Role Description We are seeking an experienced Senior Data Engineer / Data Architect with deep expertise in financial services and capital markets trading systems to design, build, and operate highly scalable, low latency data platforms. This role focuses on creating modern data lakehouse architectures, real time data pipelines, and analytics ready data models that support trading, risk, reporting, and regulatory requirements. - The ideal candidate brings strong technical depth in distributed data systems. - Hands on experience with streaming and batch pipelines. - Solid understanding of trade lifecycle, market data, and regulatory compliance. - You will work closely with trading desks, product teams, AI/analytics teams, and architects to deliver reliable, secure, and high performance data solutions. Qualifications - 7–12+ years of experience in data engineering, backend engineering, or distributed systems. - Strong programming expertise in Python, Scala, and/or Java. - Advanced SQL skills and hands on experience with distributed data processing frameworks such as Apache Spark or Apache Flink. - Extensive experience with streaming platforms including Kafka, Kinesis, or Pulsar. - Hands on experience with data lake and data warehouse technologies such as Databricks, Snowflake, Amazon Redshift, or similar platforms. - Proven experience building real time or near real time data pipelines. - Strong understanding of data modeling, distributed systems, scalability, and performance optimization. Requirements - Experience in Wealth Management or Capital Markets trading systems. - Familiarity with OMS/EMS platforms such as Charles River Development (CRD), Aladdin, FIS, or similar systems. - Strong knowledge of market data across equities, fixed income, derivatives, and other asset classes. - Understanding of the trade lifecycle, including order capture, execution, allocation, clearing, and post trade processing. - Experience with cloud native data platforms on AWS, Azure, or GCP. - Exposure to real time analytics, risk management systems, and regulatory reporting platforms.

Role Description We’re on the hunt for a Senior Data Engineer who thrives in building efficient, scalable, and reliable data pipelines. You’re a self-starter who can take ownership of projects, translate complex business needs into clean datasets, and optimize workflows for performance. If you’re strong in Snowflake, Looker, Python, SQL, and love solving problems with data, this might be your next big move. - Leverage Snowflake and Looker to build, analyze, and optimize scalable data models and reporting solutions. - Perform advanced data analysis using Python and SQL to inform business decisions and improve data processes. - Provide mentorship and guidance to junior team members, helping elevate overall data capabilities and best practices. - Collaborate cross-functionally with engineering, product, and analytics teams. - Ensure data quality, consistency, and governance across the organization. - Drive automation, efficiency, and reliability in data processes. - Participate in code reviews and contribute to the growth of our data engineering best practices. Qualifications - 5+ years of experience in Data Engineering or related roles. - Strong hands-on expertise with Snowflake, Looker, Python, and SQL. - Proven ability to design, optimize, and maintain data workflows. - Excellent problem-solving skills and a passion for clean, maintainable code. - Strong communication skills and ability to work effectively in distributed teams. - Self-starter mindset—comfortable working with minimal supervision. Requirements - Schenectady, New York - Open to 100% Fully Remote Other Information - The work hours will be approximately 9:00 am to 5:00 pm EST, depending on workload, with the occasional late night when a tight deadline calls for it. - We work for security-conscious clients, thus background checks will be required. - Position available immediately.

Role Description Come join our amazing team and work remote from home! Under direct supervision, responsible for assisting in the efforts to design, develop, and maintain databases and data integration (ETL) systems to support business applications and business intelligence for the enterprise. Perform all duties in accordance with the company’s policies and procedures, investor guidelines, all US state and federal laws and regulations, wherein the company operates. The target pay range for this position is $140,000.00 to $160,000.00. - Designs, develops, and optimizes data integration processes, ETL workflows, and data platforms. - Leads the creation of technical designs and functional specifications to ensure performance, scalability, and reliability while contributing to future cloud migration efforts. - Collaborates with stakeholders and third-party vendors to define, evaluate, and align business requirements for scalable data integration, reporting, and business intelligence solutions. - Leads the design and development of automated solutions to improve business processes, productivity, and operational efficiency. - Maintains ETL jobs and leads troubleshooting efforts for critical production issues, participating in the off-hours support rotation and providing SME assistance as needed. - Leads the design, implementation, and maintenance of data platforms, technical designs, and functional specifications to ensure performance, scalability, and reliability. - Develops and maintains comprehensive documentation of data processes, reports, applications, and procedures to ensure consistency, knowledge sharing, and alignment with organizational standards. - Designs, develops, and deploys scalable reporting and dashboard solutions to support business intelligence, data visualization, and operational efficiency, ensuring appropriate security measures. Qualifications - Advanced knowledge of working in the Microsoft SQL Server environment to design, implement, and optimize enterprise data solutions with a focus on scalability and performance. - Strong understanding of ETL concepts, data integration, and transformation processes, with practical experience implementing ETL solutions using Microsoft SSIS. - Working knowledge of version control concepts, with experience using Microsoft DevOps for managing code repositories and collaborative development. - Must have expert knowledge to lead and oversee SDLC processes. - Advanced expertise in T-SQL programming, scripting, and optimization techniques, with the ability to write, debug, and optimize complex queries and procedures for enterprise-level solutions. - Ability to understand, remember, and apply oral and/or written instructions or other information. - Demonstrates advanced analytical and problem-solving abilities to design and optimize complex data solutions while collaborating effectively across teams. - High school diploma or equivalent work experience, bachelor’s degree in computer sciences preferred. - Four (4) or more years of experience in the information technology field with a strong focus on relational databases, data integration (ETL), data warehousing, business intelligence, reports development, and dashboard design. - Four (4) or more years of experience with ETL tools – SSIS. - Four (4) or more years of experience with database management systems – MS SQL. - Strong working knowledge of integrating applications using APIs is preferred. - Experience with Microsoft BI applications (SSRS, SSAS, Power BI) is preferred. - Knowledge of cloud-based database management and integration services (e.g., Azure Data Factory, Fabric, Snowflake, or Databricks) to lead and optimize data integration and transformation processes is a plus. - Proficiency in programming languages commonly used in data engineering, such as Python or Java. Benefits - Comprehensive healthcare plans for you and your family. Plus, a discretionary 401(k) match of 50% of the first 4% of pay contributed. - Access to several fitness, restaurant, retail (and more!) discounts through our employee portal. - Customized training programs to help you advance your career. - Employee referral bonuses so you’ll get paid to help Carrington and Vylla grow. - Educational Reimbursement. - Carrington Charitable Foundation contributes to the community through causes that reflect the interests of Carrington Associates. Company Description Carrington Mortgage Holdings is a holding company whose primary businesses include asset management, mortgages, real estate transactions and real estate logistics. Collectively, the businesses are vertically and horizontally integrated, and provide a broad range of real estate services encompassing nearly all aspects of single-family residential real estate transactions in the United States. Guided by a leadership team with a wealth of industry experience and guided by a consistent philosophy, Carrington maintains the necessary infrastructure to ensure stability and maximize value during any market cycle. We hope you’ll consider joining our growing team of uniquely talented professionals as we transform residential real estate. To read more visit: www.carringtonhc.com .

• The Iceberg Bridge: Own the execution and monitoring of data pipelines moving from the Data Engineering Iceberg warehouse into the Snowflake Business environment. • Staging Layer Excellence: Architect and build a high-quality staging layer in Snowflake. Implement robust data validation and cleaning processes at the point of entry to ensure downstream reliability. • Snowflake Sovereignty: Manage Snowflake schemas, roles, and warehouse configurations. Implement a "Least Privilege" RBAC model aligned with Data Governance Team to secure business data while enabling high-velocity access. • Pipeline Stability: Monitor, troubleshoot, and optimize all downstream data pipelines. Your goal is to eliminate data failures in the refined layers and ensure 99.5% availability for core data assets. • Performance Engineering: Continuously audit and tune Snowflake performance. Identify and resolve bottlenecks in data processing to maintain sub-second response times for AI interfaces and dashboards. • dbt Partnership: Work side-by-side with Analytics Engineers to optimize dbt transformation logic, ensuring the "Source of Truth" is built on the most efficient and reliable staging tables possible. • AI-First Foundation: Structure data schemas specifically for AI consumption, ensuring that our AI Agent Analysts have clean, well-indexed, and logically partitioned data to power Snowflake Cortex. • External Data Integrations: Partner with the Manager of AI Data Enablement to automate data pipelines for external partners and payors.