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DATA MANAGEMENT ENGINEER – Full Stack

Pittsburgh, PA, United States

Live, first seen by us 79 days ago
Pay
Pay not listedSimilar roles state $127K–$190K
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting
  • Develop and implement robust data pipelines using Spark

  • Translate business requirements into ETL/ELT logical models

  • Design, construct, and maintain CI/CD pipelines across test environments

  • Provide ongoing maintenance, support and enhancements in existing systems

  • Establish optimal data flows for system integration and data migration

From the employer’s posting
Develop and implement robust data pipelines using Spark.
Translate business requirements into ETL/ELT logical models
Design, construct, and maintain CI/CD pipelines across multiple integration and test environments.
Provide ongoing maintenance, support and enhancements in existing systems and platforms.
Establish optimal data flows for system integration and data migration.

What you’ll bring

All qualifications

Core experience

  • 2-6 years of software development experience
  • Bachelor's degree in computer science or related field, or equivalent experience
  • Hands-on experience with SQL, Python, Java, Spark and Power BI
  • Experience with Airflow or Control-M orchestration tools
  • Experience with relational databases such as Oracle, Snowflake or SQL Server
Qualification wording
2-6 years of experience in software development required
Bachelor's degree in computer science engineering or a related discipline, or equivalent work experience required
In-depth knowledge and hands-on experience with SQL, Python, Java, Spark and reporting tools like Power Bi.
automating workflows through orchestration tools such as Airflow and Control-M
Oracle, Snowflake, SQL Server or any other relational database experience necessary.
Education & alternatives
- 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.
Apply at BNY Mellon

Posting record

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Status in our records
Live
First seen by us
Aug 18, 202679 days ago
Recorded sightings
156
Last seen by us
Nov 5, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$127K–$190K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 2,133 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 79

Up longer than most. Similar jobs usually come down between day 6 and day 54.

Well past BNY Mellon’s usual: its jobs come down by about day 26.

From 11,184 similar postings that came down, and 94 of BNY Mellon’s. Coming down is not always a hire.

BNY Mellon is hiring

63 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring has slowed
  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Java
  • Python
  • SQL
  • Azure
  • Hadoop
  • Hive
  • Kubernetes
  • Oracle
  • Power BI
  • Snowflake
  • Spark
  • SQL Server
  • Airflow
Where the posting names them
- 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.
- 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.
- Comprehensive experience in building and managing CI/CD pipelines. - Basic understanding of Azure Cloud components. - Passion for problem solving and designing for scale.
- 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.
- 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.
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
- 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.

Your next step

Complete your application on eofe.fa.us2.oraclecloud.com. The employer’s form will show what is required.

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Already applied? Track this application

Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 839, the most 1,314, and the latest week had 1,086.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

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 Engineering team. 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.

 

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Pittsburgh, PA, United States

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