Location: Remote
As a Data Engineer, you will work hands-on with challenging data engineering, data management, and analytics projects. You will collaborate with data scientists, analysts, business users, and IT teams to design, implement, and deploy data services and analytics.
Do you have what it takes? Are you driven to implement creative solutions that unravel complex and ever-changing challenges? We value passion, curiosity, and perseverance with an ability to communicate ideas and results to diverse audiences. We look for people who thrive in collaborative and independent assignments, have the aptitude to learn new data quickly, and who are willing to mentor junior team members.

Key responsibilities and skills for this position include:

• Must have or be willing to obtain Secret Clearance (this requires US Citizenship)
• Provide expertise on all data concepts for the broader advanced analytics group
• Inspire the adoption of advanced analytics, data engineering and data science across the organization
• Install continuous pipelines of large pools of filtered information so that data analysts/scientists can pull relevant data sets for their analyses
• Familiarity with the manipulation of unstructured data in a data analytics environment
• Proficient in the use of open-source tools, cloud computing, machine learning, and data visualization
• Experience with specialized languages relevant to the technologies employed such as Apache, Hadoop, Python
• Cloud experience: Azure, AWS, or GCP
• Develop and maintain ETL pipelines
• Database design and principles
• Data modeling, schema development, and data-centric documentation
• Experience integrating data from a variety of data source types
• Recommend and advise on optimal data models for data ingestion, integration, and visualization
• Experience improving code performance and query optimization
• Use Continuous Integration/Continuous Delivery (CI/CD) concepts to engineer a standardized data environment
• Outstanding problem-solving skills
• Excellent verbal and written communication skills and the ability to interact professionally with a diverse group, including executives, managers, and subject matter experts
• Minimum of seven (7) years of experience in a corporate setting in the data engineering field, at least three (3) of which must have been in a data analytics environment preferably in DoD or the intelligence community
• Minimum Education: Bachelor’s degree in Computer Science, Mathematics, or comparable academic discipline. A Master’s degree in a relevant field may be substituted for 3 years of general experience
• Acceptable candidates must successfully pass a drug test and background screen

• Must have or be willing to obtain Secret Clearance (this requires US Citizenship)
• Provide expertise on all data concepts for the broader advanced analytics group
• Inspire the adoption of advanced analytics, data engineering and data science across the organization
• Install continuous pipelines of large pools of filtered information so that data analysts/scientists can pull relevant data sets for their analyses
• Familiarity with the manipulation of unstructured data in a data analytics environment
• Proficient in the use of open-source tools, cloud computing, machine learning, and data visualization
• Experience with specialized languages relevant to the technologies employed such as Apache, Hadoop, Python
• Cloud experience: Azure, AWS, or GCP
• Develop and maintain ETL pipelines
• Database design and principles
• Data modeling, schema development, and data-centric documentation
• Experience integrating data from a variety of data source types
• Recommend and advise on optimal data models for data ingestion, integration, and visualization
• Experience improving code performance and query optimization
• Use Continuous Integration/Continuous Delivery (CI/CD) concepts to engineer a standardized data environment
• Outstanding problem-solving skills
• Excellent verbal and written communication skills and the ability to interact professionally with a diverse group, including executives, managers, and subject matter experts
• Minimum of seven (7) years of experience in a corporate setting in the data engineering field, at least three (3) of which must have been in a data analytics environment preferably in DoD or the intelligence community
• Minimum Education: Bachelor’s degree in Computer Science, Mathematics, or comparable academic discipline. A Master’s degree in a relevant field may be substituted for 3 years of general experience
• Acceptable candidates must successfully pass a drug test and background scree