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

Pyramid Consulting, Inc.

Big Data Engineer

Atlanta, GA · On-site +1

$48 - $50/hr

Immediate need for a talented Big Data Engineer . This is a 06+ Months Contract opportunity with long-term potential and is located in Atlanta GA (Hybrid) . Please review the below and contact me ...

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 ...

Kiewit

Data Engineer-Kiewit Nuclear Solutions 1

Atlanta, GA · On-site +1

$110K - $132K/yr

... with data engineers, solution architects, project leadership, and technology teams to deliver ... Location This is a remote position that may require some travel. #LI Responsibilities Power BI ...

Deloitte

AI and Data Science Engineer III

Atlanta, GA · On-site +1

$110K - $132K/yr

AI and Data Science Engineer III Position Summary Our Deloitte Human Capital team transforms technology platforms, drives innovation, and helps make a significant impact on our clients' success. We ...

FullStory

Senior Data Engineer

Atlanta, GA · Remote

$160K - $170K/yr

As our Senior Data Engineer, you will report to the Senior Engineering Manager for the Fullstory Anywhere team and help build the systems that transform, move, and activate billions of data points at ...

One Ten Inc

Software Roles

Atlanta, GA · Remote

$117K - $155K/yr

... AI Engineer * Sr. Data Engineer Job Locations: Remote (US) Sr/Staff Infrastructure Software Engineer: Required Skills: * 6+ years with Go, Python, Java or similar (infrastructure-focused)

PrizePicks

Data Platform Engineer

Atlanta, GA · On-site +1

$100K - $150K/yr

As a Data Platform Engineer, you will contribute to building the modern Data platform at Prizepicks ... S. and are willing to consider remote candidates. #LI-Remote Working at PrizePicks: The typical ...

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

Remote Data Engineer information

See Atlanta, GA salary details

$42.8K

$124.7K

$170.7K

How much do remote data engineer jobs pay per year?

As of Jun 13, 2026, the average yearly pay for remote data engineer 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 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.

Can a data engineer work remotely?

Yes, data engineers can work remotely, especially as many companies adopt flexible work arrangements. Remote data engineering roles often require strong skills in cloud platforms, data pipelines, and collaboration tools, and may involve regular virtual communication with teams. The feasibility depends on the company's policies and the specific job requirements.

Will AI replace data engineer?

AI is unlikely to fully replace data engineers, as their role involves designing, building, and maintaining data pipelines and infrastructure that require human oversight and expertise. Instead, AI tools can augment their work by automating routine tasks, allowing data engineers to focus on complex problem-solving and system architecture. Skills in programming, cloud platforms, and data management remain essential for the role.

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.

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 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 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.

What engineers make $500,000?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires specialized certifications, leadership roles, and a strong track record of managing complex data infrastructure.

How to make $1000 a week remote?

A remote data engineer can earn $1000 or more per week by working full-time for a company, freelancing on project-based platforms, or offering specialized skills such as data pipeline development, cloud computing, or machine learning. Building a strong portfolio, gaining relevant certifications, and mastering tools like SQL, Python, and cloud services can increase earning potential.
More about Remote Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Atlanta, GA? The most popular types of Data Engineer jobs in Atlanta, GA are:
What are popular job titles related to Remote Data Engineer jobs in Atlanta, GA? For Remote Data Engineer jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineer jobs in Atlanta, GA look for? The top searched job categories for Remote Data Engineer jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Remote Data Engineer jobs? Cities near Atlanta, GA with the most Remote Data Engineer job openings:
Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Atlanta, GA as of June 2026, with employment types broken down into 81% Full Time, and 19% Contract. Highlights an 100% Remote job distribution, with an average salary of $124,743 per year, or $60 per hour.
Big Data Engineer

Big Data Engineer

Pyramid Consulting, Inc.

Atlanta, GA • On-site, Remote

$48 - $50/hr

Other

Medical, Dental, Vision, Retirement

Posted 4 days ago

Job description

Immediate need for a talented Big Data Engineer. This is a 06+ Months Contract opportunity with long-term potential and is located in Atlanta GA (Hybrid). Please review the job description below and contact me ASAP if you are interested.
Job ID:26-16871
Pay Range: $48 - $50/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).
Key Responsibilities:

  • Oversee the delivery of data projects, including data pipelines, warehouses, lakes, and analytics platforms.
  • Collaborate with architects, data engineers, and data scientists to deliver robust and scalable data solutions.
  • Provide hands-on guidance on data modeling, ETL/ELT workflows, and cloud-based data architectures.
  • Develop and execute detailed project plans, ensuring timely delivery within scope and budget.
  • Manage competing priorities across multiple data delivery streams.
  • Drive adherence to Agile or hybrid project management methodologies.
  • Stakeholder Engagement Serve as the primary technical liaison between clients and delivery teams for all data-related initiatives.
  • Understand client requirements, translating business goals into actionable data solutions.
  • Conduct regular status updates and stakeholder reviews to ensure alignment and satisfaction.
  • Team Coordination Lead onshore and offshore teams to deliver high-quality data solutions.
  • Foster a collaborative work environment, ensuring effective communication and teamwork.
  • Identify and address skill gaps within the team through mentorship or training.
  • Data Quality and Governance Implement data governance policies, ensuring compliance with standards and regulations.
  • Oversee data quality initiatives, including validation, monitoring, and issue resolution.
  • Promote the adoption of best practices for data security, integrity, and privacy. Risk and Issue Management Identify delivery risks and develop mitigation strategies.
  • Address technical and operational challenges proactively, escalating issues when necessary.
  • Reporting and Metrics Track and report on delivery metrics, including data accuracy, timeliness, and system performance.
  • Provide regular updates to leadership on project health, risks, and financials.

Key Requirements and Technology Experience:

  • Must have skills : Data Engineering and Integration Expertise, Data Governance and s Knowledge, Databricks, Technical delivery
  • Data Modeling (Capable)
  • Experience: 10 - 15 Years

Our client is a leading IT Industry and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration.
Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
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