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Banking Engineer Jobs (NOW HIRING)

Celonis

Senior Value Engineer - Banking

New York, NY · On-site

$113K - $147K/yr

As a Senior Value Engineer specializing in Banking , you are at the forefront of solving business-critical problems for some of the world's largest financial institutions. You will work intimately ...

Block

Software Engineer, Cash App Banking

New York, NY · On-site +1

As a software engineer on the Cash App Banking server engineering team, you will design, develop, and deliver new banking experiences, through close collaboration across teams and disciplines. The ...

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How much do banking engineer jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for banking engineer in the United States is $59.59, according to ZipRecruiter salary data. Most workers in this role earn between $51.92 and $66.35 per hour, depending on experience, location, and employer.

What is the difference between Banking Engineer vs Banking Analyst?

AspectBanking EngineerBanking Analyst
Required CredentialsBachelor's in finance, engineering, or related field; certifications like CFA or FRM beneficialBachelor's in finance, economics, or related field; CFA often preferred
Work EnvironmentFinancial institutions, banks, or fintech companies; focus on technical systems and infrastructureBank branches, investment firms, or corporate finance departments; focus on data analysis and market research
Employer & Industry UsageUsed by banks and financial tech firms for system development and risk managementCommonly employed in banks and investment firms for market analysis and reporting

While both roles operate within the banking industry, Banking Engineers focus on technical systems, infrastructure, and risk management, often requiring engineering or technical certifications. Banking Analysts primarily analyze financial data, market trends, and support decision-making processes. Understanding these differences helps job seekers identify the right career path based on their skills and interests.

What engineers make $500,000?

Senior engineering roles in fields such as software, aerospace, and petroleum engineering can reach or exceed $500,000 annually, especially with experience, advanced skills, and leadership responsibilities. High compensation often includes base salary, bonuses, and stock options, particularly in technology and energy sectors.

What engineers make $300,000 a year?

Senior banking engineers, especially those with extensive experience, specialized skills in financial systems, and advanced certifications, can earn $300,000 or more annually. High compensation often depends on the complexity of the role, the size of the institution, and geographic location, with some roles in investment banking technology or financial infrastructure reaching this level.

What are the key skills and qualifications needed to thrive as a Banking Engineer, and why are they important?

To thrive as a Banking Engineer, you need a solid background in computer science, software development, and financial systems, often supported by a relevant degree. Familiarity with core banking platforms, programming languages such as Java or Python, and certifications like AWS or Microsoft Azure are typically important. Strong analytical thinking, problem-solving abilities, and effective communication distinguish top performers in this role. These skills are crucial for developing secure, reliable, and scalable banking solutions that meet regulatory and customer demands.

What does a bank engineer do?

A banking engineer designs and maintains the technological systems used by banks, including software for transactions, security, and data management. They often work with IT tools, coding languages, and cybersecurity measures to ensure efficient and secure banking operations.

What is a banking engineer?

A banking engineer is a technology professional who designs, develops, and maintains software systems and infrastructure used by banks and financial institutions. They work on creating secure and efficient solutions for online banking, payment processing, risk management, and regulatory compliance. Banking engineers often collaborate with other IT specialists and business analysts to ensure that banking systems are robust, scalable, and meet industry standards. Their work is critical for the smooth operation and modernization of banking services.

What are common challenges Banking Engineers face when integrating new technologies into legacy banking systems?

Banking Engineers often encounter challenges when implementing new technologies into existing legacy systems, such as ensuring compatibility, maintaining data security, and minimizing disruptions to critical banking services. These systems can be complex and built on outdated frameworks, requiring careful planning and testing to avoid service interruptions. Effective collaboration with cross-functional teams—including operations, compliance, and cybersecurity—is essential to successfully manage integrations and maintain regulatory compliance.

Which is the highest paid job in banking?

In banking, senior executive roles such as Chief Executive Officer (CEO), Chief Financial Officer (CFO), and Chief Risk Officer (CRO) tend to be the highest paid, often earning multi-million dollar compensation packages including bonuses and stock options. These positions require extensive experience, leadership skills, and advanced financial knowledge, and they oversee strategic decision-making at the highest levels of financial institutions.
What states have the most Banking Engineer jobs? States with the most job openings for Banking Engineer jobs include:
What job categories do people searching Banking Engineer jobs look for? The top searched job categories for Banking Engineer jobs are:
Banking Engineer jobs near you

Senior Banking Data Engineer

washingtontrust

Westerly, RI • Hybrid

$95/hr

Other

Posted yesterday

Job description

Washington Trust is seeking an accomplished and forwardthinking Senior Banking Data Engineer to support and advance the organization’s enterprisewide data and analytics capabilities. As a key member of our Management Information Systems (MIS) function, the Senior Banking Data Engineer will design, build, and modernize scalable data platforms that power decisionmaking across all business lines and corporate functions.

This role serves as a technical leader and trusted partner to stakeholders throughout the enterprise, driving the evolution of our cloudbased data environment, ensuring data quality and governance, and enabling advanced analytics, reporting, and business intelligence solutions. The Senior Banking Data Engineer will play a critical role in shaping Washington Trust’s data architecture strategy, mentoring team members, and delivering innovative solutions that support operational excellence, customer insights, and enterprise performance.

This is a hybrid position with periodic on-site work in our office in Westerly, RI.

Key Responsibilities
  • Serve as the primary architect and builder of Washington Trust’s modern data ecosystem, establishing the foundational patterns, standards, and frameworks for all future data engineering initiatives.
  • Act as the technical authority for data engineering, providing architectural direction and influencing data strategy across technology and business teams.
  • Lead modernization initiatives using Azure Data Services and Microsoft Fabric.
  • Architect, implement, and maintain scalable data models, data lakes, data warehouses, and semantic layers that support enterprise data needs.
  • Design, develop, and optimize endtoend data ingestion, transformation, and integration pipelines spanning multiple business domains.
  • Collaborate with leaders and teams across the organization to understand data needs and translate business requirements into robust technical solutions.
  • Champion a dataproduct mindset, creating reusable, governed, and welldocumented data assets that support analytics, risk, finance, and operations.
  • Develop and deploy high-performing, maintainable code using SQL, TSQL, Python.
  • Implement Continuous Integration / Continuous Deployment pipelines and DevOps best practices to improve efficiency, reliability, and automation across data environments.
  • Champion data quality by implementing standardized validation rules, lineage tracking, and monitoring frameworks.
  • Develop, support, and enhance enterprise data visualization and reporting solutions using Power BI, including dataset creation, semantic modeling, and dashboard optimization.
  • Collaborate with Enterprise Risk & Technology teams to uphold data standards, regulatory expectations and protection protocols.
  • Enforce change management protocols, ensuring deployments, enhancements and modifications follow approval workflows, documentation standards, testing processes and compliance requirements.
  • Mentor analysts, developers, and data users to elevate data literacy and engineering practices enterprisewide.
Education
  • Bachelor’s degree in computer science, data science, information technology, or a related field.
  • Master’s degree or relevant certifications (Azure, Data Engineering, Cloud Architecture) is a plus.
Technology Experience
  • 7+ years of progressive data engineering experience, preferably in banking, financial services, or regulated industries.
  • Deep expertise in Azure data services (ADF, Synapse, ADLS, Azure SQL) and strong familiarity with Microsoft Fabric.
  • Proven experience designing and integrating APIs, Logic Apps, Functions, SaaS systems, and modern cloud data architectures.
  • Advanced proficiency in SQL/TSQL and Python for data engineering, automation, and analytics.
  • Strong understanding of data modeling (dimensional, relational, domaindriven), warehousing concepts, and performance optimization.
  • Experience delivering enterprise BI solutions using Power BI, including models, datasets, and governance layers.
  • Background with DevOps practices including automated builds, testing, and deployments.
Qualifications
  • Demonstrated ability to translate complex enterprise data needs into scalable architecture and efficient engineering solutions.
  • Strong knowledge of data governance, metadata management, data lineage, and data quality frameworks.
  • Familiarity with AI/Machine Learning concepts and cloudenabled analytics tools (Azure ML, Fabric Data Science experiences).
  • Exceptional problemsolving, analytical, and criticalthinking abilities.
  • Effective communicator capable of engaging with executives, technical teams, and diverse business stakeholders.
  • Collaborative leader with an ownership mindset and a passion for innovation and continuous improvement.
  • Comfortable operating in a fastpaced, evolving environment where enterprise data capabilities are growing rapidly.

Compensation: A goodfaith, reasonable estimate of the base salary range for this role is $165,000 to $195,000 per year and the actual offer will depend on factors such as experience, skills, training, certifications, and education.

This base salary reflects one component of our competitive compensation package. This position may be eligible for an annual bonus and includes a comprehensive benefits package.

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