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.

Role Description The Data Movement Engineer supports the modernization of enterprise data platforms by providing production support and technical leadership for ETL and Snowflake-based data solutions. This role is responsible for designing, optimizing, and supporting data movement frameworks while ensuring data quality, reliability, and performance across systems. The position also provides mentoring and technical guidance to team members and collaborates closely with business and technical stakeholders. Key Responsibilities - Snowflake Data Operations & Production Support - Manage the full lifecycle of Snowflake data operations including monitoring, troubleshooting, and optimization. - Provide production support for Snowflake, IBM DB2, and orchestration platforms. - Proactively identify and resolve data integrity, latency, and pipeline failures. - Perform root cause analysis for data discrepancies and operational issues. - Participate in on-call and after-hours production support rotations. - Data Pipeline Design & Optimization - Design, develop, and optimize Snowflake data pipelines and data models. - Translate stakeholder requirements into Snowflake-based data movement solutions. - Develop and optimize SQL queries, warehouse configurations, and performance strategies. - Support Change Data Capture and Slowly Changing Dimensions Type 2 implementations. - Implement best practices for data ingestion, transformation, storage, security, and modeling. - Data Architecture & Modeling - Support dimensional modeling and Data Vault methodologies within Snowflake. - Contribute to architectural decisions for scalable and reliable data solutions. - Ensure alignment with enterprise data architecture and security standards. - Data Quality, Governance & Validation - Perform data quality analysis and propose corrective actions. - Implement validation, reconciliation, and consistency checks within pipelines. - Ensure data accuracy, completeness, and consistency across systems. - Support governance initiatives including metadata management and data lineage. - Collaboration, Leadership & Documentation - Provide technical leadership, code reviews, and mentoring to junior team members. - Collaborate with business stakeholders, data architects, and application teams. - Communicate issue status, risks, and resolution timelines clearly. - Maintain comprehensive documentation for Snowflake processes, fixes, and scripts. - Develop and maintain production support playbooks and ticket resolution procedures. - Prepare effort estimates and provide regular reporting on issue trends and improvement initiatives. Qualifications - 5 or more years of experience in data warehousing, business intelligence, or data analysis. - 3 or more years of SQL development experience across multiple platforms including Snowflake, Oracle, SQL Server, or DB2. - 5 or more years of experience supporting Snowflake development and data warehousing solutions. - Strong expertise in Snowflake development, data modeling, and security. - Strong proficiency in SQL and scripting languages such as Python or Shell. - Experience working with cloud database technologies. - Experience with orchestration tools such as Airflow or ESP. - Familiarity with version control systems including Git. - Experience with incident management tools such as ServiceNow or Jira. - Strong understanding of data architecture, dimensional modeling, and Data Vault frameworks. - Proven ability to work independently with strong analytical and problem-solving skills. Preferred Qualifications - Snowflake certification. - Experience implementing CI/CD practices for data pipelines. - Experience supporting enterprise-scale ETL and production environments. Core Skills & Attributes - Strong analytical thinking and troubleshooting skills. - Ability to lead complex initiatives and mentor team members. - Strong organizational and time management capabilities. - Clear communication with technical and non-technical stakeholders. - Attention to detail and commitment to data quality and reliability. Benefits - Competitive salary. - Remote location. - Senior Level (5 or more years of relevant experience). This is a remote position.

• Design and implement scalable, high-performance data pipelines for structured and unstructured data • Build and maintain enterprise-grade data architecture across cloud and on-prem environments (AWS, Azure, or GCP) • Define and implement data modeling strategies (data warehouses, data lakes, real-time streaming) • Collaborate with business stakeholders to translate requirements into technical solutions • Ensure data quality, governance, security, and compliance across all data assets • Perform complex data analysis and support reporting and analytics initiatives • Evaluate and recommend modern tools, frameworks, and best practices in data engineering • Integrate data from multiple sources and optimize data performance • Provide technical direction and architectural guidance across data projects