Position Description: 

Develops front-end and webservice applications using Angular. Builds sustainable Extract, Transform, Load (ETL) data pipelines and deploys Artificial Intelligence/Machine Learning (AI/ML) models using RESTful Application Programming Interfaces (APIs) to measure deployed model effectiveness. Deploys data movement solutions, applications, and data centric APIs to deliver innovative products and services. Develops ETL workflows in Oracle, Hadoop, and AWS/Snowflake using Informatica or Python to structure data for AI model training and development. Builds data webservice APIs in Java and Python to feed into productionalized models. 

Primary Responsibilities: 

Delivers high quality data solutions in a multi-developer Agile environment using coding best practices and modern Continuous Integration/Continuous Delivery (CI/CD) pipelines. 

Designs, develops, and modifies systems using data analysis and models to predict and measure outcomes and consequences of design. 

Stores, retrieves, and manipulates data for analysis of system capabilities and requirements. 

Assesses database performance utilizes management software such as Oracle. 

Modifies software to correct errors, to allow it to adapt to new hardware, or to improve its performance. 

Analyzes user needs and software requirements to determine feasibility of design within constraints. 

Develops software system tests and validation procedures, programs, and documentation. 

Education and Experience: 

Bachelor’s degree (or foreign education equivalent) in Business Analytics, Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and three (3) years of experience as a Senior Data Engineer (or closely related occupation) developing scalable data flows for AI model training in a financial services industry. 

Or, alternatively, Master’s degree (or foreign education equivalent) in Business Analytics, Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and one (1) year of experience as a Senior Data Engineer (or closely related occupation) developing scalable data flows for AI model training in a financial services industry. 

Skills and Knowledge: 

Candidate must also possess: 

Demonstrated Expertise (“DE”) developing scalable and advanced Natural Language Programming (NLP) solutions for financial documents using Python and design patterns; performing NLP development and engineering using AWS Textract, AWS Sagemaker, and Cloud Formation; and creating high-quality end-to-end solutions using NLP techniques and frameworks (NLTK). 

DE developing Cloud technologies, including AWS Lambda, to implement security practices (authentication, authorization, and secrets management) using AWS Vault, CloudWatch, CloudFormation, notification systems (SQS and SNS), and Shell Scripting (in Unix). 

DE creating UI/UX designs with Angular 10 and PrimeNg library, to develop Single-Page Applications (SPAs) using Angular components; creating visually stunning dashboards and insights for business end users to provide actionable insights, using data visualization tools -- PowerBI, Tableau, and SSIS/SSRS. 

DE building and maintaining Data Warehouse ETL jobs using Airflow; writing efficient PL/SQL code on RDS and Oracle Databases; and maintaining production and supporting business growth using customized Datadog dashboards to monitor job performance. 

#PE1M2 

Company Overview

Fidelity Investments is a privately held company with a mission to strengthen the financial well-being of our clients. We help people invest and plan for their future. We assist companies and non-profit organizations in delivering benefits to their employees. And we provide institutions and independent advisors with investment and technology solutions to help invest their own clients’ money.

Join Us

At Fidelity, you’ll find endless opportunities to build a meaningful career that positively impacts peoples’ lives, including yours. You can take advantage of flexible benefits that support you through every stage of your career, empowering you to thrive at work and at home. Honored with a Glassdoor Employees’ Choice Award, we have been recognized by our employees as a top 10 Best Place to Work in 2024. And you don’t need a finance background to succeed at Fidelity—we offer a range of opportunities for learning so you can build the career you’ve always imagined.

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 all business days of every other week in a Fidelity office.

At Fidelity, we value honesty, integrity, and the safety of our associates and customers within a heavily regulated industry. Certain roles may require candidates to go through a preliminary credit check during the screening process. Candidates who are presented with a Fidelity offer will need to go through a background investigation, detailed in this document, and may be asked to provide additional documentation as requested. This investigation includes but is not limited to a criminal, civil litigations and regulatory review, employment, education, and credit review (role dependent). These investigations will account for 7 years or more of history, depending on the role. Where permitted by federal or state law, Fidelity will also conduct a pre-employment drug screen, which will review for the following substances: Amphetamines, THC (marijuana), cocaine, opiates, phencyclidine.

We invite you to Find Your Fidelity at fidelitycareers.com.

Fidelity Investments is an equal opportunity employer. We believe that the most effective way to attract, develop and retain a diverse workforce is to build an enduring culture of inclusion and belonging.

Fidelity will reasonably accommodate applicants with disabilities who need adjustments to participate in the application or interview process. To initiate a request for an accommodation, contact the HR Accommodation Team by sending an email to accommodations@fmr.com.