About this role
Build reliable, high-quality datasets from raw information to power research, analytics, and AI and machine-learning development in a remote, full-time Data Engineer role.
Key Responsibilities- Design, develop, and maintain scalable ETL pipelines.
- Collect, clean, transform, and organize structured and unstructured data.
- Perform exploratory data analysis to identify trends, patterns, anomalies, and data-quality issues.
- Partner with researchers, data scientists, and engineering teams to prepare datasets for AI and machine-learning initiatives.
- Develop and maintain data models, database schemas, and data-storage solutions.
- Write and optimize SQL queries for data extraction, transformation, and analysis.
- Maintain data quality, integrity, consistency, and security across pipelines and databases.
- Automate data validation, reporting, and recurring data-processing workflows.
- Document pipelines, processes, and technical decisions, and troubleshoot pipeline failures and other data issues.
- Strong Python and SQL proficiency.
- Hands-on experience designing and maintaining ETL pipelines and conducting exploratory data analysis.
- Proficiency with Pandas and NumPy.
- Experience with relational databases, particularly PostgreSQL and MySQL.
- Strong understanding of data modeling, database schemas, and data transformation.
- Ability to work with structured and unstructured datasets while ensuring accuracy, quality, and reliability.
- Familiarity with Jupyter Notebook, VS Code, or PyCharm.
- Strong analytical, problem-solving, and communication skills.
- Exposure to AI and machine-learning workflows.
- Familiarity with scikit-learn, Hugging Face Transformers, the OpenAI API, or similar AI platforms.
- Experience preparing and managing datasets for AI or machine-learning model development.
- Experience collaborating with researchers or data scientists.
- Full-time, remote position.
- Listed annual compensation range: $140, 000 to $180, 000.
- National base-salary range: $100, 000 to $150, 000 USD annually.
- All employees are eligible for equity compensation and may receive performance-based bonuses, depending on role and applicable policies.
- Benefits include up to 100% reimbursement of health-insurance premiums, paid time off, a 401(k) plan with company match, and additional benefits for a high-performing remote workforce.
Qualified applicants will receive consideration without regard to race, color, religion, sex, including pregnancy, sexual orientation, or gender identity, or national origin.