3

Full Time Remote Data Engineer Jobs in Atlanta, GA

Data Architect

Atlanta, GA ยท On-site +1

$61.25 - $78.75/hr

Enable advanced analytical capabilities for researchers and developers. * Partner with the ... No * Current remote employees will not be guaranteed to keep their remote status with their ...

See us at Position Summary As a Lead Systems Engineer - Data at Bravo17, you will elevate data ... Remote; however we are looking to grow our presence in Atlanta, Chicago, Denver, and Washington DC ...

... on a full-time basis without the need for current or future immigration sponsorship. Are you ... Location- Hybrid (3 days in office, 2 days remote): Atlanta, GA, Columbus, GA or Jacksonville, FL ...

... on a full-time basis without the need for current or future immigration sponsorship. Are you ... Location- Hybrid (3 days in office, 2 days remote): Atlanta, GA, Columbus, GA or Jacksonville, FL ...

Data Architect, Databricks

Alpharetta, GA ยท On-site +1

$62.25 - $80/hr

You will partner closely with engineering, analytics, governance, and business teams to deliver ... Applicants must be currently authorized to work in the United States on a fulltime basis without ...

Data Architect, Databricks

Alpharetta, GA ยท On-site +1

$62.25 - $80/hr

You will partner closely with engineering, analytics, governance, and business teams to deliver ... Applicants must be currently authorized to work in the United States on a fulltime basis without ...

Product Owner - Remote

Atlanta, GA ยท Remote

$120 - $200/hr

Product Owner Job Type: Full-time Location: Remote Role Summary We are seeking a strong Product Owner to work with engineering, data, and business teams to turn complex problems into intuitive, high ...

New

Requirements This is a full-time remote role for an Entry Level Growth Management position. The role will involve day-to-day tasks such as analyzing data, implementing growth hacking strategies ...

AI/ML Engineer - Remote

Atlanta, GA ยท Remote

$200 - $350/hr

AI/ML Engineer Job Type: Full-Time Location: Remote Job Summary We are seeking an experienced AI/ML ... Build robust ETL and data pipelines , metadata catalogs, and ontologies for AI training and ...

Showing results 41-60

Full Time Remote Data Engineer information

See Atlanta, GA salary details

$42.8K

$124.7K

$170.7K

How much do full time remote data engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for full time 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 full time remote data engineer do?

A Full Time Remote Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and databases from a remote location. They work with large sets of data, ensuring it is collected, stored, and processed efficiently for analysis and business decision-making. These engineers collaborate with data scientists, analysts, and other stakeholders to provide reliable data infrastructure while using tools such as SQL, Python, and cloud platforms. Working remotely, they leverage communication tools and version control systems to stay connected with their teams and manage projects effectively.

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

To thrive as a Full Time Remote Data Engineer, you need strong programming skills (such as Python or Scala), a solid understanding of data modeling, and experience with database systems, often supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and relevant certifications (e.g., Google Cloud Professional Data Engineer) is typically required. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive. These competencies ensure robust, scalable data solutions and seamless teamwork across distributed environments.

How do full time remote data engineers typically collaborate with cross-functional teams while working remotely?

Full Time Remote Data Engineers often work closely with data scientists, analysts, and software developers through virtual collaboration tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular stand-up meetings, sprint planning sessions, and code reviews are common practices to ensure alignment and smooth workflow across different time zones. Clear documentation, proactive communication, and sharing progress updates are essential for overcoming the challenges of remote teamwork and ensuring project goals are met efficiently.

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

AspectFull Time Remote Data EngineerFull Time Remote Data Analyst
Required CredentialsBachelor's in Computer Science, Data Engineering certifications (e.g., Google Cloud Professional Data Engineer)Bachelor's in Statistics, Data Analysis certifications (e.g., Microsoft Certified Data Analyst)
Work EnvironmentDesigning data pipelines, managing databases, coding in Python, SQL, cloud platformsInterpreting data, creating reports, visualizations, using Excel, Tableau, SQL
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing firms, consulting, finance, retail

Full Time Remote Data Engineers focus on building and maintaining data infrastructure, requiring technical skills in programming and cloud platforms. Data Analysts interpret data and create insights, often using visualization tools. Both roles are in high demand for remote work, but they serve different functions within organizations.

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

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

$61.25 - $78.75/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 20 days ago


Job description

CompanyFederal Reserve Bank of St. LouisThe Data Architect will lead the design and modernization of the data architecture that powers the economic data platforms of St. Louis based Research applications such as FRED. These platforms manage massive collections of economic time-series data, historical revisions, digitized archival documents, and research publications.

This role focuses on designing scalable data platforms, data models, and data governance frameworksto support long-term growth, advanced analytics, and global access to economic data. It will leverage in-depth knowledge of modern data technologies, industry frameworks, data security best practices and emerging innovations in AI/ML and data science to accelerate value, delivery and outcomes for the business.

The Data Architect will partner closely with the Application Architectto ensure seamless integration between data platforms and application services.

Key Responsibilities

  • Define and evolve the target data architecturesupporting economic data systems.
  • Design scalable storage architectures capable of supporting billions of time-series observations and historical revisions.
  • Develop metadata schemas supporting dataset discoverability, lineage, and governance.
  • Standardize dataset structures and metadata across multiple platforms.
  • Implement scalable data processing frameworks capable of supporting growing dataset volumes.
  • Improve indexing and metadata strategies that support dataset search and discovery.
  • Enable advanced analytical capabilities for researchers and developers.
  • Partner with the Application Architect to optimize data access patterns for APIs and applications.

Required Qualifications

  • 7-10+ years of experience in data architecture, data engineering or database design and large-scale enterprise cloud data implementations in complex, highly regulated environments. Deep understanding of modern data technology stacks, cloud data platforms (AWS preferred), and enterprise software solutions.
  • Demonstrated experience designing, architecting and supporting external / public-facing applications with a strong emphasis on scalability, security, availability and performance for external customer-facing platforms. Demonstrated knowledge of and leading adoption of industry best practices in the areas of DataOps and modern data stack tools, data governance, SQL and other query tools and knowledge of data privacy regulations. Industry-related certifications in one or more of the above areas are desired. Demonstrated experience in cloud data architecture skills including designing, architecting and delivering modern cloud data platforms to ingest, process, store and expose data across the enterprise. Expert knowledge of data modeling techniques and tools, data lifecycle management and integration patterns to ensure that data flows are consistent, reliable and reusable across services and solutions.
  • Experience with data storage technologies, partitioning strategies, caching, data access patterns, and robust security strategies enforcing privacy and regulatory requirements including designing standardized approaches for data classification, access control, encryption, retention and auditability.
  • Knowledge of data warehousing concepts and tools, big data technologies, machine learning and AI data requirements.
  • Strong recent hands-on experience with PostgreSQL, including schema design, advanced indexing strategies, partitioning, query optimization, and high-availability configurations, ideally in the context of large-scale time-series.
  • Outstanding communication and collaboration skills, including translating technical topics and risks into business teams. Ability to personalize communication to audience from technologists to executive leadership.
  • Extensive, in-depth experience implementing highly complex technology projects in a cross-functional matrix environment with demonstrated ability to drive consensus and deliver results. Examples of leading through influence and successfully resolving conflicting priorities are required.
  • Candidates with less experience may be considered at a lower job grade or salary.

Preferred Qualifications

  • Experience working with time-series data platforms or analytical datasets.
  • Experience with distributed query engines and large-scale data processing systems.
  • Experience with data catalog and metadata management platforms.
  • Familiarity with economic datasets or research data environments.
  • Experience supporting public data access or research-oriented platforms.

Additional Information

Location(s):

  • The selected candidate willresidewithin a reasonable commuting distance, as defined by the employing Reserve Bank, and will work full-time onsite.
  • Locations:Boston, MA- New York, NY- Philadelphia, PA- Cleveland, OH- Richmond, VA- Atlanta, GA- Chicago, IL- St. Louis, MO- Minneapolis, MN- Kansas City, MO- Dallas, TX- San Francisco, CA
  • Remote Eligible: No
  • Current remote employees will not be guaranteed to keep their remote status with their employing bank.

Salary

Salary for St. Louis: $140,000 - $170,000

  • The listed salary is applicabletothe Federal Reserve Bank of St. Louis.Final offers aredeterminedby factors including the candidate's qualifications, internal alignment considerations, district assignment, and geographic location.

Total Rewards

Bring your passion and expertise, and we'll provide the opportunities that will challenge you and propel your growth-along with a wide range of benefits and perks that support your health, wealth, and life.

In addition to competitive compensation, we offer a comprehensive benefits package all brought together in a flexible work environment where you can find balance:

  • Medical (4 options), Prescription, Dental (3 options), and Vision Insurance with no waiting period
  • 401k/Thrift Plan with generous employer match
  • Employer-funded Pension Plan
  • Paid Vacation/Sick Time and Holidays
  • Flexible Spending Accounts and Healthcare Spending Accounts
  • Life Insurance and Long Term Disability Insurance
  • Tuition Reimbursement (undergraduate and graduate)
  • Parental Leave
  • Free onsite 24/7 Fitness Center including training classes, and locker room / shower facilities
  • Onsite Cafeteria and Coffee Shop
  • Additional Convenience Benefits, Discounts and More...

At the Federal Reserve Bank of St. Louis, we are committed to a strong and resilient economy for all. We prioritize inclusion and strive to be a workplace where all employees can thrive. Learn more about Bank'sculture.

The Federal Reserve Bank of St Louis is an Equal Opportunity Employer. #LI-Onsite

Full Time / Part TimeFull timeRegular / TemporaryRegularJob Exempt (Yes / No)YesJob CategoryInformation Technology Family GroupWork ShiftFirst (United States of America)

The Federal Reserve Banks are committed to equal employment opportunity for employees and job applicants in compliance with applicable law and to an environment where employees are valued for their differences.

Always verify and apply to jobs on Federal Reserve System Careers (https://rb.wd5.myworkdayjobs.com/FRS) or through verified Federal Reserve Bank social media channels.

Privacy Notice