Senior Data & AI Engineer

Job Description

ACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL IS REQUIRED. Ready to turn raw data into stories that empower decision-makers? In this role, you'll own the data pipeline from aggregation to visual representation, building clear dashboards using Python and Jupyter. You'll keep customer dataflows pristine and help us push boundaries with cutting-edge AI and NLP tools.

Act as a key translator between raw, complex mission data and actionable strategic insight. You won't just process numbers—you'll craft compelling data visual stories, build dynamic dashboards, and untangle complex customer dataflows. If you thrive on taking massive, messy datasets, curating them to perfection, and transforming them into clear visual insights using Python and modern data science toolkits, you'll fit right in with Team Nyla.

The annual base salary range for this role is $152,000-$180,000 (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.

• Programming & Environment:
  Deep technical proficiency with Python and extensive experience using Jupyter Notebooks for data manipulation, analysis, and prototyping.
• Data Visualization & Dashboards:
  Demonstrated ability to present complex data findings clearly using visualization tools, custom charting libraries, and interactive dashboard platforms.
• Dataflow & Processing:
  Hands-on experience working directly with customer dataflows, data pipeline architectures, continuous processing, and large-scale data aggregation.
• Data Curation & Quality Assurance:
  Proven track record of evaluating large datasets to spot anomalies, correct structural/logic errors, and curate high-integrity data outputs.
• Education:
  
  Bachelor’s Degree in Data Science, Computer Science, Statistics, Mathematics, or a related technical discipline, PLUS 7+ years of professional experience in data science, data analytics, or software engineering OR Master’s Degree in a related field, PLUS 5+ years of professional experience OR High School Diploma / GED, PLUS 11+ years of relevant hands-on technical experience in lieu of a degree.

• AI & Machine Learning:
  Experience exploring, fine-tuning, or integrating AI models and Large Language Models (LLMs) into data workflows.
• Natural Language Processing (NLP):
  Familiarity with NLP techniques, frameworks, and libraries (e.g., spaCy, NLTK, Hugging Face) for text analytics and unstructured data extraction.
• Big Data Frameworks:
  Experience with distributed computing systems (e.g., PySpark, Hadoop, Elastic Search) for managing large-scale enterprise data.
• Collaborative Engineering:
  Familiarity with Agile development practices, CI/CD pipelines, and version control tools (Git).

Nyla Technology Solutions delivers exceptional Artificial Intelligence (AI), Data Science, and Software Engineering services for the U.S. Government. Nyla embraces a forward-thinking and bold approach at every turn, earning us a solid reputation of technical trendsetters within the industry. We have a passion for developing solutions that have a quick and immediate impact on mission. Headquartered in Columbia, Maryland, our customers love how we tackle their most challenging problems and get things done.

If you have the unique experience and expertise we are seeking, along with the desire and determination to invest your time and energy as a part of Nyla's team, Taking Care of All of You Nyla provides a top-of-market compensation and benefits package. And through our unique Nyla FLEX program, we custom tailor these benefits to best fit your lifestyle.

• PAY – Nyla starts with 4 weeks of Annual Leave plus 11 holidays and an additional day of Annual Leave for each year you're at the company. You have the flexibility to cash out your annual leave hours, opt out of other Nyla benefits, and/or arrange for additional hours on contract (over 40 hrs/week). There's even an option to earn 1.3…