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We are looking for a Data Engineer to join a growing financial services organization in Chicago, Illinois. This contract opportunity with potential for a permanent role is ideal for someone who enjoys building in a developing data environment, contributing to a modern cloud-based platform, and helping shape the next phase of the team’s capabilities. You will work closely with key data stakeholders in a nimble setting where initiative, sound judgment, and adaptability are highly valued.
Job Responsibility
Design and support data workflows that collect, refine, and deliver information across a contemporary cloud ecosystem
Develop and enhance scalable data pipelines using Python and automated ingestion platforms such as Fivetran or comparable tools
Model and transform datasets within Snowflake to enable reliable analytics and downstream business intelligence reporting
Collaborate closely with the data architect to expand and improve the organization’s overall data infrastructure
Contribute to reporting readiness by preparing curated datasets for visualization tools including Power BI and Sigma
Monitor pipeline performance and resolve data issues to maintain accuracy, consistency, and dependable delivery
Assess emerging technologies and recommend practical additions to the data stack as business needs evolve
Work effectively in a fast-paced team environment where priorities can shift and new tooling may be introduced regularly
Requirements
7-8 years of experience in data engineering or a closely related field
Strong hands-on background in building and supporting ETL or data pipeline solutions
Proven experience working with Snowflake in a production environment
Proficiency in Python for scripting, automation, and data processing tasks
Familiarity with modern cloud platforms
Experience with data ingestion technologies such as Fivetran or similar platforms
Ability to work through imperfect or incomplete data while communicating clearly with technical and business partners
Nice to have
Azure experience viewed favorably
Exposure to both on-premises and cloud-based data environments