Data Platform Engineer — Pipelines, NLP & Analytics Infra

Keystone Partners Consulting; Jackson (MS); On-site; USD 90,000 - 130,000; Full time

Job summary

Keystone Partners Consulting in Jackson, MS seeks a data infrastructure engineer to design, build, test, and evaluate the data systems that power our business operations.

You will build and maintain robust data pipelines, develop and scale infrastructure for ingestion and processing, and design data models.

Collaborate across teams, communicate clearly, and apply strong SQL and Python skills to improve analytics and insights.

Qualifications

• Bachelor's degree in CS, Data Science, or related field (or equivalent).
• 4+ years of experience with ETL platforms and data infrastructure.
• Strong SQL and Python skills; experience with data warehousing and modeling.
• Ability to work both independently and with teams; strong communication.

Responsibilities

• Build and maintain robust systems that collect and process data in line with company objectives.
• Develop and scale infrastructure for ingesting, processing, and extracting insights from data.
• Design and implement statistical or mathematical models for classification and information extraction tasks.
• Use existing data infrastructure to handle data requests: cleansing, normalization, hashing, and updates to data models.
• Develop and implement data processing modules and ML-ready components.

Skills

ETL platforms

SQL

Python

Data warehousing

Data modeling

Communication

Analytical skills

Problem solving

Independent work

Education

Bachelor's degree in Computer Science or Data Science

Master's degree preferred

Tools

IBM DataStage

Informatica

Snowpipe

AWS

Azure

Job description

Keystone Partners Consulting in Jackson, MS seeks a data infrastructure engineer to design, build, test, and evaluate the data systems that power our business operations.

You will build and maintain robust data pipelines, develop and scale infrastructure for ingestion and processing, and design data models.

Collaborate across teams, communicate clearly, and apply strong SQL and Python skills to improve analytics and insights.