Data Engineer

6 days ago


Greenwich, Connecticut, United States Interactive Brokers Full time
Job Description

Job Title: Senior Data Engineer

Company: Interactive Brokers

Responsibilities
  • Design, develop, and implement data pipelines to collect, clean, and transform data from various sources, ensuring seamless integration with our business operations.
  • Identify valuable data sources and automate collection processes, leveraging our company's vast network of financial institutions.
  • Undertake preprocessing of structured and unstructured data, utilizing our expertise in machine learning and operations research.
  • Assist with data labeling and tagging, collaborating with our engineering and product development teams.
  • Analyze large amounts of information to discover trends and patterns, providing actionable insights to drive business decisions.
  • Present information using data visualization techniques, effectively communicating complex data insights to stakeholders.
  • Propose solutions and strategies to business challenges, leveraging our company's innovative mindset and drive to improve existing systems.
  • Collaborate with engineering and product development teams to design and implement data-driven solutions.
  • Perform feature engineering for AI applications, pushing the boundaries of what is possible in data analysis.
Requirements
  • BS/ MS /PhD in Computer Science, Engineering, or relevant field; graduate degree in Data Science or other quantitative field is preferred.
  • 5 + years of experience as a Data Scientist or Data Analyst, with a proven track record of delivering high-quality data-driven solutions.
  • Experience in data mining, machine learning, and operations research, with a strong understanding of statistical analysis and data visualization.
  • Knowledge of SQL and Python, with familiarity with Java and Python ML frameworks a plus.
  • Experience using ELK Stack (Elasticsearch, Logstash, Kibana) and business intelligence tools (e.g., Tableau) and data frameworks (e.g., Hadoop).
  • Experience with AI/ML-based solutions for data analysis, with a strong analytical mind and business acumen.
  • Strong math skills (e.g. statistics, algebra), with excellent collaboration and communication (Verbal and written) skills.
What We Offer
  • Competitive salary, annual performance-based bonus and stock grant.
  • Retirement plan 401(k) with competitive company match.
  • Excellent health and welfare benefits, including medical, dental, and vision benefits.
  • 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.


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