What you ’ll do As a Data Integration Engineer, you will support data scientists directly embedded on discretionary investing teams. You will help them build data pipelines, integrate data from multiple sources, troubleshoot complicated integration issues, and productionize their data science workloads. Specifically, you will: Interface directly with portfolio managers and data scientists on their teams Help data scientists productionize their work using tools such as Linux compute resources (RHEL8), Apache Airflow, Terraform, and the AWS Cloud (S3, Lambda, EC2, ML Stack) Help data scientists grow their technical toolkit from notebooks to software and services Drive innovation in the big data space, utilizing Spark and Databricks Help data scientists optimize pipelines and queries using Spark, PostgreSQL, and SQL Server Help design software packages and processes with an emphasis on DevOps best practices Solve integration issues between multiple data teams and technologies Coordinate with technology and business teams to deliver exceptional results Provide both individual coaching and group content to data scientists on our investing platform Assist in professional development efforts

What’s required

We are looking for a technologist who has a broad knowledge base of the constantly evolving IT landscape, specifically with experience in Python, Linux, Apache Airflow, SQL, and AWS services. If you have a passion for helping your clients optimize their data with best-in-class technologies and processes, this might be the right role for you. Specifically, you should have: 3+ years of experience writing Python code that seamlessly explains technical concepts 3 years AWS experience Ability to demonstrate AWS Cloud best practices to users with a broad range of technical backgrounds 2 years Linux/Unix/MacOS experience with ability to show the data science capabilities and efficiencies of these tools Ability to collaborate and share knowledge of distributed compute engines such as Spark/Flink/Snowflake/Presto and a knowledge of where they fit into the data science workflow 3+ years of SQL experience with the ability to optimize basic queries against SQL Server or PostgreSQL Exceptional communication skills and commitment to being a team player Commitment to the highest ethical standards

We take care of our people

We invest in our people, their careers, their health, and their well-being. When you work here, we provide: Fully-paid health care benefits Generous parental and family leave policies Mental and physical wellness programs Volunteer opportunities Non-profit matching gift program Support for employee-led affinity groups representing women, minorities and the LGBTQ+ community Tuition assistance A 401(k) savings program with an employer match and more

About Point72

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. t

The annual base salary range for this role is $150,000-$200,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.