Senior Data Engineer (AI)

Location: South Jordan, Utah, United States; in-office at least 4–5 days per week. Relocation assistance is available.

Company

hirify.global develops smart cutting machines, design apps, and materials that help people create and personalize physical products.

What you will do

• Design, build, and operate scalable batch and streaming data pipelines on AWS using Airflow/MWAA, Glue, Kafka, S3, and Redshift.
• Own the product event platform, including schema design, event taxonomy, versioning, migrations, instrumentation, and data observability.
• Build reliable data foundations for personalization and recommendation systems, including interaction, content, and project datasets.
• Partner with ML engineers on feature pipelines, batch and low-latency feature stores, training datasets, evaluation data, and model-output delivery.
• Develop dimensional and event models for BI, exploration, experimentation, and accurate business metrics; tune warehouse performance and cost.
• Set engineering standards for testing, CI/CD, documentation, code review, and on-call practices while mentoring engineers.

Requirements

• 8+ years of data engineering experience, including building and owning production pipelines at scale.
• Strong SQL and Python skills.
• Deep hands-on experience with AWS data services, including S3, Glue, Redshift, DynamoDB, Lambda, and IAM.
• Production Apache Airflow experience covering DAG design, dependency management, templating, alerting, and backfills.
• Experience with streaming and event ingestion using Kafka, Kinesis, SQS, or similar technologies, plus clickstream or product analytics data.
• Strong dimensional and event data modeling skills and an understanding of how data design affects downstream metrics.
• Experience building data quality and observability frameworks.
• Experience supporting production ML systems through feature engineering, training datasets, feature stores, or model-serving data flows.
• Ability to lead cross-functional technical work, write design documents, turn ambiguous business needs into architecture, and communicate clearly with engineers, data scientists, and business partners.

Nice to have

• Experience with recommendation systems or personalization data, including interaction logs, embeddings, candidate generation, or ranking features.
• Familiarity with SageMaker, AWS Batch, or MLOps tooling.
• Experience with analytics instrumentation or tracking-plan governance.
• Exposure to LLM or generative AI applications, vector stores, retrieval pipelines, or evaluation and feedback data.
• Experience with A/B testing platforms, experiment metric pipelines, Iceberg, Delta, Hudi, or Redshift data sharing.
• Interest in making, crafting, or creative tools.

Culture & Benefits

• Work directly on data infrastructure supporting hirify.global’s AI and personalization roadmap and products used by millions of makers.
• Own platform architecture and contribute to technical direction in a collaborative, fast-moving environment.
• Medical, dental, and vision coverage, 401(k) match, generous PTO, tuition reimbursement, and a yearly lifestyle stipend.
• Employee discounts and a creative, inclusive workplace.
• Employment is in-office at least 4–5 days per week; fully remote work is not offered.
• Visa sponsorship is not available for all visa types; candidates who currently or may later need sponsorship may not be considered.

Hiring process

• Submit a resume and cover letter and/or links to a portfolio or other social presence.
• The position is contingent on successfully completing a criminal background check; hirify.global participates in E-Verify.