On-Site Enterprise Data Engineer — Python, SQL & Palantir

Bespoke Technologies, Inc.; Herndon (VA); On-site; USD 90,000 - 120,000; Full time

Job summary

Bespoke Technologies, Inc. is seeking an Enterprise Data Engineer to build and maintain data pipelines using Python, SQL, and Palantir.

This mid-SME role focuses on ETL for structured and unstructured data from diverse sources, with a strong emphasis on data quality and performance. The ideal candidate will transform and validate data, collaborate with IT and analytics teams, and ensure Palantir tooling is leveraged effectively across projects.

Qualifications

• 3+ years of data engineering experience.
• Proficient in Python scripting.
• Excellent SQL querying and optimization.
• Experience integrating data from APIs, databases, and file systems.
• Strong analytical and problem-solving skills.
• Strong communication and teamwork.

Responsibilities

• Write Python and SQL scripts to automate data processing.
• Integrate data from databases, APIs, and files into centralized systems.
• Implement data transformations, enrichment, and modeling workflows.
• Optimize data structures for performance and scalability.
• Provide guidance on Palantir usage across teams.
• Implement data quality checks and monitoring.
• Ensure proper data transformation and curation to meet business needs.
• Maintain data quality and cleansing processes.

Skills

Python

SQL

ETL processes

Data integration

Analytical skills

Communication

Teamwork

Education

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

Tools

Palantir

Airflow

Prefect

Job description

Bespoke Technologies, Inc. is seeking an Enterprise Data Engineer to build and maintain data pipelines using Python, SQL, and Palantir.

This mid-SME role focuses on ETL for structured and unstructured data from diverse sources, with a strong emphasis on data quality and performance. The ideal candidate will transform and validate data, collaborate with IT and analytics teams, and ensure Palantir tooling is leveraged effectively across projects.