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Full Time Data Engineering Jobs in Atlanta, GA (NOW HIRING)

Data Architect - Georgia

Atlanta, GA · On-site

$150K - $170K/yr

Georgia, USA (Hybrid / Onsite as per business needs) Job Type: Full-Time / Direct Hire Experience ... Experience with cloud-native orchestration and modern data engineering practices Prior involvement ...

Senior Azure Data Engineer

Atlanta, GA · On-site

$61 - $79.50/hr

Greetings from ACI ! Full Time: Accepting H1B Transfers Technical Skills * Expertise in SQL coding ... Engineering, advanced algorithms, mathematics in computing, data structures, etc. * Minimum 10 ...

Fabric Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Required Skill and Experience • Experience in Data Engineering or Analytics Engineering roles ... Benefits Along with competitive pay, as a full-time Infosys employee you are also eligible for the ...

... on a full-time basis without the need for current or future immigration sponsorship. Are you ... Partner with product, engineering, business, and executive stakeholders to translate business ...

... on a full-time basis without the need for current or future immigration sponsorship. Are you ... Partner with product, engineering, business, and executive stakeholders to translate business ...

Data Platform Engineer

Atlanta, GA · On-site +1

$145K - $175K/yr

... our core data engineering, data analytics and machine learning capabilities. Your work will ... In addition to your great compensation package, full-time employees will be eligible for the ...

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business ...

Fabric Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

EEO/About Us Benefits Along with competitive pay, as a full-time Infosys employee you are also ... Required Skill and Experience • Experience in Data Engineering or Analytics Engineering roles ...

Data Architect, Databricks

Alpharetta, GA · On-site +1

$62.25 - $80/hr

You will partner closely with engineering, analytics, governance, and business teams to deliver ... Applicants must be currently authorized to work in the United States on a fulltime basis without ...

Data Architect, Databricks

Alpharetta, GA · On-site +1

$62.25 - $80/hr

You will partner closely with engineering, analytics, governance, and business teams to deliver ... Applicants must be currently authorized to work in the United States on a fulltime basis without ...

Showing results 41-60

Full Time Data Engineering information

See Atlanta, GA salary details

$42.8K

$124.7K

$170.7K

How much do full time data engineering jobs pay per year?

As of Aug 9, 2026, the average yearly pay for full time data engineering in Atlanta, GA is $124,743.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,100.00 and $132,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a full time data engineer?

To thrive as a Full Time Data Engineer, you need strong programming skills (such as Python or Java), proficiency in SQL, and a solid understanding of data modeling and ETL processes, usually supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop or Spark), cloud platforms (such as AWS or Azure), and relevant certifications (e.g., Google Cloud Data Engineer) is highly valuable. Excellent problem-solving, communication, and teamwork abilities distinguish top performers in this role. These skills ensure efficient data infrastructure development, reliable data pipelines, and effective collaboration with cross-functional teams to support business objectives.

What is a full time data engineer?

Full time data engineering jobs involve building, managing, and optimizing data pipelines and infrastructure to collect, process, and store large volumes of data for organizations. Data engineers work with technologies like SQL, Python, cloud platforms, and big data tools to ensure data is reliable and accessible for analytics and business decision-making. These roles typically require strong programming skills, knowledge of database systems, and experience with data modeling and ETL (Extract, Transform, Load) processes. Full time positions generally offer benefits and require a standard workweek commitment, often in tech, finance, healthcare, or other data-driven industries.

What is the difference between Full Time Data Engineering vs Part Time Data Engineering?

AspectFull Time Data EngineeringPart Time Data Engineering
Work HoursTypically 40 hours/weekLess than 20 hours/week
CredentialsRelevant degrees, certifications like AWS, GCP, or AzureSame as full-time, but often less emphasis on certifications
Work EnvironmentFull-time employment, often in corporate or tech firmsFreelance or contract basis, flexible locations
Job ResponsibilitiesDesigning, building, maintaining data pipelinesSupporting existing pipelines, smaller projects

Full Time Data Engineering involves a standard 40-hour workweek with comprehensive responsibilities in designing and maintaining data systems. Part Time Data Engineering offers flexible hours, often focusing on specific tasks or projects. Both roles require relevant technical skills and certifications, but full-time positions typically demand more extensive experience and commitment.

What are some common challenges faced by full time data engineers, and how can they be addressed?

Full-time data engineers often encounter challenges such as integrating data from diverse sources, ensuring data quality, and optimizing data pipelines for scalability and performance. These issues can be addressed by adopting robust ETL (Extract, Transform, Load) frameworks, implementing automated data validation tests, and collaborating closely with data analysts and software engineers to align on data requirements. Staying updated with the latest cloud technologies and best practices in data architecture also helps in overcoming these challenges and maintaining efficient, reliable data systems.
What are the most commonly searched types of Data Engineering jobs in Atlanta, GA? The most popular types of Data Engineering jobs in Atlanta, GA are:

Senior Associate Big Data Engineering - Atlanta, Chicago, Hybrid (4 days) Atlanta

Publicis Groupe Holdings B.V

Atlanta, GA • Hybrid

$123K - $175K/yr

Full-time

Medical, PTO

Re-posted 10 days ago


Job description

Company Description

Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting, and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting, and customer obsession to accelerate our clients' businesses through designing the products and services their customers truly value.

Overview

This role is a hybrid role - 4 days in the office  -Atlanta, ChicagoAs a Senior Associate in Data Engineering, you will translate client requirements into technical design, and implement components for data engineering solution. Utilize deep understanding of data integration and big data design principles in creating custom solutions or implementing package solutions.

You will independently drive design discussions to insure the necessary health of the overall solution Your Impact: Data Ingestion, Integration and Transformation Data Storage and Computation Frameworks, Performance Optimizations Analytics & Visualizations Infrastructure & Cloud Computing Data Management Platforms Build functionality for data ingestion from multiple heterogeneous sources in batch & real-time Build functionality for data analytics, search and aggregation

Qualifications

Your Skills & Experience:  Overall experience of 5.5 years with minimum 4 years of relevant experience in Big Data technologies Hands-on experience with the Hadoop stack - HDFS, sqoop, kafka, Pulsar, NiFi, Spark, Spark Streaming, Flink, Storm, hive, oozie, airflow and other components required in building end to end data pipeline. Working knowledge on real-time data pipelines is added advantage. Strong experience in at least of the programming language Java, Scala, Python. Java preferable Hands-on working knowledge of NoSQL and MPP data platforms like Hbase, MongoDb, Cassandra, AWS Redshift, Azure SQLDW, GCP BigQuery etc. Well-versed and working knowledge with data platform related services on AWS Bachelor's degree and year of work experience of 6 to 8 years or any combination of education, training and/or experience that demonstrates the ability to perform the duties of the position Set Yourself Apart With: Good knowledge of traditional ETL tools (Informatica, Talend, etc) and database technologies (Oracle, MySQL, SQL Server, Postgres) with hands on experience Knowledge on data governance processes (security, lineage, catalog) and tools like Collibra, Alation etc Knowledge on distributed messaging frameworks like ActiveMQ / RabbiMQ / Solace, search & indexing and Micro services architectures Performance tuning and optimization of data pipelines Cloud data specialty and other related Big data technology certifications

Additional Information

Salary Range:  $123,000 - $175,000

The range shown represents a grouping of relevant ranges currently in use at Publicis Sapient. Actual range for this position may differ, depending on location and specific skillset required for the work.

  • An inclusive workplace that promotes diversity and collaboration.
  • Access to ongoing learning and development opportunities.
  • Competitive compensation and benefits package.
  • Flexibility to support work-life balance.
  • Comprehensive health benefits for you and your family.
  • Generous paid leave and holidays.
  • Wellness program and employee assistance.

As part of our dedication to an inclusive and diverse workforce, Publicis Sapient is committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at hiring@publicis.sapient.com

Employment Type: FULL_TIME