Senior Data Engineer - Build Scalable Data Pipelines

Moniepoint Inc.; United States; Remote; USD 120,000 - 160,000; Full time

Benefits offered by this job

Culture

Learning opportunities

Competitive compensation

Job summary

Moniepoint Inc. is hiring a Data Engineer to build and maintain robust data pipelines handling large data volumes. You will optimise the data platform for speed, scalability, and cost, and collaborate with cross-functional teams to meet data needs.

Ideal candidates hold 5+ years of data engineering experience, strong SQL and Python skills, and hands-on cloud experience (GCP/AWS/Azure). Excellent communication and a drive to learn are essential.

Qualifications

• Minimum of 5 years of proven experience as a Data Engineer.
• Strong problem-solving skills.
• Advanced proficiency with SQL.
• Proficiency with Python.
• Experience with cloud platforms (GCP, AWS, Azure).
• Experience using Git.
• Excellent written and verbal communication skills.
• A bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or any other related field.

Responsibilities

• Build and maintain robust data pipelines processing large volumes of data.
• Update and optimise our data platform for speed, scalability and cost.
• Coordinate with different functional teams to understand and meet their data needs.
• Develop processes and tools to monitor and analyse model performance and data accuracy.
• Solve general data-related problems.

Skills

SQL

Python

Problem solving

Communication

Data engineering

Education

Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or related field

Tools

Git

Cloud platforms (GCP, AWS, Azure)

Terraform

Job description

Moniepoint Inc. is hiring a Data Engineer to build and maintain robust data pipelines handling large data volumes. You will optimise the data platform for speed, scalability, and cost, and collaborate with cross-functional teams to meet data needs.

Ideal candidates hold 5+ years of data engineering experience, strong SQL and Python skills, and hands-on cloud experience (GCP/AWS/Azure). Excellent communication and a drive to learn are essential.