Data Engineer

MVB

Data Engineer at MVB Financial Corp. responsible for designing scalable data infrastructure and automation solutions, collaborating with cross-functional teams to enhance data quality and delivery.

Posted 6/3/2026full-timeRemote • Arizona, Florida, Maryland, New Jersey, New York, North Carolina, Ohio, Pennsylvania, South Dakota, Texas, Virginia, Washington, West Virginia • 🇺🇸 United StatesMid-LevelSeniorWebsite

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

data pipelinesmedallion architecturedata modelsdata quality frameworksSQLPythonAWS data servicesGitApache Airflowmachine learning workflows

Soft Skills

communication skillscollaborationtechnical specifications translationincident resolution

Tools & Technologies

SnowflakeAWSGitHubGitLabdata governance tools

Certifications & Qualifications

Snowflake SnowPro CoreAWS Cloud Practitioner

Industry Keywords

financial servicesregulated industriesbusiness intelligencedata engineering

Tech Stack

Tools & technologies

AirflowApacheAWSCloudPythonSQL

About the role

Key responsibilities & impact

Design, build, and maintain saleable data pipelines within Snowflake from multiple sources
Build and maintain medallion architecture (bronze/silver/gold layers) for data lake solutions
Design data models that support both businesses intelligence and AI requirements
Lead cloud-native data platform evolution, integrating Snowflake with AWS.
Collaborate with business analysts, data scientists, and stakeholders to understand data requirements and translate them into technical specifications.
Implement data quality frameworks and monitoring systems to ensure accuracy, completeness, and consistency of data assets.
Develop and maintain comprehensive documentation for data pipelines, models, and processes.
Optimize query performance and resource utilization to reduce costs and improve processing times.
Participate in on-call rotation to support production data systems and resolve incidents.

Requirements

What you’ll need

Bachelor's degree in Computer Science, Information Systems, Data Engineering, Mathematics, Statistics, or related technical field or equivalent relevant experience required.
5+ years of hands-on data engineering experience building production-scale data systems
Snowflake proficiency: warehouses, databases, roles, RBAC, Snowpipe, streams, tasks, and performance optimization
Strong SQL mastery: complex queries, window functions, CTEs, query optimization, and database design
Programming proficiency: Python for data transformation, automation, and pipeline development
Cloud platform experience: Deep knowledge of AWS data services and architecture patterns
Version control and CI/CD: Git, GitHub/GitLab, automated testing, and deployment pipelines
Orchestration expertise: Apache Airflow or similar workflow management tools
Excellent communication skills with ability to explain technical concepts to non-technical stakeholders
Experience in financial services or highly regulated industries preferred
Familiarity with data governance tools and frameworks preferred
Experience with Snowflake engineering processes preferred
Certifications: Snowflake SnowPro Core and AWS Cloud practitioner preferred
Understanding of business intelligence, machine learning workflows, and AI practices preferred

Benefits

Comp & perks

Medical, Dental and Vision Insurance
Health Savings Account (HSA), Health Reimbursement Account (HRA) & Flexible Spending Accounts (FSA)
Short- and Long-Term Disability Plan
Group Life Insurance
401K Salary Deferral Plan
Wellness Program
Education & Tuition Expense Reimbursement
PTO and Unique Vacation Purchase Program
Nationwide Pet Insurance Coverage