Senior Data Engineer - Databricks (hybrid role)

Senior Data Engineer

Our client is seeking a

Senior Data Engineer

to join a growing team responsible for building and enhancing modern data platforms and enterprise data solutions. This individual will play a key role in designing, developing, and optimizing scalable data pipelines, integrations, and cloud-based data architectures to support critical business initiatives.

Location:

Hybrid (Des Moines, IA metro)

Salary Target:

$120k - $130k base

Note:

Client sponsorship is not available for this role

The ideal candidate is a highly technical, hands-on engineer who enjoys building solutions, writing code, and working within modern data ecosystems. This is an individual contributor role offering the opportunity to make a significant impact within a collaborative and technically strong team.

Key Responsibilities:

• Design, build, and maintain scalable data pipelines and data integration solutions.
• Develop and optimize data models, transformations, and workflows within a modern cloud data platform.
• Implement ELT/ETL processes using industry best practices.
• Support modernization efforts by transitioning legacy data solutions into cloud-based architectures.
• Develop and support event-driven and API-based integration solutions.
• Partner with architects, engineers, and business stakeholders to deliver high-quality data products.
• Ensure solutions are secure, scalable, performant, and aligned with enterprise standards.
• Participate in code reviews and mentor less experienced team members.
• Support CI/CD processes, automated testing, and data governance initiatives.

Required Qualifications:

• 8\+ years of experience in Data Engineering, Data Integration, or related disciplines.
• Strong expertise with

Snowflake

.

• Hands-on experience with

dbt

.

• Advanced SQL development and performance optimization skills.
• Experience building enterprise-scale data pipelines and data products.
• Strong understanding of data modeling, data warehousing, and ELT/ETL principles.
• Experience working in cloud-based environments.
• Knowledge of scripting languages such as Python.
• Strong analytical, troubleshooting, and problem-solving skills.
• Experience working within Agile development environments.

Preferred Qualifications:

• Experience with

Databricks

.

• Experience with

Kafka

or other event-driven streaming technologies.

• Knowledge of Snowflake Dynamic Tables.
• Experience with Azure data technologies.
• Experience with ADLS, ADF, or similar cloud data services.
• Legacy platform experience such as SQL Server or Informatica.
• Financial services industry experience.
• Snowflake certifications.

What We're Looking For:

• A true hands-on Data Engineer who enjoys building and delivering solutions.
• Someone who is highly technical and comfortable owning development work from design through deployment.
• An engineer who can thrive in a collaborative environment while remaining productive as an individual contributor.
• Strong communication skills and the ability to work effectively across technical and business teams.