Senior Data Engineer

Fidelity Investments

$100K — $130K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in data engineering solutions
  • Software development experience in the financial industry
  • Proficient in Oracle PL/SQL, SQL Scripting, and performance tuning
  • Experience with ETL tools like Informatica and platforms like Snowflake
  • Strong data modeling skills in Quantitative and Multi-Dimensional Analysis
  • Familiarity with Java, Python, REST API, and AWS is a plus
  • Excellent analytical, problem-solving, and communication skills

Responsibilities

  • Develop scalable data processing solutions
  • Design robust data models and ETL pipelines
  • Apply modern DevOps and Agile practices in development
  • Analyze data to identify gaps and create solutions
  • Participate in after-hours on-call rotation for production support
  • Maintain and ensure stability of production systems
  • Collaborate with teams across Investment Management and Trading departments

Benefits

  • Opportunity to work in a leading financial technology environment
  • Engagement with innovative data engineering projects
  • Involvement in crucial investment management functions
  • Potential for professional development and learning new technologies
  • Participation in a collaborative and skilled team atmosphere
Full Job Description
Job Description:

Note: Fidelity will not provide immigration sponsorship for this position.

The Role

Join a skilled Fidelity's Asset Management Technology team to develop advanced data engineering solutions that power critical investment decisions. This role involves developing scalable data processing solutions, designing robust data models and ETL pipelines, and applying modern DevOps and Agile practices. Ideal candidate is deeply enthusiastic about innovation in financial technology, with extensive proficiency in Oracle PL/SQL, AutoSys, data warehousing.

The Expertise and Skills You Bring

You bring a wealth of experience and skills that are critical to our success. These include:
  • Years of demonstrated expertise in crafting high-quality data engineering solutions
  • Strong software development background in the Financial Industry
  • Expertise in Oracle PL/SQL development, SQL Scripting, and database performance tuning
  • Proven understanding of ETL tools like Informatica and Data Warehousing platforms such as Snowflake
  • A passionfor learning new technologies and analyzing data to identify gaps and build solutions
  • The ability to independently address technical challenges and develop innovative solutions
  • Strong data modeling skills using Quantitative and Multi-Dimensional Analysis
  • In-depth knowledge of data composition concepts including Transactional, Data Mart, and Data Warehouse structures
  • Basic proficiency in Java, Python, REST API, and AWS is advantageous
  • A dedication to delivering high-quality software using DevOps, Continuous Integration, and Continuous Delivery practices (Maven, Jenkins, Git, Docker)
  • Experience with Agile methodologies (Kanban and SCRUM) is a plus
  • Strong analytical and problem-solving skills
  • Excellent written and oral communication skills


Note: This position requires participation in an after-hours, on-call rotation to provide production support, including troubleshooting, incident response, and maintaining the stability of production systems.

The Team

Asset Management Technology (AMT) offers global technology and assistance to the Investment Management, Research, Trading, and Investment Operations departments at Fidelity. Our team develops top-tier data solutions for Fidelity Strategic Advisor Inc.'s managed account offerings. We are responsible for a multi-terabyte data platform that underpins crucial investment management functions for Fidelity's leading wealth management services. Our platform caters to investment professionals and clients who regularly engage in significant market investment decisions.

Fidelity's Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.

Certifications:

Category:

Information Technology

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