Top 8 azure data engineer Jobs in warner robins, ga

Data Engineer
Southern Trust Insurance Company —Macon, GA
- Full-time
- Computer science
- Azure
- Computer Science
- Disability insurance
- Health insurance
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Principal/Sr. Principal Cloud Engineer
Northrop Grumman —Warner Robins, GA
- $103,600 - $193,900 a year
- Overtime
- Windows
- 3 years
- Master's degree
- Paid holidays
- Disability insurance
1d
Senior DevOps Engineer – Data Engineering
innoVet Health, LLC —United States
- From $140,000 a year
- Full-time
- Remote
- HIPAA
- SQL
- AWS
- Health insurance
- Dental insurance
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9d
Automation Engineer
Brook & Whittle Limited —United States
- Full-time
- Remote
- Azure
- Computer Science
- Engineering
- Opportunities for advancement
Automation Lead
CGI Group, Inc. —United States
- $57,100 - $154,300 a year
- Azure
- 8 years
- Continuous improvement
- Paid parental leave
- Paid holidays
3d

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Cyber Protection Principal/Sr. Principal Engineer-AHT
Northrop Grumman —Warner Robins, GA
Hands-on practitioner who has operated tools at depth across real engagements, documented findings under active assessment constraints, and can communicate risk…
$98,400 - $193,900 a year
5d
Cyber Protection Principal/Sr. Principal Engineer-AHT
Northrop Grumman —Warner Robins, GA
Hands-on practitioner who has operated tools at depth across real engagements, documented findings under active assessment constraints, and can communicate risk…
$98,400 - $193,900 a year
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IT Senior Software Engineer
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Degree in Computer Science, Computer Engineering, or related field. Experience with Microsoft tools/environments (SSRS, SSIS, Visual Studio).
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Full Stack Developer (Python/Angular/AI)
Primary Talent Partners —Columbus, OH
Solid technical abilities in software development, testing, monitoring, performance tuning and deployment pipelines.
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2d

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azure data engineer jobs near warner robins, ga

Data Engineer

Southern Trust Insurance Company -
Macon, GA

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Job Details

Full-time

Benefits

Disability insurance
Health insurance
Dental insurance
Flexible spending account
Military leave
Paid time off
Family leave
Paid military leave
Parental leave
Vision insurance
401(k) matching
Life insurance
Referral program

Qualifications

Performance dashboard reports
Data model design
Commercial use (data warehousing systems)
Performance tuning
Cloud analytics services
Data visualization software proficiency
Azure
Incident management
Cloud data warehouses
Tooling
Data retrieval time improvement
Business intelligence report generation
Dashboard creation support
Schema design
Snowflake
Data Architecture Design (Architecture design skills)
ETL process automation
Business intelligence tools
Agile software development
System tuning
Query management
Data analytics technologies
Dimensional modeling

Full Job Description

Data Engineer

Must be located in the Eastern or Central US Time Zone
Travel: Occasional, based on project needs
Reports To: Chief Information Officer

We are seeking a skilled, hands-on Data Engineer to join our team. In this role, you will build, test, and maintain data pipelines and data warehouse components that support our broader data platform. You will help enable data-driven decision-making by ensuring business teams have access to clean, reliable, and well-modeled data.

As a Data Engineer, you will transform raw data into actionable insights by developing scalable pipelines, creating robust data models, and supporting reporting and analytics tools in partnership with the broader team.

Key Responsibilities

Data Platform Development: Build and maintain data pipelines and data warehouse/lakehouse components (data warehouses, lakes, and marts) while following established data governance, security, and privacy controls.
Pipeline Engineering: Develop reliable data ingestion pipelines using scheduled and event-driven patterns. Optimize performance and ensure resilience.
Data Quality & Monitoring: Implement data quality frameworks, validation checks, and safeguards to minimize pipeline failures and data integrity issues.
Architecture & Optimization: Contribute to improving legacy ingestion methods, address technical debt, and support impact assessment for proposed changes in partnership with the team.
Reporting & Visualization: Build custom reports and dashboards using tools like Power BI, Snowflake, etc.
Collaboration & Agile Delivery: Work closely with product owners and cross-functional teams to understand business needs, clarify requirements, and deliver solutions using agile methodologies.
Automation & Efficiency: Identify inefficiencies, automate processes, and recommend improvements to optimize data flows.
Documentation & Standards: Document pipelines, datasets, and data models; follow team standards; and participate in code reviews to improve maintainability and consistency.
Production Support: Provide technical support for production incidents, ensuring system stability and continuous improvement.

Required Qualifications

Experience: 2–4 years in data engineering with experience in Snowflake, SQL, ELT/ETL, dimensional data modeling, data warehousing, and pipeline development.

Technical Skills:

Strong SQL skills with experience in query optimization and basic performance tuning.
Solid understanding of dimensional modeling and core data architecture principles.
Familiarity with Azure cloud services.
Experience with BI tools (Power BI & Snowflake).
Knowledge of Agile/Scrum practices.
Experience building dimensional (Kimball-style) data models.

Soft Skills:

Excellent communication (written and verbal).
Strong problem-solving and incident management capabilities.
High attention to detail and commitment to data accuracy.

Preferred Qualifications

Bachelor’s degree in Computer Science, Information Systems, or related field (or equivalent experience).
Proficiency in programming languages such as Python or Java.
Experience with orchestration tools and CI/CD pipelines (e.g., ADO YAML Pipelines or GitHub Actions).
Familiarity with cloud platforms (Azure) and modern data tools (Snowflake).
Exposure to machine learning/AI concepts.
Experience working with APIs and integrating external data sources.
Background in the insurance industry (including carrier experience) is a plus.

Technical Competencies

Data Engineering: Experience building and supporting data warehouses/lakes, especially on Snowflake and Azure.
Data Integration: Experience developing ELT/ETL pipelines using modern tools and scripting languages.
Data Modeling: Proficient in logical and physical data modeling using relational and dimensional approaches.
Performance Optimization: Experience tuning pipelines and database objects for optimal performance.
Version Control & CI/CD: Familiarity with ADO YAML Pipelines or GitHub Actions and automated deployment practices.
API Integration: Experience implementing and leveraging APIs for data exchange.

Compensation

Commensurate with experience
Performance-based incentives

Benefits Package

401(k) company match up to 6% eligible upon hire
Medical, dental & vision, including company paid Life insurance and long-term disability
Health care flexible spending accounts
Paid time off
Parental & family leave; military leave & pay
Employee Referral Incentive
Career Development & Continuing Education Assistance

Physical Conditions/Requirements

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions. While performing the duties of this position, the employee is regularly required to talk or hear. The employee frequently is required to use hands or finger, handle, or feel objects, tools or controls. The employee is occasionally required to stand; walk; sit; reach with hands and arms; climb or balance; and stoop, kneel, crouch, or crawl. The employee must occasionally lift and/or move up to 25 pounds. Specific vision abilities required by this position include close vision, distance vision, color vision, peripheral vision, and the ability to adjust focus. The noise level in the work environment is usually moderate.

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azure data engineer jobs in warner robins, ga

Data Engineer

Principal/Sr. Principal Cloud Engineer

Senior DevOps Engineer – Data Engineering

Automation Engineer

Automation Lead

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