Data Engineer

Job Locations US-VA-Tysons
Posted Date 1 month ago(7/13/2020 1:25 PM)
Job ID
# of Openings


The mission of OSD-CAPE is to provide DoD with timely, insightful and unbiased analysis on resource allocation and cost estimation problems to deliver the optimum portfolio of military capabilities through efficient and effective use of each taxpayer dollar. This effort will contribute to the development of a data platform, Enterprise Visibility and Management of Operating and Support Costs (EVAMOSC), that will address known issues with operations and support cost data completeness, accuracy, granularity, and reporting frequency.


  • Design, develop, test and manage the overall data architecture.
  • Develop, construct, test and maintain relational and non-relational databases.
  • Build data pipelines to 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.
  • Process, clean, and verify the integrity, accuracy, completeness, and uniformity of data.
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques.
  • Perform data system operations associated with data acquisition, data maintenance, maintaining and updating metadata, and other data and information services for stakeholders.
  • Build data and analytics tools that will offer deeper insight into the pipeline, allowing for critical discoveries surrounding key performance indicators and customer activity.
  • Collaborate 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 utilization across multiple projects.
  • Give recommendations 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.
  • Document all processes, models and activities.


  • Bachelor's Degree or higher in Computer Science, Information Technology, or software development-related field from an accredited institution. Additional 5 years of experience can be substituted for the bachelor's degree requirement.
  • 5 Years or higher in experience.
  • Data, storage, and compute tools on AWS, such as EC2, RDS, Redshift, and Glue.
  • Know basics of algorithms and data structures, distributed computing, and stream-processing solutions, including Spark.
  • Advanced SQL knowledge and experience working with relational databases, as well as working familiarity with a variety of databases (e.g., NoSQL, graph).
  • 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.
  • Experience writing server-side APIs and using client-side APIs
  • Demonstrated ability to work with enterprises to develop processes that support data transformation, data structures, metadata, dependency and workload management.
  • Comfort working in a dynamic environment with several ongoing concurrent projects; able to multitask, prioritize, and manage time effectively.
  • 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.

EEO Statement

LMI is an Equal Opportunity Employer-all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. 


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LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity, age, national origin, disability, veteran status, or any other factors protected by applicable law.

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