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

THE TILTED CIRCLE LLC

Data engineer

Calhoun, GA · On-site +1

$101K - $121K/yr

Senior Data Engineer Location: Woodbury, NY/Calhoun, GA (Onsite) Duration: Full Time Woodbury, NY ... First 6 months fully onsite, then minimum 3 days onsite/remains remote. Woodbury, NY candidates ...

New

Amteck, LLC

BIM Technician - Electrical

Dalton, GA · On-site +1

... engineering teams through advanced 3D modeling and coordination. This role involves creating and ... This position is eligible to be fully remote or for work out of our Lexington, KY HQ or our ...

All JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Ranger, GA

Remote Data Engineer information

See Ranger, GA salary details

$39.7K

$115.7K

$158.4K

How much do remote data engineer jobs pay per year?

As of Jun 19, 2026, the average yearly pay for remote data engineer in Ranger, GA is $115,747.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,200.00 and $122,700.00 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 cities near Ranger, GA are hiring for Remote Data Engineer jobs? Cities near Ranger, GA with the most Remote Data Engineer job openings:
Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Ranger, GA as of June 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 100% Remote job distribution, with an average salary of $115,747 per year, or $55.6 per hour.

Data engineer

THE TILTED CIRCLE LLC

Calhoun, GA • On-site, Remote

$101K - $121K/yr

Other

Posted 2 days ago

Job description

Position: Senior Data Engineer
Location: Woodbury, NY/Calhoun, GA (Onsite)
Duration: Full Time

Woodbury, NY 11797 or Calhoun, GA 30701

& GC 

Experience- 10+ Yrs

A detailed write-up is required explaining how the candidate’s experience aligns with the role, company sizes/background of prior employers, and distance/commute information to the work location.

Work Model: First 6 months fully onsite, then minimum 3 days onsite/remains remote. Woodbury, NY candidates must be within a realistic commuting distance; NJ candidates will not be considered.

Focus: Microsoft Fabric, ETL, and Enterprise Data Warehouse

Role Summary

The Senior Data Engineer will own the design, implementation, and evolution of Client’s enterprise data platform, including ETL pipelines, data warehouse/Lakehouse architecture, and enterprise data modeling. This role will lead the transition from an on-premises SQL environment to a scalable Microsoft Fabric cloud analytics platform, driving future growth, advanced analytics, and self-service BI capabilities. This is a small team environment, requiring candidates who can work independently and are comfortable wearing multiple hats; candidates from large enterprise-only environments are not preferred. Client is a mid-sized organization with approximately $200–300M in annual sales.

Core Responsibilities

  • End-to-end ownership of data pipelines, models, and analytics architecture — from design through production support
  • Acts as the technical decision-maker for data platform standards and patterns
  • Comfortable operating in environments with evolving requirements and incomplete data
  • Ability to translate available data from pipelines into value-added analytics to the business’s benefit
  • Expected to proactively identify business solutions, data gaps, quality issues, and architectural improvements
  • Design and implement the Microsoft Fabric Lakehouse and data warehouse, and lead the transition from on-premises SQL-based solutions
  • Develop and maintain ETL and ELT pipelines using Fabric Data Factory, SQL, and notebooks
  • Ability to define and establish the semantic layer to enable servicing data to business resources for self-service visualizations
  • Apply scripting or notebook-based approaches, including Python/R/etc. where appropriate, for data transformation, automation, and data quality enforcement
  • Integrate data from AS400 ERP, Salesforce, HubSpot, and other SaaS platforms
  • Design analytical data models, fact and dimension tables, and curated data marts
  • Implement CI/CD practices for data pipelines and analytics assets, enabling agile, reliable, and controlled production deployments
  • Operate in an Agile delivery environment
  • Optimize platform performance, scalability, reliability, and cost
  • Support and stabilize existing datasets and dashboards
  • Drive Power BI adoption and define migration approach for legacy tools and standards
  • Design and implement data quality checks, monitoring, alerting, recovery mechanisms, and governance controls
  • Maintain documentation for pipelines, models, and integration patterns
  • Partner with IT and business stakeholders to translate requirements into data solutions

Required Qualifications

  • Bachelor’s degree in Computer Science, Information Systems, or equivalent experience
  • 6+ years of experience in data engineering, including enterprise data warehouse and analytics platforms
  • Advanced SQL skills with strong analytical and enterprise data modeling experience
  • Experience designing and operating data warehouses, lakes, or Lakehouse architectures in a cloud environment
  • Excellent communication skills with the ability to engage directly with technical and business stakeholders and recommend impactful business and architectural solutions.
  • Experience integrating ERP systems, CRM, and SaaS data sources
  • Experience supporting BI tools, including Tableau (phasing out) and Power BI
  • Stable work history required; no career consultants/serial short-term project candidates.
  • Manufacturing/Distribution industry exp required

Preferred Experience

  • Azure Synapse, Data Factory, or Databricks
  • Salesforce and HubSpot data models and APIs
  • Data governance, quality frameworks, and access controls

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