• Design and implement robust ETL/ELT pipelines to ingest data from legacy on-prem sources, AWS (S3/RDS), and Azure (Blob/SQL), centralizing it for consumption in Snowflake and AI services. • Build and maintain Feature Stores and specialized datasets optimized for machine learning, ensuring Data Scientists have immediate access to clean, versioned, and statistically valid data. • Develop the data pipelines required for Generative AI, including the automated extraction, chunking, and loading of unstructured data into vector stores across AWS and Azure. • Act as the technical lead for our Snowflake data warehouse, implementing sophisticated data modeling, Snowpipe automation, and compute optimization to support high-concurrency AI workloads. • Execute non-invasive data extraction patterns to unlock mission-critical data from decades-old on-premise systems without disrupting core business operations. • Manage complex, cross-platform data workflows using Airflow, Step Functions, or Azure Data Factory, ensuring the synchronization of data across our multi-cloud AI posture. • Partner directly with central IT, Database Administrators, and Security teams to solve connectivity hurdles (PrivateLink, IAM, firewalls) and secure 'license to operate' for new data flows. • Implement automated validation and observability layers to detect data drift and quality issues that could compromise the accuracy of production AI and Data Science models. • Drive the efficiency of our data stack by optimizing storage and query performance in Snowflake, AWS, and Azure to manage the ROI of the Transformation Office. • Work as a dedicated engineering partner to MLOps and Data Science teams to rapidly iterate on data requirements for evolving AI use cases.

• Own end to end solution architecture for connecting source systems to the enterprise analytics platform and delivering governed, performant, reusable data products for analytics and machine learning use cases • Define reference architectures and implementation patterns for Snowflake based solutions, including storage integration and stages, networking connectivity, key management, secure sharing, replication and disaster recovery approaches, and workload and warehouse strategy • Establish and promote architectural standards, best practices, and review mechanisms while mentoring and coaching technology team members to ensure consistent adoption • Collaborate with business and engineering teams to design end to end solutions that meet strategic, technical, and operational objectives and can be delivered incrementally

Our vision for the future is based on the idea that transforming financial lives starts by giving our people the freedom to transform their own. We have a flexible work environment, and fluid career paths. We not only encourage but celebrate internal mobility. We also recognize the importance of purpose, well-being, and work-life balance. Within Empower and our communities, we work hard to create a welcoming and inclusive environment, and our associates dedicate thousands of hours to volunteering for causes that matter most to them. Chart your own path and grow your career while helping more customers achieve financial freedom. Empower Yourself. ***Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time, including CPT/OPT.*** The Data Engineer will design, build, and maintain the organization’s data infrastructure and data ingestion framework. This role will partner closely with cross-functional value stream teams, business teams, architects, and testers to design and implement scalable data solutions on AWS that enable data-driven reporting across the organization and with external vendors. Success in this role requires strong capability in Python, ETL methodologies, SQL, and big data solutions. What you will do - Design, develop, and maintain a scalable data and file ingestion framework. - Collaborate with cross-functional value stream teams, analysts, and business stakeholders to understand and refine data requirements and translate them into technical solutions. - Optimize the data ingestion framework for performance and reliability. - Follow data governance and security best practices. - Troubleshoot data integrity and performance issues. - Participate in code reviews and enforce coding standards. - Participate in architectural decisions and design discussions. - Provide input and work on initiatives to mitigate and/or alleviate core data application issues, including opportunities for process automation. - Collaborate with colleagues on best practices and resolution of data application issues. - Stay current on data engineering trends and technologies and apply them to improve the data framework. - Operate independently with some latitude for un-reviewed actions or decisions. - Complete other duties as assigned. What you will bring - Bachelor’s degree in Computer Science or a related field (for example, Information Systems, Mathematics, Software Engineering) or an equivalent combination of training and experience. - 2–4 years of software development experience, preferably in a data-related field. - Experience with ETL development and design using Python and big data technologies (Hadoop and/or Spark). - Strong SQL knowledge and RDBMS experience with a recognized database (for example, Aurora, MySQL, Postgres, Redshift). - Experience on the AWS platform. - Understanding of dimensional modeling and ER designs. - Exposure to data warehouse principles. - Understanding of SDLC and Agile methodology. - Strong written and verbal communication skills. - Ability to communicate in a friendly and professional manner with customers and colleagues, remain calm in stressful situations, independently troubleshoot program errors regardless of technology, and write user-friendly explanations of technical functionality. - Ability to build collaborative and cooperative relationships, manage conflict effectively, and operate with integrity and respectful communication. What will set you apart - 2 years of IT experience in financial or other highly regulated industry. - Use of Jira in Agile development. - Knowledge of DevOps and CI/CD best practices. - Experience with new technologies such as QuickSight and Co-Pilot. - Customer focus and ability to deliver internal and external customer service excellence. What we offer you We offer an array of diverse and inclusive benefits regardless of where you are in your career. We believe that providing our employees with the means to lead healthy balanced lives results in the best possible work performance. - Medical, dental, vision and life insurance - Retirement savings – 401(k) plan with generous company matching contributions (up to 6%), financial advisory services, potential company discretionary contribution, and a broad investment lineup - Tuition reimbursement up to $5,250/year - Business-casual environment that includes the option to wear jeans - Generous paid time off upon hire – including a paid time off program plus ten paid company holidays and three floating holidays each calendar year - Paid volunteer time — 16 hours per calendar year - Leave of absence programs – including paid parental leave, paid short- and long-term disability, and Family and Medical Leave (FMLA) - Business Resource Groups (BRGs) – BRGs facilitate inclusion and collaboration across our business internally and throughout the communities where we live, work and play. BRGs are open to all. Base Salary Range $87,400.00 - $123,400.00 The salary range above shows the typical minimum to maximum base salary range for this position in the location listed. Non-sales positions have the opportunity to participate in a bonus program. Sales positions are eligible for sales incentives, and in some instances a bonus plan, whereby total compensation may far exceed base salary depending on individual performance. Actual compensation offered may vary from posted hiring range based upon geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer. Equal opportunity employer • Drug-free workplace We are an equal opportunity employer with a commitment to diversity. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to age (40 and over), race, color, national origin, ancestry, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, religion, physical or mental disability, military or veteran status, genetic information, or any other status protected by applicable state or local law. ***For remote and hybrid positions you will be required to provide reliable high-speed internet with a wired connection as well as a place in your home to work with limited disruption. You must have reliable connectivity from an internet service provider that is fiber, cable or DSL internet. Other necessary computer equipment, will be provided. You may be required to work in the office if you do not have an adequate home work environment and the required internet connection.*** Job Posting End Date at 12:01 am on: 04-11-2026 Want the latest money news and views shaping how we live, work and play? 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About CodeRoad CodeRoad provides end-to-end software development services, helping businesses scale with ideal infrastructure solutions. From staff augmentation to dedicated IT teams and general software engineering, our nearshore technology services empower businesses to thrive in an ever-evolving digital landscape. About the Role As a Data Engineer, you’ll own the backbone of our AI systems: data pipelines, storage, and processing layers. You’ll ensure data flows reliably from multiple sources into scalable systems that power analytics and AI models. This role is critical to making AI actually work in production. Key Responsibilities - Design and implement scalable ETL pipelines across multiple data sources - Manage and optimize data workflows for relational and cloud-based systems - Work with Snowflake and Microsoft Dataverse for structured data processing - Build and maintain integrations with APIs and external services - Monitor data pipelines and ensure reliability and performance - Collaborate with AI engineers to support data needs for RAG and models Requirements - 3+ years of experience in Data Engineering - Strong experience with ETL processes and job automation - Hands-on experience with: Snowflake, Microsoft Dataverse, SQL (advanced querying) - Experience building and consuming REST APIs - Familiarity with Docker and containerized environments - Experience with Power BI (DAX) is a plus - Strong ownership mindset and ability to work autonomously - Advanced English Nice to Have - Experience with vector databases - Azure ecosystem (Blob Storage, Container Apps, Monitor) - Exposure to AI/ML data pipelines What You’ll Love - 100% Remote - Holidays off - Paid Time Off - Health insurance assistance program - Competitive USD compensation - Strong team culture and collaborative environment - Ongoing training and growth opportunities