Selby Jennings
Data Software Engineer - Prop Trading
Selby Jennings, Chicago, Illinois, United States, 60290
FinTech Headhunter | Prop Trading and Hedge Funds
Role Overview As a Senior Data Software Engineer, you'll play a key role in architecting and scaling data systems that power advanced analytics and decision-making. You'll work with cutting-edge technologies to streamline data workflows and ensure high performance across our platforms. Base pay range
$150,000.00/yr - $200,000.00/yr Additional compensation types
Annual Bonus and Sign-on bonus Responsibilities
Develop and maintain scalable data pipelines using Spark, Databricks, and proprietary high-throughput tools Enhance research data workflows with a focus on fault tolerance, efficiency, and performance optimization Partner with internal stakeholders to create reusable frameworks, onboarding guides, and workflow templates Establish and uphold engineering standards for data architecture and pipeline development Provide technical leadership and mentorship to junior team members, fostering a culture of innovation and operational excellence Qualifications
Minimum 5 years of experience in building and deploying large-scale data solutions Expert-level proficiency in Python, with deep knowledge of Spark and Databricks ecosystems Experience with real-time data processing tools such as Kafka and Delta Lake Strong grasp of cloud-based data infrastructure (preferably AWS) and cost-effective architecture design Skilled in SQL and relational databases like PostgreSQL, with familiarity in orchestration platforms Bonus: Exposure to low-level programming languages (e.g., Rust, C++) and machine learning operations (MLOps) frameworks like MLflow Demonstrated ability to lead initiatives independently and deliver results in dynamic environments Excellent communication skills and a collaborative mindset, especially when working with cross-functional teams Passionate about mentoring and committed to building scalable, maintainable data platforms Degree in Computer Science, Engineering, or a related technical field Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering, Finance, and Information Technology Industries
Financial Services and Capital Markets Referrals increase your chances of interviewing by 2x Were unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr
Role Overview As a Senior Data Software Engineer, you'll play a key role in architecting and scaling data systems that power advanced analytics and decision-making. You'll work with cutting-edge technologies to streamline data workflows and ensure high performance across our platforms. Base pay range
$150,000.00/yr - $200,000.00/yr Additional compensation types
Annual Bonus and Sign-on bonus Responsibilities
Develop and maintain scalable data pipelines using Spark, Databricks, and proprietary high-throughput tools Enhance research data workflows with a focus on fault tolerance, efficiency, and performance optimization Partner with internal stakeholders to create reusable frameworks, onboarding guides, and workflow templates Establish and uphold engineering standards for data architecture and pipeline development Provide technical leadership and mentorship to junior team members, fostering a culture of innovation and operational excellence Qualifications
Minimum 5 years of experience in building and deploying large-scale data solutions Expert-level proficiency in Python, with deep knowledge of Spark and Databricks ecosystems Experience with real-time data processing tools such as Kafka and Delta Lake Strong grasp of cloud-based data infrastructure (preferably AWS) and cost-effective architecture design Skilled in SQL and relational databases like PostgreSQL, with familiarity in orchestration platforms Bonus: Exposure to low-level programming languages (e.g., Rust, C++) and machine learning operations (MLOps) frameworks like MLflow Demonstrated ability to lead initiatives independently and deliver results in dynamic environments Excellent communication skills and a collaborative mindset, especially when working with cross-functional teams Passionate about mentoring and committed to building scalable, maintainable data platforms Degree in Computer Science, Engineering, or a related technical field Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering, Finance, and Information Technology Industries
Financial Services and Capital Markets Referrals increase your chances of interviewing by 2x Were unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr