Lead Data Engineer

Overview 

Nasdaq Data Link (https://data.nasdaq.com) is transforming how business decisions are made.  

Data is the most important resource of the 21st century, and Data Link is at the heart of the emerging data economy. Over the last decade, we’ve built the world’s largest and most successful data marketplace: a platform where over 400,000 professionals buy, sell, create, and consume data. Data Link today is used by everybody from academics to AIs; from two-person fintech start-ups to billion-dollar hedge funds.  

Technology is at the heart of what we do at Data Link, and our sophisticated data acquisition, discovery, and delivery infrastructure is the foundation of our success. We are currently seeking a Lead Data Engineering to help us design, build, extend and improve the platform. 

Job Description 

Responsibilities and Duties  

At Nasdaq Data Link, the Data Operations and Engineering (DOPE) division is responsible for the millions of datasets that our users consume every day. 

As part of Data Engineering Services team in DOPE, you will contribute to building ingestion pipelines that clean, transform, and load alternative, core and internal Nasdaq datasets into Nasdaq Data Link. You will help structure large quantities of unstructured and semi-structured data through a combination of organized analytical thinking, technical data wrangling and precise documentation. You will work to ensure completeness, accuracy, timeliness, and reliability of the data. 

Specifically, you will: 

• Design, implement and support components of our data platform with a strong emphasis on data onboarding and automation 

• Automate data ingestion from various sources  

• Automate data processing, transformation and quality checks 

• Work with various data systems to write distributed data pipelines, and orchestrate real- time & batch processing 

• Participate in and champion the team’s code review process, promoting a collaborative, respectful review culture that prioritizes maintainable data pipelines and best practices 

Qualifications and Skills 

The ideal candidate will:  

• Have at least 6 years of professional experience in a software/data engineering role 

• Be able to write high-quality, well-documented, high-performance code 

• Be eager to learn new technologies and best practices in data engineering by working with a world-class data team  

• Have a working knowledge of one or more programming languages: Python (required), Java, SQL 

• Have working knowledge of Docker 

• Have working knowledge of Git 

• Have working knowledge of AWS cloud services like S3, EC2, ECS 

• Have working knowledge of using the command line, utilities in Bash/zsh, and interacting with cloud resources without a GUI/web-based interface. 

• Be familiar with parallel processing frameworks, orchestration and scheduling tools, and distributed data systems such as Databricks. 

• Be entrepreneurial and enthusiastic about working in a fast-paced environment  

• Be able to communicate and write concisely and clearly in English 

• Have a Bachelor of Computer Science/Engineering or equivalent degree, or have equivalent qualifications/experience 

• Databricks Certified Data Engineering Associate or Professional certifications are a plus 

Our Company Culture 

We operate as a tight knit group focusing on our product and mission to build the world’s leading marketplace for financial, economic, and alternative data. We also collaborate with other parts of the organization as the platform evolves into the de-facto Data delivery platform for Nasdaq and beyond.  

Our small-group environment means that we are small enough for you to make a difference; at the same time, Nasdaq’s support and scale makes us big enough for your work to have a meaningful impact for our customers and the industry.  

Benefits and Perks  

We offer: 

• A competitive salary, vacation and incentives such as Bonus, RRSP matching, and RSUs  

• Interesting and meaningful problems to work on  

• Colleagues who are smart, motivated, talented and a pleasure to work with  

• Health benefits for yourself and your family  

• Flexible office hours, WFH 

• A beautiful office located right beside public transportation filled with views & perks 

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.