ETL Data Engineer II

Overview

On Site
$48 - $52 hourly
Contract - W2
Contract - Temp

Skills

Data Migration
Analytics
Management
Collaboration
Workflow
Migration
Database
Database Administration
Data Engineering
SQL
Python
Scripting
Data Processing
Data Architecture
Apache HTTP Server
PySpark
Amazon Web Services
Extract
Transform
Load
Data Warehouse
Snow Flake Schema
Amazon Redshift
GitHub
GitLab
Version Control
Data Visualization
Artificial Intelligence
Messaging

Job Details

RESPONSIBILITIES:
Kforce is immediately seeking an experienced ETL Data Engineer II in support of our enterprise telecommunications and mass media client based in Greenwood Village, CO. Candidates must be local to Denver. Visa sponsorship is not available for this position.

Summary:
In this role, the ETL Data Engineer II will support a large-scale data migration initiative as the organization transitions into a new Snowflake environment. This role is hands-on and focused on rebuilding data connections, ETL pipelines, and tables while supporting modern data infrastructure efforts critical to 2026 initiatives.

Key Responsibilities:
* Develop, maintain, and optimize SQL queries used for daily data operations
* Assist with data movement into a new Snowflake-based environment
* Work with various ETL and data processing frameworks to transform and load data
* Collaborate with data engineering and analytics teams to ensure data accuracy and availability
* Support data warehousing and architectural best practices
* Participate in code management and collaboration workflows as needed

Support rebuilding and migration of:
* ETL pipelines
* Data connections
* Database tables and schemas

REQUIREMENTS:
* Bachelor's degree in a related field or equivalent professional experience
* 5 years of experience in database administration, data engineering, or a related field
* Strong, hands-on SQL experience with daily usage
* Comfortable with advanced joins and complex queries
* Working proficiency in Python, primarily for scripting
* Experience with ETL processes and data processing frameworks
* Experience working with data warehouses and data architecture concepts

Nice to Have:
* Exposure to tools such as Apache-based frameworks, PySpark, AWS Glue, or similar ETL tools
* Experience with data warehouse platforms such as Snowflake, Fabric, Redshift, or similar
* Familiarity with GitHub, GitLab, or similar source control tools
* Exposure to data visualization tools and how they consume data

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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