What are the responsibilities and job description for the Senior Big Data Engineer position at Kforce Technology Staffing?
Job Details
RESPONSIBILITIES:
Kforce has a client seeking a fully remote Senior Big Data Engineer to join their team.
Overview:
The LLM engineer will be building scalable API's in python and langchain that process over 600 transactions per second that directly tie into the LLM's they are building, while the Senior Big Data Engineer will be focused on the data side and making sure all the right data is being input into the LLM's. This person will be focused on figuring out the right algorithms that form product similarities, questions/answers, attribute mapping, and retrieve them through vector search. They will be heavily focused on the data side with big data, NoSQL, Google Cloud Platform, pipelines, vector store and LLM's.
REQUIREMENTS:
* 5 years in data engineering
* Experience working with LLM's
* Experience working with multiple big data sources
* Experience with Google Cloud Platform
* Experience with Vector Stores
* Strong ability to work with NoSQL Databases
* Strong communication, innovation, passionate, want to learn and reach new horizons
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 seeking a fully remote Senior Big Data Engineer to join their team.
Overview:
The LLM engineer will be building scalable API's in python and langchain that process over 600 transactions per second that directly tie into the LLM's they are building, while the Senior Big Data Engineer will be focused on the data side and making sure all the right data is being input into the LLM's. This person will be focused on figuring out the right algorithms that form product similarities, questions/answers, attribute mapping, and retrieve them through vector search. They will be heavily focused on the data side with big data, NoSQL, Google Cloud Platform, pipelines, vector store and LLM's.
REQUIREMENTS:
* 5 years in data engineering
* Experience working with LLM's
* Experience working with multiple big data sources
* Experience with Google Cloud Platform
* Experience with Vector Stores
* Strong ability to work with NoSQL Databases
* Strong communication, innovation, passionate, want to learn and reach new horizons
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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