Interactive Brokers

Data Platform Engineer

Interactive Brokers • $120K — $145K *
Greenwich, CT 06830In-Person
Information Technology
5 - 7 years of experience
Today
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Job Overview by Ladders

Qualifications

  • 5+ years of hands-on data engineering or data platform experience
  • Strong experience with AWS services like S3, Glue, and EMR
  • Proficiency in Python and experience with scalable ETL/ELT pipelines
  • Experience with infrastructure as code using Terraform
  • Solid understanding of data governance and AWS Lake Formation
  • Strong SQL skills for data analysis and transformation
  • Foundational knowledge of GenAI concepts, willing to deepen expertise

Responsibilities

  • Design, build, and operate the data lake platform and infrastructure
  • Implement data governance and access control using AWS Lake Formation
  • Automate infrastructure provisioning as code with Terraform
  • Contribute to the GenAI knowledge base and Python services
  • Build and maintain real-time streaming data pipelines
  • Ingest and transform data from various sources for analytics and AI workloads
  • Monitor, troubleshoot, and optimize platform performance and cost efficiency

Benefits

  • Competitive salary, annual performance-based bonus, and stock awards
  • 401(k) plan with competitive company match
  • 100% employer-paid medical premiums with generous contributions to dental and vision
  • Generous paid parental leave (up to 16 weeks)
  • Company-paid life insurance and disability coverage
  • Education reimbursement and professional development opportunities
  • Daily lunch allowance and fully stocked kitchen with healthy options
Full Job Description
This is Hybrid role (3 days in office /2 days remote)

What will be your responsibilities within IBKR:
  • Design, build, and operate the data lake platform and infrastructure, including S3-based storage and the AWS Glue data catalog, delivered as a governed, self-service platform that internal teams can build on
  • Design and implement data governance and fine-grained access control across the platform using AWS Lake Formation, ensuring secure, least-privilege, and compliant access to data domains
  • Automate infrastructure provisioning as code (e.g., Terraform), giving internal teams a repeatable, self-service path to stand up new platform resources
  • Contribute to the GenAI knowledge base platform and Python-based services that internal teams use to build retrieval-augmented (RAG) and knowledge-driven AI applications
  • Build or contribute to real-time streaming data pipelines (e.g., using Kafka) for event-driven analytics and data processing, as platform needs evolve
  • Build and maintain scalable ETL/ELT pipelines and data crawlers to ingest data from various sources, transforming structured, semi-structured, and unstructured data (text, images, audio, video) for analytics and AI/ML workloads
  • Monitor, troubleshoot, and continuously optimize the platform for performance, reliability, data quality, and cost efficiency, treating observability as a core platform capability
  • Collaborate with internal development teams, data scientists, and stakeholders to understand requirements, architect platform solutions, and enable teams through clear standards and technical documentation
  • Write clean, maintainable, well-tested code following software engineering and data engineering best practices


What required skill's you need:

Core Data Platform & Cloud Engineering
  • 5+ years of hands-on data engineering or data platform experience, including building infrastructure, platforms, or tooling used by other engineering teams
  • Strong experience with AWS cloud services, particularly S3, AWS Glue, Athena, and EMR
  • Experience with data governance and fine-grained access control, including AWS Lake Formation
  • Experience with infrastructure as code (e.g., Terraform) to build and manage cloud infrastructure and governance in a versioned, repeatable way
  • Solid understanding of data lake architectures, cataloging, and partitioning strategies
  • Proficiency in Python, with experience building and maintaining scalable ETL/ELT pipelines for data processing and automation
  • Experience with PySpark on EMR for large-scale data processing
  • Strong SQL skills for data analysis and transformation
  • Experience with CI/CD practices, version control (Git), and containerization (Docker)


AI/GenAI Platform
  • Foundational understanding of GenAI concepts such as RAG architectures, vector databases, or semantic search, with willingness to build deeper hands-on expertise
  • Familiarity with AWS AI/ML services (e.g., Bedrock, SageMaker) or equivalent tools


Good to have
  • Experience with modern table formats (e.g., Iceberg) and schema evolution at scale
  • Experience with Kafka or other streaming platforms for real-time data pipelines
  • Experience with Kubernetes/EKS and workflow orchestration tools (e.g., Airflow, AWS Step Functions, Managed Airflow)
  • Experience with observability engineering (e.g., CloudWatch, Elastic/ELK stack)
  • Experience with data quality frameworks and tooling (e.g., Glue Data Quality)
  • Background in building knowledge management systems or enterprise search solutions
  • Experience in financial services or other regulated data environments


To be successful in this position, you will have the following:
  • 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 awards
  • 401(k) retirement plan with competitive company match
  • Excellent health and wellness benefits, including medical, dental, and vision benefits. 100% employer-paid medical premiums, with generous employer contributions to dental & vision plans as well.
  • Wellness screening and assessments, health coaches, and counseling services through an Employee Assistance Program (EAP)
  • Generous paid parental leave (up to 16 weeks paid parental leave for eligible employees)
  • Company-paid basic life insurance, accidental death & dismemberment (AD&D), and short- and long-term disability coverage
  • Flexible Spending Accounts (Healthcare, Dependent Care, and Commuter FSAs)
  • Quarterly fitness stipend to offset costs associated with traditional gym and fitness memberships or fees
  • Education reimbursement and professional development opportunities
  • Legal services, telehealth access, and voluntary insurance options
  • Backup child and adult care support through Care.com
  • Daily lunch allowance and fully stocked kitchen with healthy breakfast and snack options

About Interactive Brokers

Interactive Brokers is a leading online brokerage firm. They offer a wide range of services to clients, including trading in stocks, options, futures, currencies, and bonds. Interactive Brokers is known for their low fees and advanced trading platform. They have a team of experienced professionals who are committed to providing the best service to their clients. Interactive Brokers is a publicly traded company and is listed on the NASDAQ stock exchange.
Learn more about Interactive Brokers
Size
2,683 employees
Market Cap
$30 billion
Industry
Finance & Insurance
Net Income
$195 million
5 Year Trend
+14.8%
Revenue
$2.4 billion
NASDAQ
IBKR
* Ladders Estimates

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