Data Engineer; Snowflake

Anywhere in US (DC, MD, VA is preferred), United States | Posted on 08/14/2026

• City Anywhere in US (DC, MD, VA is preferred)
• Country United States

Brite Systems is a Salesforce Summit Partner delivering cloud, AI, and digital transformation solutions for public sector, healthcare, nonprofit, and commercial organizations. We specialize in Salesforce implementations, enterprise modernization, AWS cloud-native solutions, and AI-driven platforms that help organizations improve operational efficiency and service delivery. With a strong focus on innovation, collaboration, and customer success, Brite Systems continues to support organizations across the U.S. in building scalable and impactful technology solutions.

About Brite Systems

Brite Systems Inc. is a U.S.

-based, AI-led digital transformation company. Since
2006, we have helped government and nonprofit organizations modernizetheirtechnology, improve operations, and deliver better outcomes for the communities they serve.

Headquartered in Indianapolis, Brite brings together expertise across Salesforce, AWS,Mule Soft, AI, and our proprietary Enlite Accelerator to solve complex challenges and create meaningful impact.

AtBrite, you’ll be part of a collaborative, people-first team where innovation,continuous learning, and meaningful work come together. We’re proud to be recognized among Indiana’s fastest-growing companies, named to the Inc. 5000list of America’s fastest-growing private companies, and recognized as a Great Place to Work in Indiana for seven years.

Join Brite to build innovative technology, grow your career, and make a difference.

Data Engineers buildand operate the multi-source ingestion pipelines that consolidate client'son-premise and cloud data into the governed Snowflake environment, and develop

Snowpark transformation workloads in Python and SQL. This is the highest-volumebuild track in the engagement, spanning the Foundation, Build, and Scale phases.

• Buildand maintain ingestion pipelines using Snowpipe, Streams and Tasks, and dbtwithout degrading data freshness or load windows.
• Develop Snowpark-based Python and SQL transformation workloads under the Database Architect's design standards.
• Onboardnew source systems identified in the Data Source Inventory throughout the Buildand Scale phases.
• Implement data quality checks and resolve pipeline issues identified during sprintreviews.
• Support the Data Scientist and Data Visualization Engineer with clean, governed,analysis-ready data sets.
• Participate in two-week sprint ceremonies and contribute to sprint reporting and the riskregister.
• Experience with S3 External Stages and secure AWS-to-Snowflake data movement.
• Knowledge of AWS KMS encryption and high-volume Snowflake ingestion patterns.
• Understanding of Mule Soft data consumption and integration architectures.

• Bachelor'sdegree in Computer Science, Engineering, or equivalent hands-on experience.
• 5+years of data engineering experience, with strong proficiency in Python andSQL.
• Hands-on production experience with Snowflake;
  Snow Pro Core certification preferred.
• Experience with dbt and modern ELT/ETL pipeline design and orchestration.
• Exposure to AWS data services a plus.
• Comfortable working in a two-week Agile sprint cadence with transparent, COR-facingreporting.

Work Type

Remote / Hybrid (mostly work remote with occasional in-person meetings)

Brite Systems is an Equal Employment Opportunity and Aff… Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.