What are the responsibilities and job description for the Data Engineer position at Kforce Technology Staffing?
Job Details
RESPONSIBILITIES:
Kforce has a client that is seeking a Data Engineer in Brooklyn, NY to join their team.
Summary:
This team is responsible for improving the quality and usability of our Visits data and DataMarts, which power critical use cases such as marketing attribution, experimentation, machine learning applications, and company-wide performance reporting. You will help support key initiatives and assist in reducing our backlog during this engagement.
Responsibilities:
* Analyze and synthesize large datasets to improve data quality and usability
* Collaborate with a small, agile team to deliver on high-impact projects
* Adapt to shifting priorities and tasks in a dynamic environment
REQUIREMENTS:
* 5 years of experience in data engineering or related field
* Experience working with and analyzing large datasets
* Familiarity with a Java Virtual Machine (JVM) language (e.g., Java, Scala)
* Strong proficiency in SQL and advanced analytics
Preferred Qualifications:
* Experience with Scala Spark
* Experience developing Kafka Streams Applications
* Knowledge of Google Cloud Platform and Big Query
* Exposure to Apache Kafka
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.
Kforce has a client that is seeking a Data Engineer in Brooklyn, NY to join their team.
Summary:
This team is responsible for improving the quality and usability of our Visits data and DataMarts, which power critical use cases such as marketing attribution, experimentation, machine learning applications, and company-wide performance reporting. You will help support key initiatives and assist in reducing our backlog during this engagement.
Responsibilities:
* Analyze and synthesize large datasets to improve data quality and usability
* Collaborate with a small, agile team to deliver on high-impact projects
* Adapt to shifting priorities and tasks in a dynamic environment
REQUIREMENTS:
* 5 years of experience in data engineering or related field
* Experience working with and analyzing large datasets
* Familiarity with a Java Virtual Machine (JVM) language (e.g., Java, Scala)
* Strong proficiency in SQL and advanced analytics
Preferred Qualifications:
* Experience with Scala Spark
* Experience developing Kafka Streams Applications
* Knowledge of Google Cloud Platform and Big Query
* Exposure to Apache Kafka
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.
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Salary : $40 - $50