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Data Operations Engineer Principal

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USD 120,001.00 - 160,000.00 per year

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Easy Apply

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Data Operations Support Lead

General Dynamics

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Full-time

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SAIC

Job Details

Skills

Big Data
Scalability
Analytics
Apache NiFi
Data Integrity
Regulatory Compliance
Unstructured Data
Data Manipulation
Visualization
Leadership
Real-time
Distribution
Data Processing
Data Flow
Standard Operating Procedure
JD
Security Clearance
Science
Computer Science
Mathematics
Electrical Engineering
Physics
Information Systems
DevOps
Python
Bash
Scripting
Data Science
Data Analysis
Red Hat Linux
Command-line Interface
Microsoft Windows
Data Engineering
Extract
Transform
Load
ELT
Data Quality
JSON
XML
Computerized System Validation
Microsoft Excel
Messaging
Apache Kafka
JMS
Apache Flink
Apache Spark
Streaming
Grafana
Elasticsearch
Snow Flake Schema
Encryption
Authentication
Authorization
Collaboration
Partnership
Information Security Governance
Version Control
Git
Agile
Scrum
Information Technology
Systems Engineering
FOCUS

Big Data
Scalability
Analytics
Apache NiFi
Data Integrity
Regulatory Compliance
Unstructured Data
Data Manipulation
Visualization
Leadership
Real-time
Distribution
Data Processing
Data Flow
Standard Operating Procedure
JD
Security Clearance
Science
Computer Science
Mathematics
Electrical Engineering
Physics
Information Systems
DevOps
Python
Bash
Scripting
Data Science
Data Analysis
Red Hat Linux
Command-line Interface
Microsoft Windows
Data Engineering
Extract
Transform
Load
ELT
Data Quality
JSON
XML
Computerized System Validation
Microsoft Excel
Messaging
Apache Kafka
JMS
Apache Flink
Apache Spark
Streaming
Grafana
Elasticsearch
Snow Flake Schema
Encryption
Authentication
Authorization
Collaboration
Partnership
Information Security Governance
Version Control
Git
Agile
Scrum
Information Technology
Systems Engineering
FOCUS

Summary

Job ID: 2615413

Location: Honolulu, HI, US

Date Posted: 2026-08-11

Category: Information Technology

Subcategory: Big Data Engineer

Schedule: Full-Time

Shift: Day Job

Travel: Yes - 10% of the time

Minimum Clearance Required: TS.SCI

Clearance Level Must Be Able to Obtain: None

Potential for Remote Work: ORA_ON_SITE

Description

We are seeking a Data Operations Engineer to design, build, and maintain real-time and near-realtime data ingestion pipelines supporting a mission-critical system and moves data across security domains using cross domain solutions (CDS) / guards. You will be responsible for the reliable flow of streaming data from a wide range of sources into our data platform, ensuring data quality, observability, and scalability.

You'll partner closely with data engineers, platform engineers, analytics teams, and security/governance personnel to deliver trustworthy, low-latency data that supports operational decisions - while ensuring compliance with cross-domain and data classification requirements. This position is on-site in Honolulu, HI.

Key Responsibilities

Aid the team in delivering continual data feeds to users and monitoring the health of data quality and overall data ingest.
Design, build, and maintain resilient real-time/near-realtime ingestion pipelines using Apache NiFi and REST APIs, with appropriate backpressure, prioritization, retries, and error-handling strategies.
Configure and monitor data flows moving across security domains via cross domain guards/solutions, ensuring data integrity and compliance with transfer policies.
Parse, transform, validate, and route structured and unstructured data in a variety of formats, including Excel, CSV, JSON, and XML.
Employ data manipulation and visualization tools (e.g., Grafana, Prometheus) to effectively convey pipeline status, data quality, and historical trends to leadership, users, and the data team.
Collaborate with platform, software, and other data engineers to (re)configure and continuously improve data ingestion pipeline reliability.
Develop and maintain software/scripts to automate monitoring of real-time feeds and alert on timeliness, volume, lineage, and distribution data issues.
Translate learnings from historical pipeline data into actionable steps to improve data ingest reliability and performance.
Partner with security and governance teams to enforce encryption, authentication, authorization, and data classification requirements across pipelines and cross-domain transfers.
Write and maintain scripts (Python, Bash, or similar) to automate data processing, validation, and monitoring tasks.
Document data flows, system configurations, and standard operating procedures.

Qualifications

TYPICAL EDUCATION AND EXPERIENCE: Bachelors and nine (9) years or more experience; Masters and seven (7) years or more experience ; PhD or JD and four (4) years or more experience.
U.S. Citizenship and an active TS/SCI clearance.
Bachelor of Science degree in Computer Science, Mathematics, Electrical Engineering, Physics, Information Systems, Information Technology, or related field.
3+ years of experience in data engineering, data operations, or DevOps roles supporting production data pipelines.
Proficiency in Python, Bash, or similar scripting languages commonly used in data science/data analytics applications.
Working knowledge of the Linux (RedHat) command line; familiarity with Windows environments.
Solid understanding of data engineering fundamentals: data pipelines, streaming architectures, ETL/ELT concepts, and data quality principles.
Familiarity with JSON, XML, CSV, and Excel data formats, parsing, and transformation.

Preferred Qualifications (Nice to Have)

Experience with streaming/messaging platforms and tools: Kafka, JMS, Apache Flink/Spark Streaming.
Experience with monitoring/observability tools: Grafana, Prometheus, Elasticsearch.
Experience with data platforms such as Snowflake.
Familiarity with cross domain solutions/guards (e.g., data diode concepts, transfer validation, content filtering).
Experience enforcing encryption, authentication/authorization, and data classification policies in partnership with security/governance teams.
Experience with version control tools (e.g., Git) and Agile/Scrum practices.
Prior experience in a government, defense, or intelligence community environment.

Target salary range: $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10111346
Position Id: 2615413
Posted 30+ days ago

Company Info

About SAIC

SAIC® is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.

We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

Go to company profile

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SAIC

Job Details

Skills

Big Data
Scalability
Analytics
Apache NiFi
Data Integrity
Regulatory Compliance
Unstructured Data
Data Manipulation
Visualization
Leadership
Real-time
Distribution
Data Processing
Data Flow
Standard Operating Procedure
JD
Security Clearance
Science
Computer Science
Mathematics
Electrical Engineering
Physics
Information Systems
DevOps
Python
Bash
Scripting
Data Science
Data Analysis
Red Hat Linux
Command-line Interface
Microsoft Windows
Data Engineering
Extract
Transform
Load
ELT
Data Quality
JSON
XML
Computerized System Validation
Microsoft Excel
Messaging
Apache Kafka
JMS
Apache Flink
Apache Spark
Streaming
Grafana
Elasticsearch
Snow Flake Schema
Encryption
Authentication
Authorization
Collaboration
Partnership
Information Security Governance
Version Control
Git
Agile
Scrum
Information Technology
Systems Engineering
FOCUS

Big Data
Scalability
Analytics
Apache NiFi
Data Integrity
Regulatory Compliance
Unstructured Data
Data Manipulation
Visualization
Leadership
Real-time
Distribution
Data Processing
Data Flow
Standard Operating Procedure
JD
Security Clearance
Science
Computer Science
Mathematics
Electrical Engineering
Physics
Information Systems
DevOps
Python
Bash
Scripting
Data Science
Data Analysis
Red Hat Linux
Command-line Interface
Microsoft Windows
Data Engineering
Extract
Transform
Load
ELT
Data Quality
JSON
XML
Computerized System Validation
Microsoft Excel
Messaging
Apache Kafka
JMS
Apache Flink
Apache Spark
Streaming
Grafana
Elasticsearch
Snow Flake Schema
Encryption
Authentication
Authorization
Collaboration
Partnership
Information Security Governance
Version Control
Git
Agile
Scrum
Information Technology
Systems Engineering
FOCUS

Summary

Aid the team in delivering continual data feeds to users and monitoring the health of data quality and overall data ingest.
Design, build, and maintain resilient real-time/near-realtime ingestion pipelines using Apache NiFi and REST APIs, with appropriate backpressure, prioritization, retries, and error-handling strategies.
Configure and monitor data flows moving across security domains via cross domain guards/solutions, ensuring data integrity and compliance with transfer policies.
Parse, transform, validate, and route structured and unstructured data in a variety of formats, including Excel, CSV, JSON, and XML.
Employ data manipulation and visualization tools (e.g., Grafana, Prometheus) to effectively convey pipeline status, data quality, and historical trends to leadership, users, and the data team.
Collaborate with platform, software, and other data engineers to (re)configure and continuously improve data ingestion pipeline reliability.
Develop and maintain software/scripts to automate monitoring of real-time feeds and alert on timeliness, volume, lineage, and distribution data issues.
Translate learnings from historical pipeline data into actionable steps to improve data ingest reliability and performance.
Partner with security and governance teams to enforce encryption, authentication, authorization, and data classification requirements across pipelines and cross-domain transfers.
Write and maintain scripts (Python, Bash, or similar) to automate data processing, validation, and monitoring tasks.
Document data flows, system configurations, and standard operating procedures.

Qualifications

TYPICAL EDUCATION AND EXPERIENCE: Bachelors and nine (9) years or more experience; Masters and seven (7) years or more experience ; PhD or JD and four (4) years or more experience.
U.S. Citizenship and an active TS/SCI clearance.
Bachelor of Science degree in Computer Science, Mathematics, Electrical Engineering, Physics, Information Systems, Information Technology, or related field.
3+ years of experience in data engineering, data operations, or DevOps roles supporting production data pipelines.
Proficiency in Python, Bash, or similar scripting languages commonly used in data science/data analytics applications.
Working knowledge of the Linux (RedHat) command line; familiarity with Windows environments.
Solid understanding of data engineering fundamentals: data pipelines, streaming architectures, ETL/ELT concepts, and data quality principles.
Familiarity with JSON, XML, CSV, and Excel data formats, parsing, and transformation.

Preferred Qualifications (Nice to Have)

Experience with streaming/messaging platforms and tools: Kafka, JMS, Apache Flink/Spark Streaming.
Experience with monitoring/observability tools: Grafana, Prometheus, Elasticsearch.
Experience with data platforms such as Snowflake.
Familiarity with cross domain solutions/guards (e.g., data diode concepts, transfer validation, content filtering).
Experience enforcing encryption, authentication/authorization, and data classification policies in partnership with security/governance teams.
Experience with version control tools (e.g., Git) and Agile/Scrum practices.
Prior experience in a government, defense, or intelligence community environment.

Target salary range: $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

Dice Id: 10111346
Position Id: 2615413
Posted 30+ days ago

Company Info

About SAIC

Go to company profile

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

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