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Homeoffice Data Engineer - Remote

Jobs via Dice  ·  nan, Estados Unidos de América · Remote

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About the job

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Kforce Technology Staffing, is seeking the following. Apply via Dice today!

RESPONSIBILITIES:

A client with Kforce is seeking a Data Engineer to join their team remotely.

Summary:

The Data Engineer will play a critical role in driving innovation and growth for the Banking Solutions business. As a Data Engineer, you will play a pivotal role in our Data and Analytics platform team to install and run our cutting-edge data and analytics platforms. You will be responsible for implementing high-quality data solutions that meet our business objectives and exceed user expectations. Your technical expertise and strategic vision will drive the success of our Data and Analytics projects and contribute to the overall growth of our company.

Key Tasks:

  • Data Engineer will lead the development of robust and scalable Data and Analytics solutions, ensuring adherence to best practices and industry standards
  • Implement high-quality codebase using cloud based DBaaS and application technologies
  • Work closely with product and engineering teams to provide data science and analytics expertise
  • Collaborate closely with product managers, designers, and backend engineers to translate business requirements into technical solutions and drive product innovation
  • As a Data Engineer, you will drive continuous improvement initiatives in development processes, code quality, performance optimization, and software architecture
  • Stay updated with the latest trends and advancements in the data and analytics space, evaluate new technologies/tools, and make informed recommendations for adoption
  • Participate in cross-functional meetings, sprint planning, and agile ceremonies to ensure alignment on project goals, timelines, and deliverables

REQUIREMENTS:

  • Bachelor's degree from a four-year college or university in a related area; Preferred degree in Engineering, Computer Science, or similar relevant field
  • 7-10 years with 6-8 years of full life cycle development experience and 5-7 years of programming and system design experience in financial services or a related industry in directly related progressively responsible positions; Or equivalent combination of education and experience
  • Experience withstanding up a data/analytics platform in AWS
  • AWS data engineer experience
  • Ability to govern data models
  • Strong preference for worked on technology transition from on premise Oracle to cloud based data platforms on AWS
  • Strong proficiency in standing up and running data and analytics tools such as Celebrus, Quantum Metrics, Tealium, etc.
  • Experience in developing complex, high-performance analytics applications with a focus on user experience, performance, and scalability
  • Knowledge of modern software development practices such as Agile methodologies, continuous integration, and test-driven development (TDD)
  • Familiarity with data modeling principles, design guidelines, and design techniques
  • Demonstrated ability to innovate and leverage new technologies, tools, and techniques to solve complex technical challenges and improve development processes
  • Experience with performance optimization, memory management, and debugging tools to ensure smooth and efficient operation
  • Proactive in identifying potential issues, proposing solutions, and driving continuous improvement in code quality, performance, and best practices
  • Experience developing engineering applications for a large corporation
  • Demonstrated project development and leadership skills
  • Current understanding of best practices regarding system security measures
  • Deep understanding and commitment to software engineering principles and processes (e.g., Lean, Agile, DevOps) and continuous improvement through measurement

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.

By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP. Data Engineer - Remote
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