Senior Software Engineer, Analytic Services Lead

Parsons Corporation•Reston, VA

2d•$148,300 - $266,900

About The Position

In this role you will own the design, delivery, performance, and operational evolution of the analytics services domain for a large-scale, globally distributed mission platform. Parsons is looking for an amazingly talented Senior Software Engineer, Analytic Services Lead to join our team!

Requirements

TS/SCI minimum clearance required.
Bachelor’s degree in a technical discipline such as Computer Science, Software Engineering, or Information Systems (or 4 additional years of experience in lieu of degree)
15+ years of software, data platform, search, or analytics engineering experience, including 4+ years owning a major technical service domain
Strong hands-on experience with Elasticsearch, Logstash, Kibana/Grafana, and Java-based microservices
Proven ownership of analytics/search architecture across indexing, query design, aggregation patterns, and UI visualization
Strong troubleshooting skills across ingestion, indexing, query performance, UI layers, and distributed systems
An active Top Secret SCI security clearance is required for this position.

Nice To Haves

Experience with Vue.js 3 or similar frameworks for analytics dashboards
Experience building analytics or observability solutions in distributed microservices environments
Experience with telemetry pipelines, distributed tracing, or APM-driven analysis
Experience optimizing Elasticsearch clusters for mixed workloads (user analytics + operational telemetry)
Experience integrating event pipelines or stream processors into analytics workflows

Responsibilities

Owning the analytics services portfolio, including search, aggregations, event rollups, telemetry analytics, and user-facing visualization services
Leading the design and delivery of Java-based analytics microservices and supporting ingestion, indexing, and reporting workflows
Defining indexing, sharding, retention, and query strategies across operational telemetry and business-facing analytics workloads
Tuning and optimizing queries and service interactions to meet strict performance and latency requirements in real-time mission workflows
Ensuring analytics microservices remain scalable, observable, and reliable across globally distributed deployments