Data Engineer Senior

Looking for an opportunity to make an impact

At Leidos we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers success. We empower our teams contribute to our communities andoperatesustainable. Everything we do is built on a commitment to do the right thing for our customers our people and our community. Our Mission Vision and Values guide the way we do business.

If this sounds like the kind of environment where you can thrive keep reading!

TheIntel Security Sectordelivers technology-enabled services and mission software capabilities for defense and intel customers in the areas of cyberlogistics security operations and decision analytics.

Your greatest work is ahead!

TheIntel Security Sectorat Leidos currently has an opening for a Senior youaDataEngineerthat likes towork with big data to produce analysis and visualizations Would you like to support a major program advancing the state of the art in mission-focused big data analytics and predictive analytics Ifso you will be delivering advanced data engineeringcapabilities to push forward national securityobjectives swiftlyproduceand analyze resultsdisseminatefindings and contribute to presentations with actionable intelligence insights. The successful candidate will work on projects to design develop and deploybig data analyticandvisualizationproducts to support DIA/NDOC OSINT production on behalf of the Defense Intelligence Enterprise (DIE). This position will be located at one of our customer sites in Bethesda MD; Reston VA; or Joint Base Anacostia-Bolling DC.

Are you ready for your next career challenge Join a team committed to a Mission!

Responsibilities Include:

• Work closely with a tight-knit team of data scientists as well as a larger team of software developers network engineers senior investigators program managers researchers and data analysts toproduce and clean large databasesprovide data processing ensuredataquality integrate large data with applications prepare data visualizations andproducedashboards usingstate of the art tools and AI/ML techniques.

• Apply software engineering and ETL principles to ensure data accuracy quality consistency and scalability.

• Integrate COTS and customer-developed tools within existing data frameworks to meet operational and analytical requirements.

• Collaborate withDataOpsteams to prepare automate andoptimizedata workflows for real-time analytics.

• Work onprojectsanalyzing a variety of big data covering national security cyber security business intelligence online social media human behavior and more.

• Support multiple simultaneous projects and take open-ended or high-level guidance independently and collaboratively.

• Provide data preprocessing quality checks data integration and visualization creation.

• Develop dashboards with tools like Tableau or Power BI and apply AI/ML modules tostructured andunstructured data analysis.

Clearance Required:

• Active TS/SCI clearance with the ability to obtain andmaintainTS/SCI with Polygraph.

Required Experience Skills and Education:

• Bachelors degree in Computer Science Data Science Engineering Information Systems or related technical discipline.

• Minimum 8 years of experience in the field with at least aportionof the experience within the last 2 years.

• Active TS/SCI clearance with the ability to obtain andmaintainTS/SCI with Polygraph.

• Due to the nature of the government contracts we support US Citizenship is required.

• Proven experience in designing and implementing data pipelines and architectures.

• Experience with data quality monitoring tools and processes.

• Excellent communication and interpersonal skills.

• Experience developing andmaintainingenterprise-scale data pipelines in cloud environments (AWS Azure or GCP).

• Experience implementing ETL/ELT processes and data orchestration frameworks.

• Strong knowledge of ETL processes and data integration techniques.

• Experience working with structured and unstructured data sources including APIs streaming platforms and relational/non-relational databases.

• Experience designing data models to support AI ML and advanced analytics use cases.

• Experience contributing to data product design within a modern data platform architecture.

• Must have an active TS clearance and must be able to achieve a TS/SCI clearance with CI polygraph.

• Proficiencyin one or more scripting languages such as R or Python.

• Experience working with a hybrid team of analyst engineers and developers to conduct research and build and deploy complex but easy-to-use algorithms and analytical platforms.

• Previousexperience performing research and development in data analytics or big data.

• Track recordof active learning and creative problem solving.

• Ability to analyze and assess software development or data acquisition requirements anddetermineoptimum cost-effective solutions.

Preferred Experience Skills and Education:

• Masters degree in Computer Science Data Science Engineering Information Systems or related technical as a substitute to theMastersdegree aBachelors degree in Computer Science Data Science Engineering Information Systems or related technical discipline and 5 years of related senior experience for a total of 17 years.

• Minimum 12 years of experience in the field with at least aportionof the experience within the last 2 years.

• A significant share of your data analytics experience in direct support of military or intelligence community customersdemonstratingprogressive technical development and mission-focused outcomes.

• Significant experiencedealing with at least two of the following data classes: open source publicly available information (PAI); forensic media (i.e. DOMEX); measurement and signatures intelligence (MASINT); or cybersecurity and cyber forensics.

• Significant experiencewith knowledge graphs and related technology such as neo4j.

• Significant experiencewith databases such as SQL NoSQL and specifically Elasticsearch.

• Experience blending analytical methodologies andleveragingexisting COTS/GOTS/FOSS tools in an unconventional manner.

• Familiarityutilizingcontainerization and container orchestration technology and approaches such as Docker and Kubernetes in development and deployment environments.

• Experience with Amazon Web Services (AWS/C2S).

• Familiarity with optimizing machine learning software to take advantage of GPUs.

• Experience creating dashboards and prototype web applications with technologies such as Kibana Apache SupersetStreamlitGradio Plotly DashPower BITableuaetc.

At Leidos the opportunities are boundless. We challenge our staff with interesting assignments that provide them with an opportunity to thrive professionally and personally. For us helping you grow your career is good business. Were excited to learn more about you.

#EWOKS

If youre looking for comfort keep scrolling. At Leidos we outthink outbuild and outpace the status quo because the mission demands it. Were not hiring followers. Were recruiting the ones who disrupt provoke and refuse to fail. Step 10 is ancient history. Were already at step 30 and moving faster than anyone else dares.

Original Posting:

Pay Range:

The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job education experience knowledge skills and abilities as well as internal equity alignment with market data applicable bargaining agreement (if any) or other law.