*** This position is contingent upon a contract award ***

 SOSi is seeking a Data Engineer - Mid supporting the United States Army Intelligence and Security Command (INSCOM) to provide the Army Intelligence Enterprise Global Information Services (AIEGIS) Data Science Support. This position will support INSCOM HQ and affiliated units both in the Continental United States (CONUS) and Outside the Continental United States (OCONUS)

Position is available in multiple CONUS & OCONUS locations with up to 25% travel.

Army Intelligence is modernizing and transforming to support Multi-Domain Operations (MDO) objectives required for large-scale combat operations (LSCO) to enable commanders to see farther, understand sooner, and share wider than ever before. Our team will provide support for the digital strategy to consolidate separate staff-managed digital services under an Army Intelligence Enterprise (AIE) service delivery activity.  As necessary, we administer products and services required by AIEGIS to provide value for the Army Intelligence mission by applying data science approaches to intelligence problems to support commander decisions.

• Discover opportunities for data acquisition, identify relevant data sources and sets and shall provide data system enhancements as required, including but not limited to product reformatting and data quality assessments to support the acquisition of new datasets.
• Design, develop, test and manage the overall architecture that helps analyze and process data in accordance with unit’s SOPs, TTPs and other such templates.
• Integrate external or new datasets into existing data pipelines.
• Process, clean, and verify the integrity, accuracy, completeness, and uniformity of data and system enhancements.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques and perform all network administration and data system operations (e.g., computer and peripheral device operations, system backups) and any related operations associated with data acquisition, data maintenance, maintaining and updating metadata, and other data and information services for stakeholders.
• Develop, construct, test and maintain databases.
• Build data and analytics tools that will offer deeper insight into the pipeline, allowing for critical discoveries surrounding key performance indicators and customer activity.
• Recommend and implement ways to improve data reliability, efficiency, and quality: evaluate, compare and improve the different approaches including design patterns innovation, data lifecycle design, data ontology alignment, annotated datasets, and elastic search approaches.
• Work as the lead data strategist, identifying and integrating new datasets that can be leveraged.
• Document all processes, models and activities to ensure that the application created will receive an authority to operate (ATO).
• Maintain currency with latest tradecraft and technology.
• Work closely with systems architects, data scientists, and analysts to direct and optimize the flow of data within the pipeline and ensure consistency of data delivery and use across multiple projects.
• Curate and collect the data from a variety of traditional and non-traditional sources: extract data from sources, transform and integrate data in line with existing data, and load data into data stores for access by others.

• Active in scope TS/SCI clearance with the ability to obtain a CI polygraph
• BS in Computer Science, Information Systems or equivalent field with at least 4 years of experience conducting work relevant to the specific labor category
• Experience within the last 2 years in a similar data engineer role.
• OR, AA in Computer Science, Information Systems or equivalent field and 6 years of experience in a similar data engineer role.
• Two years of experience handling databases and software development is preferred.
• Data pipeline/workflow management tools such as but not limited to Apache NIFI, Apache Kafka, Azkaban and Airflow and cloud services such as AWS, EC2, EMR, RDS and Redshift.
• Know basics of algorithms and data structures, distributed computing, Hadoop cluster management, HDFS, MapReduce, stream-processing solutions such as Storm or Spark, big data querying tools, frameworks, messaging systems, and big data toolkits.
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Knowledge of ETL tools, data APIs, data modeling, and data warehousing solutions. R, Python, Ruby, C++, Perl, Java, SAS, SPSS, and Matlab.
• Strong interpersonal skills and ability to project manage and work with cross-functional teams.
• Demonstrated ability to work with enterprises to develop processes that support data transformation, data structures, metadata, dependency, and workload management.
• Comfortable working in a dynamic environment with several ongoing concurrent projects; able to multitask, prioritize, and manage time effectively.
• Excellent written and verbal communication skills; good interpersonal skills and communication with all levels of leadership.
• A drive to learn and master new technologies and techniques; desire to maintain currency on latest industry trends including completing additional training; able to articulate trends and potential clearly and confidently.
• Creative problem solver who thrives when presented with a challenge; able to analyze problems and strategize for better solutions; strong problem solving skills with an emphasis on production for re-use.
• Goal-oriented, encouraging to team and staff; comfortable as a team-player, leader and mentor.

• MS in Computer Science, Information Systems or equivalent field and 5+ years of experience in a similar data engineer role
• Five years intelligence analysis experience is desired (MOS 35/350 series or other DoD/IC equivalent)
• Fluency in a foreign language is desirable, but not required

• Fast-paced, deadline-driven environment
• Must be comfortable working in a multi-cultural environment
• Some evening, weekend, or shift work could be required
• Some travel may be required

SOSi is an equal employment opportunity employer and affirmative action employer. All interested individuals will receive consideration and will not be discriminated against on the basis of race, color, religion, sex, national origin, disability, age, sexual orientation, gender identity, genetic information, or protected veteran status. SOSi takes affirmative action in support of its policy to advance diversity and es affirmative action in support of its policy to advance diversity and inclusion of individuals who are minorities, women, protected veterans, and individuals with disabilities.