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Senior Big Data Engineer Jobs in Georgia (NOW HIRING)

krg technology inc

Sr. Big Data Developer

Atlanta, GA

$51 - $66/hr

Years of Experience - 7+ Mandatory Skills - Java, Oracle, SQL , Green Plum Good Communication skill, Onsite experience Senior Big Data Technology Developer will be responsible for technically leading ...

NAVA Software Solutions

Big Data Engineer

Atlanta, GA · On-site

$53.50 - $71/hr

Big Data Engineer Location: Atlanta GA - Hybrid Duration: 12 months The successful candidate must have Big Data engineering experience and must demonstrate an affinity for working with others to ...

R2 Technologies Corporation

Big Data Engineer

Alpharetta, GA · On-site

$54.50 - $72/hr

Overview: Big Data Engineer Joining Location: Remote due to Covid but eventually (Alpharetta, GA) # of Positions: 1 Client is a leading provider of platforms, digital innovation, artificial ...

Tror AI for everyone

Big Data Developer

Atlanta, GA · On-site

$51 - $66/hr

Big Data Developer Location: Georgia (GA) Work Authorization: Only USC / GC Experience: 8+ Years Job Summary We are seeking an experienced Big Data Developer with strong expertise in Google Cloud ...

Arete Technologies, Inc.

Big Data Hadoop

Atlanta, GA · On-site

Lead Big Data engineering team with specialization on data ingestion (from 100+ source systems in batch and near real-time), egestion and governance. Participate in collaborative software and system ...

SmartIT Frame

AWS Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Qualifications (Data Engineer/Python Developer) * 10+ years hands-on Python development experience for big data application. * Extensive working experience in implementing scalable and efficient data ...

Smart IT Frame

AWS Data Engineer

Atlanta, GA · On-site

$80K - $120K/yr

Qualifications (Data Engineer/Python Developer) * 10+ years hands-on Python development experience for big data application. * Extensive working experience in implementing scalable and efficient data ...

Centraprise LLC

AWS Data Engineer

Alpharetta, GA · On-site

$100K - $120K/yr

Qualifications (Data Engineer/Python Developer) * 10+ years hands-on Python development experience for big data application. * Extensive working experience in implementing scalable and efficient data ...

The Data Sherpas

Data Engineer - GCP

Atlanta, GA · On-site +1

$110K - $132K/yr

Our Google Cloud Data Engineer will play a key role in designing, developing, and managing scalable ... The ideal candidate will bring strong expertise in cloud-based data processing, big data ...

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Senior Big Data Engineer information

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$13

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How much do senior big data engineer jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for senior big data engineer in Georgia is $53.18, according to ZipRecruiter salary data. Most workers in this role earn between $45.24 and $59.86 per hour, depending on experience, location, and employer.

What is a senior big data engineer?

Senior Big Data Engineers are advanced-level professionals who design, build, and maintain large-scale data processing systems. They work with technologies such as Hadoop, Spark, and NoSQL databases to handle massive amounts of data efficiently. Their responsibilities often include optimizing data pipelines, ensuring data quality, and collaborating with data scientists and analysts to support business needs. Senior Big Data Engineers also mentor junior team members and help drive architectural decisions related to data infrastructure.

What skills and qualifications are needed to be a senior big data engineer?

To thrive as a Senior Big Data Engineer, you need advanced expertise in data architecture, distributed computing, and programming languages such as Java, Scala, or Python, typically backed by a degree in computer science or a related field. Familiarity with big data technologies like Hadoop, Spark, Kafka, and cloud platforms, as well as relevant certifications (e.g., Cloudera, AWS), is highly valuable. Strong problem-solving, communication, and leadership skills set outstanding candidates apart, especially when collaborating with cross-functional teams. These competencies are critical for designing scalable data solutions, ensuring data quality, and driving impactful business insights.

How does a senior big data engineer collaborate with data scientists and business stakeholders?

As a Senior Big Data Engineer, you'll frequently work alongside data scientists to design and maintain data pipelines that ensure reliable and accessible data for modeling and analytics. Collaboration with business stakeholders is also essential, as you'll help translate business requirements into technical data solutions, ensuring that data architecture supports organizational goals. Regular meetings, code reviews, and cross-team project planning are common, making strong communication and a collaborative mindset vital for success in this role.

What is the difference between Senior Big Data Engineer vs Data Architect?

AspectSenior Big Data EngineerData Architect
CredentialsBachelor's/Master's in CS, Data Science, or related; experience with Hadoop, SparkBachelor's/Master's in CS, Data Science, or related; certifications like TOGAF, cloud architecture
Work EnvironmentDevelops, implements, and maintains data pipelines and systemsDesigns overall data infrastructure and architecture strategy
Employer & Industry UsageTech companies, finance, healthcare, retailLarge enterprises, consulting firms, cloud providers
Search & Comparison IntentUnderstanding technical roles, skills, and responsibilitiesFocus on data system design and strategic planning

While both roles work with data systems, a Senior Big Data Engineer primarily develops and maintains data pipelines and systems, whereas a Data Architect designs the overarching data infrastructure and strategy. The roles often collaborate but differ in scope and focus within data management.

What are the most commonly searched types of Big Data Engineer jobs in Georgia?

The most popular types of Big Data Engineer jobs in Georgia are:

What are popular job titles related to Senior Big Data Engineer jobs in Georgia?

For Senior Big Data Engineer jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Senior Big Data Engineer jobs in Georgia look for?

The top searched job categories for Senior Big Data Engineer jobs in Georgia are:

What cities in Georgia are hiring for Senior Big Data Engineer jobs?

Cities in Georgia with the most Senior Big Data Engineer job openings:

Senior Big Data Engineer jobs near you
Infographic showing various Senior Big 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 $110,615 per year, or $53.2 per hour.

Senior Big Data Engineer (AWS EMR & Spark) - Q125

R2 Technologies Corporation

Alpharetta, GA • On-site

$54.50 - $72/hr

Full-time

Medical, Retirement, PTO

Re-posted 22 days ago

Job description

Overview:
R2 Technologies Corporation (R2), headquartered in Alpharetta, GA, is a leading IT services provider specializing in Java, .NET, Big Data, Cloud Computing (AWS, GCP, Azure), Artificial Intelligence (AI), Machine Learning (ML), software development, project management, SAP, and enterprise resource planning (ERP). We empower clients-from startups to Fortune 1000 companies-with scalable, platform-based solutions and data-driven insights using modern cloud technologies. Our commitment to blending highly skilled talent with innovative productivity platforms ensures rapid delivery of business value, making us one of the most respected and trusted technology companies in the United States. At R2, we're passionate about driving operational excellence and competitive advantage for our clients through cutting-edge AI, ML, and cloud solutions. Join our team and help shape the future of technology innovation!
Senior Big Data Engineer (AWS EMR & Spark)
Location: Alpharetta, GA (willing to travel to client locations)
Employment Type: Full-Time (W2)
Role Overview
We are seeking an experienced Senior Big Data Engineer to design and implement large-scale data solutions using AWS EMR and Spark. This role focuses on building efficient ETL processes and data pipelines to support enterprise analytics and insights.
Key Responsibilities
  • Design and develop scalable data pipelines using AWS EMR and Apache Spark for processing large datasets.
  • Implement ETL workflows to transform and integrate data from various sources into actionable insights.
  • Optimize Spark jobs on AWS EMR clusters for performance, cost-efficiency, and reliability.
  • Collaborate with data analysts and scientists to support advanced analytics and reporting requirements.
  • Ensure data quality, security, and compliance throughout the data lifecycle in cloud environments.
  • Troubleshoot and monitor EMR clusters to maintain high availability and performance under heavy workloads.

Required Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
  • 3 years of experience as a Big Data Engineer with expertise in AWS EMR and Spark.
  • Proficiency in building and optimizing ETL processes and data pipelines for large-scale datasets.
  • Strong understanding of distributed computing principles and big data architectures.
  • Experience with AWS cloud services for data storage and processing (e.g., S3, Glue).

Preferred Qualifications
  • Familiarity with advanced AWS services like AWS Redshift or Lambda for integrated data workflows.
  • Exposure to data lake architectures and tools like Delta Lake for enhanced data management.
  • Knowledge of scripting languages like Python or Scala for Spark job development.

Compensation & Benefits
  • Competitive salary and comprehensive benefits package (healthcare, PTO, 401k).
  • Opportunities for professional growth and upskilling in AI and cloud technologies.

R2 Technologies Corporation is an equal opportunity employer and values diversity in the workplace.
Skills:
Big Data, Data Engineer, AWS EMR, Spark, ETL, Data Pipeline

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