Position Description:
Designs and delivers data lakes, data warehouses, and report platforms. Develops data and analytics solutions on Snowflake Cloud Platform and provides technical guidance in the implementation and practice of relational database technologies and tools -- Snowflake, Oracle, SQL Server, and PL/SQL. Works with teams to support multiple source databases and builds extract replication metrics using replication and programming tools. Builds automated pipelines to deploy to various environments and services using Amazon Web Services (AWS), Python, Concourse, Jenkins core, and Groovy script.
Primary Responsibilities:
Designs, implements, and maintains data structures, batch jobs, and interfaces to external systems.
Develops original and creative technical solutions to on-going development efforts.
Develops applications for multiple projects supporting several divisional initiatives.
Supports and performs all phases of testing leading to implementation.
Assists in the planning and conducting of user acceptance testing.
Develops comprehensive documentation for multiple applications supporting several corporate initiatives.
Responsible for post-installation validation and triaging of any issues.
Establishes project plans for projects of moderate scope.
Performs independent and complex technical and functional analysis for multiple projects supporting several initiatives.
Manages data services hosted on the operational data stores and file-based interfaces.
Confers with systems analysts and other software engineers/developers to design systems.
Gathers information on project limitations and capabilities, performance requirements, and interfaces.
Develops and oversees software system testing and validation procedures, programming, and documentation.
Education and Experience:
Bachelor’s degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and five (5) years of experience as a Principal Data Engineer (or closely related occupation) designing and building database and data models in a financial services environment.
Or, alternatively, Master’s degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and three (3) years of experience as a Principal Data Engineer (or closely related occupation) designing and building database and data models in a financial services environment.
Skills and Knowledge:
Candidate must also possess:
Demonstrated Expertise (“DE”) translating business requirements into technical validations -- examining data to determine accuracy, quality, or condition using SQL, Python, Java, and Scala; and automating the Continuous Integration and Continuous Delivery (CI/CD) Rest APIs pipeline for deployments using Stash, GitHub, Jenkins, and uDeploy.
DE developing data ingestion frameworks using Python to load structured data from relational databases into a Cloud Software as a Service (SaaS) Data Lake Platform (Snowflake), using AWS, NIFI, Java, Snowflake, and Python.
DE developing data masking, reconciliation framework, and comparison dashboard metrics using Bigdata, Python, Java, Snowflake, and Airflow.
DE building metadata-driven frameworks for file feed data ingestion to load data into Snowflake using AWS, Python, Java, Snowflake, and Airflow.
#PE1M2
#LI-DNI
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.
Skills Required
- Bachelor's degree in Computer Science, Engineering, IT, Information Systems or related field and five years' experience as a Principal Data Engineer in financial services, or Master's degree and three years' experience
- Designing and building database and data models in a financial services environment
- Experience developing data and analytics solutions on Snowflake Cloud Platform
- Proficiency with relational databases: Oracle, SQL Server and PL/SQL
- Strong SQL skills
- Proficiency in Python for data ingestion and pipeline development
- Proficiency in Java and Scala for data processing
- Experience with AWS for cloud deployments and data platform integrations
- Experience automating CI/CD pipelines and REST API deployments using Stash, GitHub, Jenkins (core), Concourse, Groovy scripting, and uDeploy
- Experience building data ingestion frameworks including use of NiFi and metadata-driven file feed ingestion into Snowflake
- Experience with Airflow for orchestration
- Experience developing data masking, reconciliation frameworks, and comparison/dashboard metrics using Bigdata technologies, Python, Java, Snowflake, and Airflow
- Ability to design, implement, test, document, and validate production data systems and interfaces
Fidelity Investments Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Fidelity Investments and has not been reviewed or approved by Fidelity Investments.
-
Strong & Reliable Incentives — Bonuses, commissions, and profit-sharing are presented as generous and meaningful components of total compensation, with certain roles achieving high total earnings through multiple pay streams. Variable pay is consistently framed as a positive contributor beyond base salary.
-
Retirement Support — A 401(k) match up to 7% alongside additional profit-sharing up to 10% materially enhances long-term compensation. These retirement features are highlighted as standout strengths of the overall package.
-
Parental & Family Support — Generous paid parental leave (16 weeks maternity, 12 weeks parental), backup dependent care, and adoption assistance provide robust family support. Hybrid work and caregiving resources further ease family responsibilities.
Fidelity Investments Insights
What We Do
At Fidelity, our goal is to make financial expertise broadly accessible and effective in helping people live the lives they want. We do this by focusing on a diverse set of customers: - from 23 million people investing their life savings, to 20,000 businesses managing their employee benefits to 10,000 advisors needing innovative technology to invest their clients’ money. We offer investment management, retirement planning, portfolio guidance, brokerage, and many other financial products. Privately held for nearly 70 years, we’ve always believed by providing investors with access to the information and expertise, we can help them achieve better results. That’s been our approach- innovative yet personal, compassionate yet responsible, grounded by a tireless work ethic—it is the heart of the Fidelity way.
