Experience required
- Bachelor's: 4+ years
- Master's: 4+ years
About the role
Ready to build and scale next-level data analytics? Bring your Python, Spark, and C++ expertise to enrich and process critical datasets. If you thrive on large-scale data engineering and mission-essential systems, we want you on our team! If building and maintaining high-impact data analytics is your passion, this is your next big move! We are seeking a Senior Data Analytics Engineer to engineer data evaluation, enrichment, and processing pipelines for critical, relevant datasets. You will be at the heart of our data operations, ensuring that massive streams of information are refined into high-value assets for our mission partners. Come deliver excellence with us! The annual base salary range for this role is $157,000-$183,000 (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.
Qualifications
- Core Development: High proficiency in Python and C++.
- Big Data Frameworks: Hands-on experience with Apache Spark for large-scale data processing.
- Domain Expertise: Strong familiarity working within environments, specifically utilizing FPs and MPs.
- Data Enrichment: Demonstrated experience evaluating, structuring, and enriching raw datasets. Education: Master’s degree with 4 years of experience, or Bachelor’s degree with 6 years of experience, or 8 years of relevant experience in Data Engineering, Software Engineering, or a related field.
Desired Skills Advanced optimization techniques within customer-specific analytical environments.
Clearance: TS/SCI w/Poly
Compensation
Posted Annualized Salary: $157,000 – $183,000