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.
Pittsburgh, PA, United States
Live, first seen by us 79 days agoEmployment type in the employer’s posting: Full timeFrom 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 test environments
Provide ongoing maintenance, support and enhancements in existing systems
Establish optimal data flows for system integration and data migration
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.
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.
- 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.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$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.
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.
63 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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.
- 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.
Complete your application on eofe.fa.us2.oraclecloud.com. The employer’s form will show what is required.
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New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
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.
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.
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.
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:
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:
At BNY, our culture speaks for itself, check out the latest BNY news at:
Here’s a few of our recent awards:
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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