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BNY

DATA MANAGEMENT ENGINEER - Full Stack

Pittsburgh, PA · On-site

DATA MANAGEMENT ENGINEER - Full Stack At BNY, our culture allows us to run our company better and enables employees' growth and success. As a leading global financial services company at the heart of ...

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Data Management Engineer information

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$44.5K

$129.7K

$177.5K

How much do data management engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for data management engineer 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 is a data management engineer?

Data Management Engineers are professionals responsible for designing, implementing, and maintaining systems that manage and organize data within an organization. They ensure data is stored securely, is easily accessible, and meets quality standards. Their work often involves database management, data integration, data migration, and implementing data governance policies. These engineers collaborate with data analysts, data scientists, and IT teams to support business data needs and ensure data reliability.

How does a data management engineer typically interact with data scientists and analysts within an organization?

Data Management Engineers play a critical role in ensuring that data scientists and analysts have access to clean, reliable, and well-organized data. They collaborate closely with these teams to understand data requirements, build data pipelines, and implement data governance protocols. By facilitating efficient data access and resolving data quality issues, Data Management Engineers enable analytical teams to focus on extracting insights rather than handling data wrangling tasks. Regular communication and cross-functional meetings are common, fostering a collaborative environment aimed at maximizing data value across the organization.

What are the key skills and qualifications needed to thrive as a data management engineer, and why are they important?

To thrive as a Data Management Engineer, you need strong expertise in data modeling, database design, and data governance, typically supported by a degree in computer science or a related field. Familiarity with SQL, ETL tools, data warehousing platforms, and certifications like CDMP or AWS Certified Data Analytics are often required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills that set top performers apart. These skills and qualifications ensure data integrity, enable efficient data processing, and support the organization's ability to make data-driven decisions.

What is the difference between Data Management Engineer vs Data Analyst?

AspectData Management EngineerData Analyst
Primary FocusDesigning, implementing, and maintaining data systems and pipelinesAnalyzing data to generate insights and reports
Skills & CertificationsDatabase management, SQL, data warehousing, ETL toolsData visualization, statistical analysis, SQL, Excel
Work EnvironmentData engineering teams, IT departments, cloud platformsBusiness units, marketing, finance teams
Industry UsageTech, finance, healthcare, any data-driven industryMarketing, sales, finance, business intelligence

While both roles work with data, Data Management Engineers focus on building and maintaining data infrastructure, whereas Data Analysts interpret data to support decision-making. They often collaborate but serve different functions within organizations.

Is a data management engineer a high paying job?

Data management engineers typically earn competitive salaries due to their specialized skills in database systems, data architecture, and data governance. Compensation varies based on experience, location, and industry, but the role is generally considered well-paying within the tech and data fields.
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Cities with the most Data Management Engineer job openings:

What states have the most Data Management Engineer jobs?

States with the most job openings for Data Management Engineer jobs include:

What job categories do people searching Data Management Engineer jobs look for?

The top searched job categories for Data Management Engineer jobs are:

Data Management Engineer jobs near you
Infographic showing various Data Management Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

DATA MANAGEMENT ENGINEER - Full Stack

BNY

Pittsburgh, PA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

Job description

DATA MANAGEMENT ENGINEER - Full Stack

At BNY, our culture allows us to run our company better and enables employees' growth and success.As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world's investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.

Recognized as a top destination for innovators and champions of inclusion, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance - and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.

We're seeking a future team member for the role of Vice President, Data Management Engineer to join our Finance Platform's Client Profitability Engineeringteam. This role is in Pittsburgh, PA.

In this role, you'll make an impact in the following ways:

  • Translate business requirements into ETL/ELT logical models, ensuring data structures are designed for scalability and flexibility to support evolving business solutions.
  • Develop and implement robust data pipelines using Spark. Design and code programs, create test transactions and write documentation that describes installation and operating procedures.
  • Define and deliver reusable components within the ETL/ELT framework.
  • Establish optimal data flows for system integration and data migration.
  • Integrate emerging data management technologies and software engineering tools into existing architectures. Apply security and privacy principles.
  • Design, construct, and maintain CI/CD pipelines across multiple integration and test environments.
  • Install, configure, and manage automated testing tools within the environment.
  • Utilize AI based development / vibe coding (e.g. Windsurf, Codex) and techniques to develop solutions
  • Knowledge and experience building agents and agentic solutions.
  • Participate in deployment process following all change controls. Provide ongoing maintenance, support and enhancements in existing systems and platforms. Provide recommendations for continuous improvement.
  • Work alongside other engineers on the team to elevate technology and consistently apply best practices.
  • Collaborate closely with all the other members of the team to take shared responsibility for the overall efforts that the team commits to.

  • Collaborate cross-functionally with full-stack engineers, business users, project managers and other engineers to achieve elegant solutions.

To be successful in this role, we're seeking the following:

  • Proven experience in the design, development, and implementation of large-scale projects within financial industries, utilizing Data Warehousing ETL tools (including Spark).
  • Bachelor's degree in computer science engineering or a related discipline, or equivalent work experience required2-6 years of experience in software development required; experience in the securities or financial services industry is a plus
  • Proficient in creating ETL transformations and jobs with Spark and automating workflows through orchestration tools such as Airflow and Control-M.
  • In-depth knowledge and hands-on experience with SQL, Python, Java, Spark and reporting tools like Power Bi.
  • Oracle, Snowflake, SQL Server or any other relational database experience necessary.
  • Familiarity with Big Data and distributed frameworks including Spark, Kubernetes, Hadoop, and Hive.
  • Experience working with APIs to create, test and manage APIs for inter-process communication.
  • Adopt AI-first software development practices.
  • Experience leveraging AI tools (e.g., GitHub Copilot, Cursor, Windsurf, or similar LLM-based assistants) to accelerate daily development tasks such as code generation, debugging, code review, building unit tests and documentation.
  • Ability to design ETL/ELT solutions tailored to user reporting and archival needs.
  • Demonstrated commitment to delivering excellent customer service and effectively addressing client requirements.
  • Self-motivated and capable of working independently with minimal supervision.
  • Comprehensive experience in building and managing CI/CD pipelines.
  • Basic understanding of Azure Cloud components.
  • Passion for problem solving and designing for scale.
  • Experience following best practices of design, development, testing and release management.
  • Good understanding of monitoring tools such as AppDynamics, Splunk & Moogsoft.


At BNY, our culture speaks for itself, check out the latest BNY news at:

BNY Newsroom

BNY LinkedIn

Here's a few of our recent awards:

  • America's Most Innovative Companies, Fortune, 2025
  • World's Most Admired Companies, Fortune 2025
  • "Most Just Companies", Just Capital and CNBC, 2025


Our Benefits and Rewards:

BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life's journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.

BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.

At BNY, our culture allows us to run our company better and enables employees' growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world's investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.

Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance - and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.

At BNY, our culture speaks for itself, check out the latest BNY news at BNY Newsroom & BNY LinkedIn

 Here's a few of our recent awards:

  • America's Most Innovative Companies, Fortune, 2025
  • World's Most Admired Companies, Fortune 2025
  • "Most Just Companies", Just Capital and CNBC, 2025

    Our Benefits and Rewards:

    BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life's journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.

    BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.

    BNY assesses market data to ensure a competitive compensation package for our employees. The expected base salary for this position when employment commences can be found in the Job Info section at the bottom of the posting. 

    Base salary offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. Base salary is only part of the total rewards package, which may include eligibility for an annual discretionary incentive award. Subject to the terms and conditions of the applicable plans then in effect, eligible employees may enroll in a 401(k) plan as well as participate in Company-sponsored medical, dental, vision, and basic life insurance plans for the employee and the employee's eligible dependents. Eligible employees also may receive other benefits (including various paid time off benefits, such as vacation and sick time), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

    If hired, the employee will be in an "at will" position and the Company reserves the right to modify base salary (as well as any other discretionary payments or compensation programs) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

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