Leidos Data Engineer Salary?

The average base salary for a Data Engineer is $120,000 - $190,000 / Year at Leidos.

Data Engineer Salary in McLean, VA, USA

The average base salary for a Data Engineer is $120,000 - $190,000 / Year in McLean, VA, USA

Technical Skills Required to Become a Data Engineer ?

To work as a Data Engineer - You must have Degree in a relevant discipline in Degree in Computer Engineering Masters degree

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Looking for a Data Engineer in McLean, VA, USA?

Leidos is currently hiring Data Engineer in McLean, VA, USA and looking for candidates have skills and work experience of 2-4 year.

Does Leidos hire Data Engineer now?

Leidos seeks to hire qualified Data Engineer with at least 2-4 year experience.

Posted on:28 Jan 2023 BACK TO SEARCH

Data Engineer

Leidos

Apply Now

Job Type
Full Time
Experience
2-4 year
Salary
$120,000 - $190,000 / Year
Location

McLean, VA, USA
Job Function

Data Engineer
Industry
Information Technology
Qualification

Degree in Computer Engineering
Masters degree

Key Skills

Java Programming, Python Programming, SQL, AWS, Apache Hadoop, Apache NiFi, Pentaho

Job Description

Leidos seeks a data engineer to provide programming support for loading large volume data collections into a variety of data holding areas both on premises and in the cloud. The successful candidate will join a highly collaborative, cross disciplinary team of data scientists, data engineers, and applications developers to deliver mission critical analytics support to our customer.

Primary Responsibilities:

Must have a Bachelor's degree in a relevant field and minimum of 12 years experience OR a Master's degree and at least 10 years of experience
Must have a TS/SCI with Poly to be considered
Analyze new data collections and determine optimal data ingest processes
Create and maintain NiFi Schemas for new and existing data feeds
Develop tools or modify existing ones to preprocess, modify, aggregate, load, index, and archive data collections into clusters and AWS in near real time
Implement all proper access controls
Generate metrics to track data ingest optimization and ensure data integrity and provenance are maintained
Document data flows

Basic Qualifications:

Experience in Computer Science, Computer Engineering, Systems engineering, or closely related discipline
Extensive experience in Extract-Transform-Load processes
Demonstrated extensive experience with cloud services (AWS strongly preferred)
Demonstrated experience with cloud based database services such as Databricks and EMR
Understanding of SQL database structures and mapping data structures between different SQL databases
Knowledge of API development techniques

Preferred Qualifications:

Demonstrated experience with AWS long-term storage options
Experience with NiFi strongly preferred, but would train if candidate has experience in Java or using Pentaho
Experience working with a Hadoop cluster
Familiarity with open source data engineering tools and processes
Experience designing for intelligence applications

Company Info.

Leidos

Leidos, formerly known as Science Applications International Corporation, is an American defense, aviation, information technology, and biomedical research company headquartered in Reston, Virginia, that provides scientific, engineering, systems integration, and technical services.

Industry

Information Technology
No. of Employees

42,000
Location

La Jolla, San Diego, California, USA
Website

https://www.leidos.com/
Jobs Posted

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Automation Test Engineer

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2-4 year

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2-4 year

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System Administrator - Journeyman

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Colorado Springs, CO, USA

2-4 year

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Data Scientist w/ Top Secret

Leidos

Arlington, VA, USA

8-10 year

Agile methodologies,Analytical and Problem solving,Apache,AWS,Commercial off-the-shelf - COTS tools,Cyber Security,Dash framework,Data blending,Data democratisation,Database,Design,Docker,Elasticsearch,FastAPI,Flask,Git,GPUs,Graph analytics,gRPC,Kibana,Kubernetes-K8s,Machine learning techniques,Mathematics,MLflow,NoSQL,Optimization,plotly,Prototypes,Python Programming,PyTorch,R Programming,REST API,Software Development,SQL,Statistics,Streamlit,Superset

Data Engineer

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