As a Senior Data Engineer reporting to the Director of Data Science youll play a critical role in building and scaling innovative data products that power some of the worlds most successful financial organizations from traditional market data to cutting-edge alternative data sources.
Youll thrive in this position if youre curious data-driven and collaborative with a passion for financial technology and a drive to deliver reliable high-quality solutions in a fast-moving environment.
Key Responsibilities
Design build and maintain scalable data pipelines covering ingestion transformation enrichment and delivery of financial and alternative datasets.
Partner with Data Science Product Management and Engineering teams to develop and launch new data products.
Ensure the quality accuracy timeliness and completeness of data products through robust monitoring and quality frameworks.
Contribute to the onboarding of new data sources including exchange data and non-traditional alternative data (e.g. satellite imagery consumer transactions).
Support continuous improvement of existing data products and infrastructure to enhance performance and reliability.
Required Qualifications
Bachelors degree in Computer Science Engineering or a related STEM field or equivalent practical experience.
24 years of experience in data engineering with hands-on proficiency in Python SQL PySpark/Spark Java and shell scripting.
Experience working with cloud and big data platforms such as AWS (S3/EC2) and Databricks in a Linux environment.
Solid understanding of version control practices using Git or equivalent tools.
Strong communicator with the ability to collaborate effectively across technical and non-technical teams.
Preferred Qualifications
Proven knowledge of financial markets data including equities pricing volumes and fundamentals.
Experience building or maintaining financial data products in a production environment.
Familiarity Kafka in a data engineering context.
This position will be located in Toronto 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 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
Were 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 Nasdaqs overall success.
The base pay range for this role is $75000 - $103000. In addition to base salary Nasdaq provides a generous annual bonus/commission (short-term incentive) and equity (long-term incentive) comprehensive 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.
Required Experience:
Senior IC
As a Senior Data Engineer reporting to the Director of Data Science youll play a critical role in building and scaling innovative data products that power some of the worlds most successful financial organizations from traditional market data to cutting-edge alternative data sources.Youll thrive in...
As a Senior Data Engineer reporting to the Director of Data Science youll play a critical role in building and scaling innovative data products that power some of the worlds most successful financial organizations from traditional market data to cutting-edge alternative data sources.
Youll thrive in this position if youre curious data-driven and collaborative with a passion for financial technology and a drive to deliver reliable high-quality solutions in a fast-moving environment.
Key Responsibilities
Design build and maintain scalable data pipelines covering ingestion transformation enrichment and delivery of financial and alternative datasets.
Partner with Data Science Product Management and Engineering teams to develop and launch new data products.
Ensure the quality accuracy timeliness and completeness of data products through robust monitoring and quality frameworks.
Contribute to the onboarding of new data sources including exchange data and non-traditional alternative data (e.g. satellite imagery consumer transactions).
Support continuous improvement of existing data products and infrastructure to enhance performance and reliability.
Required Qualifications
Bachelors degree in Computer Science Engineering or a related STEM field or equivalent practical experience.
24 years of experience in data engineering with hands-on proficiency in Python SQL PySpark/Spark Java and shell scripting.
Experience working with cloud and big data platforms such as AWS (S3/EC2) and Databricks in a Linux environment.
Solid understanding of version control practices using Git or equivalent tools.
Strong communicator with the ability to collaborate effectively across technical and non-technical teams.
Preferred Qualifications
Proven knowledge of financial markets data including equities pricing volumes and fundamentals.
Experience building or maintaining financial data products in a production environment.
Familiarity Kafka in a data engineering context.
This position will be located in Toronto 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 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
Were 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 Nasdaqs overall success.
The base pay range for this role is $75000 - $103000. In addition to base salary Nasdaq provides a generous annual bonus/commission (short-term incentive) and equity (long-term incentive) comprehensive 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.
Required Experience:
Senior IC
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