Job Title: Data Engineer

Job Type: Full-time

Location: Remote

The Role

We are looking for a skilled Data Engineer with strong analytical thinking and experience building scalable data pipelines, performing exploratory data analysis, and working with both structured and unstructured data. In this role, you will help transform raw information into reliable, high-quality datasets that support research, analytics, and AI/ML model development. Exposure to machine-learning tools and AI technologies is highly valuable.

Key Responsibilities

1. Design, develop, and maintain scalable ETL pipelines.
2. Collect, clean, transform, and organize structured and unstructured data.
3. Conduct exploratory data analysis to identify trends, patterns, anomalies, and data-quality issues.
4. Collaborate with researchers, data scientists, and engineering teams to prepare datasets for AI and machine-learning initiatives.
5. Develop and maintain data models, database schemas, and data-storage solutions.
6. Write and optimize SQL queries for data extraction, transformation, and analysis.
7. Ensure data quality, integrity, consistency, and security across pipelines and databases.
8. Automate data validation, reporting, and recurring data processing workflows.
9. Document data pipelines, processes, and technical decisions.
10. Troubleshoot pipeline failures and resolve data-related issues.

Required Skills and Qualifications

1. Strong proficiency in Python and SQL.
2. Hands-on experience designing and maintaining ETL pipelines.
3. Experience conducting exploratory data analysis.
4. Proficiency with Python data-processing libraries such as Pandas and NumPy.
5. Experience working with relational databases, particularly PostgreSQL and MySQL.
6. Strong understanding of data modeling, database schemas, and data transformation.
7. Ability to work with both structured and unstructured datasets.
8. Experience ensuring data accuracy, quality, and reliability.
9. Familiarity with development environments such as Jupyter Notebook, VS Code, or PyCharm.
10. Strong analytical, problem-solving, and communication skills.

Nice to Have

1. Exposure to AI and machine-learning workflows.
2. Familiarity with tools and libraries such as scikit-learn.
3. Experience working with Hugging Face Transformers.
4. Familiarity with the OpenAI API or similar AI platforms.
5. Experience preparing and managing datasets used for AI/ML model development.
6. Previous experience collaborating with researchers or data scientists.

Compensation & Benefits Notice

The national pay range for this full-time position is base salary of $100,000 –$150,000 USD. All employees are eligible for equity compensation, and employees may also receive performance-based bonuses, dependent on role and subject to company policies. micro1 provides a comprehensive benefits package, including up to 100% reimbursement for health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional benefits designed to support a high-performing, remote-first workforce.

micro1 is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to [email protected].

Our hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.

Disclaimer

The information contained in this job posting, including but not limited to role responsibilities, qualifications, compensation, and benefits, is provided for informational purposes only and does not constitute a binding offer of employment. micro1 reserves the right to amend, modify, or withdraw any portion of this posting at its sole discretion and without prior notice. All employment decisions are made in accordance with applicable laws and regulations.