documentation for data pipelines, architectures, and processes.
• Follow best practices in data engineering, including version control, testing, and code quality.
• Continuous Improvement:
• Stay updated with the latest industry trends and technologies in data engineering.
• Continuously seek opportunities to improve data infrastructure and processes.

Benefits

• At NDi, we value our team and are committed to retaining top talent by offering competitive benefits and compensation packages.
• Our employee benefits package includes comprehensive health, dental, vision, pet, and legal insurance.
• Our corporate benefits include 401(k) retirement matching, paid leave, paid holidays, and health and wellness programs.
• In addition, we provide employer-paid life and disability insurance, professional development, education benefits, and much more to ensure our team has the resources they need to thrive on and off the job.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level