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Trading Analytics Developer, Quantitative Trading
Crypto.com. Design, build, and operate high-throughput batch and streaming data pipelines using Kafka, Flink, and ETL technologies .
Posted 9/15/2026full-timeChicago • California • United StatesMid-LevelSenior💰 $100,000 - $120,000 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and operating high-throughput data pipelines and analytics engines, with a strong focus on financial metrics and trading systems. Proficient in utilizing modern tools and technologies for data processing, monitoring, and AI integration in complex environments.
Highest-signal resume keywords
Python ProgrammingJava ProgrammingApache SparkKafkaAWS Cloud Services
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Pipeline DesignSQL Query OptimizationData ModelingEvent ProcessingTime-Series Data VisualizationAnalytical Database ManagementSystem DesignPerformance OptimizationRAG Pipeline ArchitectureMetric Design
Tools & Technologies
FlinkClickHouseMongoDBBigQuerySnowflakeAirflowJenkinsGrafanaTradingViewKubernetes
Industry Keywords
Financial TechnologyQuantitative FinanceTrading SystemsMarket DataCryptocurrency MarketsDeFiData SubscriptionREST APIWebSocketLLMOps
Tech Stack
Tools & technologiesAirflowApacheAWSBigQueryCloudETLGrafanaJavaJenkinsKafkaKubernetesLinuxMongoDBPythonSparkSQL
About the role
Key responsibilities & impact- Design, build, and operate high-throughput batch and streaming data pipelines using Kafka, Flink, and ETL technologies
- Design and build a unified analytics engine for large-scale data processing using Apache Spark and related tools
- Develop and optimize analytical data models for time-series, financial metrics, and trading activity
- Implement and manage analytical databases such as ClickHouse, MongoDB, BigQuery, and Snowflake with cost-aware architecture
- Build idempotent data pipelines with robust backfill and reconciliation capabilities
- Create comprehensive monitoring for data quality, freshness, and pipeline reliability
- Design, build, and operate internal AI platforms serving multiple trading teams
- Build reusable AI tooling, including standardized RAG pipelines, prompt management, and self-service workflows
- Create and maintain agent systems using LangGraph, A2A, and MCP, focusing on controllability and auditability
Requirements
What you’ll need- 5+ years production experience with both Python and Java in high-performance environments
- Strong software engineering fundamentals: system design, data structures, algorithms, data integrity, accuracy and performance optimization
- Expertise in Linux, Github, and modern CI/CD practices
- Proven experience with AWS cloud services and Kubernetes orchestration
- Comfort working with large-scale, complex datasets in financial/trading contexts
- Advanced SQL with window functions and query optimization
- Realtime data synchronization, database design, and infrastructure support
- Experience with Airflow, Jenkins, AMPS, or similar workflow and messaging orchestration tools
- Metric design and implementation for trading analytics, including PnL, risk, balance and trade reconciliation, backfill and performance tuning
- Time-series data visualization with Grafana, TradingView, web-based interactive dashboards, and BI tools
- Production experience with Kafka, Flink, and event processing
- Retrieval system evaluation methodologies and quality frameworks
- RAG pipeline architecture and optimization techniques
- LLMOps practices including model lifecycle and prompt management
- Experience with AI agent frameworks such as A2A and MCP in production settings
- Experience in trading systems, quantitative finance, or financial technology
- Understanding of market data and data subscription using REST API/WebSocket
- Knowledge of cryptocurrency markets, DeFi, and related technologies
Benefits
Comp & perks- Competitive salary
- Attractive annual leave entitlement including: birthday, work anniversary
- 401(k) plan with employer match
- Eligible for company-sponsored group health, dental, vision, and life/disability insurance
- Flexi-work hour and hybrid set-up
- Internal mobility program offering diverse career scope