Assist in building and maintaining data ingestion and transformation pipelines from internal and external data sources.
Learn to design data models for SQL, NoSQL, and modern data stores (e.g., vector or graph databases).
Support efforts to integrate and test ML models for tasks like entity resolution, semantic enrichment, and similarity search.
Work with senior engineers to optimize data workflows, monitor data quality, and improve pipeline performance.
Contribute to documentation, testing, and experimentation around new data tools and techniques.
Collaborate with data scientists and software engineers to deliver reliable, scalable data solutions.

Requirements

2 years of professional experience (or strong academic / open-source / project experience) in data engineering, ML engineering, or software development.
Solid programming fundamentals, ideally in Python.
Basic understanding of data modeling, ETL concepts, and working with databases (SQL or NoSQL).
Exposure to cloud environments (AWS, GCP, or Azure) through coursework, internships, or personal projects.
Eagerness to learn and apply best practices in data engineering and MLOps.
Passionate about learning and experimenting with new data technologies.
Strong analytical thinking and problem-solving skills.
Effective communicator - comfortable asking questions and collaborating with peers.
Self-motivated, curious, and eager to take ownership of projects.
Excited to grow within a team that values mentorship, collaboration, and continuous improvement.

Benefits

Comprehensive Benefits: We provide a robust benefits package for full-time, permanent employees, including health, dental, and vision coverage, retirement plans with company match, paid time off, parental leave, and an annual education & training stipend (equivalent to $1,000 in local currency).
Flexible Hybrid Working Environment: Our offices are designed to support both collaboration and flexibility. Enjoy weekly lunches, quality coffee, and regular social events. Many locations also feature parent rooms, on-site gyms, comfortable lounges, and adaptable workstations to support your comfort and productivity.
Wellness: We care about your well-being. Team members have access to wellness workshops and events, as well as a complimentary Headspace subscription to help you stay focused, grounded, and energized.
Employee Resource Groups: Belonging is an important part of doing your best work. Our ERGs provide an inclusive space, support and community for employees of diverse backgrounds and allies.

Applicant Tracking System Keywords

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

Hard Skills & Tools

data ingestiondata transformationdata modelingSQLNoSQLETLML modelsdata workflowsdata qualityMLOps

Soft Skills

analytical thinkingproblem-solvingeffective communicationself-motivatedcuriosityownershipcollaborationmentorshipcontinuous improvement