Data Engineer | $4-$5/hr Remote
Overview
A Data Engineer is needed to build scalable data pipelines and turn raw data into reliable datasets for research, analytics, and AI/ML efforts. This remote, full-time role emphasizes handling both structured and unstructured data, performing deeper data exploration, and collaborating with researchers and engineers. You’ll work with a modern tech stack to support data modeling, quality, and automation that powers AI projects and analytical insights. The position stands out with a remote-first setup, exposure to AI tools, and a direct path to impact across data-driven initiatives.
What You'll Do10
- 1Design and maintain scalable ETL workflows that move and transform data efficiently
- 2Ingest and clean both structured and unstructured data to create usable datasets
- 3Perform exploratory data analysis to uncover trends, anomalies, and data quality issues
- 4Partner with researchers, data scientists, and engineers to prepare data for AI and ML models
- 5Develop and refine data models and database schemas for robust storage and retrieval
- 6Write optimized SQL queries for extraction, transformation, and analysis
- 7Guard data quality, integrity, and security across pipelines and storage systems
- 8Automate validation, reporting, and recurring data processing tasks
- 9Document pipelines, processes, and key technical decisions
- 10Troubleshoot data pipeline failures and resolve data-related problems
Requirements9
- 1Strong proficiency in Python and SQL
- 2Hands-on experience building and maintaining ETL pipelines
- 3Experience with Pandas and NumPy for data processing
- 4Familiarity with relational databases such as PostgreSQL and MySQL
- 5Understanding of data modeling, schemas, and transformations
- 6Comfort working with both structured and unstructured data
- 7Ability to ensure data accuracy and reliability across systems
- 8Experience using development environments like Jupyter Notebook, VS Code, or PyCharm
- 9Strong analytical, problem-solving, and communication skills
Who Should Apply
Ideal candidates are analytical problem-solvers who enjoy turning messy data into reliable, scalable datasets. You should be comfortable collaborating with researchers and engineers, have hands-on experience with ETL and data modeling, and be eager to apply AI and machine learning concepts to real-world datasets. A remote-friendly mindset and strong communication will help you thrive in a distributed team.
Salary Insight
Compensation ranges from $100,000 to $150,000 USD annually; equity and performance-based bonuses may be offered depending on role and company policy.
Location
Required Skills
Application Tip
Prepare a brief portfolio snippet showing a pipeline you built end-to-end, including data source handling, transformations, and a sample SQL query you authored to demonstrate your impact.
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