MVB Bank Logo

MVB Bank

Data Engineer

Posted 5 Hours Ago
Remote
Hiring Remotely in United States
Senior level
Remote
Hiring Remotely in United States
Senior level
The Data Engineer is responsible for designing, building, and maintaining data infrastructure and pipelines, optimizing workflows, and ensuring data quality, collaborating with teams to meet data needs in a cloud environment.
The summary above was generated by AI

ABOUT US

Here at MVB, our company culture defines the environment in which Team Members thrive. Our culture impacts a wide range of elements, including our purpose, values, expectations and goals that support growth and engagement – it is the secret sauce of our organization!

Our values live at the core of all that we do – Trust, Commitment, Teamwork, Adaptive, Respect, Love and Caring are our foundation for success.

MVB Financial Corp. (“MVB Financial” or “MVB”), the innovative financial holding company of MVB Bank, Inc., is publicly traded on The Nasdaq Capital Market® under the ticker “MVBF.” Through its subsidiary, MVB Bank, Inc., (“MVB Bank”) and the bank’s subsidiaries, MVB provides services to individuals and corporate clients in the Mid-Atlantic region, as well as to Fintech, Payment and Gaming clients throughout the United States. For more information about MVB, please visit www.mvbbanking.com.

 This role can be based remotely.

Candidates must reside in one of the following states: West Virginia, Virginia, Texas, Florida, Ohio, Pennsylvania, Maryland, Washington D.C., New York, New Jersey, Arizona, North Carolina, Georgia, or South Dakota. 

 

ABOUT THE ROLE

The Data Engineer position is responsible for designing, building, and maintaining robust data infrastructure and automation solutions that support our organization's data-driven initiatives. This role will work closely with cross-functional teams to develop scalable data pipelines, optimize data workflows, and ensure high-quality data delivery across the enterprise. This position requires strong technical expertise in Python and SQL programming, along with experience in modern data engineering tools and cloud platforms.

WHAT YOU’LL DO

  • 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.

EDUCATION & WORK EXPERIENCE

  • 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 AT MVB

MVB Financial Corp., (“MVB”) offers an excellent selection of benefits for regular, part-time and full-time Team Members, including:

  • 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

#LI-Remote

We encourage you to submit an application even if you haven’t performed every job duty listed above, as your skills may be transferrable. MVB is looking for ambitious individuals with related knowledge, understanding and abilities who are willing to learn and grow. What we care about most is allowing you to develop and, in return, you help us become a stronger, more diverse and well-rounded organization.  

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

Similar Jobs

4 Days Ago
Remote or Hybrid
USA
195K-290K Annually
Expert/Leader
195K-290K Annually
Expert/Leader
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
As a Principal Data Engineer, you will design and implement LLM, AI-powered security data platforms, mentor engineers, and drive the adoption of data solutions across teams.
Top Skills: AirflowAWSBigQueryDaskDockerFlinkGCPKafkaKubeflowKubernetesLangchainLlamaindexMlflowMlops ToolsOciPulsarPythonSagemakerSnowflakeSparkVertex Ai
4 Days Ago
Remote or Hybrid
Boston, MA, USA
120K-135K Annually
Mid level
120K-135K Annually
Mid level
AdTech • Big Data • Digital Media • Software
As a Data Engineer II at Magnite, you will build and optimize data pipelines with Apache Spark and Python, collaborate on data architecture, ensure operational performance, and work on infrastructure provisioning using Terraform and AWS.
Top Skills: SparkAWSDatabricksDockerGithub ActionsGoJavaJenkinsKafkaKubernetesLinuxMariadbMemcachePostgresPythonRdsRedisRustSnsSpring BootSQLSqsTerraform
5 Days Ago
Remote or Hybrid
United States
165K-205K Annually
Mid level
165K-205K Annually
Mid level
Big Data • Cloud • Productivity • Software • Database • Analytics • Automation
The Data Engineer will build and maintain data pipelines, optimize workflows, manage infrastructure, and enhance pipeline observability while collaborating with teams for effective data delivery.
Top Skills: AirflowBigQueryDagsterDatabricksDatadogPrefectPythonRedisSnowflakeSQLTerraform

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account