Data Engineer - Delta Point

Delta Point LLC
Frederick, MD, United States
about 1 month ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Job source

Tech stack

Data Architecture Information Engineering Data Integration Extract Transform Load (ETL) Data Systems Document-Oriented Databases Python (Programming Language) Operational Data Store SAP (Applications) Software Configuration Management Data Processing Backend
+3 more
Low-code Software Version Control Data Pipelines

Job 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 possesses a proven track record of developing scalable ETL/ELT processes, integrating data from complex enterprise systems, and delivering structured data sources that support analytics and decision-making., * Design, develop, 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.
  • Troubleshoot and optimize data workflows for performance and reliability.
  • Document data architectures, workflows, and engineering processes.

Requirements

  • Bachelor’s degree in a related field or equivalent experience.
  • 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.
  • Experience transforming complex enterprise data into curated business-ready datasets.
  • Experience with source control and repository management.
  • Strong analytical and problem-solving skills., * 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.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

47 sec

Building modern data pipelines for legacy exports

Dr. Alexander Wachtel Dr. Alexander Wachtel +1 · World Congress 2025

1:52 min

Structuring and scaling the backend engineering team

Stefan Lingler Stefan Lingler +1 · Coffee With Developers

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Defining low-code systems and determining their ideal use cases

Halil İbrahim Kalkan Halil İbrahim Kalkan · World Congress 2026 Europe

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Classifying and anonymizing data during system design

Reto Kaeser · LIVE

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Core technical practices for robust data engineering

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

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Choosing TypeScript for complex backend applications

Maximilian Otto Maximilian Otto · World Congress 2024

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