Data Engineer - Finance Tech Consultancy

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

Data Engineer - Finance Tech Consultancy

Columbus, United States | $130k - $160k USD per year

Data Engineer (Python Databricks SQL) Columbus, Ohio to $160,000

Do you have a first class education combined with Data Engineering skills?

You could be progressing your career at a scaling Technology Consultancy within the finance division.

As a Data Engineer you will work closely with front office teams to understand and define their data needs, ensuring that data capabilities align with business objectives. You'll contribute to the ongoing development and operation of the firm's data platform, leveraging both in-house and third-party data tools to deliver scalable and efficient solutions.

A key focus will be on analysing and automating data-related processes, identifying opportunities to streamline workflows and reduce manual intervention. You will be responsible for building and maintaining data pipelines from a variety of external providers, ensuring the seamless integration of high-quality data into the firm's core platform.

Additionally, you'll curate and manage both internal and external datasets to support the front office's analytical and operational requirements. This will include designing and implementing pragmatic, best-practice data models and architectures that are fit for purpose in a fast-paced environment.

You will also play a key role in establishing and enforcing data standards and quality controls, helping to ensure the integrity, consistency, and reliability of data across the organisation.

Location / WFH:

You’ll join colleagues in their new Columbus, Ohio office on a fulltime basis (Monday to Friday).

About you:

• You have achieved a GPA score of above 3.6, having studied at an Ivy League university
• You have commercial Data Engineering experience and a strong understanding of modern data engineering best practices
• You have experience with Databricks, ideally also Azure
• You have experience of working with technologies such as SQL, Apache Spark and Python including PySpark and Pandas
• You're excited to join a start-up in a role that you can shape and influence
• You're collaborative with excellent communication skills
• You are a UD citizen or hold a valid Green Card, no visa sponsorship available

What's in it for you:

As a Data Engineer you will earn a competitive package:

• Salary to $160,000
• Bonus
• Social team atmosphere with a range of events
• Challenging work with great career development and learning opportunities