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# Data Engineer II

- **Company:** Mastercard
- **Location:** O'Fallon, MO, United States
- **Salary:** $92,000.0 - $147,000.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Big Data, Code Review, Cyber Security, Information Systems, Data Validation, Information Engineering, Extract Transform Load (ETL), Data Transformation, Data Systems, Relational Databases, Database Design, Database Queries, Database Testing, Distributed Computing Environment, Document-Oriented Databases, Python (Programming Language), PostgreSQL, Operational Databases, SQL Databases, Data Streaming, Data Processing, Cloud Platform System, Apache Spark, Core Data, Information Technology, Data Management, Data Pipelines, Databricks, Programming Languages
- **Published:** October 26, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3468361912&tx=HT7266TYT&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Experience as a Data Engineer or in a similar technical role, with a solid understanding of core data engineering concepts, methodologies, and best practices.
 * Experience designing, building, and maintaining ETL/ELT pipelines and data transformations.
 * Strong SQL skills, including the ability to write and optimize queries to retrieve, transform, and analyze large datasets efficiently.
 * Experience with Python or another programming language used for data processing and automation.
 * Experience working with relational databases, including Postgress, and an understanding of data modeling and database design.
 * Familiarity with cloud-based data platforms and modern data engineering technologies.
 * Familiarity with distributed data processing technologies such as Databricks, Apache Spark, or comparable platforms.
 * Understanding of data testing, validation, and quality practices to ensure accuracy and consistency across data pipelines.
 * Strong analytical and problem-solving skills, with the ability to troubleshoot complex data issues and develop effective solutions.
 * Ability to manage multiple tasks and priorities while working effectively in a fast-paced environment.
 * Ability to work independently while collaborating effectively across cross-functional and Agile teams.
 * A continuous improvement mindset, with the ability to think critically, innovate, and identify opportunities to enhance data solutions.
 * Strong verbal and written communication skills, with the ability to clearly communicate technical concepts to both technical and non-technical stakeholders.
 * Bachelor's degree in Computer Science, Engineering, Information Systems, or a related STEM discipline. Equivalent practical experience will also be considered.

## Description

In this role, you will work with large and complex datasets to develop scalable, reliable, and high-quality data solutions. You will collaborate with engineers, data scientists, risk analytics, and product partners to translate business needs into effective data products and pipelines. This is an opportunity for an engineer to deepen their data engineering expertise while contributing to modern cloud-based platforms and ECR's ongoing data modernization efforts., * Design, develop, test, and maintain scalable data pipelines, transformations, and datasets supporting ECR products and initiatives.

 * Build and optimize ETL/ELT workflows using technologies such as SQL, Python, Databricks, and Spark.
 * Develop and maintain curated data products that support reporting, analytics, credit decisioning, and other business use cases.
 * Partner with Product, Risk Analytics, Data Science, and Engineering teams to understand requirements and translate them into effective technical solutions.
 * Implement data validation, testing, and quality controls to ensure data accuracy, consistency, and reliability.
 * Support the deployment, monitoring, and ongoing operation of production data pipelines and workflows.
 * Investigate and troubleshoot data and pipeline issues, contributing to root cause analysis and resolution.
 * Participate in code reviews and follow established engineering standards, best practices, and development processes.
 * Contribute to the modernization of data platforms, including cloud migration and adoption of modern data engineering technologies.
 * Document data solutions, pipelines, data flows, and operational processes.
 * Identify opportunities to improve the performance, reliability, scalability, and efficiency of data solutions., All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
 * Abide by Mastercard's security policies and practices;
 * Ensure the confidentiality and integrity of the information being accessed;
 * Report any suspected information security violation or breach, and
 * Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.