Senior Data Visualization Engineer

Nyla Technology Solutions•Annapolis Junction, MD

About The Position

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.

Requirements

Proven experience designing and presenting complex data findings through clear, interactive visualizations, graphs, charts, and executive-level dashboards.
Practical experience with data aggregation, processing, curation, and identifying/resolving data errors or pipeline anomalies.
Strong hands-on experience using Python and Jupyter notebooks for exploratory data analysis, data wrangling, and prototyping.
In-depth knowledge of customer dataflows, data processing architectures, and handling complex dataset structures.
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.
ACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL IS REQUIRED

Nice To Haves

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.

Responsibilities

Transform complex data streams into intuitive graphs, charts, dashboards, and visual findings.
Drive data aggregation, processing, and curation.
Pinpoint and correct data anomalies.
Build the visual layer of critical mission workflows using Python, Jupyter, and customer dataflows.