Overview
Remote
On Site
$40 - $45 hourly
Contract - W2
Contract - Temp
Skills
Telecommunications
Business Operations
Real-time
Batch Processing
Agile
Sprint
Functional Programming
Apache Spark
Streaming
Scala
Migration
Performance Tuning
Apache Kafka
Management
Semantics
Orchestration
Kubernetes
Amazon Web Services
Amazon S3
Electronic Health Record (EHR)
SQL
Terraform
Artificial Intelligence
Messaging
Job Details
RESPONSIBILITIES:
Kforce is seeking a Junior Scala Engineer to join our team in support of a major telecommunications client. This is a remote contract opportunity for an early-career engineer who is eager to learn, grow, and make an impact within a large-scale data platform environment.
Summary:
Our client is seeking an engineer with 2-3 years of experience, a strong foundation in Scala, solid familiarity with Kafka, and hands-on experience building streaming data pipelines. This is a highly technical role focused on developing and maintaining scalable, reliable data systems that power critical business operations.
Responsibilities:
* Design and build scalable data pipelines to ingest, transform, and deliver datasets for internal teams and external stakeholders
* Develop and maintain real-time streaming and hourly batch-processing pipelines
* Implement new data exports and update business logic across multiple data feeds
* Contribute to high-volume, billion-scale streaming data infrastructure
* Ensure data accuracy, quality, and integrity throughout ingestion and processing
Typical Day-to-Day:
* Participate in a short morning stand-up (approx. 15 minutes) and a developer sync (10-30 minutes)
* Enjoy focused development time with minimal meetings outside weekly team syncs
* Work within a 2-week agile sprint cycle with Tuesday production releases during business hours
* Core working hours follow Mountain Standard Time (MST)
* Participate in an on-call rotation (Mon-Fri, 8am-7pm MST, approximately once every six weeks)
REQUIREMENTS:
* 2-3 years of professional Scala development with strong functional programming foundations
* Experience with Apache Spark Structured Streaming (Scala) including migrations, new feature development, and performance optimization
* Hands-on experience with Apache Kafka, including producer/consumer offset management and at-least-once/at-most-once semantics
* Familiarity with container orchestration concepts (Kubernetes preferred)
* Basic exposure to AWS services (S3, Athena, Lambda, IAM, EMR)
* Strong SQL skills for data exploration and validation
* Experience supporting large-scale or high-volume data pipelines
* Comfortable working in a Mac development environment
* Nice to have: Experience with Terraform
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 is seeking a Junior Scala Engineer to join our team in support of a major telecommunications client. This is a remote contract opportunity for an early-career engineer who is eager to learn, grow, and make an impact within a large-scale data platform environment.
Summary:
Our client is seeking an engineer with 2-3 years of experience, a strong foundation in Scala, solid familiarity with Kafka, and hands-on experience building streaming data pipelines. This is a highly technical role focused on developing and maintaining scalable, reliable data systems that power critical business operations.
Responsibilities:
* Design and build scalable data pipelines to ingest, transform, and deliver datasets for internal teams and external stakeholders
* Develop and maintain real-time streaming and hourly batch-processing pipelines
* Implement new data exports and update business logic across multiple data feeds
* Contribute to high-volume, billion-scale streaming data infrastructure
* Ensure data accuracy, quality, and integrity throughout ingestion and processing
Typical Day-to-Day:
* Participate in a short morning stand-up (approx. 15 minutes) and a developer sync (10-30 minutes)
* Enjoy focused development time with minimal meetings outside weekly team syncs
* Work within a 2-week agile sprint cycle with Tuesday production releases during business hours
* Core working hours follow Mountain Standard Time (MST)
* Participate in an on-call rotation (Mon-Fri, 8am-7pm MST, approximately once every six weeks)
REQUIREMENTS:
* 2-3 years of professional Scala development with strong functional programming foundations
* Experience with Apache Spark Structured Streaming (Scala) including migrations, new feature development, and performance optimization
* Hands-on experience with Apache Kafka, including producer/consumer offset management and at-least-once/at-most-once semantics
* Familiarity with container orchestration concepts (Kubernetes preferred)
* Basic exposure to AWS services (S3, Athena, Lambda, IAM, EMR)
* Strong SQL skills for data exploration and validation
* Experience supporting large-scale or high-volume data pipelines
* Comfortable working in a Mac development environment
* Nice to have: Experience with Terraform
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.