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Data Engineer (Azure)

  • New York, NY, United States

$45 to $50 USD / hour

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Job details

Pay
$45 to $50 USD / hour
Posting language
English
Posted

Original job description

Kforce has a client that is seeking a Data Engineer (Azure) in New York, NY.

Summary:

We are looking for a contract Data Engineer for a client engagement. This Data Engineer will possess strong experience with Python and/or PySpark needed along with Azure Data Lake, ETL, ELT, and DataFlow.

Responsibilities:

  • Work with architects, other data engineers and analysts to identify, engage, and integrate data sources for discovery and profiling and, where necessary and define data services that empower business processes
  • Design, build, and scale data pipelines across a variety of source systems and streams (internal, third-party, as well as cloud-based), distributed/elastic environments, and downstream applications and/or self-service solutions
  • Develop solutions combining data blending, profiling, mining, statistical analysis, and machine learning, to better define and curate models, test hypothesis, and deliver key insights
  • Collaborate in establishing and evolving development, testing, and documentation standards, as well as related code reviews
  • Partner with business analysts, application engineers, data scientists, leveraging the appropriate tools, solutions, and/or processes as part of their data mining, profiling, blending, and analytical activities
  • Collaborate in establishing and evolving development, testing, and documentation standards, as well as related code reviews
  • 2-5 years of progressive data application development experience
  • 2+ years of experience modeling and implementing ETL/ELT on columnar MPP database technologies
  • Strong Experience with Python and/or PySpark needed
  • Experience working in large scale/distributed SQL, NoSQL, and/or Hadoop environments
  • Experience with streaming architectures e.g. Kafka, Stream, PubSub

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.

More about this job

Skills

  • Python
  • PySpark
  • Microsoft Azure
  • Data engineering
  • Business processes
  • Statistics
  • Documentation
  • Data mining
  • SQL
  • NoSQL
  • Apache Hadoop
  • Apache Kafka

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