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Remote Startup Data Engineer Jobs in Atlanta, GA

Senior AWS Data Engineer

Atlanta, GA · On-site +1

$101K - $138K/yr

Remote If you meet these qualifications and are pursuing new challenges, start your application on ... data integration patterns. * Familiarity with GitLab, Terraform, CI/CD, and AWS developer tools.

New

Senior AWS Data Engineer

Atlanta, GA · Remote

$108K - $147K/yr

Remote If you meet these qualifications and are pursuing new challenges, start your application on ... data integration patterns. * Familiarity with GitLab, Terraform, CI/CD, and AWS developer tools.

New

Senior Controls Engineer

Atlanta, GA · On-site +1

$115K - $155K/yr

The Senior Controls Engineer serves as the technical lead for advanced microgrid control system ... Lead onsite and remote startup and commissioning activities, including development and execution of ...

Data Platform Engineer

Atlanta, GA · On-site +1

$145K - $175K/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 ...

Senior Backend Engineer

Atlanta, GA · On-site +1

$90K - $150K/yr

Location: Remote - +/- 3 hours from CET (EST / Europe preferred) Remote Full-time Compensation ... Operate effectively in a fast-paced startup environment, balancing development velocity with ...

Senior Backend Engineer

Atlanta, GA · Remote

$90K - $150K/yr

Remote - +/- 3 hours from CET (EST / Europe preferred) Remote | Full-time Compensation: $90K ... Operate effectively in a fast-paced startup environment, balancing development velocity with ...

Remote Required Qualifications: * 5+ years of experience in data engineering and analytics roles. * Hands-on experience with Databricks in production environments. * Strong knowledge of data ...

Remote Required Qualifications: * 5+ years of experience in data engineering and analytics roles. * Hands-on experience with Databricks in production environments. * Strong knowledge of data ...

Backend & AI/ML Engineer

Alpharetta, GA · On-site +1

$106K - $160K/yr

Req ID: 383090 NTT DATA strives to hire exceptional, innovative and passionate individuals who want ... The starting pay range for this remote role is $106,840.00 to $160,260.00. This range reflects the ...

... Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple ... Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects ...

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 ...

VP Engineering

Atlanta, GA · On-site +1

$173K - $223K/yr

Experience growing R&D teams at a startup or high-growth tech company. * Proven ability to lead ... remote teams. Technical Depth * Strong background in data engineering, analytics and data science.

... remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ... data engineering, data governance, and data quality across research and production pipelines ...

Data Platform Engineer

Atlanta, GA · Remote

$117K - $140K/yr

As a Data Platform Engineer, you will design, build, and operate the core data services that power ... All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town ...

Showing results 21-40

Remote Startup Data Engineer information

See Atlanta, GA salary details

$42.8K

$124.7K

$170.7K

How much do remote startup data engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for remote startup 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 is the difference between Remote Startup Data Engineer vs Remote Startup Data Analyst?

AspectRemote Startup Data EngineerRemote Startup Data Analyst
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentBuilding data pipelines, infrastructureInterpreting data, creating reports
Employer & Industry UsageTech startups, SaaS companiesMarketing agencies, e-commerce startups
Common Search & ComparisonOften compared for technical depth and infrastructure focusCompared for data interpretation and business insights

The main difference between a Remote Startup Data Engineer and a Remote Startup Data Analyst lies in their focus areas. Data Engineers build and maintain data infrastructure, while Data Analysts interpret data to inform business decisions. Both roles are essential in startups but require different skill sets and responsibilities.

What are the most commonly searched types of Startup Data Engineer jobs in Atlanta, GA? The most popular types of Startup Data Engineer jobs in Atlanta, GA are:
What are popular job titles related to Remote Startup Data Engineer jobs in Atlanta, GA? For Remote Startup Data Engineer jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Remote Startup Data Engineer jobs in Atlanta, GA look for? The top searched job categories for Remote Startup Data Engineer jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Remote Startup Data Engineer jobs? Cities near Atlanta, GA with the most Remote Startup Data Engineer job openings:

Senior AWS Data Engineer

Sequoia Connect

Atlanta, GA • On-site, Remote

$101K - $138K/yr

Full-time

Posted yesterday

New


Job description

Description
At Sequoia Connect, we are a Talent-First Technology Ecosystem that redefines how elite professionals interact with the global digital landscape. We move beyond traditional models to act as a catalyst for the top 1% of global talent, connecting human potential with complex industrial execution. By joining our inner circle, you are not simply taking a position; you are aligning with a strategic partner dedicated to updating your "Human OS" and accelerating your growth through world-class, high-impact projects.
We are currently partnering with a rapidly growing, automation-led powerhouse that serves 31 Fortune 500 companies across the financial, healthcare, and manufacturing sectors. With a global workforce of over 32,000 employees and a presence in 28 countries, our client is a titan of digital transformation. Their "Automate Everything, Cloudify Everything" strategy ensures you will be working at the absolute forefront of AI-driven automation and cloud solutions.
This is your chance to thrive in a "Customer Success, First and Always" environment that prizes continuous learning and radical ownership. You will collaborate within an international network of expertise across 39 delivery centers worldwide, gaining exposure to complex engineering challenges that redefine industrial standards. If you are a driven professional looking for a dynamic, forward-thinking workplace where your growth is the priority, this is where you belong.
We are currently searching for a Senior AWS Data Engineer:
The Challenge (Responsibilities)
  • Design, build, and maintain scalable ETL and data pipelines using Python, PySpark, and AWS services.
  • Develop and manage workflows using Glue, Lambda, and Step Functions.
  • Build event-driven integrations using SNS, SQS, and related AWS services.
  • Design and optimize data lake and warehouse solutions using S3, Athena, and Redshift.
  • Write and tune high-performance SQL for complex transformations and reporting.
  • Design and Implement data validation, monitoring, logging, alerting, and error-handling frameworks.
  • Design and Support API-based and JSON-based integrations across internal and external systems.
  • Troubleshoot operational issues, identify root causes, and implement corrective actions.
  • Contribute to documentation, deployment automation, and engineering best practices.
  • Collaborate with stakeholders and mentor junior team members where needed.

Your Profile (Requirements)
  • Degree holders for the visa application process.
  • 8-12 years of software development experience across the appropriate platform.
  • Solid IT background and experience.
  • Experience as an application developer for projects similar in scope and responsibility.
  • Strong expertise in Python, PySpark, and SQL.
  • Strong hands-on experience with AWS services such as Glue, Redshift, RDS, Lambda, Step Functions, SNS, SQS, S3, Athena, EMR, CloudWatch, and CloudTrail.
  • Experience with enterprise data lakes, data warehouses, data marts, and big data environments.
  • Strong understanding of ETL best practices, data quality, and operational support.
  • Experience with APIs, JSON, and cloud-based data integration patterns.
  • Familiarity with GitLab, Terraform, CI/CD, and AWS developer tools.
  • Experience with DynamoDB, EC2, ECS and Batch.
  • Exposure to data migration and cloud modernization programs.
  • Have a good understanding of performance engineering of code pipelines and near real-time systems.
  • Good understanding of Agents and MCP.
  • High-Performance Mindset: Resilience, emotional intelligence, and a focus on agile delivery.
  • Technologist DNA: A deep understanding of the difference between "coding" and "engineering."

Desired
  • Familiarity with cloud-native foundations or AI coding assistants.

Languages
  • Advanced Oral English: For seamless collaboration with global teams.
  • Advanced Spanish.

Special Notes
  • N/A

Work Arrangement
We value flexibility to support your lifestyle. This position is available as:
  • Remote

If you meet these qualifications and are pursuing new challenges, start your application on our website to join an award-winning employer. Explore all our job openings | Sequoia Career's Page: https://www.sequoia-connect.com/careers/
Requirements
  • 8-12 years of software development experience across the appropriate platform.
  • Solid IT background and experience.
  • Experience as an application developer for projects similar in scope and responsibility.
  • Strong expertise in Python, PySpark, and SQL.
  • Strong hands-on experience with AWS services such as Glue, Redshift, RDS, Lambda, Step Functions, SNS, SQS, S3, Athena, EMR, CloudWatch, and CloudTrail.
  • Experience with enterprise data lakes, data warehouses, data marts, and big data environments.
  • Strong understanding of ETL best practices, data quality, and operational support.
  • Experience with APIs, JSON, and cloud-based data integration patterns.
  • Familiarity with GitLab, Terraform, CI/CD, and AWS developer tools.
  • Experience with DynamoDB, EC2, ECS and Batch.
  • Exposure to data migration and cloud modernization programs.
  • Have a good understanding of performance engineering of code pipelines and near real time systems
  • Good understanding on Agents and MCP