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Big Data Engineer Jobs in Atlanta, GA (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Sr. Big Data Developer

Atlanta, GA · On-site

$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 ...

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 ...

Data Engineer - GCP

Atlanta, GA · Remote

$117K - $140K/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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Big Data Engineer information

See Atlanta, GA salary details

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How much do big data engineer jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for big data engineer in Atlanta, GA is $60.57, according to ZipRecruiter salary data. Most workers in this role earn between $51.54 and $68.17 per hour, depending on experience, location, and employer.

What does a Big Data Engineer do?

A Big Data Engineer designs, builds, and manages systems that process and store large volumes of data. They develop data pipelines, integrate data from various sources, and ensure that the infrastructure is scalable, reliable, and efficient. Their work enables organizations to analyze and derive insights from massive datasets, supporting decision-making and business intelligence. Big Data Engineers often work with technologies like Hadoop, Spark, and cloud platforms.

What are the key skills and qualifications needed to thrive as a Big Data Engineer?

To thrive as a Big Data Engineer, you need strong programming skills (often in Python, Java, or Scala), experience with data modeling, and a solid understanding of distributed computing and database systems, typically supported by a degree in computer science or a related field. Familiarity with big data tools and platforms like Hadoop, Spark, Kafka, and relevant cloud services, as well as certifications such as Cloudera or AWS Big Data, is also important. Analytical thinking, problem-solving ability, and effective communication are key soft skills that help bridge technical solutions with business needs. These skills are crucial for designing scalable data pipelines, ensuring efficient data processing, and delivering actionable insights that drive organizational success.

What are some common challenges Big Data Engineers face when working with large-scale data pipelines?

Big Data Engineers often encounter challenges related to optimizing data pipelines for scalability and reliability, especially as data volume and velocity increase. Issues like managing data consistency, handling schema changes, and ensuring low-latency data processing are frequent hurdles. Collaborating closely with data scientists and DevOps teams is crucial, as projects often require integrating diverse data sources and maintaining high data quality standards. Staying up-to-date with evolving big data technologies and best practices is essential to address these ongoing challenges effectively.
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What are the most commonly searched types of Big Data Engineer jobs in Atlanta, GA?

The most popular types of Big Data Engineer jobs in Atlanta, GA are:

What job categories do people searching Big Data Engineer jobs in Atlanta, GA look for?

The top searched job categories for Big Data Engineer jobs in Atlanta, GA are:

What cities near Atlanta, GA are hiring for Big Data Engineer jobs?

Cities near Atlanta, GA with the most Big Data Engineer job openings:

    Infographic showing various Big Data Engineer job openings in Atlanta, GA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $125,978 per year, or $60.6 per hour.

    $53.50 - $71/hr

    Full-time

    Re-posted 24 days ago


    Job description

    NAVA Software solutions is looking for a Big Data Engineer
    Details:
    Big Data Engineer
    Location: Atlanta GA - Hybrid
    Duration: 12 months
    Job Description
    The successful candidate must have Big Data engineering experience and must demonstrate an affinity for working with others to create successful solutions. Join a smart, highly skilled team with a passion for technology, where you will work on our state of the art Big Data Platforms. They must be a very good communicator, both written and verbal, and have some experience working with business areas to translate their business data needs and data questions into project requirements. The candidate will participate in all phases of the Data Engineering life cycle and will independently and collaboratively write project requirements, architect solutions and perform data ingestion development and support duties.
    Skills and Experience:
    Required:
    • 8+ years of overall IT experience
    • 3+ years of experience with high-velocity high-volume stream processing: Apache Kafka and Spark Streaming
    • Experience with real-time data processing and streaming techniques using Spark structured streaming and Kafka
    • Deep knowledge of troubleshooting and tuning Spark applications
    • 3+ years of experience with data ingestion from Message Queues (Tibco, IBM, etc.) and different file formats across different platforms like JSON, XML, CSV
    • 3+ years of experience with Big Data tools/technologies like Hadoop, Spark, Spark SQL, Kafka, Sqoop, Hive, S3, HDFS, or
    • 3+ years of experience building, testing, and optimizing 'Big Data' data ingestion pipelines, architectures, and data sets
    • 2+ years of experience with Python (and/or Scala) and PySpark/Scala-Spark
    • 3+ years of experience with Cloud platforms e.g. AWS, GCP, etc.
    • 3+ years of experience with database solutions like Kudu/Impala, or Delta Lake or Snowflake or BigQuery
    • 2+ years of experience with NoSQL databases, including HBASE and/or Cassandra
    • Experience in successfully building and deploying a new data platform on Azure/ AWS
    • Experience in Azure / AWS Serverless technologies, like, S3, Kinesis/MSK, lambda, and Glue
    • Strong knowledge of Messaging Platforms like Kafka, Amazon MSK & TIBCO EMS or IBM MQ Series
    • Experience with Databricks UI, Managing Databricks Notebooks, Delta Lake with Python, Delta Lake with Spark SQL, Delta Live Tables, Unity Catalog
    • Knowledge of Unix/Linux platform and shell scripting is a must
    • Strong analytical and problem-solving skills

    Preferred (Not Required):
    • Strong SQL skills with ability to write intermediate complexity queries
    • Strong understanding of Relational & Dimensional modeling
    • Experience with GIT code versioning software
    • Experience with REST API and Web Services
    • Good business analyst and requirements gathering/writing skills

    NAVA Software Solutions logo

    About NAVA Software Solutions

    Sourced by ZipRecruiter

    NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

    Industry

    It services

    Company size

    51 - 200 Employees

    Headquarters location

    Rocky Hill, CT, US

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