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When you join Sallie, you become a champion for all students.

Sallie’s Education Services team is a diverse group of growth-obsessed entrepreneurs, data analysts, engineers, and developers with a passion for imagining and building scalable businesses for students and families on their unique journey to-through and immediately after higher education. We’re on a mission to revolutionize how students and their families plan, pay and complete this journey with confidence. Join a team of seekers, challengers and creative thinkers to change the way students plan for their future for the better.

_A little bit about us:_

Would you like to work in an exciting fast-paced start-up place with the backing of a household name company like Sallie Mae to help millions of people meet their educational needs every day? Together, we’re connected by the same drive—to be a champion for all students and help them make smart decisions with confidence. Do more than join something—change something…for students, for future generations, and for the future of education.

Our new venture, Sallie **SM** , is looking for people like you to be the founding members who will define the future of education services for students and their families in the US. As the first education solutions company, we’re creating products and experiences that help students when they need it most. We’re connecting students to free money for school, providing tools and resources to plan for college, sharing inside advice on campus life, and so much more. Visit https://www.sallie.com/about to learn more about us.

What You'll Contribute

We are seeking a Senior Data Engineer (Sr. DE) with a proven track record of designing and building complex, scalable data products that drive business outcomes and support organizational growth. This is a high-impact, hands-on role responsible for developing robust data infrastructure, analytics solutions, and customer-facing prototypes that power operational insights and strategic decision-making. As a Sr. DE, you will collaborate closely with product managers, solution architects, software engineers, data scientists, and external partners to deliver data-driven technology solutions. You will lead the design and implementation of modern data architectures, simplify legacy systems, and develop scalable pipelines and models to support the evolving needs of our fintech platform. You will be instrumental in shaping our data ecosystem, applying cutting-edge tools in machine learning and AI to accelerate development and innovation. With ownership over the full development lifecycle—from architecture to deployment—you will play a critical role in solving high-scale engineering challenges and ensuring the long-term success of our data products and services.

What You'll Do

+ **Data Warehousing and Architecture (Snowflake):** Lead the end-to-end architecture, implementation, and ongoing management of the enterprise data warehouse using Snowflake. Design scalable and secure data models that integrate disparate data sources while optimizing for performance, cost-efficiency, and data quality. Ensure high levels of data integrity, consistency, and availability to support accurate reporting and advanced analytics.

+ **ETL/ELT Pipeline Development and Automation:** Design, build, and maintain robust ETL/ELT pipelines using Snowflake, dbt, and other modern data integration tools. Automate and optimize data ingestion and transformation processes to support real-time and batch data needs. Drive continuous improvement of data workflows, ensuring reliability, scalability, and low-latency access to high-quality data.

+ **Cross-Functional Data Enablement:** Collaborate with cross-functional stakeholders—including marketing, product, finance, compliance, operations, and engineering—to gather data requirements and translate them into scalable technical solutions. Serve as a strategic partner and trusted advisor on data architecture, tooling, and infrastructure capabilities.

+ **Data Governance, Quality, and Security:** Champion data governance initiatives by implementing and enforcing standards around data quality, cataloging, lineage, and stewardship. Ensure all data practices align with industry regulations and internal policies, particularly around data privacy (e.g., GDPR, CCPA) and security. Establish monitoring and alerting systems to proactively identify and resolve data issues.

+ **Support for Advanced Analytics and Machine Learning:** Partner with data science and analytics teams to prepare, clean, and structure datasets for advanced modeling, experimentation, and AI/ML initiatives. Build pipelines and feature stores that enable reproducibility, version control, and scalable deployment of machine learning models into production environments.

+ **Innovation and Best Practices:** Stay ahead of emerging technologies and industry trends in data engineering, cloud computing, and analytics. Evaluate and recommend new tools, frameworks, and methodologies to improve the efficiency, scalability, and robustness of the data platform. Mentor junior engineers and help establish a culture of engineering excellence and data-driven decision-making.

_The above information is intended to describe the general nature and level of work performed by employees assigned to this job; it is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees in this role._

What you have

Minimum education, skills and experience required.

+ BS in Data Science, Computer Science, Software Engineering, Information Technology, Business Analytics, or a related technical field; or equivalent practical experience in data engineering roles.

+ 7+ years of professional experience in data engineering, including hands-on design, development, and maintenance of scalable data pipelines, data warehousing solutions, and ETL/ELT processes.

+ Expert-level experience with Snowflake, including performance tuning, architecture best practices, data ingestion techniques, security configuration, and optimization of compute and storage resources.

+ Solid understanding of data modeling techniques (e.g., star/snowflake schemas, normalization/denormalization), and experience implementing models for both transactional and analytical workloads.

+ Demonstrated experience with distributed, multi-tiered systems and modern data architecture practices, including batch and real-time data processing frameworks.

+ Experience with modern data visualization tools and platforms (e.g., Tableau, Power BI, Looker) to support data democratization and decision-making across the organization.

+ Working knowledge of data governance principles, including data quality, cataloging, lineage, and compliance with data security and privacy standards (e.g., SOC 2, GDPR, CCPA).

+ Proven ability to collaborate cross-functionally with engineering, product, analytics, and business stakeholders to translate data needs into scalable solutions.

+ Exceptional problem-solving and analytical skills, with a deep understanding of data structures, algorithms, and a data-driven approach to identifying opportunities and solving complex business challenges.

+ Proven track record of delivering high-quality solutions in a fast-paced, evolving environment with competing priorities and tight deadlines.

+ Excellent communication skills, both written and verbal, with the ability to present technical concepts clearly to technical and non-technical stakeholders.

Preferred education, skills, and experience.

Hands-on experience with cloud data ecosystems such as AWS (e.g., Redshift, Glue, S3, Lambda), GCP (e.g., BigQuery, Dataflow), or Azure (e.g., Synapse, Data Factory).

Familiarity with machine learning and artificial intelligence pipelines, and the integration of model outputs into data workflows and applications.

Experience with modern data orchestration tools (e.g., Airflow, dbt, Prefect) and CI/CD pipelines for data infrastructure.

Experience with non-relational databases and data stores, such as MongoDB, Redis, Cassandra, graph databases (e.g., Neo4j), or object storage systems.

Proficiency with statistical analysis tools and programming languages, including Python, R, MATLAB, SAS, or Stata.

Experience working in a fintech or regulated industry environment, with knowledge of industry-specific compliance and risk considerations.

Exposure to customer engagement platforms or marketing technologies, such as HubSpot, Segment, or Salesforce Marketing Cloud, especially for data integration or reporting use cases.

The Americans with Disabilities Act

_The Americans with Disabilities Act of 1990 (ADA) prohibits discrimination by employers, in compensation and employment opportunities, against qualified individuals with disabilities who, with or without reasonable accommodation, can perform the “essential functions” of a job. A function may be essential for any of several reasons, including: the job exists to perform that function, the employee holding the job was hired for his/her expertise in performing the function, or only a limited number of employees are available to perform that function._

Feeling your best helps you do your best:

Our benefits take care of the whole you—so you can build your work around your life (not the other way around!).

+ Competitive base salaries

+ Bonus incentives

+ Generous PTO, Floating Holidays and 12 Federal Holidays observed

+ Support for financial-well-being and retirement 401k with employer match

+ Comprehensive medical, dental, vision, hospital indemnity, critical illness, pet insurance and more

+ Employer paid short-term/long-term disability and basic life insurance

+ Flexible hybrid working arrangements.

+ Paid parental leave and adoption reimbursement programs

+ Free access to on-site staffed fitness centers (in Delaware) and gym subsidy (for locations outside Delaware)

+ Confidential counseling support (EAP), Health Advocacy services and Wellness program with financial incentives

+ Tuition Reimbursement and Family Scholarship Programs

+ Career development and training opportunities

Not the right fit? Let us know you're interested in a future opportunity by clicking _Introduce Yourself_ in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

Sallie Mae is proud to be an equal opportunity (EEO) employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, sexual orientation, national origin, age, genetic information, gender identity, disability, Veteran status or any other characteristic protected by federal, state or local law. Click here (https://salliemae.com/legal/pay-transparency-policy/)** **to view the U.S. Pay Transparency Policy,** **here (https://mandatoryview.com/?LicenceId=b723c601-1179-462b-a551-71dec216fdbf&ProductType=IntranetLicense&SubType=PG)** **for federal job applicant notices, and** **here (https://www.salliemae.com/content/dam/slm/writtencontent/Policies/CA\_Privacy\_Notice\_2023.pdf)** **to view the California Employee Privacy Notice.

Reasonable accommodations are available for applicants with disabilities in all phases of the application and employment process. To request an accommodation please call (855) 756-2007 and choose option 9. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

Sallie Mae is proud to be an equal opportunity (EEO) employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, sexual orientation, national origin, age, genetic information, gender identity, disability, Veteran status or any other characteristic protected by federal, state or local law. If you'd like more information about your EEO rights as an applicant, please click https://https/www.eeoc.gov/employees-job-applicants. https://https/www.dol.gov/sites/dolgov/files/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf. Click https://https/www.salliemae.com/legal/pay-transparency-policy/ to view the U.S. Pay Transparency Policy.