I've found several Senior Data Engineer positions in McLean, VA, focused on PySpark and AWS EKS. All listings are for contract roles, and I've filtered for candidates with over 5 years of experience. There are 25 suitable positions available for you.

Sure. Here's the analysis:

Job Analysis:

The Senior Data Engineer role at Odyssey Global is fundamentally geared towards facilitating the migration of legacy systems to a modern cloud-native architecture, directly aligning with the company's mission of empowering businesses with cutting-edge solutions. This position requires not only technical expertise in PySpark/Python and cloud technologies like AWS EKS, but also a strong grasp of relational databases like PostgreSQL and Snowflake. Candidates will need to tackle complex challenges related to understanding and integrating existing systems built on Informatica, SAS, and DB2. Success in this role would look like achieving efficient, secure data migration and successful implementation of microservices while collaborating cross-functionally—especially with UI developers on the Angular frontend component. The ideal candidate must exhibit both analytical and problem-solving skills to navigate the intricacies of data engineering while adhering to best practices in automated testing and code quality assurance, as outlined with tools like SonarQube and Fortify. Additionally, a solid understanding of legacy systems will be critical for ensuring smooth operational transitions and minimizing disruptions during migration.

Company Analysis:

Odyssey Global positions itself as a strategic partner for businesses looking to innovate and grow. The company's focus on building teams that deliver tangible results indicates a strong emphasis on collaboration and performance. This cultural backdrop suggests that the Senior Data Engineer role will demand adaptability, teamwork, and a proactive approach to problem-solving. Additionally, Odyssey Global's combination of seasoned expertise with leading-edge technology highlights a dynamic and possibly fast-paced environment that values continuous learning and innovation. The role's alignment with the broader company goals of optimizing client outcomes through customized strategies means that the engineer will likely engage closely with clients and internal teams alike—signifying an influential position within the organizational hierarchy. This suggests a culture that values transparency, communication, and the ability to navigate high-stakes projects while maintaining a focus on client success. Overall, the strategic alignment of this role aims not only to stabilize technical processes but also to ensure that businesses can confidently transition into modern data architectures, thereby enhancing their operational capabilities.

Absolutely. Here are some mock interview questions that could come up:

• Tell me about a time when you had to migrate a legacy system to a modern architecture. What challenges did you face and how did you overcome them?
• Describe a project where you utilized PySpark or Python to build scalable microservices. What was your specific role and what were the outcomes?
• How do you ensure the quality and security of your code in data engineering projects? Can you share an experience where this was particularly challenging?
• Tell me about a time you collaborated with UI developers. How did you ensure that the front-end and backend systems worked seamlessly together?
• How would you approach migrating data workflows from Informatica to PostgreSQL? What considerations would you take into account?
• What strategies do you employ for automated testing in your data engineering projects? Can you provide an example of a testing framework you've implemented?
• Imagine you are tasked with leading a migration project under a tight deadline. What steps would you take to ensure that you meet the deadline while maintaining quality?
• Suppose you encounter resistance from a client regarding the proposed data migration strategy. How would you handle the situation?
• Why are you interested in working at Odyssey Global specifically, and how do you see your experience improving our client outcomes?
• What values resonate with you in a company like Odyssey Global, and how do you align with them?
• What aspects of the company’s approach to designing custom strategies do you find most appealing, and why?
• Given the technological landscape today, what emerging trends do you think will impact data engineering in the next few years?