Employer Industry: IT Services

Why consider this job opportunity:
- Competitive pay with opportunities for professional development, including $3,000 annually in training funds
- Comprehensive benefits package through a leading national carrier
- Paid Time Off (PTO) that increases with tenure and generous rollover options
- Hybrid work environment with flexibility to work remotely based on business needs
- 11 company-paid holidays and immediate 401(k) contributions
- Opportunities for career advancement and growth within the organization

What to Expect (Job Responsibilities):
- Design and maintain the organization's data tables to ensure optimal data flow and system performance
- Lead efforts to analyze and resolve complex technical issues in both classified and unclassified environments
- Develop and manage data pipelines for seamless integration across multiple data sources and platforms
- Collaborate with cross-functional teams to support AI/ML initiatives and system enhancements
- Mentor junior analysts and promote a culture of knowledge sharing and professional development

What is Required (Qualifications):
- Must be a U.S. Citizen
- 3+ years of experience in data analysis, data engineering, or a related field
- Advanced proficiency with SQL database systems and data modeling techniques
- Strong coding skills in Python and SQL, with experience in building and optimizing data pipelines
- Experience with cloud platforms (AWS, Azure, or GCP) and CI/CD tools (e.g., Jenkins, GitLab CI)

How to Stand Out (Preferred Qualifications):
- DOD 8570 IAT Level II Certification may be required
- Familiarity with Apache Spark or similar distributed data processing frameworks
- Knowledge of data governance platforms and cloud-based analytics solutions
- Experience with modern BI tools for data visualization
- Awareness of data access control best practices

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