Principal, Full Stack Engineer

Job Description:

The Role

Fidelity’s Asset Management Technology (AMT) provides worldwide technology and support to all the Investment Management, Research, Trading, and Investment Operations functions. We are seeking a Principal Quant Full Stack Engineer to join our Quantitative Research & Investing Technology organization. This role will be part of our Quantitative Data Engineering team, which is responsible for architecting, developing, and maintaining a high-quality data platform that is optimized for quant consumption.

If you are a highly motivated and expert data engineer with a strong agile mindset, who’s looking for a new challenge, we have an exciting opportunity for you to join our fast paced and highly collaborative group. This role will be involved in the full end-to-end process through planning, design, development, quality and implementation of solutions.

Primary Location: Merrimack, NH

Additional Locations: Boston, MA, Jersey City, NJ

The Expertise and Skills You Bring

• 7 or more years of industry experience as a Database engineer and developer.
• B.S. degree in math, statistics, computer science, or equivalent technical field.
• Experience in building and designing solutions for data warehouse and experience in working with large data sets
• Strong database knowledge and proven experience with data analysis and database design for operational, transactional systems.
• Experience in building solutions using Python and experience in working with large data sets
• Experience with Cloud data storage and access using Snowflake / S3
• Strong software engineering skills, preferably PLSQL, Python, shell scripting, SQL, and Linux.
• Validated knowledge of ETL tools and data warehouse concepts.
• Expertise in native AWS services such as EMR, EC2 and Cloud formation will be a plus

• You have a strong background with enterprise development and a consistent record rapidly bring projects from inception to delivery in ambitious timeframes.

• Using Python and RDBMS, SQL, PL/SQL.

  You have solid experience in Python and libraries such as Pandas / Numpy, etc. or Spark.

• You are familiar with extracting data from REST APIs.

The Team
 

Quantitative Data Platform team is part of Asset Management’s Quantitative Research & Investment Technology group that partners with the Quantitative Research & Investment teams on various projects including portfolio construction, risk management, and alpha research. We build high quality, robust, and efficient highly-responsive solutions that are used to improve efficiency and decision making.
 

The base salary range for this position is $85,000-$179,000 per year.  

Placement in the range will vary based on job responsibilities and scope, geographic location, candidate’s relevant experience, and other factors.

Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.   

We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home.  These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career.  Note, the application window closes when the position is filled or unposted.

Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

Fidelity’s hybrid working model blends the best of both onsite and offsite work experiences. Working onsite is important for our business strategy and our culture. We also value the benefits that working offsite offers associates. Most hybrid roles require associates to work onsite every other week (all business days, M-F) in a Fidelity office.

Certifications:

Category:Information Technology