About the role
As a Data Engineer, you will design and build robust data pipelines that support advanced analytics and machine learning applications in the fintech industry. This role is perfect for someone who thrives on transforming raw data into actionable insights. You will be part of a dynamic team that values innovation and problem-solving.
Your day-to-day responsibilities will include collaborating with data scientists to optimize data flow, ensuring data quality, and implementing ETL processes. This contract position allows for remote work, giving you the freedom to work from anywhere while contributing to exciting fintech projects.
What you'll do
- Design and implement data pipelines.
- Collaborate with data scientists for analytics.
- Ensure data integrity and quality.
- Optimize ETL processes.
What you'll need
- Bachelor's degree in Computer Science or related field.
- 3-7 years of experience in data engineering or related roles.
- Strong SQL and Python skills.
Skills
Data engineering
ETL processes
Collaboration
Good to have
Machine learning
Cloud platforms (AWS, GCP)
Benefits
- Flexible schedule and remote work.
- Opportunity to work on innovative projects.
- Networking opportunities in the fintech industry.
Interested in this role?
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Questions about this job
What tools will I be using?
You will primarily use SQL, Python, and various data engineering tools like Apache Spark.
Is this position fully remote?
Yes, this is a contract role that allows you to work remotely.
What is the duration of the contract?
The contract duration is typically 6-12 months, with possible extensions based on project needs.
What is the expected salary range?
The salary for this role ranges from $80,000 to $115,000 per year.
Listing last updated