Systems/Data Engineer

Leidos; McLean (VA); On-site; USD 126,000 - 228,000; Full time

Job summary

A leading company in the National Security Sector is seeking a senior Systems/Data Engineer to support an enterprise IT program. The ideal candidate will assist with strategic planning and oversee implementation of a cloud-based data environment, engage with data scientists and analysts, and ensure smooth data flows. This role requires active TS/SCI clearance and offers a competitive salary range based on qualifications.

Qualifications

• 12+ years of work experience, additional experience may be considered in lieu of a degree.
• Experience with large-scale data migration efforts.
• Experience implementing CI/CD pipelines using industry standard process.

Responsibilities

• Assist with strategic planning and oversee implementation of the client's cloud-based data environment.
• Develop code, data models, and documentation to client standards.
• Provide systems administration and programming support for ETL processes.

Skills

AWS

Python

Bash

Terraform

DevSecOps

SQL

Data Governance

Data Quality

Education

Bachelor's degree

Tools

Apache Nifi

Apache Spark

Databricks

Elastic MapReduce

Glue

Hive

Job description

Systems/Data Engineer

Are you 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, 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.

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

Leidos National Security Sector is seeking a senior Systems/Data Engineer to support an enterprise IT program. We are looking for a candidate to assist with strategic planning and oversee implementation of the client's cloud-based data environment.

Our client supports analysts through the provision of large datasets, methodologies, and data visualizations to address pressing intelligence questions. The program requires support developing and maintaining a cloud-based data environment to transport, store, extract, transform, and load (ETL), and disseminate data solutions. The ideal candidate will bring experience in data engineering, cloud architecture, and application development.

Are you ready to make an impact? Begin your journey of a flourishing and meaningful career, submit your resume to us today!

In this role you will engage regularly with data scientists, analysts, and managers. You will:

• Assist with strategic planning and oversee implementation of the client's cloud-based data environment, to include mapping of data sources and access controls,
• Develop code, data models, and documentation to client standards,
• Provide systems administration and programming support for ETL processes and data infrastructure efforts,
• Train and conduct knowledge transfer to team members on issues and technologies related to client ETL process and administrative duties,
• Coordinate with external data and platform providers to ensure the smooth functioning of the client's systems and data flows, and to accomplish any needed changes and coordinate with experts to assist with technical aspects required to acquire new datasets or data management technologies for inclusion in the client's environment,
• Support the cross-domain transfer and integration of data.

Required Security Clearance:

• Active TS/SCI with Polygraph clearance is required.

Required Experience, Skills, and Education:

• Active TS/SCI with Polygraph security clearance
• Bachelor's degree at 12+ years of work experience, additional experience may be considered in lieu of a degree
• Demonstrated experience serving as a technical liaison between system engineers, data engineers, data scientists, analysts, and non-technical managers and personnel
• Demonstrated experience with AWS cloud services, including long-term storage options, and cloud-based database services such as Databricks or Elastic MapReduce (EMR)
• Demonstrated experience with SQL database structures and mapping between SQL databases
• Demonstrated experience in large-scale data migration efforts
• Demonstrated experience with database architecture, performance design methodologies, and system-tuning recommendations. Preference for familiarity with Glue, Hive, and Iceberg or similar.
• Demonstrated experience with Python, Bash, and Terraform
• Demonstrated experience with DevSecOps solutions and tools
• Demonstrated experience implementing CI/CD pipelines using industry standard process

Desired Experience, Skills, and Education:

• Demonstrated experience with the client’s data environment and on-premises compute structure
• Demonstrated experience with Data Quality and Data Governance concepts and experience
• Demonstrated experience maintaining, supporting, and improving the ETL process through the implementation and standardization of data flows with Apache Nifi and other ETL tools
• Demonstrated experience with Apache Spark

** The posted salary range is based on Leidos job code architecture and does not reflect individual program/contract budgets. This position has the ability to offer a higher salary for fully cleared candidates who meet the position’s posted requirements. **

Original Posting:
February 21, 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 $126,100.00 - $227,950.00

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.

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