Data Engineer — Scale Pipelines for Financial Services (Hybrid)

Oliver Bernard; Columbus (OH); Hybrid; USD 110,000 - 150,000; Full time

Benefits offered by this job

Competitive base salary

Strong bonus

Hybrid work in Columbus (3 days/week)

Job summary

Oliver Bernard is recruiting a Data Engineer (All levels) for a Hybrid role in Columbus, OH, serving the financial services sector. You will build Python-based data pipelines and design scalable workflows, working with large, complex datasets to modernize client data platforms.

Ideal candidates bring production Python experience, strong data-pipeline expertise, and the ability to collaborate with non-technical stakeholders.

Qualifications

• Strong Python engineering skills with production experience.
• Experience building and running data pipelines at scale.
• Comfortable with large, messy real-world datasets.
• Consultancy experience or ability to deal with non-technical stakeholders.

Responsibilities

• Build Python-based data pipelines and processing solutions.
• Design scalable data engineering workflows.
• Work with large enterprise datasets.
• Support the modernization of client data platforms.
• Collaborate with engineering, data and business teams to solve problems.
• Contribute to technical architecture and engineering standards.

Skills

Python

Data pipelines

Big data

Stakeholder comms

Consultancy

Job description

Oliver Bernard is recruiting a Data Engineer (All levels) for a Hybrid role in Columbus, OH, serving the financial services sector. You will build Python-based data pipelines and design scalable workflows, working with large, complex datasets to modernize client data platforms.

Ideal candidates bring production Python experience, strong data-pipeline expertise, and the ability to collaborate with non-technical stakeholders.