Senior Data Visualization Engineer

Job Description

ACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL IS REQUIRED

As a Data Visualization & Analytics Engineer on Team Nyla, you will bring your technical creativity and analytical curiosity to transform complex data streams into intuitive graphs, charts, dashboards, and visual findings. Working alongside a team of brilliant, ever-curious engineers and analysts, you will drive data aggregation, processing, and curation, while pinpointing and correcting data anomalies along the way. Using Python, Jupyter, and deep familiarity with customer dataflows, you’ll help build the visual layer of critical mission workflows.

If you are passionate about continuous learning, rapid impact, and data clarity, you'll fit right in.

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.

• Data Visualization & Analytics:
  Proven experience designing and presenting complex data findings through clear, interactive visualizations, graphs, charts, and executive-level dashboards.
• Data Processing & Curation:
  Practical experience with data aggregation, processing, curation, and identifying/resolving data errors or pipeline anomalies.
• Development Toolkit:
  Strong hands-on experience using Python and Jupyter notebooks for exploratory data analysis, data wrangling, and prototyping.
• Customer Dataflows:
  In-depth knowledge of customer dataflows, data processing architectures, and handling complex dataset structures.

Education:

Bachelor’s Degree in Data Science, Computer Science, Computational Linguistics, Mathematics, or a related technical discipline, PLUS 7+ years of professional experience in data science, NLP, or software engineering OR Master’s Degree in a related field, PLUS 5+ years of relevant professional experience OR High School Diploma / GED, PLUS 11+ years of specialized technical experience in lieu of a degree.

Practical experience with Natural Language Processing (NLP) techniques, algorithms, or framework integration.

Exposure to modern AI / Large Language Model (LLM) integration, prompt engineering, or AI-assisted data analytics pipelines.

Familiarity with front-end dashboarding libraries or frameworks (e.g., Plotly, Dash, Streamlit, D3.js).

Active involvement in continuous learning, prototype development, or emerging tech exploration.

Outstanding communication skills with a team-first, collaborative mindset.

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,

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.

The Nyla FLEX benefit program is designed to offer you flexibility in the 3 biggest areas of your life: your pay, your leave, and your schedule.

• 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 times your hourly rate once you work over 1880 hours on contract!
• LEAVE
  - Want to spend more time with the family? Want more…