Senior Software Engineer, Market Data

Ned Davis Research is a global provider of independent investment research, solutions and tools. Founded in 1980, NDR helps clients around the world make objective investment decisions.

Our robust investment research publications, charts and 360-degree approach is proven by our 35 year track-record. With a staff of 70 dedicated professionals, NDR provides guidance on our clients most pressing investment challenges.

About Ned Davis Research ("NDR")

NDR is one of the leading independent investment research companies in North America, and is owned by Delinian Ltd, a portfolio company of Private Equity firm, Epiris. NDR's offering includes, subscription investment research, platform tools, charting indicators, custom research and both standardized and bespoke model portfolios. Further details on NDR's unique investment methodology and process, can be found via clicking on the following link, NDR - about us.

We're looking for a senior software engineer to work across a large family of internally developed software solutions supporting market data ingestion, transformation, validation, documentation, and serving. This role is for someone who can operate across Java services and libraries, SQL Server-backed workflows, file-based processing, and vendor integrations while also helping modernize the platform for the future.

This is a high-impact role for an engineer who can quickly understand complex legacy systems, improve them safely, and help shape the next generation of the platform.

What you'll work on

• Java-based libraries, services, utilities, and webapps
• SQL Server-backed workflows and data structures
• Linux file-system-driven ingestion, transformation, and distribution pipelines
• Integration with vendors such as:
• Refinitiv
• Bloomberg
• Haver
• S&P
• MSCI
• and other market data providers
• Market data documentation and serving platforms
• Batch jobs, loaders, updaters, validators, and scheduler-driven workflows
• Shared framework code used across multiple repositories and product areas
• Formula engines / rule systems / proprietary DSL-style code
• Webservices and webapps for data access and operations
• Test/support projects that protect business-critical data logic

Responsibilities

• Lead development across Java services, libraries, and applications
• Drive improvements to data ingestion, validation, and serving workflows
• Work with SQL Server schemas and operational databases
• Integrate vendor feeds and normalize market/reference data
• Debug difficult production issues across code, data, and infrastructure boundaries
• Refactor legacy systems safely
• Improve automated testing around parsing, calculations, and data correctness
• Help modernize platform architecture and technical practices
• Support market data ingestion and serving to client-facing processes
• Document key systems and processes

Differentiating qualifications

Experience with market data systems is a major differentiator, especially with:

• timeseries data
• membership sets / constituent sets
• vendor data normalization and survivorship
• data history, revisions, and point-in-time correctness
• market data reference models and derived datasets
• platform support for both commercial and internal data products

Required qualifications

• Extensive software engineering experience, with the competence expected of a very senior engineer
• Strong Java development background
• Experience in production systems involving databases and file-based workflows
• Familiarity with SQL Server or similar relational databases
• Experience with backend data pipelines, loaders, or integration platforms
• Strong debugging, system design, and problem-solving skills
• Ability to work effectively across multiple repositories and shared libraries
• Excellent communication and ownership

Preferred qualifications

• Deep experience with market data platforms
• Strong background in timeseries data and membership set / constituent data
• Familiarity with Refinitiv, Bloomberg, Haver, FactSet, Markit, MSCI, or similar vendor ecosystems
• Experience with data lake architectures
• Experience modernizing legacy Java or database-heavy systems
• Experience with formula engines, rule processing, or internal DSLs
• Experience supporting both internal tooling and commercial data products

Forward-looking qualifications

We want this role to help evolve the platform toward:

• Data lake-oriented ingestion and storage
• Improved documentation and serving capabilities
• More modular and automated ingestion pipelines
• Stronger test coverage and validation of complex data logic
• Interfacing with AI platforms as a source of market data
• Support for both open-source-style and commercial platform components where applicable, including:
• Apache Polaris or similar catalog and governance
• Apache Airflow or similar orchestration platforms
• OpenMetadata or similar data discovery, observation, governance platforms

What success looks like

• You make complex changes safely in a production platform
• You bring clarity to hard market-data problems
• You improve the reliability and maintainability of critical data systems
• You help evolve the platform toward modern data architecture
• You become a trusted technical leader across the NDR Market Data ecosystem

We offer a competitive compensation package which empowers our employees to thrive both professionally and personally. Our benefits package includes medical, dental and vision coverage, 401K retirement plan, flexible work arrangements, flex time off & paid holidays, tuition reimbursement & learning resources.

We offer a competitive compensation package which empowers our employees to thrive both professionally and personally. Our benefits package includes medical, dental and vision coverage, employer matching retirement plan, flexible work arrangements, vacation time & paid holidays, tuition reimbursement & learning resources.

NDR provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, colour, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.