Data Engineer, Financial Services

Data Engineer, Financial Services

About Our Client

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.

*To find out more about Huxley, please visit

www.huxley.com*