Senior Software Engineer; Analytics Services

Job Description

Parsons is looking for an amazingly talented Senior
Software Engineer to join our team focused on Analytic Services!

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.

You will be responsible for a portfolio of Java-based microservices and supporting analytics/search infrastructure built around Elasticsearch, Logstash, Kibana, Grafana, and Vue.js 3 based user interfaces.

This role requires someone who can combine search and aggregation architecture, query performance engineering, telemetry analytics, user-facing analytics design, and operational ownership.

• Own the analytics services portfolio for a globally distributed software platform, including:
• Lead the design and delivery of Java-based microservices supporting analytics, search, aggregation, and reporting workflows
• Own analytics architecture across three primary query/analysis patterns
• Ensure that analytics services support both:
• Tune and optimize analytic queries and service interactions to meet strict performance and latency requirements, especially where analytics are embedded in real-time transaction workflows
• Lead the design and operation of analytics services built on:
• Define indexing, sharding, retention, and query strategy for both operational and user‑facing analytics workloads
• Establish data models and service contracts that support analytics consistency across distributed deployments
• Work closely with data, platform, and software engineering teams to ensure high-quality ingestion pipelines and well‑structured searchable data
• Own the service‑level health, scalability, and observability of analytics microservices
• Guide implementation of dashboards, visualizations, role‑specific analytics views, and reporting capabilities for different user groups
• Partner with operations and engineering teams to use telemetry and APM data to improve system reliability, identify bottlenecks, and support root cause analysis
• Lead major incident analysis where analytics or observability performance impacts mission or platform operations

• Bachelor’s degree in Computer Science, Software Engineering, Data Engineering, Information Systems, or related technical field. 4 Additional years of experience can substitute for a degree.
• 10+ years of software engineering, data platform engineering, search engineering, or analytics platform experience, including 4+ years leading a major technical service area or team.
• Strong experience building and operating analytics or search services in production
• Strong hands‑on experience with:
• Demonstrated ownership of a technical analytics domain from architecture through operations
• Experience leading engineering teams or multi‑team delivery for analytics/search platforms
• Strong troubleshooting skills across ingestion, indexing, query, UI, and platform layers
• Strong written and verbal communication skills, including the ability to explain performance, scale, and trade‑off decisions clearly
• Proven experience with analytics patterns such as:
  • indexed query optimization
  • field aggregations and composite aggregations
  • nested/document-based aggregations
  • rollups and summary generation
  • caching strategies for query performance
• Experience tuning analytics and search services for strict latency and SLA‑driven workflows
• Experience designing analytics services that serve both:
• Strong understanding of data ingestion, indexing, retention, and search relevance/performance tradeoffs
• Experience designing role‑based analytics access patterns and user‑facing analytics/reporting services
• TS/SCI minimum clearance required.
• Domestic and/or international project travel may be required.

• Master’s degree in Data Engineering, Computer Science, Analytics, or related field
• Experience with Vue.js 3 or similar frameworks for analytics dashboards and role‑based user interfaces
• Experience building analytics and observability solutions in distributed microservices environments
• Experience with telemetry pipelines for logs, events, and metrics at large scale
• Familiarity with…