Data Engineer (Snowflake)

Brite Systems, Inc.; Northern (KY); Hybrid; USD 110,000 - 150,000; Full time

Job summary

Brite Systems is a U.S.-based, AI-led digital transformation partner helping government, nonprofit, and commercial clients modernize data platforms and cloud workloads. This role focuses on building and operating multi-source ingestion pipelines into Snowflake and developing Snowpark transformations in Python and SQL.

You’ll work in a remote/hybrid setup with two-week sprint cycles, collaborating with Data Scientists and Visualization engineers to deliver governed, analysis-ready data and

Qualifications

• Bachelor's degree in CS, Engineering, or equivalent hands-on experience.
• 5+ years of data engineering experience with strong Python and SQL.
• Snowflake production experience; SnowPro Core certification preferred.

Responsibilities

• Build and maintain ingestion pipelines using Snowpipe, Streams and Tasks, and dbt without degrading data freshness or load windows.
• Develop Snowpark-based Python and SQL transformation workloads according to design standards.
• Onboard new source systems identified in the Data Source Inventory during Build and Scale phases.
• Implement data quality checks and resolve pipeline issues identified during sprint reviews.
• Support 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 risk register.
• Experience with S3 External Stages and secure AWS-to-Snowflake data movement.
• Knowledge of AWS KMS encryption and high-volume Snowflake ingestion patterns.
• Understand MuleSoft data consumption and integration architectures.

Skills

Python

SQL

Data Eng

Agile

Data Quality

Education

Bachelor's degree in CS/Engineering

Tools

Snowflake

Snowpark

dbt

S3

AWS

KMS

Job description

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

About Us

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.

Job Description

About Brite Systems

BriteSystems Inc. is a U.S.-based, AI-led digital transformation company. Since2006, we have helped government and nonprofit organizations modernizetheirtechnology, improve operations, and deliver better outcomes for the communitiesthey serve.

Headquarteredin Indianapolis, Brite brings together expertise across Salesforce, AWS,MuleSoft, AI, and our proprietary Enlite Accelerator to solve complexchallenges 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 berecognized among Indiana’s fastest-growing companies, named to the Inc. 5000list of America’s fastest-growing private companies, and recognized as a GreatPlace to Work in Indiana for seven years.

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

Job Description

Data Engineers buildand operate the multi-source ingestion pipelines that consolidate client'son-premise and cloud data into the governed Snowflake environment, and developSnowpark transformation workloads in Python and SQL. This is the highest-volumebuild track in the engagement, spanning the Foundation, Build, and Scale phases.

Responsibilities

• Buildand maintain ingestion pipelines using Snowpipe, Streams and Tasks, and dbtwithout degrading data freshness or load windows.
• DevelopSnowpark-based Python and SQL transformation workloads under the DatabaseArchitect's design standards.
• Onboardnew source systems identified in the Data Source Inventory throughout the Buildand Scale phases.
• Implementdata quality checks and resolve pipeline issues identified during sprintreviews.
• Supportthe Data Scientist and Data Visualization Engineer with clean, governed,analysis-ready data sets.
• Participatein two-week sprint ceremonies and contribute to sprint reporting and the riskregister.
• Experiencewith S3 External Stages and secure AWS-to-Snowflake data movement.
• Knowledgeof AWS KMS encryption and high-volume Snowflake ingestion patterns.
• Understandingof MuleSoft data consumption and integration architectures.

Qualifications

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

WorkType

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

BriteSystems 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.