Data Engineer - Multiple Levels (TS/SCI with Poly Required)

About the role

The Red Alpha Data Science practice is seeking a Data Engineer to join our team. This role offers a unique opportunity to contribute to various aspects of the data science lifecycle, including data integration, analysis, and automation.

Responsibilities

• Integrate systems using scripting languages such as R or Python
• Conduct research and analyze large volumes of data from multiple sources
• Employ advanced analytics and machine learning techniques to prepare data for analytical processes
• Explore and examine data for hidden patterns and trends
• Develop and deploy software and scripts to collect and analyze business-relevant metrics
• Identify and implement new approaches to automate data collection, consolidation, and analysis

Requirements

• Proficiency with a scripting language such as R or Python
• Experience with data science techniques and algorithms such as classification, clustering, random forests, and others
• A Bachelor’s degree in Data Science, Mathematics, Computer Science, or a related field
• Entry-level: 0-3 years of experience on Data Science projects
• Mid-level: 3-6 years of experience on Data Science projects
• Senior-level: At least 6 years of experience on Data Science projects with 3 years of experience managing teams
• TS/SCI with Polygraph security clearance

Qualifications

• Bachelor’s degree in Data Science, Mathematics, Computer Science, or a related field
• Exceptional interpersonal skills
• Experience with Java, C, or other compiled languages
• Familiarity with SQL/NoSQL, Spark, Hadoop, JavaScript, and React
• Experience with Agile processes and structures

Skills

• Experience in identifying, developing, and deploying new approaches to automate data collection, consolidation, and analysis
• Proven ability to develop and deploy software and scripts needed to collect business-relevant metrics based on enterprise data

Benefits

• Competitive base salary
• Health, life/disability, and 401k benefits
• Paid time off and floating holidays
• Comprehensive health, dental, and vision insurance
• Professional development opportunities
• Annual training budget
• Company-branded merchandise and gym membership
• Fun company events and activities

Pay

The salary range for this role is $95,000 - $235,000, depending on experience and qualifications.