Sr Data Engineer

The Phoenix Group; Boston (MA); In loco; USD 140.000 - 190.000; Tempo pieno

Vantaggi offerti da questo lavoro

Health benefits

401(k)

Flexible PTO

Descrizione del lavoro

The Phoenix Group is seeking a Senior Data Engineer to drive modernization of our data platforms, enhance data capabilities, and support strategic analytics in a data-driven culture. You will lead cloud migrations (Snowflake/Microsoft Fabric), design scalable ETL/ELT pipelines, and enforce governance across data assets.

You will collaborate with IT and business units, optimize data workflows, and apply AI/LLM insights as they relate to data applications.

Competenze

• Bachelor’s degree in CS, DS, or related field preferred.
• 5+ years of senior data engineering or data platform management experience.
• Proven expertise in designing and maintaining data pipelines, data warehouses, and analytical models.
• Advanced SQL, data modeling, and performance tuning skills.
• Experience with cloud data platforms such as Snowflake or Microsoft Fabric.
• Python scripting for automation and data processing tasks.
• API integration, JSON, XML, and other structured/semi-structured data formats.
• Git or similar version control experience.
• Strong understanding of data governance, security, and lifecycle management.
• Experience with Agile development frameworks.

Mansioni

• Manage, evaluate, and optimize existing finance-related data platforms for scalability, security, and accessibility.
• Lead modernization of data infrastructure and cloud migrations (Snowflake, Fabric or similar).
• Develop and maintain standards for data governance, quality, and lifecycle management.
• Design, build, and support scalable ETL/ELT pipelines and data models for warehousing and analytics.
• Collaborate with IT, business units, and senior management to align data strategies and foster data-driven culture.
• Monitor, troubleshoot, and optimize data systems and workflows for performance improvements.
• Integrate JSON/XML data formats and work with APIs for data ingestion.
• Automate workflows using Python and manage source control with Git.
• Maintain strong knowledge of relational databases, data management systems, and performance tuning.
• Stay informed on AI/LLM technologies for potential data applications.

Conoscenze

SQL

Data modeling

Performance tuning

Python

API integration

Git

Agile

Data governance

Formazione

Bachelor’s degree in Computer Science, Data Science, or related field

Strumenti

Snowflake

Microsoft Fabric

Apache Airflow

Descrizione del lavoro

Senior Data Engineer – Data Platforms & Analytics

A leading organization in the financial services industry is seeking a Senior Data Engineer to drive modernization of data infrastructure, enhance data capabilities, and support strategic analytics initiatives within a data-driven culture.

Key Responsibilities

• Manage, evaluate, and optimize existing finance-related data platforms, leveraging emerging technologies, cloud services, and best practices to improve scalability, security, and data accessibility.
• Lead efforts to modernize data infrastructure, including migrating data to cloud platforms such as Snowflake, Microsoft Fabric, or similar, ensuring robust data processing capabilities.
• Develop, implement, and maintain standards and procedures for data governance, data integration, quality assurance, and lifecycle management to ensure data consistency, accuracy, and timeliness across data assets.
• Design, build, and support scalable ETL/ELT pipelines and data models that support data warehousing, reporting, and analytics initiatives.
• Collaborate with IT, Business Units, and senior management to align data strategies, foster a data-driven culture, and support organizational goals.
• Monitor, troubleshoot, and optimize data systems and workflows, identifying opportunities for process improvements and system performance enhancements.
• Integrate structured and semi-structured data formats such as JSON and XML, and work with APIs for seamless data ingestion.
• Automate workflows using Python and manage source control with Git or similar tools to ensure reliable and repeatable data processes.
• Maintain a strong understanding of relational databases, data management systems, and performance tuning best practices.
• Stay informed on AI and large language model technologies to explore potential data application integrations.

Core Qualifications & Requirements

• Bachelor’s degree in Computer Science, Data Science, or related field preferred.
• Minimum of five years of experience in senior data engineering, database architecture, or data platform management.
• Proven expertise designing and maintaining data pipelines, data warehouses, and analytical models.
• Advanced SQL development, data modeling, and performance tuning skills.
• Experience working with cloud-based data platforms and services, such as Snowflake, Microsoft Fabric, or similar.
• Proficiency in Python scripting for automation and data processing tasks.
• Familiarity with API integration, JSON, XML, and other structured/semi-structured data formats.
• Experience with version control systems such as Git.
• Strong understanding of data governance, security, and lifecycle management.
• Experience working within Agile development frameworks.

Nice-to-Have Qualifications

• Industry certifications in database management or cloud platforms.
• Knowledge of finance, ERP systems, or financial reporting tools.
• Experience with law firm or professional services application databases, such as Aderant Expert, Foundation, or iManage.
• Familiarity with third-party database monitoring and diagnostics tools.
• Exposure to artificial intelligence and large language models.

Core Technical Skills

• Cloud Data Platforms: Snowflake, Microsoft Fabric, cloud migration, cloud security
• Data Pipeline Development: ETL, ELT, Apache Airflow, DataOps
• Data Modeling & Warehousing: Kimball, dimensional modeling, star schema
• Programming & Automation: Python, scripting, automation frameworks
• Database Technologies: SQL, relational databases, performance tuning
• Data Formats & APIs: JSON, XML, RESTful APIs
• Version Control: Git, source control management
• Data Governance & Security: Data quality, lifecycle management, compliance
• AI & Machine Learning: Large language models, data science integrations

Career Impact

This role offers the opportunity to lead enterprise data modernization initiatives that significantly impact data quality, analytics capabilities, and strategic decision-making in a dynamic, innovative environment.

Compensation and Benefits

Competitive salary based on experience, comprehensive benefits package, including health, dental, vision, and 401(k), flexible PTO, and professional development opportunities.

The Phoenix Group Advisors is an equal opportunity employer.

We are committed to creating a diverse and inclusive workplace and prohibit discrimination and harassment of any kind based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.

We strive to attract talented individuals from all backgrounds and provide equal employment opportunities to all employees and applicants for employment.