Fayetteville, NC

Developer Jobs in Fayetteville, NC

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Today

Senior Data Engineer

Kentro Fayetteville, NC

Fayetteville, NC

Today

Full time Senior Apache Airflow Big Data

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Job Description

Kentro is seeking a Senior Data Engineer to design, build, and operate data pipelines and data products for USASOC EDAT missions. In this onsite Fayetteville, NC role, you will write production code that brings mission and enterprise data together in a common data environment, supporting analysts and decision-makers with reliable, governed datasets.

What you’ll do

Design, build, test, and maintain scalable batch and streaming data pipelines (ETL/ELT) for classified and air-gapped environments.
Develop transformation logic using Python, SQL, and PySpark to ingest, clean, normalize, and enrich structured and unstructured data.
Integrate data from mission systems, operational applications, databases, APIs, and file-based sources into enterprise data platforms.
Design data models, schemas, and entity relationships for analytics, reporting, and downstream applications.
Build and publish curated datasets and data products, including documentation, versioning, and service-level expectations.
Implement data quality checks, validation, monitoring, and alerting to support pipeline reliability.
Establish and maintain data lineage, metadata, and cataloging aligned with data governance policies.
Apply data security controls such as role-based and attribute-based access, data tagging and labeling, and need-to-know enforcement.
Automate deployment and operations through CI/CD, version control, and infrastructure-as-code practices.
Troubleshoot production issues, conduct root cause analysis, and optimize pipeline performance and cost.
Support deployment of analytics and ML/AI workflows into operational systems.
Collaborate with mission owners, analysts, data scientists, security staff, and system administrators to translate requirements into engineered solutions.

Required qualifications

Bachelor’s degree in computer science, data science, information systems, or a related technical field, plus 7 years of relevant experience.
8140 compliance in certification/training may substitute for a degree.
Meets DoD 8140 foundational and residential qualification requirements for the assigned work role, including approved certification, education, or training. Trainings include: SecurityX / CASP+, CCSP, Cloud+, CSC, GCLD, GCSA, GSEC.
7+ years of professional data engineering experience.
Strong Python and SQL skills demonstrated through production pipelines or applications.
Experience with distributed data processing using PySpark / Apache Spark.
Experience with relational and non-relational data stores, including data modeling and schema design.
Experience integrating multiple source systems into a centralized data platform.
Proficiency in Linux, Git, and CI/CD workflows.
Working knowledge of data governance, data lineage, and metadata management.
Active TS/SCI clearance.
US Citizen.

Technologies you may use

Python, SQL, PySpark, Apache Spark
ETL/ELT, CI/CD, infrastructure-as-code, Git
MSS (Microsoft SQL Server), T-SQL
Linux, Airflow, NiFi, Kafka
Elasticsearch/OpenSearch, graph databases, geospatial data
Docker, Kubernetes, Palantir Foundry, Databricks
JWICS, SIPRNet

Benefits

Competitive benefits package including paid time off
Healthcare benefits
Supplemental benefits
401k with an employer match
Discount perks
Rewards
Education reimbursement for certifications, degrees, or professional development
Funds for activities (virtual and in-person), including happy hours, holiday events, fitness & wellness events, and annual celebrations
Charity galas/events

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3mo ago

Data Engineer

Booz Allen Hamilton Fayetteville, NC

Fayetteville, NC

3mo ago Closed

$78k - $176k/yr Full time Apache Airflow Automation AWS

This position is no longer accepting applications (closed Aug 17, 2026).

Job Description

Booz Allen Hamilton is seeking a Data Engineer for an onsite role in Fayetteville, North Carolina. In this position you will design scalable data platforms and pipelines, migrate data to cloud environments, and implement CI/CD practices while advising on data solutions within a complex enterprise setting. The role carries a salary range of USD 77,500 to 176,000 per year and requires working onsite.

Responsibilities

Design, implement, and maintain scalable data pipelines and platforms.
Build secure and efficient Python code for data processing, automation, and warehousing.
Migrate and integrate data from on premises systems to cloud environments.
Establish CI/CD pipelines to automate build, test, and deployment workflows.
Create SQL scripts and stored procedures for data processing and transformation.
Apply data modeling best practices in schema design.
Support data governance, metadata tagging, and access controls.
Collaborate with cross functional teams to deliver end to end data solutions.
Provide technical guidance in a complex enterprise environment.

Requirements

2+ years of experience as a data engineer supporting large scale enterprise systems.
Experience writing clean, secure, and efficient Python for data engineering use cases.
Experience moving data from on premise environments to the cloud and automating development workflows, including building, deploying, or managing applications.
Experience with CI/CD practices.
Experience with SQL, including stored procedures and data modeling.
Experience with data governance and data tagging.
Knowledge of AWS services such as S3, IAM, EventBridge, Step Functions, or Lambda.
Ability to work independently and manage tasks with minimal supervision.
TS/SCI clearance.
HS diploma or GED.

Technologies

Python
SQL
AWS (S3, IAM, EventBridge, Step Functions, Lambda)
dbt
Airflow
Pipeline Builder
AIP
Foundry
Apache Iceberg
Terraform
CloudFormation
NoSQL databases
Graph databases

Benefits

Health benefits
Life insurance
Disability benefits
Financial benefits
Retirement benefits
Paid leave
Professional development
Tuition assistance
Work-life programs
Dependent care
Recognition awards program

Work Model

Onsite: Work will primarily be performed at a Booz Allen office or customer facility, with collaboration as required by the role.
Hybrid: You may be expected to work from a Booz Allen facility frequently, and may be required to visit a customer facility.
Remote: If listed as remote, there may be occasions where in person work is required at Booz Allen or a customer facility.

Identity Verification

As part of the hiring process, you will complete an identity verification step that uses biometrics and artificial intelligence to confirm authenticity and protect against identity fraud. Interviews and assessments are conducted on camera, and Booz Allen may capture a photograph to verify identity.

Candidate AI Usage Policy

AI tools are part of Booz Allen's daily work, and the company supports responsible use of AI while maintaining a fair candidate process based on your own skills. The use of artificial intelligence or other tools to assist with interview responses is prohibited unless explicit permission is provided.

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Developer Jobs in Fayetteville, NC

Senior Data Engineer

Data Engineer

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