Position Type

Full time

Type Of Hire

Experienced (relevant combo of work and education)

Education Desired

Bachelor of Computer Engineering

As the world works and lives faster, FIS is leading the way. Our fintech solutions touch nearly every market, company and person on the planet. Our teams are inclusive and diverse. Our colleagues work together and celebrate together. If you want to advance the world of fintech, we'd like to ask you Are you FIS

About The Role

We are seeking an experienced Data Engineer to design, build, and optimize scalable data pipelines and analytics-ready data models using Snowflake, dbt, Astronomer/Airflow, and Python. This role requires strong engineering discipline, hands-on experience with modern data platforms, and the ability to deliver reliable, governed, and high-performing data solutions that enable business reporting, analytics, and decision-making.

What You Will Be Doing

Design, develop, and maintain scalable batch and/or near-real-time data pipelines using Snowflake, Python, dbt, and Astronomer/Airflow
Build robust ELT workflows, reusable data transformation models, and automated data quality checks using dbt
Develop and optimize Snowflake data models, warehouses, schemas, tables, views, and stored procedures to support analytics and reporting workloads
Orchestrate, schedule, monitor, and troubleshoot data workflows using Astronomer/Airflow, including DAG design, dependency management, retries, and operational alerts
Write efficient Python scripts and SQL for data ingestion, transformation, validation, automation, and performance tuning
Implement data engineering best practices including modular code, version control, CI/CD readiness, documentation, testing, and peer reviews
Collaborate with analysts, product teams, business stakeholders, architects, and platform teams to understand requirements and deliver trusted data products
Ensure high standards for data quality, observability, governance, security, lineage, and operational reliability across data pipelines

What You Bring

Strong hands-on experience in data engineering, ETL/ELT development, data warehousing, and pipeline orchestration
Proficiency in Python and SQL for data ingestion, transformation, automation, validation, and troubleshooting
Hands-on experience with Snowflake, including data modeling, query optimization, warehouse management, performance tuning, and secure access patterns
Practical experience with dbt for modular transformations, model dependencies, testing, documentation, and deployment workflows
Experience with Astronomer/Airflow for DAG development, workflow scheduling, monitoring, retries, alerting, and production support
Understanding of data quality, data governance, metadata management, lineage, security controls, and engineering standards for enterprise data platforms

What We Offer You

Opportunity to work on high-impact, enterprise-scale data engineering initiatives
Exposure to modern data platforms, cloud data warehousing, orchestration tools, and analytics engineering practices
A collaborative environment working closely with product, business, analytics, architecture, and platform teams
Strong focus on engineering excellence, automation, learning, and career growth
Ability to build trusted data products that enable reporting, analytics, and business decision-making

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.

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.

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