Data Engineer
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Before you apply
Salary$80k – $120k
LocationOFF USA: NY New York (1345 6th Avenue), United States
Work modeon-site
Typefull-time
SeniorityMid
Experience3+ yrs
Company size10,000+ people
First seenOct 30, 2026 · 1w ago
Verified live3d ago
At a glanceSummarised by Seekless from the posting.
Bachelor's or Master's degree, preferably in Financial Engineering, Mathematics, Statistics, Computer Science, or a related quantitative discipline
3+ years of working with financial market data and data management
Experience working with data products, valuation services, and financial data platforms
Strong analytical, quantitative, and problem-solving skills with the ability to investigate and resolve complex data issues
Ability to multitask, prioritize, and work with tight deadlines
Ability to collaborate with internal teams to facilitate data management processes and solutions
Strong organizational skills with acute attention to details
Experience with equity and commodity derivatives
Advanced proficiency in SQL and Python
Experience with artificial intelligence and machine learning
All qualified applicants will receive consideration for employment without regard to legally protected characteristics
Skills
SQL
Python
artificial intelligence
machine learning
Benefits
Medical insurance
Dental insurance
Vision insurance
401(k)
Life insurance
Paid time off
Paid leave
Job Purpose
ICE Data Services, a part of Intercontinental Exchange, is seeking a Data Engineer to join our Derivatives Market Data team. This group supports critical processes across front, middle, and back offices globally, delivering cross-asset analytical solutions, market data, and valuation capabilities. The team enables intraday, real-time decision-making for financial organizations by connecting strategic objectives with actionable insights for our clients.
The successful candidate will be responsible for monitoring, managing, and enhancing equity and commodity derivatives market data. This role combines financial markets expertise, data engineering, and analytical problem-solving to ensure the accuracy, integrity, and reliability of complex datasets and valuation models. The individual will work closely with Sales, Product Specialists, Account Management and Market Data colleagues across global regions to ensure responsive, high-quality service to existing and prospective clients.
Responsibilities
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Identify data anomalies and implement appropriate remediation actions to improve data quality, consistency, and reliability.
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Calibrate, maintain, and enhance model parameters to sustain high-quality data outputs.
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Design, develop, and implement automated monitoring and alerting solutions to preserve data integrity and operational efficiency.
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Apply programming skills and financial markets experience to clean and manage large volume of historical and real-time implied market data.
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Perform in-depth analysis of derivatives markets and leverage quantitative and technical expertise to support complex structured product pricing and portfolio valuation inquiries.
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Collaborate with internal stakeholders to investigate client issues, deliver timely resolutions, and improve product quality.
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Stay informed of industry developments, market trends, and emerging technologies across equity and commodity derivatives markets.
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Communicate clearly in both writing and verbally: escalate issues and client requirements to Quants, and translate technical processes and solutions for Business Partners and Sales stakeholders.
Knowledge And Experience
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Bachelor’s or Master’s degree required, preferably in Financial Engineering, Mathematics, Statistics, Computer Science, or a related quantitative discipline.
•
3+ years of working with financial market data and data management. Experience with equity and commodity derivatives is a plus.
•
Experience working with data products, valuation services, and financial data platforms.
•
Strong analytical, quantitative, and problem-solving skills with the ability to investigate and resolve complex data issues.
•
Advanced proficiency in SQL and Python preferred.
•
Experience with artificial intelligence and machine learning is a plus.
•
Ability to multitask, prioritize, and work with tight deadlines.
•
Ability to collaborate with internal teams to facilitate data management processes and solutions.
•
Strong organizational skills with acute attention to details.
New York Base Salary Range
Benefits
The expected base salary for this role, if located in New York, is between $80,000 - 120,000 USD. The base salary range does not include Intercontinental Exchange’s incentive compensation. While we provide this range as general guidance, at ICE we compensate employees based on the skillset and experience of the individual. Regular full-time ICE employees are eligible for a suite of competitive employee benefits, including healthcare coverage (medical, dental and vision), a 401(k) plan, life insurance, time off, and paid leave for qualifying circumstances.
Legal
Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.
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