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Remote Data Engineering Jobs in Georgia (NOW HIRING)

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 ...

You will partner with Data Engineering, Data Science, Architecture, Infrastructure, Security, and ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

United States (Remote) Interested applicants must reside in one of the following approved states ... You'll collaborate with engineering, analytics, governance, and business teams to drive adoption ...

This role is well suited for someone evolving from data engineering, ML engineering, or analytics ... This role is designed to be onsite in Atlanta, Georgia with some remote/hybrid flexibility* What ...

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

Showing results 41-60

Remote Data Engineering information

See Georgia salary details

$37.6K

$109.5K

$149.9K

How much do remote data engineering jobs pay per year?

As of Sep 13, 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 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.

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

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 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 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:

Infographic showing various Remote Data Engineering job openings in Georgia as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $109,530 per year, or $52.7 per hour.

Managing Director, Enterprise Data Platform

Atlanta, GA β€’ Remote

Ankura
Business Management ConsultingΒ β€’Β 1 - 5K employees

Full-time

Posted 4 days ago


Ankura rating

6.4

Company rating: 6.4 out of 10

Based on 5 frontline employees who took The Breakroom Quiz


Job description

Ankura is a team of excellence founded on innovation and growth.

Practice Overview

Ankura's Digital Transformation practice helps clients modernize their organizations by leveraging data, analytics, automation, and artificial intelligence to drive measurable business outcomes. Our data engineering and data science experts design and develop enterprise data platforms that unify trusted data and provide a scalable foundation for reporting, advanced analytics, automation, and AI.

Role Overview

We are seeking a Managing Director to help lead and expand our Enterprise Data Platform capabilities. This senior leadership role combines technical vision, business development, client relationship management, delivery oversight, and team leadership. This is a USA remote based role, ideally located in the eastern time zone but central time zone could potentially work as well.

The Managing Director will serve as an executive advisor to clients, helping them define and execute enterprise data strategies and complex cloud-platform transformations. This individual will oversee a portfolio of engagements and client relationships, manage a book of business, originate and expand revenue opportunities, and ensure that solutions deliver measurable business value.

The Managing Director will also provide leadership across the practice by establishing technical direction, developing reusable capabilities and delivery standards, recruiting and developing high-performing teams, and overseeing technical execution across multiple clients and projects.

Responsibilities

Practice and Technical Leadership

  • Help lead the strategy, development, and growth of Ankura's Enterprise Data Platform capabilities.

  • Establish the technical vision, reference architectures, delivery methodologies, and engineering standards for cloud-based data platforms.

  • Provide executive-level oversight of enterprise data platform design and development across multiple clients and engagements.

  • Guide architectural decisions involving cloud infrastructure, data integration, data modeling, governance, security, analytics, automation, and AI enablement.

  • Maintain current knowledge of emerging data, analytics, cloud, and AI technologies and translate relevant developments into new client offerings and practice capabilities.

  • Develop reusable accelerators, methodologies, and intellectual property that improve delivery quality, speed, and scalability.

Client and Commercial Leadership

  • Build and maintain trusted relationships with C-suite executives, business leaders, and senior technology stakeholders.

  • Advise clients on enterprise data strategy, platform architecture, technology selection, operating models, investment priorities, and transformation roadmaps.

  • Manage and grow a book of business spanning multiple clients and engagements.

  • Originate new opportunities and expand existing client relationships by identifying additional needs and developing relevant solutions.

  • Lead business-development activities, including opportunity qualification, solution development, proposal preparation, pricing, presentations, and contract negotiations.

  • Communicate the business value of enterprise data platforms and connect technical investments to measurable financial and operational outcomes.

  • Represent Ankura's Digital Transformation practice in the market through executive relationships, industry forums, strategic partnerships, and thought leadership.

Engagement and Delivery Oversight

  • Provide executive sponsorship and delivery oversight across a portfolio of complex data-platform programs.

  • Ensure engagements are appropriately scoped, staffed, governed, and aligned with client objectives and contractual commitments.

  • Oversee large-scale data integration and platform implementations using technologies such as Databricks, Snowflake, Microsoft Fabric, and comparable platforms.

  • Guide data orchestration and integration strategies using technologies such as Azure Data Factory, Airflow, Informatica, and other enterprise tools.

  • Monitor engagement economics, delivery quality, resource utilization, risks, timelines, and client satisfaction.

  • Ensure platforms meet expectations for scalability, reliability, security, governance, performance, maintainability, and cost efficiency.

  • Intervene proactively to resolve significant technical, delivery, commercial, or client relationship issues.

  • Maintain accountability for high-quality delivery and measurable client outcomes across the portfolio.

Team and Capability Development

  • Build, lead, and develop multidisciplinary teams of data architects, data engineers, data scientists, technical leads, and delivery professionals.

  • Recruit and retain high-performing professionals across onshore, nearshore, and offshore delivery teams.

  • Establish clear roles, career paths, competency expectations, and development plans for technical team members.

  • Mentor senior leaders and create opportunities for them to assume greater client, commercial, and delivery responsibility.

  • Promote collaboration among data engineering, data science, analytics, automation, AI, business transformation, and change-management professionals.

  • Develop scalable staffing and delivery models that support practice growth while maintaining quality and financial performance.

Qualifications

  • Typically 12-15+ years of experience in data engineering, enterprise data architecture, analytics, or related technology consulting, including substantial senior leadership responsibility.

  • Proven experience leading the design and delivery of enterprise-grade cloud data platforms and large-scale data transformation programs.

  • Demonstrated success managing and growing a significant book of consulting business across multiple clients.

  • Established record of developing executive client relationships, originating opportunities, and converting those opportunities into successful engagements.

  • Deep knowledge of enterprise data architecture, integration, data modeling, governance, metadata management, data quality, security, and cloud-platform principles.

  • Strong experience with data and analytics platforms such as Databricks, Snowflake, Microsoft Fabric, or comparable technologies.

  • Strong understanding of ETL, ELT, and orchestration technologies such as Azure Data Factory, Airflow, Informatica, or similar platforms.

  • Ability to connect data-platform investments to business strategy, operational improvement, financial performance, and measurable value realization.

  • Demonstrated experience overseeing multiple concurrent engagements, delivery teams, and client relationships.

  • Proven ability to recruit, organize, mentor, and develop high-performing technical and consulting teams.

  • Strong commercial judgment, including experience with engagement economics, pricing, contracting, resource planning, and risk management.

  • Executive-level communication, presentation, facilitation, and relationship-management skills.

  • Strong business acumen, entrepreneurial orientation, and results-focused leadership style.

  • Experience leading geographically distributed, multi-team, or multi-vendor delivery models is strongly preferred.

  • Experience with advanced analytics, machine learning, generative AI, real-time data processing, or AI-enabled enterprise solutions is preferred.

  • Relevant cloud, data-platform, or architecture certifications are beneficial.

  • Willingness to travel up to 20-25% including potential international travel.

  • Bachelor's degree in computer science, engineering, information systems, data science, or a related field is required; an advanced degree is preferred.

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Ankura is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against based on disability. Equal Employment Opportunity Posters, if you have a disability and believe you need a reasonable accommodation to search for a job opening, submit an online application, or participate in an interview/assessment, please email accommodations@ankura.com or call toll-free +1.312-583-2122. This email and phone number are created exclusively to assist disabled job seekers whose disability prevents them from being able to apply online. Only messages left for this purpose will be returned. Messages left for other purposes, such as following up on an application or technical issues unrelated to a disability, will not receive a response.


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