Overview
On Site
$55.39 - $68.71 hourly
Contract - W2
Contract - Temp
Skills
Data Flow
Analytics
Use Cases
Data Extraction
Management
Real-time
Collaboration
Data Quality
Scalability
Data Engineering
SQL
Data Manipulation
Optimization
Data Processing
Apache Spark
Apache Hadoop
Amazon Web Services
Electronic Health Record (EHR)
Cloud Computing
Python
Scripting
Batch Processing
Performance Tuning
Telecommunications
Data Architecture
Workflow
Orchestration
Conflict Resolution
Problem Solving
Attention To Detail
Artificial Intelligence
Messaging
Job Details
RESPONSIBILITIES:
Kforce has a client that is seeking a Data Engineer in Greenwood Village, CO.
Summary:
We are seeking a Data Engineer with strong expertise in SQL and distributed data processing to support large-scale batch data pipelines. This role involves maintaining and optimizing existing Spark-based data jobs, as well as developing new data flows to deliver high-volume mobile data tables for analytics and business use cases.
Responsibilities:
* Enhance, maintain, and optimize existing Spark jobs that generate large-scale data tables
* Develop new data processing flows to meet evolving business and customer requirements
* Write and tune complex SQL queries for high-performance data extraction and transformation
* Manage and execute batch data pipelines (non-real time) for mobile data processing
* Collaborate with cross-functional teams to ensure data quality, accuracy, and reliability
* Monitor, troubleshoot, and improve data workflows for performance and scalability
* Leverage AWS EMR and related cloud services for distributed data computation
REQUIREMENTS:
* 5+ years of experience in data engineering or a related field
* Strong expertise in SQL for large-scale data manipulation and optimization
* Hands-on experience with Spark or Hadoop for distributed data processing
* The ideal candidate has deep technical proficiency with Spark or Hadoop, and cloud-based data solutions such as AWS EMR
* Working knowledge of AWS, preferably EMR or similar cloud environments
* Proficiency with Python for scripting and automation
* Strong understanding of data pipelines, batch processing, and performance tuning
Preferred Skills:
* Experience working with mobile data or telecommunications datasets
* Familiarity with data architecture best practices and workflow orchestration tools
* Solid problem-solving skills and a strong attention to detail in handling large, complex datasets
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 Greenwood Village, CO.
Summary:
We are seeking a Data Engineer with strong expertise in SQL and distributed data processing to support large-scale batch data pipelines. This role involves maintaining and optimizing existing Spark-based data jobs, as well as developing new data flows to deliver high-volume mobile data tables for analytics and business use cases.
Responsibilities:
* Enhance, maintain, and optimize existing Spark jobs that generate large-scale data tables
* Develop new data processing flows to meet evolving business and customer requirements
* Write and tune complex SQL queries for high-performance data extraction and transformation
* Manage and execute batch data pipelines (non-real time) for mobile data processing
* Collaborate with cross-functional teams to ensure data quality, accuracy, and reliability
* Monitor, troubleshoot, and improve data workflows for performance and scalability
* Leverage AWS EMR and related cloud services for distributed data computation
REQUIREMENTS:
* 5+ years of experience in data engineering or a related field
* Strong expertise in SQL for large-scale data manipulation and optimization
* Hands-on experience with Spark or Hadoop for distributed data processing
* The ideal candidate has deep technical proficiency with Spark or Hadoop, and cloud-based data solutions such as AWS EMR
* Working knowledge of AWS, preferably EMR or similar cloud environments
* Proficiency with Python for scripting and automation
* Strong understanding of data pipelines, batch processing, and performance tuning
Preferred Skills:
* Experience working with mobile data or telecommunications datasets
* Familiarity with data architecture best practices and workflow orchestration tools
* Solid problem-solving skills and a strong attention to detail in handling large, complex datasets
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.