AgileEngine - Data Engineer ID50062

Data Scientist is needed in New York, United States.

Client: AgileEngine

Location: New York, NY, us

Contract: Freelance

Job Description

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

The Senior Data Engineer (Python) role is central to transforming large, diverse datasets into reliable insights that support research and strategic decisions across a global financial platform. You will help shape a unified data ecosystem, partnering with data scientists, researchers, and stakeholders to connect technology with real business impact. This opportunity features the scale of data, use of modern cloud, AI, and data engineering practices, offering strong influence on platform evolution while contributing to a mission-driven, collaborative environment.

Requirements

MUST HAVES

• Authorized to work for ANY employer in the US, as employment visa sponsorship is not available.
• Bachelor’s degree in computer science/engineering or other technical field, or equivalent experience.
• 5+ years of experience with Python with strong hands-on expertise.
• 5+ years of experience with data processing and analytics libraries such as Pandas, Polars, PySpark, and DuckDB.
• 2+ years of experience with Big Data technologies such as Spark and Snowflake.
• Expert-level knowledge of Airflow or similar pipeline orchestration tools.
• Deep understanding of Medallion Architecture, columnar file formats, and database technologies including SQL, NoSQL, and Lakehouse architectures.
• Proven ability to work with third-party APIs for complex data ingestion.
• Proficiency with cloud platforms such as AWS, GCP, and Snowflake, including advanced SQL optimization.
• Upper-intermediate English level.

NICE TO HAVES

• Familiarity with the fintech industry and financial data domains.
• Documentation skills for data pipelines, architecture designs, and best practices.
• OpenSearch or Elasticsearch.
• AWS SageMaker Studio and Jupyter for data analysis.
• Terraform.
• Scala.

Additional Information

PERKS AND BENEFITS:

• Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
• Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
• Exciting projects: Modern solutions with Fortune 500 and top product companies.
• Flextime: Flexible schedule with remote and office options.