Data engineer • boston ma
A global financial technology leader is hiring a Principal Data Engineer to join its hybrid engineering team in Waltham, MA.This full-time role focuses on designing and building enterprise-scale, r... Show more
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Company:<br /> Commonwealth Of Massachusetts<br /> <br /> Location:<br /> Quincy,MA<br /> 2 times a week.Position:<br /> Cloud Data Engineer</p> <p> ... Show more
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The average salary range is between $ 121,591 and $ 185,000 year , with the average salary hovering around $ 141,534 year .
The average salary range is between $ 105,570 and $ 172,017 year , with the average salary hovering around $ 130,000 year .
Job Description
A global financial technology leader is hiring a Principal Data Engineer to join its hybrid engineering team in Waltham, MA. This full-time role focuses on designing and building enterprise-scale, real-time data platforms that power mission-critical financial applications.
This is a highly visible technical leadership opportunity where you'll drive the architecture and modernization of next-generation streaming data platforms while mentoring engineers and influencing engineering standards across the organization. The team is looking for someone who thrives in complex distributed environments, enjoys solving large-scale performance challenges, and wants to build resilient, cloud-native systems using cutting-edge event streaming technologies.
Required Skills & Experience
· 8+ years of experience in data engineering, software engineering, or backend platform development
· Expert-level Python development for data processing, automation, and scalable backend applications
· Advanced SQL skills including complex query development, CTEs, window functions, performance tuning, and query optimization
· Extensive experience designing and building scalable ETL/ELT pipelines and distributed data processing systems
· Strong experience with cloud-native data platforms on AWS, including Redshift, S3, Lambda, Glue, and related services
· Experience with Apache Kafka and event-driven data architectures
· Experience building and orchestrating batch and streaming data pipelines using tools such as Airflow, Spark, or Flink
· Strong knowledge of relational databases including PostgreSQL, Oracle, Amazon Redshift, and Aurora, with expertise in schema design and data modeling
· Experience with containerization and Infrastructure as Code using Docker, Kubernetes, Terraform, or CloudFormation
· Experience building CI/CD pipelines and implementing engineering best practices for production data platforms
· Experience implementing monitoring, logging, data quality, and observability solutions across enterprise data environments
· Proven ability to lead technical initiatives, mentor engineers, and collaborate across cross-functional engineering teams
What You Will Be Doing Tech Breakdown
· 40% Real-Time Data Platform & Streaming Engineering
· 30% Cloud Infrastructure, Microservices & Distributed Systems
· 20% Architecture, Technical Leadership & Platform Modernization
· 10% Observability, Performance Optimization & CI/CD
Daily Responsibilities
· 60% Hands On Engineering
· 20% Technical Leadership & Mentorship
· 20% Cross-Functional Collaboration
The Offer
You will receive the following benefits:
· Medical Insurance
· Dental Benefits
· Vision Benefits
· 401(k) with company match
· Paid Time Off (PTO)
· Paid Holidays
· Paid Parental Leave
· Professional Development Reimbursement
· Hybrid Work Environment
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
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