Job description

We're hiring a Senior Data Engineer to shape the data foundation behind Cricut's product analytics, personalization, and AI initiatives. You'll own and evolve our event data platform, from app instrumentation through streaming and batch ingestion to the warehouse. You'll also build the pipelines and feature infrastructure that feed our recommendation systems and machine learning models. This role sits where data engineering meets ML. You'll work closely with product engineering, data science, ML engineering, analytics, and experimentation teams. Together you'll make sure our data is reliable, well-modeled, and ready for both decision-making and production models. What You'll Do • Design, build, and operate scalable batch and streaming pipelines on AWS using Airflow (MWAA), Glue, Kafka, S3, and Redshift • Lead the evolution of our product event platform, including schema design, event taxonomy, versioning, and migrations to next-generation event architecture • Build event data quality and observability: schema validation, instrumentation testing, anomaly detection, freshness and completeness monitoring, and lineage across pipelines • Handle late-arriving and out-of-order data correctly, using lookback reprocessing and idempotent, incremental loads that keep business metrics accurate • Build and maintain the data foundations for personalization and recommendation systems, including the interaction, content, and project datasets used for model training and inference • Partner with ML engineers to build feature pipelines and a batch plus low-latency feature store (for example, Redshift or S3 to DynamoDB) for real-time serving • Support ML workflows on AWS Batch and SageMaker, including training data generation, offline evaluation datasets, and delivery of model outputs to downstream APIs • Instrument and model data for new AI-powered product experiences, including interaction, generation, and feedback events that close the loop on model improvement • Develop well-designed fact and dimension models that power BI, ad-hoc exploration, and experimentation platforms • Tune warehouse performance and cost through distribution and sort strategies, workload management, and efficient unload and serving patterns • Set engineering standards for code review, testing, CI/CD, documentation, and on-call practices, and mentor other engineers • 8+ years of experience in data engineering, including building and owning production pipelines at scale • Strong SQL and Python skills; experience with PySpark or Spark is a plus • Deep hands-on experience with AWS data services (S3, Glue, Redshift, DynamoDB, Lambda, IAM) • Production experience with Apache Airflow, including DAG design, dependency management, templating, alerting, and backfills • Experience with streaming and event ingestion (Kafka, Kinesis, SQS, or similar) and clickstream or product analytics data • Strong data modeling skills (dimensional and event modeling) and a clear sense of how data design affects downstream metrics • A track record of building data quality and observability frameworks, not just pipelines • Experience supporting ML systems in production: feature engineering, training datasets, feature stores, or model-serving data flows • Ability to lead cross-functional technical work, write clear design documents, and turn ambiguous business needs into sound architecture • Clear communication with engineers, data scientists, and business partners alike Nice to Have • Experience with recommendation systems or personalization data (interaction logs, embeddings, candidate generation, ranking features) • Familiarity with SageMaker, AWS Batch, or MLOps tooling (model registries, experiment tracking, pipeline orchestration) • Experience with analytics instrumentation tooling or tracking-plan governance • Exposure to LLM or generative AI applications, such as vector stores, retrieval pipelines, or evaluation and feedback data • Experience with A/B testing platforms and experiment metric pipelines • Experience with data lake table formats (Iceberg, Delta, Hudi) or Redshift data sharing • A passion for making, crafting, or creative tools Why You'll Love It Here • Your work directly shapes how millions of makers discover, design, and create • You'll help build the data backbone for Cricut's AI and personalization roadmap • You'll have real ownership of platform architecture and a strong voice in technical direction • You'll join a collaborative team that values craft, curiosity, and impact We’ve Got You Covered At Cricut, we take care of our people. Enjoy competitive Medical, Dental, and Vision coverage, a 401(k) match, generous PTO, tuition reimbursement, and a yearly lifestyle stipend to support your wellness and passions. You’ll also receive exclusive employee discounts—and best of all, you’ll be surrounded by some of the most talented, creative, and curious minds out there. A Quick Note Before You Apply… Cricut is in an exciting chapter of transformation. We’re evolving fast—refining our strategy, growing our teams, and raising the bar across everything we do. This is an incredible opportunity for the right kind of person—but it’s not for everyone. We’re looking for A-players—people who thrive in dynamic environments, turn challenges into momentum, and consistently deliver their best work. If that sounds like you, read on. Here’s what makes someone a great fit for this role (and for this moment at Cricut): • You move with urgency. You don’t wait for perfect clarity to act—you start, learn, and adjust. • You set high standards. You take ownership, deliver quality, and hold yourself accountable. • You stay focused when things move fast. You prioritize what matters most and tune out the noise. • You collaborate like a pro. You elevate others, communicate clearly, and bring a low-ego, high-output energy. • You embrace AI as part of your toolkit. From idea exploration to data analysis and creative problem-solving, you leverage AI to accelerate innovation and amplify impact—because technology and creativity go hand-in-hand here. One More Thing (It’s a Big One) This role is in-office at least 4–5 days per week. We believe real collaboration, innovation, and culture are built face-to-face. If you’re energized by working alongside smart, kind, creative people—and love those hallway conversations that spark the next great idea—you’ll feel right at home. If you’re looking for a fully remote role, this may not be the right fit. But if you’re excited by challenge, purpose, and building something better—let’s make something amazing together. Relocation Statement: • This position is eligible for relocation assistance. What to Do Next: Please attach your resume, cover letter and/or include links to your portfolio or other social presence. If you want to show your super powers in other ways – include that information too. You can be sure that Cricut® is an employer who values individuality, equality and diversity, so tell us what you’re all about. If you are a Maker or a DIY enthusiast, whether you think you are a good one or not, we would love to hear about it when you send us your information. Cricut® is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. This position is contingent on successfully completing a Criminal Background Check upon hire. Cricut participates in E-Verify.

Requirements

Must-haves

Design, build, and operate scalable batch and streaming pipelines on AWS using Airflow (MWAA), Glue, Kafka, S3, and Redshift
Lead the evolution of our product event platform, including schema design, event taxonomy, versioning, and migrations to next-generation event architecture
Build event data quality and observability: schema validation, instrumentation testing, anomaly detection, freshness and completeness monitoring, and lineage across pipelines
Handle late-arriving and out-of-order data correctly, using lookback reprocessing and idempotent, incremental loads that keep business metrics accurate
Build and maintain the data foundations for personalization and recommendation systems, including the interaction, content, and project datasets used for model training and inference
Partner with ML engineers to build feature pipelines and a batch plus low-latency feature store (for example, Redshift or S3 to DynamoDB) for real-time serving
Support ML workflows on AWS Batch and SageMaker, including training data generation, offline evaluation datasets, and delivery of model outputs to downstream APIs
Instrument and model data for new AI-powered product experiences, including interaction, generation, and feedback events that close the loop on model improvement
Develop well-designed fact and dimension models that power BI, ad-hoc exploration, and experimentation platforms
Tune warehouse performance and cost through distribution and sort strategies, workload management, and efficient unload and serving patterns
Set engineering standards for code review, testing, CI/CD, documentation, and on-call practices, and mentor other engineers
8+ years of experience in data engineering, including building and owning production pipelines at scale
Deep hands-on experience with AWS data services (S3, Glue, Redshift, DynamoDB, Lambda, IAM)
Production experience with Apache Airflow, including DAG design, dependency management, templating, alerting, and backfills
Experience with streaming and event ingestion (Kafka, Kinesis, SQS, or similar) and clickstream or product analytics data
Strong data modeling skills (dimensional and event modeling) and a clear sense of how data design affects downstream metrics

Nice-to-haves

Strong SQL and Python skills; experience with PySpark or Spark is a plus
Experience with recommendation systems or personalization data (interaction logs, embeddings, candidate generation, ranking features)
Familiarity with SageMaker, AWS Batch, or MLOps tooling (model registries, experiment tracking, pipeline orchestration)
Experience with analytics instrumentation tooling or tracking-plan governance
Exposure to LLM or generative AI applications, such as vector stores, retrieval pipelines, or evaluation and feedback data
Experience with A/B testing platforms and experiment metric pipelines
Experience with data lake table formats (Iceberg, Delta, Hudi) or Redshift data sharing
A passion for making, crafting, or creative tools

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningmlawsci/cdsqlpythonllmgo

Platform: smartrecruiters
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Pto

Wellness