Senior Data Engineer (Python | SQL | Airflow | GCP )

NO THIRD PARTIES please - we do all our own recruiting This is a consultant role and will require 5 days onsite in midtown, NYC. Please apply only if you are located in the Tri-State NY area ONLY! Location: midtown/ fully onsite (5 days) Duration: 6+ months rolling Rate: Pay $100/per hour W2 (medical/dental/vision benefits available) About the Role We are seeking a skilled and collaborative Data/Software Engineer to join the technology team at a leading NYC-based investment and financial services firm. This role involves building and maintaining robust data pipelines and infrastructure that support high-stakes decision-making across the firm. The ideal candidate combines strong technical expertise with a consultative mindset—someone who enjoys working closely with non-engineering stakeholders to transform data requests into actionable solutions. Responsibilities Design, implement, and maintain scalable data pipelines using Python, SQL, and Airflow or other ETL orchestration platforms. Integrate diverse data sources into a centralized platform, ensuring accuracy, performance, and reliability. Translate non-technical requests into clear engineering specifications and deliver clean, business-ready data products. Leverage cloud infrastructure (preferably GCP/BigQuery) to scale and optimize data workflows. Collaborate across teams—investment analysts, operations, research—to enable data-driven decisions. Write production-quality code with attention to reusability, performance, and documentation. Participate in architectural discussions and help drive improvements to our data systems. Qualifications 3+ years of experience in data engineering or software development roles. Fluency in Python and SQL, with strong data manipulation and transformation skills. Practical experience with Airflow, or similar orchestration/workflow tools. Familiarity with GCP, BigQuery, or similar cloud-based data platforms. Strong communication skills, especially with non-technical or business-facing teams. Ability to work independently in a fast-paced, high-performance environment. Preferred Qualifications Experience in the financial domain (e.g., investment data, market data, or reporting systems). Familiarity with containerized environments and version control best practices (Docker, Git, CI/CD). Understanding of data warehousing principles and modern data architecture. Why Join Us? Collaborate with high-caliber professionals in a fast-moving, intellectually stimulating setting. Work on impactful data problems with real business consequences. Contribute to the design and evolution of a modern data platform. Competitive compensation and benefits designed to attract top-tier engineering talent. Job Types: Full-time, Contract Pay: $100.00 - $115.00 per hour Benefits: Dental insurance Health insurance Vision insurance Schedule: 8 hour shift Day shift Monday to Friday Work Location: In person