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Bank Data Warehousing Jobs in Virginia (NOW HIRING)

DATA ENGINEER

Virginia Beach, VA ยท On-site

$101K - $121K/yr

Good communication skills Skills SQL, Python Basics, Data Engineering Fundamentals, ETL / ELT Pipelines, Banking & Financial Data, Transaction Data Processing, Data Warehousing Concepts, AWS Basics ...

Bank Tech is seeking Full Stack Software Engineers who are passionate about marrying data with ... Cloud based data warehousing services such as Redshift and Snowflake * Share your passion for ...

Bank Tech is seeking Full Stack Software Engineers who are passionate about marrying data with ... Cloud based data warehousing services such as Redshift and Snowflake * Share your passion for ...

Senior Data Science Analyst

Richmond, VA ยท On-site

$57 - $61/hr

Deep understanding of data warehousing architecture and dimensional modeling. * Strong scripting ... Provide sensitive financial information such as credit card numbers or banking information.

Lead Data Engineer (Bank Tech)

Mclean, VA ยท On-site

$103K - $136K/yr

Lead Data Engineer (Bank Tech) Do you love building and pioneering in the technology space? Do you ... Cloud based data warehousing services such as Redshift and Snowflake * Share your passion for ...

Lead Data Engineer (Bank Tech) Do you love building and pioneering in the technology space? Do you ... Cloud based data warehousing services such as Redshift and Snowflake * Share your passion for ...

Senior Lead Data Engineer (Bank Tech)

Mclean, VA ยท On-site

$229.90 - $262.40/hr

Senior Lead Data Engineer (Bank Tech) Do you love building and pioneering in the technology space ... Cloud based data warehousing services such as Redshift and Snowflake * Share your passion for ...

Data Architect

Richmond, VA ยท On-site +1

$63 - $81.25/hr

Company Federal Reserve Bank of St. Louis The Data Architect will lead the design and modernization ... Knowledge of data warehousing concepts and tools, big data technologies, machine learning and AI ...

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Bank Data Warehousing information

What is bank data warehousing?

Bank Data Warehousing jobs involve designing, building, and maintaining data warehouses for financial institutions. Professionals in these roles manage the storage, integration, and retrieval of large volumes of banking data to support business intelligence, reporting, and regulatory compliance. They frequently work with tools like SQL, ETL (Extract, Transform, Load) processes, and data modeling techniques. These roles are critical in helping banks make data-driven decisions and maintain data accuracy and security.

What are the key skills and qualifications needed to thrive in bank data warehousing?

To thrive in Bank Data Warehousing, you need expertise in data modeling, ETL (Extract, Transform, Load) processes, and a solid understanding of banking data, usually backed by a degree in computer science, information systems, or a related field. Familiarity with tools such as SQL, Oracle, Informatica, and data warehousing solutions like Teradata or Microsoft SQL Server, along with relevant certifications, is highly valued. Strong analytical thinking, problem-solving abilities, and effective communication skills help professionals translate complex data into actionable insights for stakeholders. These skills ensure efficient, secure, and compliant management of critical financial data, supporting business decision-making and regulatory requirements.

What are some common challenges faced by professionals working in bank data warehousing, and how can they be addressed?

Professionals in bank data warehousing often encounter challenges such as integrating data from multiple legacy systems, ensuring data accuracy and consistency, and maintaining compliance with strict regulatory requirements. To address these, teams typically implement robust ETL (Extract, Transform, Load) processes, utilize data quality management tools, and collaborate closely with compliance and IT departments. Staying updated with the latest industry practices and participating in cross-functional meetings also helps in overcoming these challenges and ensuring the success of data warehousing projects.

What is the difference between Bank Data Warehousing vs Bank Data Analysts?

AspectBank Data WarehousingBank Data Analysts
Primary FocusDesigning, developing, and managing data storage systems for banking dataAnalyzing banking data to generate insights and support decision-making
Skills & CertificationsDatabase management, ETL processes, SQL, data modelingData analysis, statistical skills, SQL, reporting tools
Work EnvironmentData warehouses, IT departments, technical teamsBusiness units, analytics teams, reporting environments
Industry UsageBuilding infrastructure for banking data storageInterpreting data to inform banking strategies

Bank Data Warehousing involves creating and maintaining the infrastructure for storing banking data, focusing on data architecture and management. In contrast, Bank Data Analysts interpret this data to provide actionable insights. Both roles require strong SQL skills, but their core responsibilities differ significantly, with warehousing centered on data infrastructure and analysis on data interpretation.

What job categories do people searching Bank Data Warehousing jobs in Virginia look for?

The top searched job categories for Bank Data Warehousing jobs in Virginia are:

What cities in Virginia are hiring for Bank Data Warehousing jobs?

Cities in Virginia with the most Bank Data Warehousing job openings:

Infographic showing various Bank Data Warehousing job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

DATA ENGINEER

AaraTechnologies Inc

Virginia Beach, VA โ€ข On-site

$101K - $121K/yr

Other

Re-posted 27 days ago


Job description

Data Engineer Banking (2-3 Years Experience)

Company: AaraTech Inc

About the Role

0AaraTech Inc is seeking a Data Engineer Banking to support data pipelines and analytics platforms for financial systems. This role focuses on ingesting, transforming, and validating banking and transaction data. You will collaborate with analytics teams to support reporting and compliance needs. Ideal for early-career data professionals.

Key Responsibilities
  • Support ETL / ELT data pipelines
  • Write SQL queries and basic Python scripts
  • Assist with data ingestion and transformation
  • Perform data quality checks
  • Support data warehouse activities
  • Collaborate with BI teams
  • Maintain technical documentation
Required Qualifications
  • 2-3 years of experience in data engineering or analytics
  • Strong SQL skills
  • Basic Python knowledge
  • Understanding of ETL concepts
  • Exposure to cloud platforms
  • Analytical mindset
  • Good communication skills
Skills

SQL, Python Basics, Data Engineering Fundamentals, ETL / ELT Pipelines, Banking & Financial Data, Transaction Data Processing, Data Warehousing Concepts, AWS Basics, Data Quality, Data Validation, Compliance Awareness, Documentation, Collaboration with BI Teams