Senior Data Engineer

Position Type :

Full time

Type Of Hire :

Experienced (relevant combo of work and education)

Job Description

We are FIS. Our technology powers the world’s economy and our teams bring innovation to life. We champion diversity to deliver the best products and solutions for our colleagues, clients and communities. If you’re ready to start learning, growing and making an impact with a career in fintech, we’d like to know: Are you FIS?

Summary of This Role

We’re seeking a Senior Software Engineer to design, build, and maintain reliable data solutions across cloud and legacy platforms. The ideal candidate brings strong experience with SQL, DBT, Snowflake, Python, and Spark, along with familiarity integrating AWS services, IBM DataStage, and mainframe data—including copybooks.

Job Description

Responsibilities

• Design, develop, and maintain scalable data pipelines and transformation workflows.
• Build and optimize DBT models and Snowflake workloads, with attention to performance, data quality, and cost.
• Develop data-processing applications and automation using Python and Apache Spark.
• Integrate data from cloud, relational, and mainframe systems, including files defined by COBOL copybooks.
• Support and modernize existing IBM DataStage workflows while enabling migration to cloud-based platforms.
• Apply software engineering practices such as version control, code reviews, automated testing, CI/CD, and technical documentation.
• Collaborate with product, analytics, architecture, and operations teams to translate requirements into dependable data solutions.
• Troubleshoot production issues and improve pipeline reliability, observability, and operational support.

What Are We Looking for in This Role?

Required Qualifications

• Significant professional software engineering or data engineering 5+ years of experience.
• Strong SQL skills, including query development, optimization, and data modeling.
• Hands‑on experience with DBT and Snowflake.
• Proficiency in Python and experience building data-processing solutions with Apache Spark.
• Experience with AWS data services and cloud-based application or pipeline deployment.
• Knowledge of IBM DataStage and enterprise data integration patterns.
• Familiarity with mainframe data formats and the ability to interpret COBOL copybooks.
• Strong problem-solving, communication, and collaboration skills.

Preferred Qualifications

• Experience modernizing legacy data platforms or migrating workloads to the cloud.
• Knowledge of data warehousing, dimensional modeling, and data governance.
• Experience with orchestration, monitoring, and automated data‑quality testing.
• Familiarity with Agile delivery and CI/CD practices.
• Good understanding of data lake concepts, ETL patterns, data modeling, distributed data processing.
• Experience developing and supporting production data pipelines

What we offer you:

A career at FIS is more than just a job. It’s the change to shape the future of fintech. At FIS, we offer you:

• A voice in the future of fintech
• Always‑on learning and development
• Collaborative work environment
• Opportunities to give back
• Competitive salary and benefits

Privacy Statement

FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice.

EEOC Statement

FIS is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here supplement document available here

For positions located in the US, the following conditions apply. If you are made a conditional offer of employment, you will be required to undergo a drug test. ADA Disclaimer: In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case‑by‑case basis.

Sourcing Model

Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.