Data Engineer, Financial Services

Huxley; Boston (MA); On-site; USD 149,000 - 182,000; Full time

Benefits offered by this job

Annual performance-based bonus

Medical, dental, vision coverage

Retirement and financial wellness

Job summary

Huxley seeks a Senior Associate, Data Products to build and maintain data products in a cloud data platform supporting Private Equity. You will partner with Finance, Ops, and Data Governance to improve data quality, governance, and scalable solutions.

You will shaping enterprise data strategy, using Snowflake, Python, Terraform, and AI-assisted tooling in a modern cloud environment. Strong collaboration and ownership are essential for impact.

Qualifications

• Bachelor's or Master's in Computer Science, Engineering, Information Systems, or related field.
• 7+ years in Data Engineering/Data Platforms/Software Engineering or related disciplines.
• Deep expertise with Snowflake including RBAC, data sharing, cost management, multi-account architecture.
• Strong SQL and data modeling experience including dimensional modeling.
• Production-level Python development experience.
• Experience with Terraform, IaC, and automation frameworks.
• Hands-on experience building and supporting CI/CD pipelines.
• Experience with Apache Airflow orchestration.
• Working knowledge of dbt.
• Knowledge of data governance, lineage, ownership frameworks, and data quality management.
• Experience in AWS cloud environments.
• Excellent communication with technical and business stakeholders.
• Demonstrated ability translating business requirements into scalable tech solutions.
• Strong ownership mindset to support products end-to-end.

Responsibilities

• Own data ingestion, transformation, and modeling for Private Equity data domains.
• Design and maintain Snowflake-based data products and architectures.
• Deliver enhancements from requirements through production deployment using modern engineering practices.
• Implement data governance including data certification, lineage, definitions, ownership, and quality controls.
• Ensure reliability and performance of data pipelines during quarterly close and reporting.
• Manage Snowflake environments including security, RBAC, cost, data sharing, and multi-account setup.
• Develop infrastructure, permissions, and governance as code using Terraform and CI/CD tools.
• Translate complex business processes into scalable data models and solutions.
• Collaborate with stakeholders to define roadmaps and prioritize enhancements.
• Establish technical standards, perform code reviews, and mentor team members and contractors.
• Work closely with Data Engineering, Security, Cloud Operations, and Data Governance teams.

Skills

SQL

Python

Snowflake

Data modeling

CI/CD

Airflow

dbt

Terraform

AWS

Data governance

Cloud data

Communication

Ownership

Education

Bachelor's or Master's in CS/Engineering/IS

Tools

Snowflake

Terraform

Apache Airflow

dbt

Job description

Our client is one of the world's leading private investment firms, with approximately $200 + billion in assets under management and a global presence spanning 24 offices across four continents. The firm invests across Private Equity, Growth & Venture, Capital Solutions, Credit, and Real Assets, serving a diverse portfolio of businesses and investors worldwide.

Known for its entrepreneurial culture and collaborative approach, the organization empowers employees to take ownership, solve complex business challenges, and drive meaningful impact across the business.

The Opportunity

Our client is seeking a Senior Associate, Data Products to join a growing Data Products team focused on supporting the firm's Private Equity business. This is a highly visible, hands-on role responsible for building and maintaining critical data products within a modern cloud data ecosystem.

The successful candidate will partner directly with stakeholders across Finance, Investment Operations, and Data Governance to design scalable data solutions, improve data quality and governance, and develop foundational capabilities that support investment and operational decision-making across the organization.

This role offers the opportunity to influence enterprise data strategy while working with modern data technologies, AI-assisted development tools, and cloud-native platforms.

Key Responsibilities

• Own data ingestion, transformation, and modeling for key Private Equity data domains, including fund accounting, valuation, portfolio monitoring, HR, and operational data.
• Design and maintain scalable Snowflake-based data products and architectures.
• Deliver enhancements from requirements through production deployment using modern engineering and AI-assisted development practices.
• Implement data governance capabilities including data certification, lineage, business definitions, ownership, and quality controls.
• Ensure reliability and performance of critical data pipelines, particularly during quarterly close and reporting periods.
• Configure and manage Snowflake environments, including security, role-based access controls, cost optimization, data sharing, and multi-account architecture.
• Develop and manage infrastructure, permissions, and governance frameworks as code using Terraform and CI/CD tools.
• Translate complex business processes into scalable data models and technical solutions.
• Partner with business stakeholders to define roadmaps and prioritize product enhancements.
• Establish technical standards, perform code reviews, and mentor team members and contractors.
• Collaborate closely with Data Engineering, Information Security, Cloud Operations, and Data Governance teams.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related technical field.
• 7+ years of experience in Data Engineering, Data Platforms, Software Engineering, or related disciplines.
• Deep expertise with Snowflake, including:
  • Role-Based Access Control (RBAC)
  • Data sharing
  • Cost management
  • Multi-account architecture
• Strong SQL and data modeling experience, including dimensional modeling and enterprise data architecture concepts.
• Production-level Python development experience.
• Experience with Terraform, Infrastructure-as-Code, and automation frameworks.
• Hands-on experience building and supporting CI/CD pipelines.
• Experience with Apache Airflow orchestration.
• Working knowledge of dbt.
• Knowledge of data governance, data lineage, ownership frameworks, and data quality management.
• Experience working within cloud environments, preferably AWS.
• Ability to communicate effectively with technical teams as well as finance and operations stakeholders.
• Demonstrated experience translating business requirements into scalable technical solutions.
• Strong ownership mindset with experience supporting products from design through ongoing operations.

Preferred Qualifications

• Experience within Private Equity, Asset Management, Alternative Investments, or Financial Services.
• Familiarity with fund accounting platforms and investment operations data.
• Experience with governance, data catalog, or data observability tools.
• Snowflake certifications (SnowPro Core or Advanced).
• Experience utilizing AI coding tools such as Cursor, Claude Code, Codex, or similar platforms.
• Experience with governance-as-code, policy-as-code, or data contracts.

Compensation & Benefits

$165K Cash Comp + Excellent benefits

In addition to base compensation, this position may be eligible for:

• Annual performance-based bonus
• Comprehensive medical, dental, and vision coverage
• Retirement and financial wellness programs
• Paid time off and parental leave benefits
• Professional development opportunities
• Additional employee wellness and support programs

Why Join?

This is an opportunity to work directly with senior business and investment stakeholders while helping shape the future of a modern enterprise data platform. You'll join a highly collaborative team leveraging cutting-edge cloud, data, and AI technologies to build scalable solutions that have firmwide impact.

EOE Statement: Specialist Staffing Group is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

In addition to base pay, direct-hire employees may be eligible for client offered benefits such as medical, dental, and vision coverage, and paid leave where required by applicable law. Eligibility may vary based on factors such as location and hire date and is subject to change.