Data Engineer, Senior

Shift4 (NYSE: FOUR) is boldly redefining commerce by simplifying complex payments ecosystems across the world. As the leader in commerce-enabling technology, Shift4 powers billions of transactions annually for hundreds of thousands of businesses in virtually every industry. For more information, visit www.shift4.com.

Summary
We are looking for a Data Engineer Senior to join our team of world-class in-house engineers. As a Data Engineer Senior, you will be responsible for designing, developing, and maintaining robust data infrastructure solutions to support the organization’s data-driven initiatives. We seek self-driven and motivated individuals who take ownership of their projects. You will collaborate closely with cross-functional teams including project managers, business analysts, and software engineers to ensure the availability, reliability, and scalability of our systems. This role requires deep expertise in data engineering and ETL processes.

Responsibilities

Development & Maintenance of Scalable Data Pipelines

• Design, develop, and maintain automated data pipelines and ETL processes to ingest, transform, and load large volumes of data from diverse sources into relational databases (e.g., SQL, stored procedures, functions).
• Ensure scalable and reliable data workflows that support high-volume and complex data processing.

Data Quality, Security & Governance

• Implement data validation, data cleansing, and data governance processes to ensure high data integrity.
• Enforce data security and data privacy principles throughout the data pipeline to ensure compliance with regulations and best practices.

Optimization & System Reliability

• Continuously optimize and fine-tune data systems for performance, scalability, and reliability.
• Actively troubleshoot and resolve data pipeline, processing job, and database performance issues.
• Provide off-hours support when necessary to ensure the continued reliability of data systems.

Agile Development & Collaboration

• Participate in the Agile SDLC, collaborating with cross-functional teams to deliver enhancements and resolve bugs in a timely manner.
• Ensure development work aligns with sprint goals and deliverables as defined by Project Managers.

Data Modeling & Integration Support

• Aid in the design and implementation of efficient data models and schemas to support data analysis, reporting, and visualization needs.
• Work closely with software engineers to integrate data engineering solutions into applications and software products.

Knowledge Sharing & Continuous Improvement

• Document data engineering processes, data models, and system configurations for knowledge sharing and future reference.
• Stay up-to-date with emerging data engineering technologies, tools, and best practices, and recommend improvements to existing data infrastructure.

Qualifications

• Experience:
  • Bachelor's or Master’s degree in Computer Science, Information Systems, or a related field.
  • 2+ years of experience in data engineering or a similar role.
  • Advanced experience with relational databases like MSSQL, PostgreSQL, or AWS Redshift.
  • Advanced experience with SQL and MSSQL SSIS or other ETL tools.
  • Familiarity with data warehousing concepts and technologies.
  • Experience working in an Agile SDLC environment.
• Skills:
  • Strong problem-solving and analytical skills, with keen attention to detail.
  • Ability to prioritize multiple tasks and adjust to changing priorities.
  • Excellent interpersonal, verbal, and written communication skills, especially in technical documentation.
  • Ability to identify problems, initiate solutions, and collaborate effectively with team members.
• Certifications:
  • Relevant certifications in data engineering are a plus.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class.