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Remote Data Engineer Jobs in Decatur, GA (NOW HIRING)

ProArch

Data Engineer

Atlanta, GA · On-site +1

$110K - $132K/yr

Advanced Data Engineering and Solution Design (80%) * Architect and implement scalable data pipelines to process and integrate structured and unstructured data. * Design end-to-end data solutions ...

PadSplit

Data Engineer (Fully Remote)

Atlanta, GA · On-site +1

$150K - $165K/yr

The Role We Need PadSplit is growing its analytics platform and needs a hands-on Data Engineer to ... Fully remote position - we swear! * Competitive compensation package including an equity incentive ...

Sequoia Connect

Junior Data Engineer

Atlanta, GA · Remote

We are currently searching for a Junior Data Engineer: The Challenge (Responsibilities) * Assist in ... Remote If you meet these qualifications and are pursuing new challenges, start your application on ...

Sequoia Connect

Junior Data Engineer

Atlanta, GA · On-site +1

We are currently searching for a Junior Data Engineer: The Challenge (Responsibilities) * Assist in ... Remote If you meet these qualifications and are pursuing new challenges, start your application on ...

Kemper

Data Quality Engineer

Alpharetta, GA · Remote

$111K - $134K/yr

... Remote-OH, Remote-PA, Remote-RI, Remote-VA Details Kemper is one of the nation's leading ... Kemper is seeking a Data Quality Engineer specializing in Data Testing and Quality Engineering to ...

BeyondTrust

Sr Data Engineer

Johns Creek, GA · On-site +1

$98K - $133K/yr

Senior Data Engineer (Req # 3389121) Data Engineers at BeyondTrust are the backbone of the company's core data infrastructure that powers all analytics products running on our SaaS platform. Leverage ...

FAVARH

Senior Data Engineer

Atlanta, GA · On-site +1

$101K - $138K/yr

Implement enterprise solutions, in a cloud environment, using a vast range of data engineering and cloud technologies. Work on tasks independently and seek guidance from leaders as needed. Help ...

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All JobsData Engineer JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Decatur, GA

Remote Data Engineer information

See Decatur, GA salary details

$43.4K

$126.6K

$173.3K

How much do remote data engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for remote data engineer in Decatur, GA is $126,646.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,800.00 and $134,200.00 per year, depending on experience, location, and employer.

What is a remote data engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

What does a remote data engineer do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

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 in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.

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

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

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

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

Are remote data engineers still in demand?

Remote data engineers are currently in high demand due to the increasing reliance on data-driven decision making and cloud-based data platforms. Skills in SQL, Python, cloud services, and data pipeline tools are highly sought after, and many organizations continue to hire for remote roles to access a broader talent pool.

Can a remote data engineer work remotely?

Yes, remote data engineers can work remotely, as the role primarily involves managing data pipelines, databases, and cloud-based tools that can be accessed from anywhere with an internet connection. Many companies offer remote positions for data engineers, often requiring skills in SQL, Python, cloud platforms, and data architecture. However, some roles may require occasional on-site presence or specific certifications depending on the employer's policies.
More about Remote Data Engineer jobs

What are the most commonly searched types of Data Engineer jobs in Decatur, GA?

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

What are popular job titles related to Remote Data Engineer jobs in Decatur, GA?

For Remote Data Engineer jobs in Decatur, GA, the most frequently searched job titles are:

What job categories do people searching Remote Data Engineer jobs in Decatur, GA look for?

The top searched job categories for Remote Data Engineer jobs in Decatur, GA are:

What cities near Decatur, GA are hiring for Remote Data Engineer jobs?

Cities near Decatur, GA with the most Remote Data Engineer job openings:

Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Decatur, GA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $126,646 per year, or $60.9 per hour.

Data Engineer

Atlanta, GA • On-site, Remote

ProArch
IT Services • 501 - 1,000 employees
Learn more about ProArchexternal

$110K - $132K/yr

Contractor

Posted 16 days ago

Job description

Key Responsibilities/ Accountabilities: Listing of key responsibilities / major activities necessary to fulfill the position's purpose. If possible, please include the percentage of time spent on each key responsibility.

Advanced Data Engineering and Solution Design (80%)

  • Architect and implement scalable data pipelines to process and integrate structured and unstructured data.
  • Design end-to-end data solutions, including Data Lake, Data Warehouse, and Data Mart, to support analytics and operational systems.
  • Leverage UDP framework to consolidate data pipelines across healthcare domains.
  • Support the integration of new data domains through standardized ingestion and transformation frameworks.
  • Collaborate with stakeholders to translate business requirements into scalable, high-performing data architectures.
  • Integrate and optimize data access across distributed systems using data federation and virtualization tools
  • Develop reusable data assets to support self-service analytics across programs and business domains.
  • Design and maintain enterprise dimensional data models including fact tables, conformed dimensions, star schemas, snowflake schemas, and analytical data marts.
  • Translate business and reporting requirements into scalable analytical data structures and semantic data models.
  • Develop and maintain semantic layers, curated datasets, and business views to support enterprise reporting and analytics.
  • Design, develop, and maintain Power BI semantic models, datasets, dashboards, and reports for internal and external stakeholders.
  • Create and optimize DAX measures, calculated columns, KPIs, and business metrics to support operational and strategic reporting.
  • Implement Power BI best practices including Row-Level Security (RLS), deployment pipelines, performance optimization, and governance standards.
  • Partner with business users and subject matter experts to gather reporting requirements and deliver actionable analytics solutions.
  • Ensure consistency of business definitions, metrics, and calculations across enterprise reporting and analytics platforms.

Data Governance and Compliance (10%)

  • Develop and enforce data governance standards, ensuring consistency, accuracy, and compliance with regulatory frameworks (e.g, HIPAA).
  • Implement data lineage, metadata management, and auditability practices using tools like AWS Glue Data Catalog.
  • Establish and manage data stewardship frameworks to improve data quality and trust across the organization.

Performance Optimization and Security (10%)

  • Optimize system performance by designing and implementing data partitioning, indexing, and compression strategies.
  • Ensure data security through access controls, encryption, and secure design practices.

Requirements

Core Competencies

  • Experience with enterprise data modeling tools (e.g., Erwin, SQL Data Modeler) and strong expertise in dimensional modeling methodologies including Star Schema, Snowflake Schema, Fact and Dimension design, and semantic modeling.
  • Bachelor's or master's degree in computer science, Engineering, or related field.
  • 8+ years of experience in data engineering, with a strong emphasis on data governance and solution design.
  • Expertise in developing scalable data architectures for enterprise reporting
  • Familiarity with MLOps and AI data pipelines leveraging cloud-native services such as AWS SageMaker, Glue ML, or Databricks for feature engineering and model deployment.
  • Advanced knowledge of data governance tools and frameworks, including AWS Glue Data Catalog, to support enterprise-wide lineage, metadata, and compliance practices.
  • Strong understanding of cloud data platforms and services - particularly AWS (Redshift, S3, EMR, Lambda) and hybrid integrations with Azure Synapse or equivalent modern data warehouse technologies.
  • Proficiency in programming and scripting languages (Python, SQL, PySpark) for building testing and optimizing scalable data solutions.
  • Advanced experience developing Power BI semantic models, datasets, dashboards, reports, DAX measures, Power Query transformations, Row-Level Security, and performance optimization. Experience with Tableau is a plus.

Additional Qualifications:

  • Excellent analytical and troubleshooting skills with attention to detail.
  • Strong communication skills to effectively articulate technical concepts to non-technical stakeholders.
  • Ability to prioritize tasks in a dynamic environment and manage multiple initiatives simultaneously.
  • Certifications in cloud, database, and programming are a plus.

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