Data Engineer

Description

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, and operate sustainably. 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.

The National Security Sector at Leidos currently has an opening for a Data Engineer with a strong background in data analytics to support an exciting DHS software development program.In this role, you will work alongside various business process stakeholders and application developers to provide data necessary for decision support tools across an array of operational functions. The ideal candidate will have solid core skills and proven history in implementing appropriate modeling and data science strategies required to address customer needs. This role requires a strong foundation in Data Science concepts, Python programming experience, and the ability to work in fast-paced collaborative development teams.

Primary Responsibilities

• Conducting data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis to transform data into narrative products for informed decision making.

• Designing and building data management systems, collaborating with data users to optimize architectures and systems.

• Selecting and configuring backend database technologies and optimizing scalable, efficient data pipelines to ingest, process, and transform structured and unstructured data infrastructure for intelligence needs.

• Implementing automated processes for integrating various datasets, conducting scalable data research, and developing scripts to handle data efficiently.

• Collaborating with collection managers and computer scientists to design new data processes and generate algorithms for automated collection strategies

• Participating in briefings, meetings, conferences, and working groups to provide advice and resolve issues as requested by the Government.

• Support multiple simultaneous projects and take open-ended or high-level guidance, independently and collaboratively make discoveries that are mission-relevant, and package and deliver the findings to a non-technical audience.

Basic Qualifications

• Bachelors degree and 6-8 years of relevant experience in Statistics, Mathematics, Data Analytics, or a related analytical field

• US Citizen

• Ability to get/maintain Public Trust clearance

• Strong understanding of data modeling, data warehousing, and database design principles

• Skilled in relational databases, SQL, and API-based data querying

• Experience developing predictive algorithms, image classifiers, object detectors, and others

• Proficiency in data visualization and graphical applications (PowerBI, etc)

• Experience with major data science languages such as R and Python

• Ability to manage and merge disparate data sources using R, Python, or SQL

Preferred Qualifications

• Exceptional coordination and collaboration skills

• Track record of active learning and creative problem solving

• Familiarity using GIT, SVN, Jira, or other version control technologies

• Experience with Azure cloud data analytics tools

At Leidos, we don't want someone who "fits the mold"-we want someone who melts it down and builds something better. This is a role for the restless, the over-caffeinated, the ones who ask, "what's next?" before the dust settles on "what's now."

If you're already scheming step 20 while everyone else is still debating step 2... good. You'll fit right in.

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

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.

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