AWS Data Engineer - Fully on-site - Alexandria, VA - US Citizens

As an AWS Data Engineer at Motion Recruitment, you'll be responsible for designing, developing, and maintaining scalable data infrastructure and API solutions within an AWS ecosystem. You'll work closely with clients to build an enterprise data warehouse and a data exchange platform, ensuring all internal and external data flows smoothly while collaborating cross-functionally with various teams.

To qualify for the AWS Data Engineer role at Motion Recruitment, you should have at least 4 years of experience in data engineering, extensive experience working in AWS environments, and be proficient in Python for building ETL/ELT pipelines. Additionally, SQL skills are essential, and having DevOps experience will be considered a plus.

In the AWS Data Engineer position at Motion Recruitment, your work will directly impact how organizations assess performance and manage personnel through data-driven insights. By building data solutions that facilitate analysis, you'll support the non-profit's mission to improve organizational culture and performance across various sectors, including federal agencies.

The AWS Data Engineer role at Motion Recruitment is fully on-site in Alexandria, VA. This allows you to collaborate directly with your team and engage deeply with the organizational projects, which is critical in the data engineering field.

As an AWS Data Engineer at Motion Recruitment, you will enjoy a comprehensive benefits package that includes health and dental insurance, a 401k plan, generous paid time off (PTO), and much more, supporting both your personal and professional development.

In your response, highlight specific projects you've worked on within the AWS environment, detailing how you utilized AWS tools and services such as S3, Redshift, and Lambda to develop data solutions or manage data pipelines. Make sure to explain how this experience will help you contribute to the role at Motion Recruitment.

Discuss methods like data validation practices, data cleansing and transformation techniques, and how you use version control systems to maintain data integrity. It’s important to emphasize your attention to detail and the processes you implement to ensure high-quality outcomes.

Explain strategies you've employed to optimize database performance, including indexing, query optimization, and the choice of data storage techniques. Providing specific examples will demonstrate your depth of knowledge and experience in enhancing performance.

Outline the process you follow when building ETL/ELT pipelines, from data extraction to transformation and loading into storage solutions. Share tools used, the challenges faced, and what you learned from the experience to provide a thorough overview of your capabilities.

Here, you should mention AWS security best practices including IAM roles and policies, data encryption, and ensuring compliance with security regulations. Showing your awareness of data security adds significant value to your role as an AWS Data Engineer.

Discuss the tools and practices you use for version control, such as Git or AWS CodeCommit. Explain how maintaining version control helps in collaborative environments and how it assists in tracking changes and managing code effectively.

Provide context about key challenges you faced, whether they were technical or team-related, and describe how you approached problem-solving and resolution. This showcases your critical-thinking and teamwork abilities.

Talk about how you utilize online resources, such as blogs, forums, webinars, and community events, as well as attending conferences to keep your skills fresh. This demonstrates your commitment to continuous learning and improvement in the field of data engineering.

Indicate your proficiency in languages like Python and SQL, describing specific instances where you employed these languages to create data solutions or optimize workflows, which will affirm your technical competence.

Here, it's vital to convey genuine enthusiasm for the role and the organization. Discuss the alignment of your skills and values with their mission and how you can contribute positively to their innovative projects in organizational psychology.