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State Street

Senior Data Engineer – Cloud & Analytics

State Street

. Design, develop, and support end‑to‑end data pipelines using cloud‑based platforms such as AWS, Redshift ,Databricks, and Snowflake.

Posted 4/29/2026full-timeBoston • Massachusetts • 🇺🇸 United StatesSenior💰 $70,000 - $118,750 per yearWebsite

Tech Stack

Tools & technologies
AirflowAmazon RedshiftApacheAWSCloudEC2ETLPythonSDLCShell ScriptingSQL

About the role

Key responsibilities & impact
  • Design, develop, and support end‑to‑end data pipelines using cloud‑based platforms such as AWS, Redshift ,Databricks, and Snowflake.
  • Build scalable data ingestion, transformation, and validation frameworks using Python, SQL, and Shell scripting
  • Develop and optimize data pipelines for performance, reliability, and data quality
  • Partner with product owners, analytics teams, and downstream consumers to translate business requirements into technical solutions
  • Support production stability , incident resolution, and root‑cause analysis for data platforms
  • Actively participate in architecture discussions, design reviews, and technical walkthroughs
  • Follow Agile delivery practices , including sprint planning, estimation, and issue tracking using JIRA
  • Ensure compliance with data security, governance, and SDLC standards
  • Continuously identify opportunities to improve efficiency, automation, and platform capability

Requirements

What you’ll need
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
  • 6–10 years of overall IT experience, with strong focus on Data Engineering
  • 4+ years of hands‑on experience building data pipelines on cloud platforms
  • Proven experience working as a senior data engineer/ETL expert on complex technical problem statements
  • Excellent communication and leadership skills.
  • Proficient on designing ,developing and supporting Data pipelines with AWS S3,AWS Redshift, YAML Sripting ,Apache Airflow and Shell Scripting.
  • Solid AWS Cloud experience, including EC2, S3 , IAM, and cloud‑based data architectures
  • Proficiency in Python for data engineering and automation
  • Strong SQL skills for data analysis, validation, and performance tuning
  • Experience writing and maintaining Shell scripts for automation and operational support
  • Good understanding of Data Warehousing, Data Lakes, and Data Quality concepts
  • Ability to independently analyze requirements and deliver technical solutions

Benefits

Comp & perks
  • our 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 (excluding certain sales roles subject to sales incentive plans)
  • eligibility for certain tax advantaged savings plans

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
PythonSQLShell scriptingYAML scriptingData pipelinesData ingestionData transformationData validationData qualityData engineering
Soft Skills
communicationleadershipproblem-solvingindependent analysis
Certifications
Bachelor’s degree in Computer ScienceMaster’s degree in Engineering