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I'm hiring a
Data Engineer for a FULLTIME position it can be Remote 100% Must be located in one of these states for 100% remote New YorkNew JerseyConnecticutMassachusettsPennsylvaniaDelawareRhode Island JOB SUMMARY: We are looking for an accomplished pipeline-centric Data Engineer to join our growing team of analytics experts. The position will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company's data architecture to support our next generation of products and data initiatives. Required Skills and Experience:- We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a bachelor's degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- Experience building and optimizing 'big data' data pipelines, architectures and data sets.
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Strong analytic skills related to working with unstructured datasets.
- Build processes supporting data transformation, data structures, metadata, dependency and workload management.
- A successful history of manipulating, processing and extracting value from large, disconnected datasets.
- Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.
- Strong project management and organizational skills.
- Experience supporting and working with cross-functional teams in a dynamic environment.
- - Lead and develop sustainable data driven solutions with current and next gen data technologies to meet the needs of our organization and business customers.
- - Design robust systems with an eye on the long-term maintenance and support of the application.
- - Assemble large, complex data sets and data marts that meet functional/non-functional business requirements.
- - Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- - Leverage and establish standards across the team and organization.
- - Develop within a hybrid-cloud-based data-processing architecture to integrate the organization's data with third parties.
- - Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
- - Develop with a strong emphasis on security, reliability, fault tolerance and performance.
- - Develop stream processing applications to process data in near real time.
- - Build batch data pipelines to integrate disparate data sources in a central data warehouse to support business applications and analytics.
- - Design new analytical and physical data models for analysis and optimization.
- - Develop solutions within a data visualization technology or platform (e.g., Tableau, D3).
- - Provide technical guidance to team members.
- - Help to enable team success through fostering a positive work environment.
Vacancy expired!