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Remote Data Engineering Jobs in Georgia (NOW HIRING)

LVTLABS\-Magus

AWS Data Engineer

Atlanta, GA · Remote

$112.30K - $134.90K/yr

Perform data cleansing, data validation etc \n \n \n 3. Hands on ETL developer who is good at ... Toronto ON, Atlanta GA and Remote.\n \n \n \n \n \n

Alliance Technical Group

SR Data Engineer

Atlanta, GA · On-site +1

$112.30K - $134.90K/yr

This position is remote but may follow a hybrid schedule for candidates located within 60 miles of ... Mentor junior data engineers, providing technical guidance, code reviews, and best practices ...

Kiewit

Data Engineer-Kiewit Nuclear Solutions 1

Atlanta, GA · On-site +1

$110.10K - $132.20K/yr

Location This is a remote position that may require some travel. #LI Responsibilities Power BI ... Contribute to enterprise data standards and BI best practices Data Integration and Engineering ...

Deckers

United States (Remote) Interested applicants must reside in one of the following approved states ... Collaborate with data engineering teams to translate architecture designs into scalable physical ...

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Remote Data Engineering information

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$37.6K

$109.5K

$149.9K

How much do remote data engineering jobs pay per year?

As of May 29, 2026, the average yearly pay for remote data engineering in Georgia is $109,530.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,700.00 and $116,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Data Engineer, and why are they important?

To thrive as a Remote Data Engineer, you need strong programming skills (such as Python, Java, or Scala), experience with data modeling, ETL processes, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Proficiency with big data tools like Apache Spark, Hadoop, cloud platforms (AWS, Azure, GCP), and certifications in these technologies is highly valued. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These competencies ensure effective data pipeline development, reliable data management, and seamless teamwork across distributed environments.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote data engineers often work with distributed teams, which requires strong communication and organization skills. They collaborate using tools like Slack, Zoom, and project management platforms to stay aligned on data pipeline development, troubleshooting, and deployment. Regular stand-ups, asynchronous documentation, and clear communication of progress are essential for ensuring everyone is on the same page, regardless of location. Flexibility in working hours and proactive scheduling of meetings help facilitate effective collaboration and project delivery.

What is remote data engineering?

Remote data engineering involves designing, building, and maintaining data systems and pipelines while working from a location outside of a traditional office. Remote data engineers use tools to collect, process, and store large sets of data, making it accessible for analysis and business decision-making. They collaborate with teams virtually, often using cloud-based technologies, to ensure that data infrastructure is reliable, scalable, and secure. This role requires strong technical skills in programming, databases, and data architecture, as well as the ability to communicate effectively in a distributed work environment.

How can I make $2000 a week working from home?

Remote data engineers can earn $2000 or more per week by working on high-demand projects, leveraging specialized skills in data pipelines, cloud platforms, and programming languages like Python or SQL. Achieving this income often requires advanced expertise, certifications, and experience with tools such as AWS or Azure, as well as the ability to handle multiple clients or projects simultaneously.

What is the difference between Remote Data Engineering vs Remote Data Analyst?

AspectRemote Data EngineeringRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with SQL, Python, cloud platformsBachelor's in Statistics, Data Science, or related; proficiency in Excel, SQL, visualization tools
Work EnvironmentBuilds data pipelines, manages databases, works with cloud infrastructureAnalyzes data sets, creates reports, visualizes data insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, finance, retail, consulting

Remote Data Engineering focuses on designing and maintaining data infrastructure, while Remote Data Analysts interpret data to provide insights. Both roles require strong analytical skills but differ in technical depth and responsibilities.

What are the most commonly searched types of Data Engineering jobs in Georgia? The most popular types of Data Engineering jobs in Georgia are:
What are popular job titles related to Remote Data Engineering jobs in Georgia? For Remote Data Engineering jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineering jobs in Georgia look for? The top searched job categories for Remote Data Engineering jobs in Georgia are:
What cities in Georgia are hiring for Remote Data Engineering jobs? Cities in Georgia with the most Remote Data Engineering job openings:
Remote Data Engineering jobs near you
Infographic showing various Remote Data Engineering job openings in Georgia as of May 2026, with employment types broken down into 1% Internship, 2% As Needed, 83% Full Time, 10% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $109,530 per year, or $52.7 per hour.

Salesforce Data Cloud Engineer III (Memphis TN or Remote in the USA)

American Lebanese Syrian Associated Charities

Atlanta, GA • Remote

$110.10K - $132.20K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

Job description

AtALSACyou do more than make a living; you make a difference.
We like people who are different...because we're different, too. As one of the world's most iconic and respected nonprofits, we know what it's like to stand out. That's why we're looking at you. Your background, perspective, and desire to make an impact set you apart. As we work to help St. Jude cure childhood cancer, we're calling on the game-changers, innovators and visionaries to join our family. Not just for the kids of St. Jude, but also for you. Because at ALSAC, we develop and celebrate our employees. So, bring your whole, authentic self and become part of our shared mission: Finding cures. Saving children.
Job Description

The Salesforce Data Cloud Engineer (Software Engineer III) provides technical leadership and hands-on engineering expertise in designing, developing, implementing, and supporting scalable enterprise data and application solutions. This role is a key contributor and mentor within the engineering team, serving as a subject matter expert across Salesforce Data Cloud, identity resolution, data governance, APIs, and multi-layered application development.

This position drives the architecture and delivery of Data Cloud pipelines, customer identity unification, and privacy-safe activation across enterprise platforms. The engineer continually evaluates emerging technologies, ensures adherence to secure development practices, and documents solutions through clear technical artifacts including diagrams, flowcharts, metadata definitions, and code documentation.

Primary ResponsibilitiesSalesforce Data Cloud & Unified Profile Engineering
  • Design, develop, and optimize Data Cloud pipelines-including Data Streams, Data Model Objects (DMOs), Data Graphs, Calculated Insights-to build a scalable unified Profile System with high-quality identity resolution and golden records.
  • Define, tune, and maintain identity resolution rulesets (deterministic and probabilistic) for accuracy, precision/recall, and measurable profile completeness.
  • Build and optimize Segments and Activation across Marketing Cloud, Advertising platforms, Sales/Service Cloud, and Commerce using privacy-safe matching and deduplication.
  • Implement data governance, consent modeling, and privacy controls (GDPR/CCPA) across ingestion, unification, storage, and activation.
  • Partner with Marketing, Product, Analytics, and CRM teams to translate business use cases into Data Cloud data models, insights, and event-driven activations.
Data Engineering, Integrations & Platform Reliability
  • Establish and maintain CI/CD pipelines, automated data quality checks, operational monitoring, data lineage visibility, and SLA reporting across ingestion and activation flows.
  • Collaborate on Lakehouse Federation and Zero-Copy architecture patterns with Amazon Redshift, Databricks, and other enterprise data platforms for analytics, ML integration, and model operationalization (Einstein Studio or external).
  • Architect and implement ETL/ELT processes using SQL, streaming platforms (Kafka/Kinesis), APIs, and microservices aligned to enterprise engineering standards.
  • Analyze and resolve complex technical issues across interconnected systems; perform root cause analysis, implement fixes, and prevent recurrence.
Application Development & Engineering Leadership
  • Apply software engineering best practices across front-end, back-end, and data layers while conforming to internal coding standards and secure development practices.
  • Create, modify, test, debug, document, and maintain complex application programs supporting enterprise systems.
  • Work directly with users, business analysts, and cross-functional teams to understand requirements, validate user needs, and drive enhancements.
  • Mentor and support Software Engineer I and II team members through code reviews, technical guidance, and skill development.
Continuous Learning & Technical Governance
  • Stay current with industry trends, emerging technologies, and Salesforce ecosystem advancements; participate in education, certifications, and learning opportunities.
  • Maintain thorough documentation (flowcharts, diagrams, layouts, data dictionaries, design specifications) to support system understanding and operational continuity.
Minimum Qualifications
  • 5+ years of experience in data engineering, CRM, or Customer Data Platforms (CDP).
  • 2+ years hands-on with Salesforce Data Cloud or an equivalent enterprise CDP.
  • Bachelor's degree in Information Systems, Engineering, Mathematics, Computer Science, or related field; 5-8 years technical and programming experience.
  • Strong SQL proficiency and hands-on expertise with Data Cloud entities (DMOs, Data Streams, Data Graphs, Calculated Insights, Segments, Activation).
  • Proven experience activating audiences across Marketing Cloud, Advertising platforms, Sales/Service Cloud, or Commerce Cloud.
  • Experience with ETL/ELT pipelines, streaming technologies (Kafka/Kinesis), REST/GraphQL APIs, and Git-based CI/CD.
  • Strong understanding of consent management, data privacy, PII/PHI protection, and compliance frameworks (GDPR/CCPA).
  • Professional experience developing across multiple layers of the application stack (front-end, back-end, data, APIs).
  • Experience in structured, cross-functional environments with established roles and processes.
  • Preferred skills include experience with Python, dbt, MDM platforms, Reverse ETL, enterprise data warehouses (e.g., Amazon Redshift), Einstein Studio or ML model operationalization, and Copado or similar Salesforce DevOps tooling.
Benefits & PerksThe following Benefits & Perks apply to Full-Time Roles Only.We're dedicated to ensuring children and their families have every opportunity to enjoy life's special moments. We're also committed to giving our staff excellent benefits so they can do the same.
  • Core Medical Coverage: (low cost low deductible Medical, Dental, and Vison Insurance plans)
  • 401K Retirement Plan with 7% Employer Contribution
  • Exceptional Paid Time Off
  • Maternity / Paternity Leave
  • Infertility Treatment Program
  • Adoption Assistance
  • Education Assistance
  • Enterprise Learning and Development
  • And more

ALSAC is an equal employment opportunity employer.

ALSAC does not discriminate against any individual with regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, transgender status, disability, veteran status, genetic information or other protected status.

No Search Firms:

ALSAC does not accept unsolicited assistance from search firms for employment opportunities. All resumes submitted by search firms to any ALSAC employee or ALSAC representative via email, the internet or in any form and/or method without being contacted and approved by our Employee Experience team and without a valid written search agreement in place will result in no fee being paid if a referred candidate is hired by ALSAC.

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