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Bank Data Warehousing Jobs (NOW HIRING)

DATA ENGINEER

Virginia Beach, VA · 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 ...

Data Analytics Engineer

Ogden, UT · On-site

$112K - $134K/yr

Financial Services and Commercial Banking experience is a plus Competencies: Proficient in Python and SQL * Data warehousing and modeling, including dimensional and normalized models * Tableau or ...

Actimize Data Modeler

Phoenix, AZ · On-site

$100K - $115K/yr

... data warehousing and dimensional modeling. • Ability to create source-to-target mappings and data lineage documentation. • Experience with large-scale banking data environments. Salary Range ...

Data Analytics Engineer

Ogden, UT · On-site

$112K - $134K/yr

Financial Services and Commercial Banking experience is a plus Competencies: Proficient in Python and SQL * Data warehousing and modeling, including dimensional and normalized models * Tableau or ...

Actimize Data Modeler

Phoenix, AZ · On-site

$54.25 - $70.50/hr

... warehousing and dimensional modeling. • Ability to create source-to-target mappings and data lineage documentation. • Experience with large-scale banking data environments. • Prior work ...

Data Modeler Engineer

Atlanta, GA

$52.75 - $68.25/hr

... Warehouse modernization initiatives within a banking environment. The ideal candidate should possess strong expertise in data modeling, Snowflake architecture, SQL, ETL concepts, ER modeling, SAS ...

Data Modeler Engineer

Raleigh, NC

$53.25 - $69/hr

... Warehouse modernization initiatives within a banking environment. The ideal candidate should possess strong expertise in data modeling, Snowflake architecture, SQL, ETL concepts, ER modeling, SAS ...

Data Modeler Engineer

Charlotte, NC

$53.50 - $69.25/hr

... Warehouse modernization initiatives within a banking environment. The ideal candidate should possess strong expertise in data modeling, Snowflake architecture, SQL, ETL concepts, ER modeling, SAS ...

Data Modeler

Manhattan, NY · On-site

$60.25 - $78.25/hr

Leading full-service investment banking and capital markets firm is seeking an experienced Data ... Strong knowledge of data warehousing concepts, Star/Snowflake schema, and data normalization ...

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Bank Data Warehousing information

What is the role of a data warehouse in a bank?

A bank data warehousing professional manages and maintains data warehouses that store large volumes of financial and customer data. Their role involves designing data models, ensuring data quality, and enabling efficient data retrieval for reporting, analysis, and decision-making. Skills in SQL, ETL processes, and data governance are essential for this role.

What are Bank Data Warehousing jobs?

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.

Is data warehousing a good career?

Data warehousing is a viable career option for professionals interested in managing large datasets, designing data storage solutions, and working with tools like SQL and ETL processes. It offers opportunities in finance, healthcare, and technology sectors, often requiring skills in database management, data modeling, and analytics. The field provides steady demand and potential for advancement with relevant certifications and experience.

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 are the key skills and qualifications needed to thrive in Bank Data Warehousing, and why are they important?

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.

Is data warehousing dead?

Data warehousing remains a vital part of many organizations' data management strategies, supporting business intelligence and analytics. While cloud-based solutions and real-time data processing are growing, traditional data warehouses are evolving rather than becoming obsolete, requiring skills in tools like SQL, ETL processes, and cloud platforms. Job roles in data warehousing continue to exist, often emphasizing integration with modern data architectures.

How much do data warehousing specialists make?

Data warehousing specialists typically earn between $70,000 and $120,000 annually, depending on experience, location, and certifications. Senior roles or those with expertise in tools like SQL, ETL processes, and cloud platforms can earn higher salaries.
More about Bank Data Warehousing jobs
What cities are hiring for Bank Data Warehousing jobs? Cities with the most Bank Data Warehousing job openings:
What states have the most Bank Data Warehousing jobs? States with the most job openings for Bank Data Warehousing jobs include:
Infographic showing various Bank Data Warehousing job openings in the United States as of July 2026, with employment types broken down into 88% Full Time, and 12% Part Time. Highlights an 100% In-person job distribution.

DATA ENGINEER

AaraTechnologies Inc

Virginia Beach, VA • On-site

$101K - $121K/yr

Other

Posted 27 days ago


Job description

Data Engineer Banking (2 3 Years Experience)

Company: AaraTech Inc

About the Role

AaraTech 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