About the role
As a Data Engineer, you will be responsible for developing and maintaining robust data pipelines that support our financial analytics services. You'll work closely with data scientists and analysts to ensure data quality and accessibility. This position suits someone who thrives in a fast-paced environment and enjoys tackling complex data challenges.
You will take ownership of data integration processes and contribute to the design of data architectures that optimize performance and scalability. The team values innovation and encourages collaboration, making it an excellent place for personal and professional growth.
What you'll do
- Develop and maintain data pipelines
- Ensure data quality and integrity
- Collaborate with data scientists and analysts
- Design scalable data architectures
What you'll need
- Bachelor's degree in Computer Science or related field
- Experience with SQL and Python
- Familiarity with ETL tools
Skills
SQL
Python
Data warehousing
Good to have
AWS
Apache Spark
Benefits
- Health insurance
- 401(k) plan with company match
- Flexible work hours
Interested in this role?
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Questions about this job
What are the main responsibilities of the Data Engineer?
You will develop data pipelines, maintain data quality, and collaborate with data scientists.
What qualifications are required for this role?
A degree in Computer Science or related field, plus experience with SQL, Python, and ETL tools.
Is this position remote?
This is a hybrid role, allowing both in-office and remote work.
What is the salary range for this position?
The salary is between $75,000 and $95,000 per year.
How do I apply for this job?
Click "Apply Now" on this page to apply through IT Job Stuff. IT Job Stuff is recruiting for this role on behalf of a client employer.
Listing last updated