We are seeking a highly skilled ETL Developer with deep expertise in Python and SQL to join our team.
This is a full-time, permanent remote position focused on designing and implementing robust ETL pipelines and data solutions.
_ Important : The interview process is highly technical and will focus heavily on Python and SQL. You will be required to write actual, working code during the interview — no pseudocode, no AI tools. Use of AI assistance during interviews is strictly prohibited and monitored. If you are not confident in your Python and SQL skills, please do not apply._
Key Responsibilities
- Design, develop, and maintain ETL pipelines using Python.
- Build Python scripts for data extraction, transformation, and loading tasks.
- Write clean, readable, and well-documented code.
- Write complex SQL queries (joins, aggregations, filters, subqueries, etc.).
- Work with various SQL and NoSQL databases (PostgreSQL, MySQL, SQL Server, MongoDB, etc.).
- Deploy applications using Docker (experience with Kubernetes is a plus).
- Work with Linux environments and write shell scripts to automate tasks.
- Use Git for version control and collaborate on shared codebases.
- Collaborate closely with other ETL developers, data architects, and product owners.
- Maintain and continuously improve an existing codebase.
- Engage in research and development to design and test new data pipelines.
Required Skills & Experience
- Python (2+ years) – strong experience working with various data types and data manipulation libraries.
- SQL (2+ years) – ability to write, debug, and optimize complex SQL queries across multiple databases.
- Experience with multiple database systems, including both relational and non-relational.
- Linux/Shell scripting (2+ years) – able to automate and troubleshoot command-line workflows.
- Git (1+ years) – experience collaborating in version-controlled projects.
- ETL process knowledge – parsing, filtering, transforming, and loading data efficiently.
- Understanding of Docker and basic deployment practices.
- Strong communication and documentation skills.
- Organized, autonomous, and detail-oriented.
- Enjoy exploring and developing new pipeline architectures and technologies.
Bonus Skills
- Experience with Snowflake or Databricks.
- Familiarity with Kubernetes or other orchestration tools.
- Exposure to data visualization or reporting tools.
- Experience in data quality validation and pipeline monitoring.
Application Questions
To apply, please be aware of:
- Python challenge: Interview questions are live coding exercises that must be solved in real time.
- SQL experience: Candidates will be expected to write SQL statements during the interview to solve real data problems.
- Portfolio: Share a public GitHub or GitLab project that best reflects your Python skills. If your project is private, describe it in detail (tech stack, challenges solved, and key features).
Job Types: Full-time, Permanent
Pay: $57,070.09-$118,520.33 per year
Benefits:
- Dental care
- Disability insurance
- Extended health care
- Life insurance
- Paid time off
- Vision care
- Work from home
Application question(s):
- Important: The interview process is highly technical and will focus heavily on Python, and SQL. You will be expected to demonstrate advanced understanding of these technologies through live coding and scenario-based questions. If you are not confident in your skills in these three areas, please do not apply.
Work Location: Remote
