Senior Data Integration Engineer (Python/ETL) - Remote/Hybrid

Montcure LLC; Washington (District of Columbia); Hybrid; USD 90,000 - 115,000; Full time

Job summary

Montcure, LLC is seeking an Enterprise Data Integration Engineer (Python/ETL) – Senior to support enterprise financial data integration and modernization efforts. This role designs, develops, and maintains robust ETL/ELT pipelines that transform data from multiple enterprise systems into trusted, business-ready datasets for reporting, analytics, and applications.

You will work with functional stakeholders to translate business rules into canonical data models, implement scalable transformations

Qualifications

• Bachelor's degree in CS/IS/Data Engineering or related field.
• 5+ years of experience developing enterprise ETL/ELT or data integration solutions.
• Strong Python programming for data processing and automation.
• Strong SQL skills including joins, aggregations, and optimization.
• Experience integrating data from multiple enterprise systems.
• Experience with data profiling, cleansing, normalization, reconciliation, and transformation.
• Ability to document source-to-target mappings and data lineage.

Responsibilities

• Design, develop, test, and maintain scalable ETL/ELT data pipelines using Python, SQL, and modern practices.
• Maintain and enhance existing pipelines as sources and reporting requirements evolve.
• Develop transformation logic that standardizes data from multiple enterprise sources.
• Build reusable data processing components to support enterprise reporting and analytics.
• Monitor and adapt pipeline logic while preserving data quality and integrity.

Skills

Python

SQL

Analytical thinking

Communication skills

Education

Bachelor's degree in Computer Science, Information Systems, Data Engineering, Mathematics, or related field

Tools

Jupyter notebooks

PySpark

Apache Spark

Databricks

Job description

Montcure, LLC is seeking an Enterprise Data Integration Engineer (Python/ETL) – Senior to support enterprise financial data integration and modernization efforts. This role designs, develops, and maintains robust ETL/ELT pipelines that transform data from multiple enterprise systems into trusted, business-ready datasets for reporting, analytics, and applications.

You will work with functional stakeholders to translate business rules into canonical data models, implement scalable transformations