Data Engineer Mid

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!

The Intel Security Sector delivers 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!

The Intel Security Sector at Leidos currently has an opening for a Data Engineer. Are youaData Engineer that likes to work 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 engineering capabilities 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 deploy big data analytic and visualization products 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 to produce and clean large databases provide data processing ensure data quality integrate large data with applications prepare data visualizations and produce dashboards using state 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 on projects analyzing 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 to structured and unstructured 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 and 4 years of experience. Additional years of experience in lieu of degree are acceptable.

• Candidates with a minimum of 3 years of recent experience in the field will be considered.

• 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.

• Experience developing andmaintainingdata pipelines using modern programming languages (e.g. Python Java or similar).

• Experience working with relational and non-relational databases.

• Experience performing data ingestion transformation and processing tasks.

• Experience working with data tools and platforms (e.g. Spark Kafka Airflow or similar).

• Experienceoperatingwithin Agile orSAFeenvironments supporting enterprise systems.

Preferred Experience Skills and Education:

• At least 8 years of experience conducting analysis relevant to the specific labor category with at least a portion of the experience within the last 2 years.

• Desired Education: Bachelors degree in an area related to the labor category from a college or university accredited by an agency recognized by the U.S. Department of Education.

• A significant share of your 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

• Experience supporting data pipelines across multi-enclave DoD environments.

• Experience working with cloud-based data platforms (AWS Azure or GCP).

• Experience supporting AI/ML data preparation and feature engineering workflows.

• Experience working with containerized environments (Docker Kubernetes).

• Familiarity with data governance metadata management and lineage concepts.

• Experience creating dashboards and prototype web applications with technologies such as KibanaTableau of Power BI.

• 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.