Title: Senior Data Engineer. Location: New York City - Midtown Manhattan (2-days onsite, 3-days remote Hybrid Schedule)Schedule: Mon - Fri, 8:00 AM - 5:00 PM EST - Note: C 2 C & 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... more details
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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