Data Engineer – Ground‑Floor Quant Finance Platform

Saragossa; Columbus (OH); On-site; USD 110,000 - 150,000; Full time

Job summary

Saragossa is recruiting a Data Engineer to design and build data pipelines and platforms that feed advanced analytics and modeling for our clients in finance. You will work directly with data scientists, consultants, and clients to ensure data is reliable, accessible, and high-quality for decision making.

Required is 3–6 years of data engineering experience, strong Python and SQL skills, and exposure to distributed computing tools and cloud platforms.

Qualifications

• 3–6 years of data engineering experience.
• Proficient in Python and SQL.
• Experience with distributed computing and cloud platforms.
• Experience writing clean, scalable data pipelines.

Responsibilities

• Design and build data pipelines and platforms supporting analytics and modeling.
• Collaborate with data scientists, consultants, and clients to ensure data reliability and quality.
• Ship data-intensive applications with modern engineering practices (CI/CD, version control, IaC).

Job description

Saragossa is recruiting a Data Engineer to design and build data pipelines and platforms that feed advanced analytics and modeling for our clients in finance. You will work directly with data scientists, consultants, and clients to ensure data is reliable, accessible, and high-quality for decision making.

Required is 3–6 years of data engineering experience, strong Python and SQL skills, and exposure to distributed computing tools and cloud platforms.