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Data Engineer (Gen AI)
Interactive Brokers Group, Inc.
- United States
- United States
À propos
IBKR affiliates provide global electronic brokerage services around the clock on stocks, options, futures, currencies, bonds, and funds to clients in over 200 countries and territories. We serve individual investors and institutions, including financial advisors, hedge funds and introducing brokers. Our advanced technology, competitive pricing, and global market help our clients to make the most of their investments.
Barron's has recognized Interactive Brokers as the #1 online broker for six consecutive years. Join our dynamic, multi-national team and be a part of a company that simplifies and enhances financial opportunities using state-of-the-art technology.
This is Hybrid role (3 days in office /2 days remote)
About your Team The Enterprise Architecture organization is looking for a Data Engineer to join the team and help build the next generation of data infrastructure and AI-enabled workflows. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines, data lake platforms, and analytics solutions that support enterprise-wide AI initiatives and advanced analytics capabilities. You will partner closely with internal development teams and IT leadership to architect data solutions that meet diverse use-cases across the organization. This role offers the opportunity to work with cutting‑edge data technologies, AI knowledge bases, and cloud‑native data platforms as we scale our data operations. Your work will focus on delivering robust, well‑documented data solutions and establishing best practices for data engineering across the enterprise.
Job Responsibilities
Design, build, and maintain scalable data crawlers and ETL/ELT pipelines to ingest data from various sources including enterprise collaboration tools, web applications, and internal databases
Develop and manage data lake platform infrastructure including S3-based storage, Iceberg tables, AWS Glue data catalog, and cloud data warehouse solutions for analytics workloads
Build and optimize real‑time streaming data pipelines using Kafka for event‑driven analytics and data processing
Create and maintain data transformation pipelines to clean, curate, and prepare data for analytics and AI/ML applications, supporting multiple data formats including structured, semi‑structured, and unstructured data (text, images, audio, video)
Develop Python‑based applications for data ingestion, processing, and integration supporting Gen AI RAG workflows and knowledge base systems
Collaborate with internal development teams, data scientists, and stakeholders to understand requirements, architect appropriate data solutions, and create comprehensive technical documentation
Monitor, troubleshoot, and optimize data pipelines for performance, reliability, and data quality
Write clean, maintainable, well‑tested code following software engineering and data engineering best practices
Create comprehensive technical documentation for data pipelines, architectures, and platform capabilities
Required Skills
6+ years of hands‑on data engineering experience with modern data stack technologies
Strong experience with AWS cloud services, particularly: S3, AWS Glue, Athena, EMR, Lambda
Proficiency in Python for data processing, ETL, and application development
Experience with PySpark on EMR for large‑scale data processing
Strong SQL skills for data analysis and transformation
Experience building and maintaining ETL/ELT pipelines at scale
Experience with Kafka for streaming data pipelines and real‑time data processing
Knowledge of data lake architectures and modern table formats (e.g., Iceberg)
Experience with CI/CD practices using Git, version control systems, and containerization (Docker)
Understanding of data modeling, data warehousing concepts, and analytics best practices
Exceptional problem‑solving and analytical skills
Excellent collaboration and communication (verbal and written) skills
Self‑motivated with ability to work independently and manage multiple priorities
Willingness and enthusiasm to learn AI/ML technologies, stay current with emerging data engineering trends
Success Traits
Self‑motivated and able to handle tasks with minimal supervision.
Superb analytical and problem‑solving skills.
Excellent collaboration and communication (verbal and written) skills.
Outstanding organizational and time management skills.
Company Benefits & Perks
Competitive salary, annual performance‑based bonus and stock grant
Retirement plan 401(k) with competitive company match
Excellent health and wellness benefits, including medical, dental, and vision benefits. Company paid medical healthcare premium.
Wellness screenings and assessments, health coaches and counseling services through an Employee Assistance Program (EAP)
Paid time off and a generous parental leave policy
Daily company lunch allowance provided and a fully stocked kitchen with healthy options for breakfast and snack
Corporate events including team outings, dinners, volunteer activities and company sports teams
Education reimbursement and learning opportunities
Modern offices with multi‑monitor setups
The anticipated base salary range for this role is $150,000 to $200,000 per year, based on skills, experience, and location. The offered salary is just part of the total compensation package. In addition to a competitive salary, the company offers both a discretionary cash bonus and a stock award, as well as a wide range of benefits, including healthcare, tuition reimbursement, and more.
As set forth in Interactive Brokers’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.
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Compétences linguistiques
- English
Avis aux utilisateurs
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