Job DescriptionACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL IS REQUIREDIn this role, you will leverage modern big data architectures to build and scale critical data pipelines. Your work will bridge the gap between advanced distributed analytics writing and high-performance execution, ensuring our solutions provide reliable intelligence when it matters most. If you are a straightforward technologist who loves working alongside passionate peers and making a meaningful impact, let's achieve more together!
The annual base salary range for this role is $186,000-$220,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.
Required Skills- Distributed Computing: Strong development experience using high-performance big data frameworks like Spark and/or MapReduce.
- Database Engineering: Proven experience working across modern data management environments, including SQL and NoSQL architectures.
- Data Science Libraries: Deep technical understanding and practical experience writing analytics utilizing Pandas, NumPy, and/or SciPy.
- High-Volume Processing: Demonstrated experience building pipelines capable of processing and analyzing heavy, complex volumes of data.
Education:
Bachelor's degree in a technical discipline (Computer Science, System Engineering, or related field) preferred, or equivalent professional experience with 14 years of experience, or 18 years of relevant experience.
Desired Skills- Experience deploying analytics within secure, cloud-native frameworks.
- A proactive approach to troubleshooting pipeline performance bottlenecks and optimizing database queries.
- Strong communication skills with a team-first mindset, always focused on delivering clear, actionable technical solutions.
