Senior Dashboard Developer

Nyla Technology Solutions•Annapolis Junction, MD

20h

About The Position

We are seeking an analytical, forward-thinking Data Optimization & Insights Engineer to streamline complex data processing operations and extract high-value intelligence from large-scale data streams. In this role, you will analyze high-throughput data processing workflows to pinpoint system bottlenecks, refactor inefficient data routines, and optimize overall processing performance. You will translate complex operational data into actionable clarity by crafting intuitive data visualizations, executive dashboards, and comprehensive data insight reports for key decision-makers. Additionally, you will have the opportunity to apply machine learning algorithms and work with specialized signals data formats to drive automation and keep critical intelligence pipelines operating at peak performance.

Requirements

ACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL IS REQUIRED
Proven expertise analyzing, profiling, and optimizing complex data processing pipelines to eliminate inefficiencies and reduce latency.
Hands-on experience designing and delivering interactive dashboards and visual representations of complex operational datasets.
Demonstrated ability to synthesize technical data outputs into executive-level insight reports and actionable intelligence briefings.
Strong scripting and programming skills (e.g., Python, SQL, Java) to inspect, manipulate, and restructure high-volume data routines.
Ability to identify structural system bottlenecks, audit data flows, and propose automated remediation strategies.
Bachelor’s Degree in Data Science, Computer Science, Computational Linguistics, Mathematics, or a related technical discipline, PLUS 10 + years of professional experience in data science, NLP, or software engineering OR Associate's Degree PLUS 12+ years of specialized technical experience in lieu of a degree.

Nice To Haves

Applied experience developing, training, or deploying machine learning algorithms for pattern recognition or anomaly detection.
Domain familiarity with PROFORMA or related intelligence data standards and processing techniques.
Hands-on experience with distributed data processing engines such as Apache Spark, ElasticSearch, or Hadoop.

Responsibilities

Analyze high-throughput data processing workflows to pinpoint system bottlenecks, refactor inefficient data routines, and optimize overall processing performance.
Translate complex operational data into actionable clarity by crafting intuitive data visualizations, executive dashboards, and comprehensive data insight reports for key decision-makers.
Apply machine learning algorithms and work with specialized signals data formats to drive automation and keep critical intelligence pipelines operating at peak performance.