Data Engineer/Architect

The Data Engineer/Architect at Redhorse Corporation is responsible for data manipulation, supporting ETL processes, developing data models, and collaborating on data analytics. You’ll be integral in building the data systems that power our clients' missions, ensuring data integrity and effective insight generation.

To qualify for the Data Engineer/Architect position at Redhorse Corporation, candidates must possess 7+ years of experience in data engineering or a related field. Additionally, expertise in Java, SQL, Python, and SQL databases is essential, alongside an active TS/SCI security clearance with Polygraph.

At Redhorse Corporation, the Data Engineer/Architect utilizes cutting-edge technologies like Java, SQL, Python, and GPU processing. Familiarity with data visualization tools such as ElasticSearch is also beneficial, along with experience in data flow systems and machine learning methodologies.

The work environment for a Data Engineer/Architect at Redhorse Corporation is dynamic and fast-paced, focused on continuous improvement and innovation. You’ll be collaborating with an enthusiastic team to tackle complex projects and contribute to national security initiatives.

Yes, there are ample opportunities for growth in the Data Engineer/Architect role at Redhorse Corporation. As you develop expertise in managing data systems and analytics, you will have the chance to take on more responsibilities and contribute to major projects that are pivotal to our clients' success.

When answering this question, highlight specific projects where you've utilized tools for data extraction, transformation, and loading. Detail your role, the challenges faced, and how you successfully improved data flow efficiency and data quality.

Discuss your methodology for designing data models. You might reference frameworks you use, the importance of understanding user needs, and how you ensure scalability and performance in your models.

Be sure to mention your proficiency level with languages like Java, SQL, and Python. Provide examples of how you’ve used these languages in past projects to solve data challenges effectively.

Select a concrete example that illustrates your problem-solving skills. Describe the situation, the analytical approach you took, and the outcomes that benefited your team or project.

Discuss specific tools you’ve worked with, such as ElasticSearch or Tableau. Explain how you've used these tools to create meaningful visual representations of data which helped stakeholders make informed decisions.

You can talk about processes you implement for data validation, error checking, and ongoing monitoring. Share any relevant strategies that have proven effective to you in maintaining high data quality.

Discuss specific projects that involved machine learning. Highlight the methods you employed, the outcomes achieved, and your familiarity with frameworks like TensorFlow or Keras.

Share your strategies for prioritizing tasks, such as using project management tools or techniques for effective time management that help you stay organized in busy settings.

Be specific about the platforms you've used, like AWS, Azure, or Google Cloud. Discuss how you've leveraged these for data processing, storage solutions, or analytics.

Your answer should reflect a genuine interest in Redhorse Corporation's mission. Discuss how the role aligns with your career goals and your eagerness to contribute to impactful projects in data engineering and national security.