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Data Engineer

Kforce Inc.
  • New York, NY
  • Remote
  • $74
Today

Job Description

Kforce's client in NYC is seeking a highly skilled Data Engineer with strong hands-on experience in Apache Spark/PySpark, AWS EMR, Databricks, and Snowflake. The Data Engineer will be responsible for designing and building scalable, high-volume data pipelines, optimizing distributed data processing workloads, implementing data quality and observability frameworks, and resolving complex performance and production challenges across cloud-based data platforms.

Requirements:

  • Strong Data Engineer with deep hands-on expertise in Apache Spark/PySpark, AWS EMR, Databricks, and Snowflake
  • To be considered for this position, candidates must have experience in a similar role, or they must possess significant knowledge, experience, and abilities to successfully perform the responsibilities listed
  • Relevant education and/or training will be considered a plus
Should be capable of:
  • Designing and building high-volume, scalable data pipelines
  • Optimizing distributed workloads
  • Implementing robust data quality and observability
  • Troubleshooting complex performance and production issues across cloud-based data platforms

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.


Numbers & Facts

LocationNew York, NY (
Remote
)
IndustryFinancial Services
Salary$74
Company Size1,000 to 1,499 employees
Year Founded1962
Websitehttp://www.kforce.com/

About Company

Kforce is a solutions firm specializing in technology, finance and accounting, and professional staffing services. Our KNOWLEDGEforce® empowers top companies to achieve their digital transformation goals. We curate teams of technical experts who deliver solutions custom-tailored to each client’s needs. These scalable, flexible outcomes are shaped by deep market knowledge, thought leadership and our multi-industry expertise.

 

Our integrated approach is rooted in 60 years of proven success deploying highly skilled professionals on a temporary and direct-hire basis. Each year, approximately 18,000 talented experts work with the Fortune 500 and other leading companies. Together, we deliver Great Results Through Strategic Partnership and Knowledge Sharing®.

Skills

  • Amazon Web Services (AWS)unmatched
  • Apache Sparkunmatched
  • Cloud Computingunmatched
  • Data Managementunmatched
  • Data Processingunmatched
  • Data Qualityunmatched
  • Electronic Medical Recordsunmatched
  • Identify Issuesunmatched
  • Legalunmatched
  • Scalable System Developmentunmatched
  • Short Messaging Service (SMS)unmatched
  • Snowflake Schemaunmatched

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