Data Engineer Senior AssociateState Street Corporation • Quincy, Massachusetts, United States
Data Engineer Senior Associate
State Street Corporation
- Quincy, Massachusetts, United States
- Quincy, Massachusetts, United States
About
What You Will Do In this role, you will perform the following day-to-day activities:
Design, develop, and maintain automated test scripts to support regression testing and maximize test coverage.
Document testing requirements for AWS-based applications, Databricks, and ETL backend systems using Java and Python.
Contribute to application development, integration, and testing to meet business requirements.
Execute performance testing to assess system scalability, reliability, and efficiency.
Translate business requirements into functional and technical specifications; apply skills in data analysis, mapping, and visualization.
Provide post-production support and maintenance for production systems.
Develop secure applications and services for the Chief Data Office using AWS, Databricks, and Airflow, deployed to cloud environments.
Build and manage databases using a variety of technologies.
Write unit and integration tests to ensure code quality.
Participate in design and code reviews.
Collaborate with cross-functional teams to manage dependencies, identify risks, and deliver solutions.
In this role, you will have
Engagement in meaningful daily work: You’ll take ownership of specific tasks and projects, gaining hands‑on experience and building confidence through real contributions.
A supportive learning environment: You’ll exercise your judgment in a guided setting, with mentorship and supervision to help you grow.
Focused skill development: This role is designed to help you deepen your expertise in a specific area.
Clear structure and expectations: You’ll work within well-defined parameters, giving you the clarity and focus to succeed.
Independent contributions: You’ll have the opportunity to make an impact through your individual contributions while collaborating with a supportive team.
Focus on growth: While there are no people‑management responsibilities with this role, it is a great stepping‑stone for future leadership opportunities.
A collaborative team culture: You’ll build strong working relationships with your peers and supervisor, gaining valuable experience in a professional environment.
Education and Preferred Qualifications Candidates should be/have:
Enthusiastic about building a long‑term career in a dynamic, technology‑driven organization.
Effective communicators with the ability to collaborate in a team‑oriented environment.
Open to feedback and committed to continuous learning and improvement.
Motivated by real‑world problem solving and eager to contribute innovative ideas.
Degree in Data Science, Computer Science, Software Engineering, or related technical disciplines.
State Street internship experience strongly preferred.
Certification nice to haves
Cloud fundamentals
Database structures
Core Competencies
Data Management
Data Analytics
Python (Programming Language)
Perl Programming
Data Engineering
Apache Spark
Cloud Computing
Apache Hadoop
Apache Hive
Database Management
Data Visualization
Microservices Architecture
Nice to have skills
Spring Boot
Teamwork
Proactive Problem Solving
Analytical Thinking
Detail Oriented
Group Collaboration
Salary Range $52,000 - $91,000 Annual
Benefits Employees are eligible to participate in State Street’s comprehensive benefits program, which includes retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long‑term disability, and other optional additional coverages; paid‑time off including vacation, sick leave, short‑term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance‑based awards.
Equal Opportunity Employer State Street is an affirmative action/equal opportunity employer. We consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.
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Languages
- English
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