Overview
On Site
$60 - $65 hourly
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - Temp
Skills
Reporting
Machine Learning Operations (ML Ops)
Systems Design
Testing
Documentation
Scrum
FOCUS
Cloud Computing
Analytics
Visualization
Data Warehouse
Data Integration
Data Engineering
Databricks
SQL
Python
Scala
Data Modeling
KPI
Communication
Collaboration
Microsoft Power BI
Analytical Skill
Microsoft Azure
DevOps
GitHub
Extract
Transform
Load
Informatica
Artificial Intelligence
Messaging
Job Details
RESPONSIBILITIES:
Kforce has a client that is seeking a Senior Databricks Engineer in Charlotte, NC.
Summary:
A large enterprise-level company is seeking a Senior Data Engineer to support data and analytics projects. This team handles technology for Data Engineering, Analytics, Reporting, and ML Ops across multiple business areas. The ideal candidate will be hands-on, technically strong, and have a proven record of delivering projects.
Day-to-day Responsibilities:
* Develop and support new and existing data applications
* Collaborate with business stakeholders and analysts to understand data and processes, providing recommendations for best practices and future system design
* Work closely with architects to review designs and ensure proper implementation
* Provide technical guidance on complex data solutions
* Participate in code reviews, testing, deployment, and documentation
* Maintain documentation to support downstream integrations
* Troubleshoot production issues
* Support Scrum team activities
* Identify emerging technology trends and opportunities
Technical Environment:
* Heavy focus on Azure Databricks and cloud data engineering
* Involvement in data products related to analytics across various business domains
* Work closely with Data Scientists on visualization projects using Power BI and other platforms
* Primarily engineering-focused (90%) with some business interaction (10%)
REQUIREMENTS:
* Bachelor's degree in Computer Science or related field preferred
* 5 to 10 years' experience in Data Warehousing, Data Integration, or Data Engineering
* Proficient with Azure Databricks and the Azure ecosystem
* Strong SQL skills
* Experience with Python or Scala
* Familiarity with data modeling and its impact on KPIs
* Strong engineering mindset
* Strong communication skills and ability to collaborate across departments
* Ability to think creatively and proactively recommend solutions
* Experience with Power BI, AzureML, Synapse, or related analytical platforms preferred
* Experience with Azure DevOps and GitHub is a plus
* Exposure to ETL tools or similar systems (e.g., Informatica, IICS) a plus
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 Senior Databricks Engineer in Charlotte, NC.
Summary:
A large enterprise-level company is seeking a Senior Data Engineer to support data and analytics projects. This team handles technology for Data Engineering, Analytics, Reporting, and ML Ops across multiple business areas. The ideal candidate will be hands-on, technically strong, and have a proven record of delivering projects.
Day-to-day Responsibilities:
* Develop and support new and existing data applications
* Collaborate with business stakeholders and analysts to understand data and processes, providing recommendations for best practices and future system design
* Work closely with architects to review designs and ensure proper implementation
* Provide technical guidance on complex data solutions
* Participate in code reviews, testing, deployment, and documentation
* Maintain documentation to support downstream integrations
* Troubleshoot production issues
* Support Scrum team activities
* Identify emerging technology trends and opportunities
Technical Environment:
* Heavy focus on Azure Databricks and cloud data engineering
* Involvement in data products related to analytics across various business domains
* Work closely with Data Scientists on visualization projects using Power BI and other platforms
* Primarily engineering-focused (90%) with some business interaction (10%)
REQUIREMENTS:
* Bachelor's degree in Computer Science or related field preferred
* 5 to 10 years' experience in Data Warehousing, Data Integration, or Data Engineering
* Proficient with Azure Databricks and the Azure ecosystem
* Strong SQL skills
* Experience with Python or Scala
* Familiarity with data modeling and its impact on KPIs
* Strong engineering mindset
* Strong communication skills and ability to collaborate across departments
* Ability to think creatively and proactively recommend solutions
* Experience with Power BI, AzureML, Synapse, or related analytical platforms preferred
* Experience with Azure DevOps and GitHub is a plus
* Exposure to ETL tools or similar systems (e.g., Informatica, IICS) a plus
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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.