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Principal Data Engineer
Job in
Boston, Suffolk County, Massachusetts, 02298, USA
Listed on 2026-06-20
Listing for:
Curate Partners
Full Time
position Listed on 2026-06-20
Job specializations:
-
IT/Tech
Data Engineering
Job Description & How to Apply Below
- This role does not offer sponsorship and is open to candidates authorized to work in the U.S. without sponsorship (USC/GC).
- Design and enhance enterprise-grade data platforms, including ingestion, transformation, storage, orchestration, and data serving layers for both batch and streaming use cases
- Build and maintain scalable data pipelines, reusable frameworks, and enterprise data models to support analytics, artificial intelligence, and operational reporting
- Define and manage semantic data layers while implementing governance controls such as data quality validation, lineage tracking, metadata management, and secure access
- Establish engineering standards for development, testing, version control, documentation, and continuous integration and delivery practices
- Optimize data solutions for cost efficiency, scalability, and performance using modern engineering and operational practices
- Lead technical design reviews, incident response activities, and root cause analysis to improve platform stability and reliability
- Collaborate with data science teams to deploy and operationalize machine learning models for batch and real-time use cases
- Partner with cross-functional teams including analytics, security, and architecture to deliver compliant, high-quality data solutions
- Evaluate new technologies and guide architectural decisions, including build-versus-buy considerations
- Mentor engineering teams through technical guidance, code reviews, and knowledge sharing to raise overall engineering standards
- Promote consistency and reuse across distributed teams by sharing best practices and standardized components
- Bachelor’s degree in computer science, statistics, applied mathematics, or a related quantitative field
- At least 8 years of experience in data engineering or data platform development, including significant experience in senior or principal-level roles
- Strong proficiency in SQL, Python, and large-scale data processing frameworks such as Apache Spark or Py Spark
- Hands-on experience with major cloud platforms such as AWS, Azure, or Google Cloud, along with modern data platforms such as Databricks or Snowflake
- Experience with streaming technologies such as Apache Kafka or similar tools and orchestration frameworks such as Apache Airflow
- Strong background in data modeling, including dimensional, data vault, and domain-oriented approaches
- Experience implementing data governance frameworks, including quality controls, lineage tracking, metadata management, and access controls
- Knowledge of software engineering practices including CI/CD, infrastructure as code, and automated testing
- Proven ability to lead complex technical initiatives, influence stakeholders, and guide engineering teams
- Strong communication skills with the ability to present technical concepts clearly and effectively
- Ability to manage multiple priorities and work effectively in fast-paced environments
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