Job description

ACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL IS REQUIRED 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. The annual base salary range for this role is $156,000-$184,000 (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 Processing Optimization: Proven expertise analyzing, profiling, and optimizing complex data processing pipelines to eliminate inefficiencies and reduce latency. • Data Visualization & Dashboard Engineering: Hands-on experience designing and delivering interactive dashboards and visual representations of complex operational datasets. • Data Insight Reporting: Demonstrated ability to synthesize technical data outputs into executive-level insight reports and actionable intelligence briefings. • Data Engineering & Scripting: Strong scripting and programming skills (e.g., Python, SQL, Java) to inspect, manipulate, and restructure high-volume data routines. • Process Identification & System Profiling: Ability to identify structural system bottlenecks, audit data flows, and propose automated remediation strategies. Education: 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. Machine Learning & Predictive Analytics: Applied experience developing, training, or deploying machine learning algorithms for pattern recognition or anomaly detection. Specialized Signals Data Formats: Domain familiarity with PROFORMA or related intelligence data standards and processing techniques. Big Data Frameworks: Hands-on experience with distributed data processing engines such as Apache Spark, ElasticSearch, or Hadoop.

Requirements

Must-haves

ACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL IS REQUIRED
Data Processing Optimization: Proven expertise analyzing, profiling, and optimizing complex data processing pipelines to eliminate inefficiencies and reduce latency.
Data Visualization & Dashboard Engineering: Hands-on experience designing and delivering interactive dashboards and visual representations of complex operational datasets.
Data Insight Reporting: Demonstrated ability to synthesize technical data outputs into executive-level insight reports and actionable intelligence briefings.
Data Engineering & Scripting: Strong scripting and programming skills (e.g., Python, SQL, Java) to inspect, manipulate, and restructure high-volume data routines.
Process Identification & System Profiling: Ability to identify structural system bottlenecks, audit data flows, and propose automated remediation strategies.
Machine Learning & Predictive Analytics: Applied experience developing, training, or deploying machine learning algorithms for pattern recognition or anomaly detection.
Specialized Signals Data Formats: Domain familiarity with PROFORMA or related intelligence data standards and processing techniques.
Big Data Frameworks: Hands-on experience with distributed data processing engines such as Apache Spark, ElasticSearch, or Hadoop.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningpythonsqljava

Platform: agile-ats
Effort: medium