Data Software Engineer
USA - Philadelphia - Pennsylvania
- 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
Before you apply
- Sponsorship
Visa sponsorship not confirmed — sponsorship source
Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; Nasdaq will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)
Read the full posting
What you’ll work on
Full postingDesign, develop and maintain Java and Scala backend applications for regulatory reporting
Build and support ETL workflows for large volumes of trading and market data
Troubleshoot production issues and implement durable long-term fixes
Turn technical and business requirements into reliable, scalable software
Partner with cross-functional teams on cloud and big data solutions
From the employer’s posting
Design, develop, and maintain Java and Scala-based backend applications that support large-scale regulatory reporting workflows.
Build, enhance, and support data processing and ETL workflows that ingest, transform, and deliver large volumes of trading and market data.
Troubleshoot production issues, identify root causes, and implement durable, long-term fixes across distributed data platforms.
Analyze technical and business requirements and translate them into reliable, scalable software solutions.
Partner with cross-functional teams to deliver high-quality solutions using cloud and big data technologies
What you’ll bring
All qualificationsCore experience
- Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related field, or equivalent practical experience.
- 2+ years of software development experience with strong programming skills in Scala or/and Java.
- Experience developing backend services, data-intensive applications, or ETL/data processing solutions.
- Experience working in SQL and Linux/Unix environments, including scripting and troubleshooting.
Preferred experience
- Experience with large-scale data processing technologies and cloud platforms, particularly AWS.
- Experience with Apache Spark, Amazon EMR, Hadoop, or other big data technologies.
- Familiarity with AI-assisted development tools that enhance engineering productivity.
Qualification wording
Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related field, or equivalent practical experience.
2+ years of software development experience with strong programming skills in Scala or/and Java.
Experience developing backend services, data-intensive applications, or ETL/data processing solutions.
Experience working in SQL and Linux/Unix environments, including scripting and troubleshooting.
Experience with large-scale data processing technologies and cloud platforms, particularly AWS.
Experience with Apache Spark, Amazon EMR, Hadoop, or other big data technologies.
Familiarity with AI-assisted development tools that enhance engineering productivity.
Tools in this posting
- Java
- Scala
- SQL
- AWS
- Hadoop
- Spark
Source — Tool mentions in context
Key Responsibilities - Design, develop, and maintain Java and Scala-based backend applications that support large-scale regulatory reporting workflows. - Analyze technical and business requirements and translate them into reliable, scalable software solutions.
- Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related field, or equivalent practical experience. - 2+ years of software development experience with strong programming skills in Scala or/and Java. - Experience developing backend services, data-intensive applications, or ETL/data processing solutions.
- Experience developing backend services, data-intensive applications, or ETL/data processing solutions. - Experience working in SQL and Linux/Unix environments, including scripting and troubleshooting. - Strong analytical and problem-solving skills, with the ability to navigate ambiguous requirements and collaborate effectively with technical stakeholders.
Preferred Qualifications - Experience with large-scale data processing technologies and cloud platforms, particularly AWS. - Experience with Apache Spark, Amazon EMR, Hadoop, or other big data technologies.
- Experience with large-scale data processing technologies and cloud platforms, particularly AWS. - Experience with Apache Spark, Amazon EMR, Hadoop, or other big data technologies. - Familiarity with AI-assisted development tools that enhance engineering productivity.
Benefits in the posting
Full benefits wording- In addition to base salary, Nasdaq offers significant other compensation (annual bonus/commissions and equity), benefits, and opportunity for growth. Exact compensation may vary based on several job-related factors that are unique to each candidate, including but not limited to: skill set, experience, education/training, business needs and market demands.
- Secure Wealth: 401(k) program with 6% employer match, Employee Stock Purchase Program with 15% discount, Student loan repayment program up to $10k, Company paid life and disability plans, Generous paid time off
- Prioritize Health: Comprehensive medical, dental and vision coverage, Health spending account with employer contribution, Paid flex days to support mental wellbeing, Gym membership discounts
- Care for Family: Hybrid home/office schedule (for most positions), Paid parental leave, Fertility benefits, Paid bereavement leave
- Grow Career: Education Assistance Program, Robust job skills training and Professional development opportunities
From the employer’s posting.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 4, 2026 · 55 days ago
- Recorded sightings
- 100
- Last seen by us
- Oct 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
Complete your application on nasdaq.wd1.myworkdayjobs.com. The employer’s form will show what is required.
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Job description
The Role
As a Senior Software Developer (Data Engineering) you'll play a critical role in building and maintaining the data solutions that power regulatory reporting across U.S. equity and options markets.
You'll thrive in this position if you're analytical, solutions-oriented, and collaborative — someone who takes ownership of complex technical problems and delivers reliable, scalable outcomes in a fast-paced environment.
Key Responsibilities
Design, develop, and maintain Java and Scala-based backend applications that support large-scale regulatory reporting workflows.
Analyze technical and business requirements and translate them into reliable, scalable software solutions.
Build, enhance, and support data processing and ETL workflows that ingest, transform, and deliver large volumes of trading and market data.
Troubleshoot production issues, identify root causes, and implement durable, long-term fixes across distributed data platforms.
Partner with cross-functional teams to deliver high-quality solutions using cloud and big data technologies
Required Qualifications
Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related field, or equivalent practical experience.
2+ years of software development experience with strong programming skills in Scala or/and Java.
Experience developing backend services, data-intensive applications, or ETL/data processing solutions.
Experience working in SQL and Linux/Unix environments, including scripting and troubleshooting.
Strong analytical and problem-solving skills, with the ability to navigate ambiguous requirements and collaborate effectively with technical stakeholders.
Preferred Qualifications
Experience with large-scale data processing technologies and cloud platforms, particularly AWS.
Experience with Apache Spark, Amazon EMR, Hadoop, or other big data technologies.
Familiarity with AI-assisted development tools that enhance engineering productivity.
Background in financial markets, regulatory reporting, or trading systems environments.
This position will be located in Philadelphia and offers the opportunity for a hybrid work environment at least 3 days a week in-office, subject to change, providing flexibility and accessibility for qualified candidates.
Please note that this posting supports our anticipated 2027 hiring plans. Candidates who move forward in the process should expect a projected start date in January 2027.
Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; Nasdaq will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)
Come as You Are
Nasdaq is an equal opportunity employer. We welcome applications from candidates of all backgrounds and identities.
We are committed to fostering an inclusive workplace where diverse perspectives, experiences, and identities are valued and celebrated.
We ensure that individuals with disabilities are provided with reasonable accommodation throughout the hiring process.
What We Offer
We’re proud to offer a competitive rewards package that is meaningful, recognizes the unique needs of our employees and their families and incentivizes employees for their contribution to Nasdaq’s overall success.
In addition to base salary, Nasdaq offers significant other compensation (annual bonus/commissions and equity), benefits, and opportunity for growth. Exact compensation may vary based on several job-related factors that are unique to each candidate, including but not limited to: skill set, experience, education/training, business needs and market demands.
Nasdaq’s programs and rewards are intended to allow our employees to:
- Secure Wealth: 401(k) program with 6% employer match, Employee Stock Purchase Program with 15% discount, Student loan repayment program up to $10k, Company paid life and disability plans, Generous paid time off
- Prioritize Health: Comprehensive medical, dental and vision coverage, Health spending account with employer contribution, Paid flex days to support mental wellbeing, Gym membership discounts
- Care for Family: Hybrid home/office schedule (for most positions), Paid parental leave, Fertility benefits, Paid bereavement leave
- Connect with Community: Company gift matching program, Employee resource groups, Paid volunteer days
- Grow Career: Education Assistance Program, Robust job skills training and Professional development opportunities
For more information, visit Nasdaq Benefits & Rewards Career page.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
USA - Philadelphia - Pennsylvania
- Background in financial markets, regulatory reporting, or trading systems environments. This position will be located in Philadelphia and offers the opportunity for a hybrid work environment at least 3 days a week in-office, subject to change, providing flexibility and accessibility for qualified candidates. Please note that this posting supports our anticipated 2027 hiring plans. Candidates who move forward in the process should expect a projected start date in January 2027.
More source context
- Prioritize Health: Comprehensive medical, dental and vision coverage, Health spending account with employer contribution, Paid flex days to support mental wellbeing, Gym membership discounts - Care for Family: Hybrid home/office schedule (for most positions), Paid parental leave, Fertility benefits, Paid bereavement leave - Connect with Community: Company gift matching program, Employee resource groups, Paid volunteer days
- Work authorization
Please note that this posting supports our anticipated 2027 hiring plans. Candidates who move forward in the process should expect a projected start date in January 2027. Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; Nasdaq will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa) Come as You Are
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