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Data Engineer In Bank Jobs (NOW HIRING)

Bridge Core (BCore)

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

Are you interested in helping to protect our nation's cyber interests? Join our growing team supporting customer missions as a Data Engineer in Herndon, Virginia . Responsibilities As a Data Engineer ...

Capital One

Lead Data Engineer (Bank Tech)

Mclean, VA · On-site

Lead Data Engineer (Bank Tech) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative ...

IT America Inc

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

The ideal candidate will have a strong background in building scalable data pipelines, modern cloud ... Prior exposure to financial services, banking, or credit domain is highly desirable. Nice-to-Have ...

IDC Technologies

Data Engineer in Sunnyvale CA

Sunnyvale, CA

$134K - $161K/yr

Python , Data Engineering Nice to have : Docker , Kuebernetes Looking for experienced Python engineers with a background in data engineering. Should be familiar with modern data platforms like Apache ...

Keylent Inc

Azure Data Engineer

Jersey City, NJ · On-site

$119K - $143K/yr

Actively participate in code reviews, test plans and test data reviews. Work with other engineers on the team to elevate technology and consistently apply best practices. Perform ad-hoc data queries ...

Bridge Core (BCore)

Data Engineer

Herndon, VA · Hybrid

$117K - $141K/yr

Are you interested in helping to protect our nation's cyber interests? Join our growing team supporting customer missions as a Data Engineer in Herndon, Virginia . Responsibilities As a Data Engineer ...

Bridge Core (BCore)

Data Engineer

Herndon, VA · Hybrid

$117K - $141K/yr

Are you interested in helping to protect our nation's cyber interests? Join our growing team supporting customer missions as a Data Engineer in Herndon, Virginia . Responsibilities As a Data Engineer ...

Inficare Technologies

Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Certifications in cloud platform (GCP Professional Data Engineer) is a plus. * Provide engineering expertise to the team for developing features for Banking including Financial Crimes, Anti-money ...

ComResource

Data Engineer

Cincinnati, OH

$109K - $131K/yr

We need someone to assist in calculating FDIC insurance at the customer and bank levels using traditional and modern data engineering tools. This role requires a technical professional who can also ...

Kforce Technology Staffing

Data Engineer

Juno Beach, FL · On-site

$111K - $134K/yr

Kforce has a client that is seeking a Data Engineer in Juno Beach, FL. Key Responsibilities: * Clean, preprocess, and transform structured and unstructured data using Python * Data Engineer will ...

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All JobsData Engineer In Bank Jobs

Data Engineer In Bank information

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$44.5K

$129.7K

$177.5K

How much do data engineer in bank jobs pay per year?

As of Jun 25, 2026, the average yearly pay for data engineer in bank in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What do data engineers do in banks?

Data engineers in banks design, build, and maintain data pipelines and infrastructure to ensure secure and efficient data flow. They work with large datasets, use tools like SQL and cloud platforms, and support data analysis and reporting for risk management, compliance, and decision-making.

What engineers make $500,000?

Senior data engineers, especially those with extensive experience, advanced skills in big data tools, and certifications, can earn $500,000 or more annually. High compensation is often associated with roles in large organizations, specialized expertise, and leadership positions such as data engineering managers or architects.

How much does a data engineer make at US Bank?

A data engineer at US Bank typically earns between $80,000 and $130,000 annually, depending on experience, location, and certifications. Salaries may also vary based on the complexity of data systems and the use of tools like SQL, Python, or cloud platforms.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data processing and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise in tools like SQL, Python, and cloud platforms remains critical for managing data workflows effectively.

Analyst, Information Technology (Data Engineer)

Oriental Bank

Charlotte, NC • Hybrid

$111K - $134K/yr

Full-time

Posted 9 days ago

Job description

OFG Bancorp is looking for an experienced Mid-Level Data Engineer to design, build, and operate scalable data pipelines and data platforms supporting banking and financial services data domains, including customer, account, transaction, and product data.
This role operates within a regulated financial services environment and partners closely with data architecture, analytics, risk, and technology teams to deliver secure, reliable, and analytics ready data products using Snowflake and AWS. Position works hybrid and reports to San Juan, PR.

MAIN DUTIES & RESPONSIBILITIES:

  • Design, develop, and maintain ELT/ETL pipelines for batch and eventdriven data ingestion using Snowflake and AWS.
  • Engineer and optimize Snowflake data models (tables, views, secure data shares) to support analytics, reporting, and downstream consumption.
  • Develop scalable data processing solutions using SQL and Python.
  • Integrate with AWS services such as S3, Lambda, Glue, and IAM to support data ingestion, processing, and access management.
  • Build and maintain pipelines handling financial transactions and customer data, ensuring accuracy, completeness, and auditability.
  • Apply data quality checks, reconciliation logic, and monitoring appropriate for regulated financial data.
  • Partner with data architects to align pipelines with enterprise data models, standards, and governance expectations.
  • Support production deployments using Gitbased version control, CI/CD pipelines, and infrastructureascode practices.
  • Collaborate in Agile delivery teams, contributing to sprint planning, design reviews, and technical documentation.
  • Other duties may be assigned.

MINIMUM REQUIREMENTS:

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field required.
  • Three (3)+ years of professional experience in Data Engineering or a related role required.
  • Minimum education and experience required can be substituted with the equivalent combination of education, training and experience that provides the required knowledge skills and abilities.
  • Strong handson experience with Snowflake, including data ingestion, transformations, and performance optimization.
  • Experience working within AWS cloud environments, particularly with S3 and serverless services.
  • Advanced SQL skills and experience working with large, complex datasets.
  • Proficiency in Python for data processing and pipeline automation.
  • Experience with modern data engineering tools and frameworks (e.g., dbt, Airflow, Spark/PySpark, or equivalent).
  • Familiarity with Git, CI/CD practices, and production support workflows.

PREFERRED QUALIFICATIONS:

  • Experience working in banking, financial services, fintech, or other regulated industries, as well as financial data domains and data governance concepts.
  • Experience supporting analytics or BI tools (e.g., Tableau, Looker, Amazon QuickSight).
  • Exposure to streaming or nearrealtime data (Kafka, Kinesis, or eventdriven architectures).
  • Certifications in SnowFlake, AWS or others preferred (Databricks and dbt).

WORK AUTHORIZATION & ELEGIBILITY:

  • Legally authorized to work in the US is required. This position is of indefinite duration and requires candidates to have permanent or ongoing work authorization.
  • Employee is responsible for maintaining eligible work authorization throughout his tenure with the organization.

Oriental is an Equal Opportunity Employer (EEO/Affirmative Action for Veterans/Workers with Disabilities)

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