Data Engineer - Finance Data Platforms & Pipelines

Accelero; Columbus (OH); On-site; USD 95,000 - 140,000; Full time

Job summary

Accelero is establishing a Columbus office and is looking for a data engineer to join as one of the first engineers on the ground. You will design and implement data pipelines for banking and private capital clients, ensuring data is reliable and accessible for analysts and decision-makers.

You’ll collaborate with data scientists and consultants, bring in modern tooling, and tackle data engineering challenges across on-prem and cloud environments.

Qualifications

• 3–6 years as a data engineer or similar.
• Strong Python and SQL, with clean, performant code for large data volumes.
• Experience building data-intensive applications and pipelines, with an open mind on tooling.
• Familiarity with Spark, Databricks, Airflow, and cloud platforms (AWS/Azure/GCP).
• Modern engineering practices: version control, CI/CD, infrastructure as code.

Responsibilities

• Design and build data pipelines that pull from internal and external sources into client data platforms.
• Keep data reliable, available and high quality so clients can make better decisions.
• Work directly with data scientists, consultants and clients to make data easier to access and use.
• Bring in new tools and methods to improve how data is handled.

Skills

Python

SQL

Data pipelines

CI/CD

Infrastructure as code

Data quality

Education

CS or quantitative degree

Tools

Spark

Databricks

Airflow

AWS

Azure or GCP

Job description

Accelero is establishing a Columbus office and is looking for a data engineer to join as one of the first engineers on the ground. You will design and implement data pipelines for banking and private capital clients, ensuring data is reliable and accessible for analysts and decision-makers.

You’ll collaborate with data scientists and consultants, bring in modern tooling, and tackle data engineering challenges across on-prem and cloud environments.