Job Description
Job DescriptionWe 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.
Responsibilities:
• 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.• 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, with Azure experience viewed favorably.
• Exposure to both on-premises and cloud-based data environments.
• 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.