Data Engineer, Finance Tech Platform (Databricks/Python)

Client Server Ltd.; North Carolina; On-site; USD 130,000 - 160,000; Full time

Benefits offered by this job

Bonus

Social team atmosphere

Career development opportunities

Job summary

Client Server Ltd. in Columbus, OH is seeking a Data Engineer to join a finance tech consultancy. You will build and maintain data pipelines, collaborate with front office teams, and craft scalable data models to support business goals.

Requirements include GPA >3.6 from an Ivy League university and experience with Databricks, Azure, SQL, Spark, and Python (PySpark/Pandas). This is a full-time, on-site role with a competitive USD salary up to $160,000 and bonus.

Qualifications

• GPA above 3.6 from Ivy League university.
• Commercial Data Engineering experience.
• Experience with Databricks and Azure.
• Proficiency in SQL, Apache Spark, Python (PySpark, Pandas).

Responsibilities

• Build and maintain data pipelines from external providers.
• Design and implement data models and architectures.
• Establish data standards and quality controls.
• Collaborate with front office teams to meet data needs.

Skills

SQL

Apache Spark

Python

PySpark

Pandas

Education

Ivy League degree

Tools

Databricks

Azure

Job description

Client Server Ltd. in Columbus, OH is seeking a Data Engineer to join a finance tech consultancy. You will build and maintain data pipelines, collaborate with front office teams, and craft scalable data models to support business goals.

Requirements include GPA >3.6 from an Ivy League university and experience with Databricks, Azure, SQL, Spark, and Python (PySpark/Pandas). This is a full-time, on-site role with a competitive USD salary up to $160,000 and bonus.