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# Software Engineer 1

- **Company:** Geospark Analytics
- **Location:** Washington, DC, United States
- **Salary:** $110,000.0 - $130,000.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Amazon S3, Cloud Computing, Databases, Data Stores, Software Debugging, Distributed Systems, Amazon DynamoDB, Elasticsearch, Monitoring of Systems, Intelligence Analysis, Data Intelligence, Python (Programming Language), PostgreSQL, Node.Js, NoSQL, Queueing Systems, Redis, Software Engineering, TypeScript, Datadog, AWS Cdk, Data Ingestion, Database Optimization, Caching, Event Driven Architecture, Full-text Search, Amazon Simple Queue Service (SQS), Data Pipelines, Microservices
- **Published:** September 13, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=4859ae9dd258efd0

## About the Role

Languages: Experience with TypeScript, Node.js, Python, and other modern languages

Event-Driven Architecture: Experience designing and debugging event-driven systems (EventBridge, message queues, async patterns, orchestration)

Data Pipelines: Experience building high-volume, low-latency data ingestion and processing pipelines; understanding of batch vs. real-time tradeoffs

AWS: Hands-on work with SQS, S3, ECR, AWS CDK; comfortable reasoning about cloud infrastructure costs and scaling

Databases: Working knowledge of both relational (PostgreSQL) and NoSQL (DynamoDB); experience optimizing queries and schema design for high-volume workloads

Search & Caching: Experience with in-memory data stores (Redis), familiarity with OpenSearch/ElasticSearch (full-text search, indexing strategies)

Monitoring & Observability: Proficiency with Datadog or similar monitoring tools; ability to instrument code for observability and debug production issues

Microservices: Understanding of service boundaries, async communication patterns, and debugging across distributed systems

Infrastructure as Code: Comfortable with AWS CDK or similar tools for defining infrastructure in code

Coding agents: Comfortable leveraging AI tooling for development acceleration, building custom skills, and automating repetitive tasks.

## Description

You will join the Collections & Alerts software development team to build the platform's data ingestion and processing infrastructure. Your pipelines power real-time intelligence; when they fail, customers notice. You'll design and build high-volume data pipelines, architect event-driven systems that process intelligence data at scale, optimize queries and schemas for heavy load, instrument services for observability, and debug production issues across distributed systems. You'll work directly with our intelligence analysts and product team to understand requirements and ensure software meets both performance and analytical needs.


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