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Senior Data Engineer – Cloud & Analytics at State Street | JobVerse
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Senior Data Engineer – Cloud & Analytics
State Street
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Senior Data Engineer – Cloud & Analytics
Boston, Massachusetts, United States of America
Full Time
13 hours ago
$70,000 - $118,750 USD
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Key skills
Airflow
Amazon Redshift
Apache
AWS
Cloud
EC2
ETL
Python
SDLC
Shell Scripting
SQL
Shell
Data Engineering
Data Warehousing
Analytics
Snowflake
Redshift
Databricks
Apache Airflow
S3
IAM
Jira
Agile
Leadership
Communication
Sales
About this role
Role Overview
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
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
Tech Stack
Airflow
Amazon Redshift
Apache
AWS
Cloud
EC2
ETL
Python
SDLC
Shell Scripting
SQL
Benefits
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
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