Fintal Partners
Senior Software Engineer - Data Infrastructure
Fintal Partners, Chicago, Illinois, United States, 60290
Senior Software Engineer - Data Infrastructure
This range is provided by Fintal Partners. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range $250,000.00/yr - $400,000.00/yr
Direct message the job poster from Fintal Partners
I am building the best companies to work for in the world | 40 under 40 We are a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. For the last 30 years, we’ve been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.
We are seeking a dedicated and experienced Software / Data Engineer to join our Chicago team. The ideal candidate is energized by working in a cutting-edge environment that enables us to continue to be at the forefront of the evolving global financial markets.
Core Responsibilities
Architect, develop and deploy our Big Data environment (Kafka, Hadoop, Dremio, etc.)
Build, deploy, and monitor our data processing pipelines (Java, Python, Spark, Flink)
Collaborate with development teams on data modeling, data ingestion, and capacity planning
Work with users to ensure data integrity and availability
Act as a Big Data SME and consult on a variety of data-related questions from users and developers
Skills and Experience
5+ years experience working in a mature data engineering environment
3+ years of experience building Kafka streaming applications and/or maintaining Kafka clusters
2+ years of experience building applications/pipelines with Big Data backends (S3, HDFS, Databricks, Iceberg, etc)
Experience with Apache Spark, Apache Flink or similar tools
Strong Java, Python, and SQL development skills
Experience with common data-science toolkits, especially python-based
Hands‑on experience with Kubernetes and Docker
Experience with monitoring tools such as Prometheus/Grafana, Alert Manager, Alerta, and OpsGenie
Strong statistical analysis skills
Demonstrated ability to troubleshoot and conduct root‑cause analysis
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Capital Markets
Benefits
Medical insurance
Vision insurance
401(k)
#J-18808-Ljbffr
Base pay range $250,000.00/yr - $400,000.00/yr
Direct message the job poster from Fintal Partners
I am building the best companies to work for in the world | 40 under 40 We are a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. For the last 30 years, we’ve been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.
We are seeking a dedicated and experienced Software / Data Engineer to join our Chicago team. The ideal candidate is energized by working in a cutting-edge environment that enables us to continue to be at the forefront of the evolving global financial markets.
Core Responsibilities
Architect, develop and deploy our Big Data environment (Kafka, Hadoop, Dremio, etc.)
Build, deploy, and monitor our data processing pipelines (Java, Python, Spark, Flink)
Collaborate with development teams on data modeling, data ingestion, and capacity planning
Work with users to ensure data integrity and availability
Act as a Big Data SME and consult on a variety of data-related questions from users and developers
Skills and Experience
5+ years experience working in a mature data engineering environment
3+ years of experience building Kafka streaming applications and/or maintaining Kafka clusters
2+ years of experience building applications/pipelines with Big Data backends (S3, HDFS, Databricks, Iceberg, etc)
Experience with Apache Spark, Apache Flink or similar tools
Strong Java, Python, and SQL development skills
Experience with common data-science toolkits, especially python-based
Hands‑on experience with Kubernetes and Docker
Experience with monitoring tools such as Prometheus/Grafana, Alert Manager, Alerta, and OpsGenie
Strong statistical analysis skills
Demonstrated ability to troubleshoot and conduct root‑cause analysis
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Capital Markets
Benefits
Medical insurance
Vision insurance
401(k)
#J-18808-Ljbffr