Data Engineer

IT Job Stuff · recruiting for a confidential client

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Listing updated

Pay
$80,000–110,000 a year
Location
San Diego, California
Work mode
Hybrid
Job type
Full time
Experience
2–5 yrs
Category
Fintech

Join our client as a Data Engineer in the dynamic Fintech space, where you will help design and optimize data pipelines.

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About the role

In this role, you will work closely with cross-functional teams to develop and maintain robust data architectures. You will be responsible for ensuring data integrity and accessibility while implementing best practices in data management. This position is ideal for someone with strong analytical skills and a passion for transforming raw data into actionable insights. The team offers a collaborative environment where innovation is encouraged and supported.

What you'll do

  • Develop and maintain scalable data pipelines
  • Collaborate with data analysts and data scientists
  • Ensure data integrity and quality
  • Implement data governance best practices

What you'll need

  • Bachelor's degree in Computer Science or a related field
  • 2-5 years of experience in data engineering
  • Proficiency in SQL and data modeling tools

Skills

SQL Data modeling ETL tools

Good to have

Python Cloud platforms (AWS, Azure)

Benefits

  • Comprehensive health insurance
  • 401(k) plan with company match
  • Flexible work hours

Interested in this role?

It takes about two minutes. Free to apply — IT Job Stuff never asks candidates for money.

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Questions about this job

What are the key responsibilities of the Data Engineer role?
You will design and implement data pipelines, collaborate with data scientists, and ensure data quality.
Is this role remote or onsite?
This position is hybrid, requiring some onsite presence in Downtown San Diego.
What qualifications are needed for this role?
A degree in Computer Science or related field, experience with SQL and ETL tools are essential.

Listing last updated

Data Engineer

$80,000–110,000 a year

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