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# Senior Data Engineers

- **Company:** Natixis North America LLC
- **Location:** Boston, United States (Remote available)
- **Experience:** Expert
- **Salary:** $185,000.0 - $195,000.0
- **Contract:** Permanent contract
- **Skills:** Adobe Analytics, Application Programming Interfaces (APIs), Amazon Web Services, Databases, Data Validation, Information Engineering, Extract Transform Load (ETL), Data Systems, Data Warehousing, Software Design Patterns, Systems Analysis, Python (Programming Language), Cloud Services, Salesforce.Com, Software Engineering, SQL Databases, Information Technology, Data Management, Data Delivery, Pardot B2B Marketing Automation (Salesforce), Data Pipelines
- **Published:** June 29, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=973d4ec3f97a085c

## About the Role

Do you have experience in Software engineering?, Do you have a Bachelor's degree?, Employer requires a bachelor's degree in computer science, information technology, or related field plus eight (8) years of progressively more responsible experience as a software engineer with a focus on data., * Expertise to efficiently extract data from databases, CRM systems, and APIs to build maintainable and supportable ETL code using Informatica gained through eight (8) years of work experience;

 * Ability to extract data from multiple data sources using Python gained through three (3) years of work experience;
 * Expertise in SQL for ETL and data warehousing applications gained through eight (8) years of work experience;
 * Proficiency with data warehousing and financial datasets gained through five (5) years of work experience;
 * Ability to architect and design data pipeline and data warehouse solutions for the whole software development life cycle gained through five (5) years of work experience; and
 * Ability to develop solutions on AWS or other public cloud services gained through five (5) years of work experience.

## Description

The Senior Data Engineer will design, build and manage data pipelines that power applications and drive business decisions., * Design, develop, and maintain scalable data pipelines to ingest, process, and transform data from various sales and marketing systems such as Salesforce, Pardot and Adobe Analytics into the enterprise data warehouse.

 * Conduct business and systems analysis, design, implementation and the testing of data solutions to meet and exceed the expectations of our business partners and regulators.
 * Self-manage projects, participate in strategy and architecture reviews and help shape the direction of data management within the organization.
 * Ensure data quality, integrity, and consistency by implementing data validation and cleansing processes.
 * Develop strong domain expertise and lead all aspects of the SLAs for those data pipelines
 * Collaborate with various teams, including data scientists, analysts, and business partners, to understand data requirements and deliver high-quality data solutions.
 * Optimize and tune data pipelines for performance, scalability, and consistency with recommended design patterns.
 * Monitor and address data pipeline issues and collaborate with our support teams to ensure timely and accurate data delivery.
 * Stay up to date with the latest industry trends in data engineering and financial services, following standard methodologies.


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