Job Description:

RESPONSIBILITIES:

Kforce has a client that is seeking a Data Engineer in Greenwood Village, CO.

Summary:
We are seeking an experienced ETL Developer to join our dynamic team at a leading telecommunications company. The ideal candidate will be responsible for the full cycle of data processing, including designing, implementing, and maintaining ETL pipelines. This role requires a strong background in Python, Spark, and SQL, with a focus on batch processing and automation. Familiarity with tools such as Airflow and AWS is a plus, as we are continuously improving our data engineering practices.

Responsibilities:

• Data Engineer will design, develop, and maintain ETL pipelines to process and transfer data efficiently


• Work with Spark and Python to create and optimize ETL workflows and data transformations


• Manage and maintain data processing templates, ensuring efficient batch processing of daily data transfers


• Utilize SQL for data manipulation and querying to support data-driven decision-making


• Identify opportunities to automate and streamline data processing tasks to improve efficiency


• As a Data Engineer, you will collaborate with other teams to ensure seamless data integration and processing


• Develop and maintain YAML configurations and CI/CD pipelines for code deployment and management


• Stay up to date with emerging technologies and incorporate them into existing processes where beneficial


• Prepare for the integration of Airflow and contribute to its implementation and usage

REQUIREMENTS:

• Proven experience with Python, Spark, and SQL in a data engineering or ETL development role


• Hands-on experience with batch processing and ETL pipeline development


• Familiarity with YAML and CI/CD practices for code deployment and management


• Strong problem-solving skills and the ability to think critically about improving and automating processes


• Experience with Oracle databases and data processing frameworks

Preferred Skills:

• Experience with AWS and cloud-based data engineering solutions


• Knowledge of Airflow or similar workflow orchestration tools


• Ability to adapt to new technologies and tools as needed

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.

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