• Work with technologies that ensure our data pipeline efficiently maintains and calculates data for the 7 million+ securities in our universe. • Work on features that ensure financial data is consistent, reliable, timely and accurate by importing data from third party data providers and performing custom calculations on this imported data, with day-to-day emphasis on database load management, caching strategies, memory efficiency, and query optimization. • Write code (and unit tests!) in Python and the Django framework to implement complex backend features. • Use tools like Airflow to build / enhance financial data pipelines for over 7 million securities. • Make use of pandas and asynchronous task tools like celery to efficiently calculate 4,000+ unique data points for each security. • Profile and optimize database queries — analyze query plans, design effective indexes, and eliminate N+1s and slow paths that don't hold up under production load. • Manage database load — reason about read/write patterns, connection usage, replica strategy, and batching to keep the data tier healthy as volume grows. • Design and tune caching layers to reduce redundant computation and database pressure while keeping data fresh and correct. • Design robust, scalable data models that account for the structure, type, and volume of data to store, and how it will be queried. • Investigate and resolve performance regressions and incidents — using metrics, profiling, and monitoring to find root causes. • Design, plan, estimate, and ticket features that are scoped by our product team. • Perform code reviews for other engineers on the team. • Document the work you have done both in repo as well as outside of the repo for future engineers. • Collaborate with other engineers both verbally and in writing to plan, design, and build a world-class financial research platform.

• Partner with Enterprise Architects, Senior Architects, and cross functional teams, including business stakeholders, to shape solution architectures aligned to a unified IT data strategy. • Contribute to Empower’s technology roadmap by documenting target state architectures, reference architectures, and key dependencies for supported initiatives. • Design and support modernization and migration of complex systems to scalable, secure, and cost optimized cloud architectures, working with delivery teams through implementation. • Evaluate and prototype new technologies and applications, challenge existing approaches constructively, and provide input into business cases and recommendations. • Apply and help operationalize architectural standards, best practices, and governance expectations, supporting consistent adoption through guidance and enablement. • Collaborate closely with business and engineering teams to design end to end solutions that meet strategic, technical, and operational objectives. • Provide architectural guidance in process design, system orchestration, and enterprise integration to enable cohesive and efficient technology ecosystems. • Champion security, resilience, and scalability as core design principles across data platforms and data solutions. • Contribute to architecture discipline maturity by producing reusable patterns, decision documentation, and lessons learned that improve consistency and delivery speed. • Support full stack development teams through solution design and implementation, improving long term scalability, performance, and cost outcomes.

• Build and maintain core market data infrastructure in Rust • Work through the practical problems specific to real-time market data: cross-exchange pricing differences, data quality, latency • Bring real market data or trading systems knowledge into engineering decisions • Communicate clearly with the rest of the team as the group grows • Take on leadership of a small team over time, not immediately

Role Description Talend developer with experience designing and delivering complex, large-volume data warehouse applications. - Senior Level Talend ETL development (4+ years of hard-core Talend experience) - Teradata experience, including Multiload, Fastload, T-Pump and preferably TPT - Experience in Big Data and Snowflake is preferred - Preferably has exposure in Map Reduce components in Talend - Strong experience in advanced SQL programming - Minimum data modeling experience - High volume data warehouse design experience taking Teradata unique nuances into account such as skewing considerations - Solid and professional communications skills, both verbal and written - Unix familiarity and shell scripting experience - Strong knowledge of Software Development Lifecycle (SDLC) - Job scheduling experience using Maestro is required - Strong experience in Data Quality, Source Systems Analysis, Business Rules Validation, Source Target Mapping Design, Performance Tuning and High Volume Data Loads - Strong written and oral communication skills are essential - Strong analytical skills and ability to resolve problems are desired - Some knowledge of the mortgage industry required - Ability to work independently and multi-task to meet critical deadlines in a rapidly changing environment - Working knowledge of source-code control using any tool available in the market is preferred - High energy, self-motivation, attention to detail, creativity, flexibility, and ability to work under pressure - Flexibility to work additional hours on an as-needed basis to meet deadlines and with offshore team Requirements - Total IT experience of 6+ years Roles & Responsibilities - Analyze, design, implement and maintain high volume, multi-terabyte 24/7 data warehouse robust and fast ETL applications - Advanced ETL development using Talend Big Data platform - Be a senior technical player on complex ETL development projects with multiple team members - Develop relevant functional and technical documentation - Lead, design and develop data warehouse solutions using different architecture, design and modeling techniques