AI Data Engineer 3

job summary:
Join an innovative, culture-first team of engineers, designers, and researchers focused on building the future of intelligent client products, with a primary focus on M365 Enterprise Copilot. This role centers on designing and maintaining scalable backend systems, data pipelines, and synthetic data generation platforms that enable rapid AI experimentation, model tuning, and evaluation.

 
location: Telecommute
job type: Contract
salary: $67.85 - 77.85 per hour
work hours: 8am to 5pm
education: Bachelors

responsibilities:

• Design and deploy reliable synthetic data generation workflows and scalable data pipelines.
• Architect efficient data models, storage solutions, and retrieval mechanisms for large-scale datasets.
• Create automated validation frameworks and quantitative checks to profile system performance and maintain high data quality.
• Collaborate closely with cross-functional partners (design, product, research) to translate evolving requirements into robust backend features.

qualifications:
5+ years of software or data engineering experience using languages like Python, Spring Boot, or .NET.

Extensive experience building, scaling, and operating cloud-based data pipelines and ETL workflows.

Practical experience working with LLMs, AI APIs, and designing output evaluation or quality frameworks.

Solid understanding of distributed systems, orchestration, and large-scale data storage/retrieval patterns.

Willingness to maintain core overlapping hours with US Pacific Time.

PREFERRED QUALIFICATIONS

Hands-on experience with Python-based data engineering tools, Apache Spark, or Apache Kafka.

Proven track record of developing automated testing and data quality profiling suites.

Strong problem-solving skills and comfort working independently in established codebases.

skills:
.NET,Apache Kafka,Apache Spark,AI,automated test suites,backend,large data,large-scale data,cloud-based,cloud engineering,concurrency,CI/CD,synthetic data generation,data generation,data lakes,data pipelines,data pipeline,data validation,deployment automation,distributed data processing,distributed processing,streaming architectures,ETL,indexing,data engineering,LLM,LLM APIs,Copilot,model evaluation,NoSQL,performance tuning,prompt engineering,Python,rapid prototyping,Spring Boot,system building,workflow orchestration,curious,resilient,troubleshooting skills,self-driven,collaborative,trustworthy,automated,data models,data quality,experiments,failure modes,intelligent systems,AI systems,modeling,production systems,software engineering fundamentals,quantitative analysis,quantitative analytical,reproducible,researchers,scalability,quality validation,workflows,clear documentation

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact View email address on randstadusa.com.


Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.