Senior Data Engineer

Manhattan, NY | Work from home flexibility

Posted: 07/01/2024 Category: Information Technology Job Number: DAPEL191

Job Description

Title: Senior Data Engineer

Location: New York City – Midtown Manhattan (2-days onsite, 3-days remote Hybrid Schedule)

Schedule: Mon – Fri, 8:00AM – 5:00PM EST

Note: C2C & 3rd Party Candidates will NOT be considered

We are seeking a Senior Data Engineer to work with our technical teams in a fast-paced technology organization. Ideal candidates for this role will be able to work on a 2-day onsite/3-day remote hybrid schedule, however we are open to fully remote for the right candidate. As a Senior Data Engineer, you will be responsible for the full development lifecycle of complex data projects requiring integration and transformation, including analysis, design, development, and support of complex data pipelines in cloud environments. You will assist in the design and configuration of data management tools that extract and manipulate data from various sources, including in-house and external databases.

Position Qualifications:

  • 7+ years of relevant Data Engineering work experience
  • Experience creating scalable and secure data pipelines that enable the ingestion, transformation, and transfer of large quantities of structured and unstructured data from various databases and sources
  • Experience building complex database logic and APIs to automatically fetch and store data in various forms
  • Extensive experience with programming languages (Python or related), ETL tools and their administration, as well as relational and non-relational databases
  • Experience architecting and developing efficient and reusable modularized components that drive complex applications
  • Experience implementing data quality, security, and governance standards and best practices across different cloud environments
  • Experience in the design and build of integration between data management tools
  • Experience in the design, development, and maintenance of data solutions across different cloud platforms, such as AWS or Google Cloud
  • A strong understanding of data structures, algorithms, and software architecture, as well as the design, detailed testing, and documentation of complex systems
  • Experience with the secure movement and storage of PHI, PII, and PCI data
  • Experience scaling up or increasing application resiliency and assuring that code meets required performance standards
  • Experience working and collaborating with data analysts, data scientists, and IT operations to install and build tools, transforming data to be used in building a new generation of data and artificial intelligence products
  • Experience providing technical leadership for development projects and providing consultation and guidance to other team members
  • Experience providing innovative solutions when presented with complex business or production issues
  • Experience with modern DevSecOps practices and tools
  • Experience with Agile methodologies and tools (Jira, Scrum, or Kanban)
  • Experience in directing a team of data engineers and analysts in the creation of complex software and data pipelines preferred
  • Experience with data governance processes preferred
  • Experience with data classification and taxonomy tools preferred
  • A minimum of a Bachelor’s Degree in Computer Science, Information Systems, or other related field; Master’s Degree in a related field preferred

Note: C2C & 3rd Party Candidates will NOT be considered

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