Mission‑Critical Data Engineer (All Levels)

Red Alpha; Dayton (MD); On-site; USD 95,000 - 135,000; Full time

Benefits offered by this job

Up to 10% 401(k) contributions

5 weeks of personal time off

100% coverage of health insurance premiums

$5,250 per year for education and training

Up to $300 per year for branded merchandise

Fun company events throughout the year

Job summary

Red Alpha is looking for a Data Engineer in Dayton, Maryland, to influence and add value in several areas across the data science life cycle. Duties include integrating systems, conducting research with large datasets, and employing advanced analytics.

The ideal candidate has a B.S. degree in a relevant field, proficiency in scripting languages, and can demonstrate experience in data science techniques. This position offers a comprehensive benefits package, including health insurance and professional development support.

Qualifications

• 0-3 years of experience for entry-level data scientists.
• 3-6 years of experience for mid-level data scientists.
• At least 6 years of experience for senior-level data scientists with at least 3 years managing teams.
• A TS/SCI with Polygraph security clearance.

Responsibilities

• Integrate systems using various languages and tools.
• Conduct research and leverage large data volumes.
• Employ sophisticated analytics and statistical methods.
• Explore data for hidden patterns.
• Automate data collection and analysis processes.

Skills

Proficiency with scripting languages (R, Python)

Experience with data science techniques (classification, clustering, etc.)

Exceptional interpersonal skills

Education

B.S. Degree in Data Science, Mathematics, Computer Science or related field

Tools

SQL/NoSQL

Spark

Docker

GitLab

Job description

Red Alpha is looking for a Data Engineer in Dayton, Maryland, to influence and add value in several areas across the data science life cycle. Duties include integrating systems, conducting research with large datasets, and employing advanced analytics.

The ideal candidate has a B.S. degree in a relevant field, proficiency in scripting languages, and can demonstrate experience in data science techniques. This position offers a comprehensive benefits package, including health insurance and professional development support.