Senior Data Engineer

Job Title: Senior Data Engineer

Job Location: New York NY 10019 HYBRID

Duration: 5 Months (Possibility of extension)

**Hybrid with 2 days per week in the office. Fully remote is acceptable for the right candidate.

Job Summary:

As a Senior Data Engineer you will oversee the entire development lifecycle of complex data projects including integration and transformation tasks such as analysis design development and support of intricate data pipelines in cloud environments. You will also assist in designing and configuring data management tools that extract and manipulate data from various inhouse and external sources.

Required Skills:

• Proficiency in creating scalable and secure data pipelines for the ingestion transformation and transfer of large volumes of structured and unstructured data from diverse sources.
• Expertise in building complex database logic and APIs to automatically fetch and store data in various formats.
• Extensive experience with programming languages (such as Python) ETL tools and both relational and nonrelational databases.
• Skill in architecting and developing efficient reusable modular components for complex applications.
• Knowledge of implementing data quality security and governance standards and best practices across different cloud environments.
• Experience in designing and building integrations between data management tools.
• Proficiency in designing developing and maintaining data solutions across cloud platforms like AWS or Google Cloud.
• Deep understanding of data structures algorithms software architecture detailed testing and documentation of complex systems.
• Experience with the secure movement and storage of PHI PII and PCI data.
• Ability to scale up applications increase resiliency and ensure code meets performance standards.
• Collaboration skills to work with data analysts data scientists and IT operations in installing and building tools that transform data for new data and AI products.
• Technical leadership experience in development projects and providing consultation and guidance to team members.
• Innovative problemsolving skills for complex business or production issues.
• Familiarity with modern DevSecOps practices and tools.
• Experience with Agile methodologies and tools (e.g. Jira Scrum Kanban).

Nice to Have:

• Experience in leading a team of data engineers and analysts in creating complex software and data pipelines.
• Knowledge of data governance processes.
• Familiarity with data classification and taxonomy tools.

Qualifications:

• Bachelors degree in Computer Science Information Systems or a related field; a Masters degree is preferred.
• 7 years of experience as a Data Engineer.