Data Engineer at Kforce Inc

Posted in Other 12 days ago.

Location: New York, New York





Job Description:


RESPONSIBILITIES:

Kforce's NYC-based financial services client is looking to add a Data Engineer to their team.

Responsibilities:


  • Work on migrating applications from an on-premises location to the cloud service providers

  • The Data Engineer will develop products and services on the latest technologies through contributions in development, enhancements, testing and implementation

  • Develop, modify, extend code for building cloud infrastructure, and automate using CI/CD pipeline

  • Partners with business and peers in the pursuit of solutions that achieve business goals through an agile software development methodology

  • Perform problem analysis, data analysis, reporting, and communication

  • Work with peers across the system to define and implement best practices and standards

  • The Data Engineer will assess applications and help determine the appropriate application infrastructure patterns

  • Use best practices and knowledge of internal or external drivers to improve products or services







REQUIREMENTS:



  • Expert-level understanding of Agile, SDLC, CI/CD, DevOps; GitOps, and ProdOps is required

  • Expert-level experience in data architecture, data types/formats, optimizing code and ETL jobs, data architecture, data modeling, data contracts - a key requirement for successful collaboration with data architects and visualization developers

  • Expert-level professional hands-on experience in extensible data pipeline development using Databricks, Alteryx, AWS Glue and Lambda functions

  • Expert-level professional hands-on experience with RDBMS, ETL scripting tools and IDEs, data pipeline development, and management using orchestration/monitoring tools

  • Expert-level knowledge and experience in implementing software engineering security best practices and contributing to design/engineering for DevSecOps

  • Expert-level experience with master data management strategies, rules-based engines, and tools for multi-stage data correlation on large data sets

  • Experience managing deployment and leading the release of code to production

  • Expert-level understanding of data visualization tools and requirements for business customers

  • Expert-level experience working in agile setting or being an agile best-practice mentor

  • Expert-level experience working in Jira, confluence, and contributing to engineering team documentation/playbooks

  • Proven experience influencing and partnering with product management, Product Owners in translating business requirements into data and engineering specifications

  • Expert-level expertise in SQL, Python, Scala or similar; Other object-oriented programming experience a plus






The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.



We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.



Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless
and until paid and may be modified in its discretion consistent with the law.



This job is not eligible for bonuses, incentives or commissions.



Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.





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