Data Engineer

Job Title: Data Engineer

A top-tier financial services firm in Midtown Manhattan is seeking a Data Engineer to join their growing IT team. This is a full-time, permanent position with a hybrid schedule (2–3 days onsite per week). The firm manages a multibillion-dollar portfolio and has deep expertise in alternative strategies including hedge funds and private equity.

About the Role

We are looking for a hands-on Data Engineer with a strong background in large-scale data handling, cloud-native environments, and scalable system design. This role will support the firm’s broader data strategy—improving pipelines, enabling governance, supporting integration, and preparing the data environment for technologies like GenAI.

You will work closely with software engineers, architects, data scientists, and business users to build, manage, and optimize data systems across the organization. This is a highly collaborative and visible role that offers the opportunity to drive measurable impact.

Key Responsibilities

Design and build scalable data solutions, including data models, data warehouses, and transformation pipelines

Define and implement data governance standards and practices

Collaborate with external data management partners and internal stakeholders

Lead the development of data ingestion and synchronization processes across internal and external platforms

Support the organization’s adoption of emerging technologies such as GenAI

Develop tools to automate data administration processes

Maintain documentation of data architecture and system configurations

Work within a scrum environment, participating in cross-functional planning, development, and deployment cycles

Tech Stack

Languages: Python (Django, Pandas, NumPy), PL/SQL

Databases: SQL Server, MySQL, Redis

Tools: Elastic Search, Kafka, Tableau, third-party APIs

Cloud: AWS (preferred)

Candidate Profile

At least 3+ years of experience in data engineering, architecture, or analytics roles within financial services (asset management, hedge funds, or broker/dealers preferred)

2+ years of hands-on Python development experience

Solid knowledge of SQL and relational/non-relational databases

Experience with cloud platforms and modern data stack tools

Strong grasp of data modeling, ETL/ELT pipelines, and data governance

Strong interpersonal skills with the ability to work across technical and business teams

Bachelor's degree in Computer Science or related field

Ideal Attributes

Ownership mindset and proactive approach to problem-solving

Commitment to excellence and continuous improvement

Strong curiosity and a desire to understand the “why” behind technical solutions

Structured thinking and comfort with fast-paced, high-impact environments

Business-oriented mindset with a focus on value delivery

Initial Success Metrics (First 6 Months)

Own and contribute to key data-driven projects aligned with firmwide strategy

Establish foundational data engineering practices and tools

Build relationships across teams and demonstrate understanding of business needs

Deliver high-quality, production-ready solutions that elevate the firm’s data capabilities