Data Engineer
Company: Leidos
Location: Sterling
Posted on: April 1, 2026
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Job 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 If
you're looking for comfort, keep scrolling. At Leidos, we outthink,
outbuild, and outpace the status quo — because the mission demands
it. We're not hiring followers. We're recruiting the ones who
disrupt, provoke, and refuse to fail. Step 10 is ancient history.
We're already at step 30 — and moving faster than anyone else
dares. Original Posting: October 20, 2025 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. Pay Range: Pay
Range $87,100.00 - $157,450.00 The Leidos pay range for this job
level is a general guideline only and 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.
Keywords: Leidos, Sterling , Data Engineer, IT / Software / Systems , Sterling, Virginia
