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This range is provided by Selby Jennings. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
$175,000.00/yr - $225,000.00/yr
Additional compensation types
Annual Bonus
Direct message the job poster from Selby Jennings
FinTech Headhunter | Prop Trading and Hedge Funds
Primary Duties
- Design and implement scalable infrastructure for large-scale data systems (e.g., Kafka, Hadoop, Dremio)
- Develop, deploy, and oversee data pipelines using technologies such as Java, Python, Spark, and Flink
- Partner with engineering teams to support data architecture, ingestion strategies, and system scalability
- Ensure data quality, consistency, and accessibility for internal stakeholders
- Serve as a subject matter expert in Big Data, offering guidance and support to both technical and non-technical teams
Qualifications and Skills
- Minimum of 5 years in a robust data engineering environment
- At least 3 years of hands-on experience with Kafka, including stream processing and cluster management
- 2+ years working with large-scale data storage solutions (e.g., S3, HDFS, Databricks, Iceberg)
- Proficiency with distributed data processing tools like Apache Spark or Flink
- Strong programming background in Java, Python, and SQL
- Familiarity with Python-based data science libraries and toolkits
- Experience deploying applications in containerized environments using Docker and Kubernetes
- Knowledge of monitoring and alerting tools such as Prometheus, Grafana, Alert Manager, Alerta, and OpsGenie
- Solid foundation in statistical analysis and troubleshooting methodologies
- Comfortable with Unix-based scripting (e.g., Bash, Python)
Seniority level
Seniority level
Mid-Senior level
Employment type
Employment type
Full-time
Job function
Job function
Engineering, Finance, and Information TechnologyIndustries
Capital Markets and Financial Services
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