Design, build, and maintain both research and production data pipelines spanning edge devices, cloud services, and centralized data platforms.
Own the full data lifecycle: collection, ingestion, processing, obfuscation, versioning, access, retention, and retirement.
Develop resilient ingestion pipelines capable of handling variable connectivity and device heterogeneity.
Support secure data transfer from the field to cloud storage systems.
Collaborate with field ops to enhance data coverage, observability, and operational robustness.
Implement privacy‑preserving transformations and obfuscation pipelines.
Build automated cleaning/validation steps to remove duplicates, detect corruption, and validate metadata.
Establish data lineage, retention policies, and access controls ensuring compliance and traceability.
Provide scalable data services for model training, evaluation, and research experimentation.
Support continuous data refresh and retraining workflows.
Integrate with data labeling services and annotation workflows.
Enable efficient access patterns for large‑scale ML workloads.
Build and optimize pipelines using AWS services (S3, EC2, SageMaker, Lambda, Glue, Step Functions).

Requirements

Bachelor’s or Master’s degree in Computer Science, Data Engineering, Software Engineering, or related field.
2-3+ years of experience building production data pipelines and data platforms that support AI/ML models.
Strong proficiency in Python, C++ and distributed data processing frameworks.
Hands‑on experience with AWS services including S3, EC2, SageMaker, and Glue.
Experience designing data systems that support large‑scale ML training and experimentation.
Knowledge of data governance, access control, and lifecycle management.
Experience collaborating with ML, data science, operations, and cloud teams.

Benefits

Equity as part of your total compensation package
Medical, dental, and vision insurance
Health Savings Account (HSA)
A 401(k) plan (and 2% company match)
Flexible Paid Time Off (PTO)- take the time you need to recharge, with manager approval and business needs in mind
Quarterly stipend for perks and benefits that matter most to you
Tuition reimbursement to support your ongoing learning and development
Subscription to Calm

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonC++data pipelinesdata processing frameworksdata governancedata lifecycle managementdata validationdata obfuscationmachine learningdata cleaning

Soft Skills

collaborationproblem-solvingcommunicationorganizational skillsadaptability