Data Software Engineer

Primarily responsible for taking the defined business requirements and providing analytical, modeling, dimensional modeling, and testing to provide the best outcomes for design against the stakeholder requirements. The analysis concentrates on understanding the business needs for data and information. The data engineer translates business information needs into data structures that are adaptable, extensible, and sustainable. Responsibilities involve creating strategies for data collection, storage, and analysis, ensuring data quality, and developing tools and frameworks for data processing and visualization.

• Responsible for identifying, analyzing, and resolving technical problems for the North American Markets Systems (NAMS) Data platform and related ecosystems.
• Require designing and developing data models to ensure data quality, consistency, and integrity throughout the data lifecycle. The engineer will design and implement ETL processes to integrate data from various sources and maintain documentation for the data models and ETL processes.
• Manages the overall process and dependencies of all jobs and monitors the corrective actions taken.
• Develops technical and operational standards, procedures, and technical documents.
• Proactively keeps knowledge and skills up-to-date and contributes to the Data Engineering knowledge base.
• Actively works towards ensuring the project is being delivered within the assigned timeline.

• Education Required: Degree qualified in a discipline related to Computer Science, Information Systems, or equivalent work experience.
• Experience Required: 2+ years of professional experience in analyzing and developing ETL applications.
• Must have qualifications: in depth knowledge of SQL, relational databases, and data warehouse architectures, proficiency in working with Data Build Tool, hands-on data analytics and data validation experience, working knowledge of at least one or more programming/scripting languages such as Python, Java, etc. & at least one or more operation system such as Linux/Unix, etc. Cloud platforms including AWS - RDS, S3, Lambda, SNS, SQS, QuickSight
• Experience using next-gen tools and technologies such as Databricks, R, Spark, Tableau, Pentaho, etc.
• Demonstrate ability to write, optimize and troubleshoot complex SQL queries to retrieve, analyze and transform large volumes of data and analyzing the data to ensure high quality.
• Excellent communication, analytical and problem solving skills with the ability to collaborate in a team environment or work independently.
• Experience working with business analysts, database administrators, project managers and technical architects in multiple geographical areas.
• Comfortable working within agile development framework.
• Familiarity with data governance tooling such as Monte Carlo, Atlan.
• Financial market development background is a plus.

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.

Come as You Are

Nasdaq is an equal opportunity employer. We positively encourage applications from suitably qualified and eligible candidates regardless of age, color, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information, or any other status protected by applicable law.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

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 boncommissions 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