Data Engineer

Blood Cancer United

. Design, build, and maintain scalable and secure data architecture in Snowflake .

Posted 10/3/2026full-timeRemote • United StatesMid-LevelSenior💰 $89,000 - $128,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining scalable data architecture using Snowflake, with a strong focus on data quality, integrity, and performance optimization. Proficient in cloud platforms and ETL processes, ensuring effective collaboration with cross-functional teams to translate business requirements into data solutions.

Highest-signal resume keywords

Snowflake Data CloudSQL SkillsAWS Cloud PlatformData Modeling TechniquesGitHub for Deployments

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Architecture DesignETL/ELT DevelopmentQuery Performance OptimizationData Quality AssuranceData Warehouse Management

Soft Skills

Excellent Communication SkillsProblem Solving

Tools & Technologies

InformaticaMuleSoftGitHubAWSAzureGCP

Industry Keywords

Enterprise Data ManagementData GovernanceData EngineeringData LakeData Warehouse

Tech Stack

Tools & technologies

AWSAzureCloudETLGoogle Cloud PlatformInformaticaSQLVault

About the role

Key responsibilities & impact

Design, build, and maintain scalable and secure data architecture in Snowflake
Develop and optimize Snowflake objects, including tables, dynamic tables, views, and warehouses
Manage Snowflake security and access
Partner with the Integration team on ETL pipelines in and out of the data warehouse using Snowflake-native tools, Informatica, and MuleSoft
Build and manage deployment of Snowflake changes across environments, including production, using GitHub
Ensure data quality, integrity, and lineage across pipelines
Write and optimize query performance and warehouse usage
Monitor Snowflake compute costs
Develop scripts for moving data and ETL/ELT between AWS and Snowflake
Work with AWS, S3, Azure, GCP, and blob storage
Support the production Enterprise Data Warehouse environment, including ingestion and transformation issues
Perform unit testing and clearly document builds
Partner with data analysts, governance, and Business Intelligence teams to enable analytics
Support the Data Architect and Business Intelligence teams with optimized data models
Translate business requirements into scalable data solutions
Maintain working knowledge of the organization’s mission and programs
Perform other related duties as assigned

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Information Systems, or related field
5+ years of designing and implementing a fully operational production-grade large-scale data solution
Hands-on experience with Snowflake Data Cloud
Understanding of enterprise data management concepts, including governance, engineering, science, lake, warehouse, sharing, and applications
Experience using GitHub for deployments
Strong SQL skills
Experience with cloud platforms such as AWS, Azure, or GCP
Knowledge of data modeling techniques, including Kimball and Data Vault
Excellent written and verbal presentation and communication skills
Ability to problem solve in an environment with unclear requirements
Weekend and evening work may be required

Benefits

Comp & perks

Medical insurance
Dental insurance
Vision insurance
Life insurance
Flexible spending accounts
403b retirement plan
Generous paid time off
Federal paid holidays
Wellness program
Employee assistance program
Annual incentive plan
Competitive benefits package
Reasonable accommodations for individuals with disabilities