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Sr Data Engineer Jobs in Georgia (NOW HIRING)

Senior Data Engineer

Alpharetta, GA · On-site

$103K - $140K/yr

Senior AI Data Engineer Location: Atlanta, GA (Hybrid) Organization: RIB North America (RIB NAM) Overview Are you a Data Engineer passionate about being part of an Agentic AI transformation journey ...

Senior Data Engineer

Alpharetta, GA · On-site

$103K - $140K/yr

Senior AI Data Engineer Location: Atlanta, GA (Hybrid) Organization: RIB North America (RIB NAM) Overview Are you a Data Engineer passionate about being part of an Agentic AI transformation journey ...

SR Data Engineer

Atlanta, GA · On-site

$112K - $134K/yr

Summary/Objective Alliance Technical Group is seeking an experienced Senior Data Engineer to design, build, and optimize the databases and data systems that power our business intelligence and ...

Senior Data Engineer

Atlanta, GA · On-site

$139K - $230K/yr

As a Senior Data Engineer you will accelerate growth and transformation of our analytics landscape. You will bring a strong desire to guide team members' growth and develop data solutions that ...

Senior Data Engineer

Atlanta, GA

$101K - $138K/yr

Job brief: We're seeking a Senior Data Engineer to design, build, and operate large-scale, data-intensive platforms in the cloud. In this role, you'll be responsible for developing reliable data ...

Data Engineer III/Senior (Analytics)

Ellenwood, GA · On-site

$92K - $125K/yr

A Successful Data Engineer III / Senior Data Engineer: * Building enterprise analytics solutions using Microsoft Fabric, Databricks, SQL, Python, and Power BI. * Design and develop semantic models ...

Data Engineer III/Senior (Analytics)

Ellenwood, GA · On-site

$92K - $125K/yr

A Successful Data Engineer III / Senior Data Engineer: * Building enterprise analytics solutions using Microsoft Fabric, Databricks, SQL, Python, and Power BI. * Design and develop semantic models ...

Senior Data Engineer

Atlanta, GA · On-site

$101K - $138K/yr

Job brief: We're seeking a Senior Data Engineer to design, build, and operate large-scale, data-intensive platforms in the cloud. In this role, you'll be responsible for developing reliable data ...

Senior Data Engineer

Atlanta, GA · On-site

$101K - $138K/yr

At Sovos, we're building a world-class financial data platform to support a global tax compliance leader - and the Senior Data Engineer is the foundation it all runs on. In this role, you'll own the ...

Sr Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Data Engineering Lead (Marketing) Position Description (General role information, job purpose, main objectives of the role) Location: Atlanta, GA Duration: FULL TIME / C2H Mode: Hybrid ( 3 days a ...

Online Senior Data Engineer

Atlanta, GA · On-site

$108K - $130K/yr

The Sr Data Engineer position creates and establishes design standards and assurance processes for software, systems and applications development to ensure compatibility and operability of data ...

Sr Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Data Engineering Lead (Marketing) Position Description (General role information, job purpose, main objectives of the role) Location: Atlanta, GA Duration: FULL TIME / C2H Mode: Hybrid ( 3 days a ...

Sr. Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

We are seeking a motivated Data Engineer to join our team and support the modernization of our data estate. This role focuses on assisting with data pipeline development, migration of legacy systems ...

Sr. Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

... Data Prep/Train tools: Azure Databricks (ADB), Azure Stream Analytics, • Developer experience using Azure Databases: SQL databases, SQL servers, Azure Synapse Analytics, Azure SQL, Dedicated SQL ...

Senior Data Engineer - Technology

Duluth, GA · On-site

$97K - $132K/yr

Position Summary We are seeking a Senior Data Engineer to own and modernize our data pipeline architecture. The immediate mission: migrate ETL workloads out of Redshift stored procedures and legacy ...

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Senior Data Engineer Experience Level: 5+ yrs Work Location: Atlanta, GA Role Overview As a Senior Data Engineer, you will design and build scalable, production-grade data platforms and pipelines ...

Showing results 41-60

Sr Data Engineer information

See Georgia salary details

$68.4K

$106.7K

$147.8K

How much do sr data engineer jobs pay per year?

As of Sep 1, 2026, the average yearly pay for sr data engineer in Georgia is $106,669.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,500.00 and $121,600.00 per year, depending on experience, location, and employer.

What is a Sr data engineer?

Sr Data Engineers, or Senior Data Engineers, are experienced professionals responsible for designing, building, and maintaining scalable data pipelines and architectures. They work with large datasets, ensuring data quality, reliability, and accessibility for analytics and business intelligence purposes. Sr Data Engineers collaborate with data scientists, analysts, and other stakeholders to implement data solutions that support decision-making and business growth. Their expertise often includes proficiency in programming languages like Python or Java, experience with big data tools such as Hadoop or Spark, and a deep understanding of database systems.

How do Sr data engineers typically collaborate with data scientists and analysts within a project team?

Sr Data Engineers play a crucial role in bridging the gap between raw data and actionable insights. They work closely with data scientists and analysts to understand data requirements, design robust data pipelines, and ensure the reliability and scalability of data infrastructure. Regular collaboration involves translating analytical needs into technical specifications, optimizing data flow, and troubleshooting data issues. This teamwork ensures that data-driven projects progress smoothly and that the analytical team has timely access to clean, well-structured data.

What are the key skills and qualifications needed to thrive as a Sr data engineer, and why are they important?

To thrive as a Sr Data Engineer, you need expertise in data architecture, ETL processes, programming (such as Python or Scala), and a strong background in computer science or a related field. Familiarity with big data technologies like Hadoop, Spark, cloud platforms (AWS, Azure, GCP), and database management systems, along with relevant certifications, is typically required. Advanced problem-solving abilities, attention to detail, and strong collaboration skills help set top performers apart in this role. These skills and qualities ensure the efficient design, implementation, and maintenance of robust data pipelines that enable data-driven decision-making across the organization.

What is the difference between Sr Data Engineer vs Data Engineer?

AspectSr Data EngineerData Engineer
Required CredentialsBachelor's degree in CS or related field; 3+ years experience; SQL, Python, SparkBachelor's degree in CS or related field; 1-3 years experience; SQL, Python, Spark
Work EnvironmentCollaborates with data scientists, analysts; designs scalable data pipelinesBuilds and maintains data pipelines; supports data analysis
Employer & Industry UsageTech companies, finance, healthcare; used for complex data projectsStartups, enterprises; used for data collection and processing

The main difference between a Sr Data Engineer and a Data Engineer lies in experience level, responsibilities, and complexity of projects. Sr Data Engineers typically have more experience, handle more complex data architecture, and mentor junior staff, whereas Data Engineers focus on building and maintaining data pipelines. Both roles are essential in data-driven organizations, but the senior role involves greater technical leadership and strategic planning.

What cities in Georgia are hiring for Sr Data Engineer jobs?

Cities in Georgia with the most Sr Data Engineer job openings:

Infographic showing various Sr Data Engineer job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $106,669 per year, or $51.3 per hour.

Senior Data Engineer

Aveva

Alpharetta, GA • On-site

$103K - $140K/yr

Full-time

Re-posted 23 days ago


Job description

Driven by transformative digital technologies and trends, we are RIB and we've made it our purpose to propel the industry forward and make engineering and construction more efficient and sustainable. Built on deep industry expertise and best practice, and with our people at the heart of everything we do, we deliver the world's leading end-to-end lifecycle solutions that empower our industry to build better.

With a steadfast commitment to innovation and a keen eye on the future, RIB comprises over 2,500 talented individuals who extend our software's reach to over 100 countries worldwide. We are experienced experts and professionals from different cultures and backgrounds and we collaborate closely to provide transformative software products, innovative thinking and professional services to our global market. Our strong teams across the globe enable sustainable product investment and enhancements, to keep our clients at the cutting-edge of engineering, infrastructure and construction technology.

We know our people are our success - join us to be part of a global force that uses innovation to enhance the way the world builds.

Find out more at RIB Careers.

Senior AI Data Engineer

Location: Atlanta, GA (Hybrid)
Organization: RIB North America (RIB NAM)

Overview

Are you a Data Engineer passionate about being part of an Agentic AI transformation journey and playing a meaningful, hands-on role?

We are looking for a Senior AI Data Engineer to design and build scalable, secure, and high-performance data platforms that power next-generation AI applications. This role focuses on making enterprise data AI-ready by building robust data pipelines, enabling real-time data access, and supporting advanced use cases such as Generative AI, Retrieval-Augmented Generation (RAG), and intelligent applications.

You will collaborate closely with AI engineers, data engineers, and product teams to deliver reliable, production-grade data solutions within a modern Azure-based ecosystem.

Why Join Us

  • Work on cutting-edge AI / Agentic AI initiatives

  • Build enterprise-scale AI-ready data platforms

  • Collaborate with global teams across North America, Europe, and APAC

  • Influence architecture, standards, and technical direction

Key Responsibilities

  • Build Data Ingestion Pipelines: Develop robust pipelines to extract data from various sources (databases, APIs, flat files) supporting SpecLink AI and related platforms

  • Data Transformation & Processing: Implement scalable transformation and data quality processes to make raw data usable for AI workloads

  • Data Loading & Indexing: Design and manage pipelines that load processed data into storage systems, search indices, and vector stores

  • Real-Time & Incremental Processing: Enable streaming and near real-time data pipelines where required by AI systems

  • Pipeline Orchestration & Automation: Implement scheduling, orchestration, and monitoring of data workflows

  • Data Integration & APIs: Develop integration components and APIs to support real-time and on-demand data access

  • Testing, Validation & Observability: Implement data quality checks, monitoring, and alerting for pipeline reliability

  • Performance Optimization: Continuously optimize pipelines for performance, scalability, and cost efficiency

  • Collaboration: Partner with global Data Engineering teams, R&D, and AI architects to implement RAG and AI data solutions

  • Documentation & Maintainability: Document data models, pipelines, dependencies, and operational processes

  • Operational Ownership: Monitor pipelines in production and handle post go-live maintenance and improvements

Required Experience & Skills

  • 6-10+ years of experience in Data Engineering or related roles

  • Strong hands-on experience building end-to-end, production-grade data pipelines

  • AI Tooling Exposure- Hands-on exposure to tools such as GitHub Copilot, Claude Code, Cursor, or similar AI-assisted development tools

  • Data Engineering Fundamentals: SQL, data modelling (dimensional, normalized, Lakehouse)

  • Azure Data Platform: Synapse, Data Factory / Fabric, Azure SQL, Cosmos DB

  • Understanding of Modern Data Architecture: Lakehouse, Medallion architecture, Delta / Iceberg, batch + streaming

  • AI Data Infrastructure: Vector databases, embeddings, RAG indexing, unstructured data pipelines

  • Real-Time & Event-Driven Systems: Streaming, event-driven pipelines, asynchronous workflows

  • Data Quality & Observability: Data freshness, retrieval quality, monitoring, SLAs, and cost tracking

  • AI Evaluation Pipelines: Golden datasets, benchmarking, regression datasets

  • Strong experience with MS SQL, Azure SQL, or Cosmos DB

  • Exposure to building pipelines for AI/ML or Agentic AI use cases

  • Solid understanding of incremental loads, CDC, and performance tuning

  • Knowledge of Azure security (Managed Identity, RBAC, Key Vault)

Soft Skills:

  • Strong communication and stakeholder collaboration

  • Ability to work in a fast-paced, cross-functional environment

  • Ownership mindset with focus on business impact and delivery

Nice to Have

  • Experience with event-driven architecture and asynchronous processing

  • Familiarity with CI/CD pipelines, DevOps practices, and Git-based workflows

RIB may require all successful applicants to undergo and pass a comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third party personal data may involve additional background check criteria.

RIB is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business.

Come and join RIB to create the transformative technology that enables our customers to build a better world.