Job Description

Data Engineer,AWS &AI/ML Enablement

College Board - Technology

Location:This is a fully remote role that requires working EST hours Candidates who live near CB offices have theoptionof being fully remote or hybrid (Tuesday and Wednesday in office).

Type: This is a full-time position

About the Team

Aquifer is a small, highly collaborative team that implements data and analytics services powering higher‑education recruitment and student engagement forCollegeBoard’sBigFutureDivision. We experiment thoughtfully and ship durable, secure data products that personalize outreach and help partners execute strategic enrollment plans.

Our team has a mix of engineers and architects that blendsexpertisein data engineering, analytics, and product strategy to deliver scalable solutions that transform how students connect with colleges. We value curiosity, reliability, and clear communication, and we work closely across disciplines to ensure every product is impactful, maintainable, anduser-focused

About the Opportunity

As aData Engineer, AWS & AI/MLEnablement, you will design, build, andoperatescalable, secure, and high-quality data platforms that power analytics, reporting, and emerging AI/ML use cases. This role is primarily a Data Engineering position, with a strong focus on cloud-native data pipelines, analytics infrastructure, and software engineering best practices, while also partnering closely with Data Science and AI teams to enable ML-ready datasets, feature pipelines, and model production workflows.

You will work in an AWS-native, microservices environment, collaborating with Product Owners, Architects, Software Engineers, and Data Scientists to transform raw data into trusted, actionable insights and AI-enabled capabilities thatdrive real impact for students and higheredpartners.

In this role, you will:

Data Engineering & Platform Development(60%)

• Design, build, andmaintainscalable batch and streaming data pipelinesusing AWS services such as S3, Glue, Lambda, Kinesis, Step Functions, Redshift, Athena,andDynamoDB

• Develop andoptimizedata models and complex SQL queriesto support analytics, reporting, and downstream consumers.

• Build and operate serverless ETL frameworksfor automated ingestion, transformation, and loading of structured and semi-structured data.

• Implement cloud-first, microservices-based architectures, ensuring high availability, performance, and cost efficiency.

• Ensure data quality, reliability, and observabilitythrough automated testing, validation, monitoring, and alerting.

• Integrate BI and analyticstoolsuch as QuickSightto enable real-time and self-service analytics.

• Contribute to CI/CD pipelines, infrastructure automation, and secure development practices to deliver production-grade data systems.

AI/ML & Advanced Analytics Enablement(25%)

• Partner with Data Science and AI teams to productionizeML-ready datasets, including training, evaluation, and inference data pipelines.

• Build andmaintainfeature pipelines and embedding workflowsthat support ML models and experimentation.

• Support MLOps/LLMOpsworkflows, including dataset versioning, experiment tracking, and capturing inference data for continuous improvement.

• Enable AIusecases such as recommendation systems, personalization, and retrieval-augmented generation (RAG)through robust data foundations.

• Apply a thoughtful approach to AIfeasibility, fairness, and effectiveness, especially when working with sensitive or regulated data.

Collaboration, Quality & Mentorship(15%)

• Participate actively in Agile/Scrum ceremonies, design reviews, and peer code reviews.

• Collaborate cross-functionallywith Product, UX, Infrastructure, and Security teams.

• Mentor junior engineers by providing guidance on data architecture, coding standards, and best practices.

• Produce clear documentation, runbooks, and technical guidesto support long-term platform sustainability.

About You

You have:

• 4+ years ofexperiencein Data Engineering or Software Engineering in a production environmentusingAWS services such as S3, Glue, Lambda, Athena,DynamoDB, Step Functions, Redshift and Kinesis

• Strongproficiencyin Pythonand SQL, including performance tuning for large datasets.

• 1+ years of hands-on experience designing, building, and deploying production-grade ML and generative AI solutions using AWS SageMaker and Amazon Bedrock

• Experience designing and operating ETL/ELT pipelines, data models, and analytics-ready datasets.

• Solid understanding of cloud computing, DevOps, CI/CD, andmicroservicesarchitectures

• Strong security and privacy mindset, especially when working with sensitive data.

• Demonstrated interest in continuous learning, including keeping up with evolving data engineering and AI/ML best practices.

• Excellent communication skills with the ability to explain technical concepts to both technical and non-technical stakeholders.

Preferred / Nice to Have

• Experience with event-drivenarchitecturesand real-time analytics.

• Front-end or API experience (e.g., React, Node.js) is a plus.

• Exposure to observability andmonitoringfordata pipelines, including freshness, volume, and performance metrics.

• Experience collaborating with product managers and analytics partnersto translate business requirements into well-designed data solutions.

All roles at College Board require:

• A passion for expanding educational and career opportunitiesand mission-driven work

• Authorization to work in the United States for any employer

• Curiosity and enthusiasm for emerging technologies, with a willingness to experiment with and adopt new AI-driven solutions anda comfortlearning and applying new digital tools independently and proactively. 

• Clear and concise communication skills, written and verbal

• A learner's mindset and a commitment to growth:welcoming diverse perspectives, giving and receivingtimely, respectful feedback, and continuously improving through iterative learning and user input.

• A drive for impact and excellence:solving complex problems, making data-informed decisions, prioritizing what matters most, and continuously improving through learning, user input, and external benchmarking.

• A collaborative and empathetic approach:working across differences, fostering trust, and contributing to a culture of shared success.

About Our Process 

• Application review will beginimmediatelyand will continue until the position is filled.This role is expected to accept applications for a minimum of 5 business days.

• Whilethehiring processmay vary, it generallyincludes:resume and application submission, recruiter phone/video screen, hiring manager interview, performance exercise such as live coding, a panel interview, a conversation with leadership and reference checks

What We Offer

AtCollegeBoard, we offer more than just a paycheck—we provide a meaningful career, a supportive team, and a comprehensive package designed to help you thrive.We’rea self-sustaining nonprofit that believes in fair and competitive compensation, grounded in your qualifications, experience, impact, and the market.

A Thoughtful Approach to Compensation

• The hiring range for this role is $140K–$151K.

• Your exact salary will depend on your location, experience, and how your background compares to others in similar roles at the College Board.

• We aim to make our best offerupfront—rootedin fairness, transparency, and market data.

• We adjust salaries by location to ensure fairness, no matter where you live.You’llhave open, transparent conversations about compensation, benefits, and whatit’slike to work atCollegeBoard throughout your hiring process. Check out ourcareerspage for more.

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