Data Engineer - Delta Point

King Cove Federal LLC; Northern (KY); Hybrid; USD 90,000 - 130,000; Full time

Job summary

Delta Point is seeking a Data Engineer to design, build, and optimize back-end data pipelines that transform raw data into curated, business-ready assets across finance, supply chain, HR, and operations.

You will apply Python-based processing, collaborate with enterprise systems, maintain data quality, and document architectures while supporting Palantir Foundry and ERP platforms.

Qualifications

• Bachelor's degree or equivalent experience.
• Active Secret Security Clearance.
• 3+ years building ETL/ELT pipelines and back-end data solutions.
• Strong Python for data engineering and automation.
• Experience with low-code ETL/data integration tools.
• Git/GitHub deployment practices.

Responsibilities

• Design and maintain automated ETL/ELT data pipelines.
• Integrate data from multiple enterprise systems while ensuring data quality and integrity.
• Develop Python-based data processing and automation solutions.
• Build curated data sources supporting finance, supply chain, HR, operations, and other business functions.
• Collaborate with stakeholders to define requirements and deliver scalable solutions.
• Document data architectures, workflows, and engineering processes.
• Support enterprise data platforms, including Palantir and ERP systems.

Skills

Python

ETL/ELT pipelines

Data engineering

Git/GitHub

Data quality

Low-code ETL tools

Analytical thinking

Education

Bachelor's degree

Tools

Palantir Foundry

SAP ERP

Job description

Description

Delta Point is seeking a Data Engineer to support the development and maintenance of enterprise data solutions. This role focuses on designing, building, and optimizing back-end data pipelines that transform raw data into curated, business-ready data assets. The ideal candidate has hands-on experience building ETL/ELT pipelines, integrating data from multiple enterprise systems, and delivering scalable data solutions.

Key Responsibilities

• Design and maintain automated ETL/ELT data pipelines.
• Integrate data from multiple enterprise systems while ensuring data quality and integrity.
• Develop Python-based data processing and automation solutions.
• Build curated data sources supporting finance, supply chain, HR, operations, and other business functions.
• Collaborate with stakeholders to define requirements and deliver scalable solutions.
• Document data architectures, workflows, and engineering processes.
• Support enterprise data platforms, including Palantir and ERP systems.

Requirements

• Bachelor's degree in a related field or equivalent experience.
• Active Secret Security Clearance
• 3+ years of professional experience building ETL/ELT pipelines and back-end data solutions.
• Strong proficiency in Python for data engineering and automation.
• Experience with low-code ETL/data integration tools.
• Manage code and deployments using Git/GitHub best practices.
• Strong analytical and problem-solving skills.

Preferred Qualifications

• Hands-on experience with Palantir Foundry or similar enterprise data integration platforms.
• Experience working with SAP, ERP, or related enterprise data structures.
• Knowledge of modern data architecture and governance principles.
• Experience supporting finance, supply chain, HR, logistics, or operational data domains.
• Experience transforming complex enterprise data into curated business-ready datasets.