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Benefits offered by this job
Up to 10% in 401k contributions
5 weeks of leave and 11 paid holidays
100% premiums for health, dental, and vision insurance
Annual professional development funding
Company branded merchandise allowance
Various team-building events
Job summary
A leading defense contractor in Maryland is seeking a Data Engineer to work in a collaborative data environment. The ideal candidate will utilize scripting languages, apply data science techniques, and possess a knack for uncovering insights from complex datasets. The role offers a competitive salary, comprehensive benefits, and professional development opportunities. Join the team to contribute to vital missions while enjoying a balance between work and personal life.
Qualifications
Proficiency with R or Python; fundamentals of machine learning expected.
Experience in automating data processes and preparing analytical datasets.
Understanding of statistical techniques required for data analysis.
Responsibilities
Influence and add value in the data science life cycle.
Compose ETL processes to handle data from various sources.
Conduct research to derive insights using advanced analytics.
Skills
Proficiency with a scripting language such as R or Python
Experience with data science techniques and algorithms (classification, clustering, etc.)
Exceptional interpersonal skills
Education
B.S. Degree in Data Science, Mathematics, Computer Science or related field
Tools
Experience with Java, C, or other compiled languages
Experience with SQL/NoSQL, Spark, Hadoop
Familiarity with Docker, GitLab, and React
Job description
A leading defense contractor in Maryland is seeking a Data Engineer to work in a collaborative data environment. The ideal candidate will utilize scripting languages, apply data science techniques, and possess a knack for uncovering insights from complex datasets. The role offers a competitive salary, comprehensive benefits, and professional development opportunities. Join the team to contribute to vital missions while enjoying a balance between work and personal life.