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

Sr. Data Analyst - Transport

Atlanta, GA · On-site +1

$82K - $104K/yr

As a senior analyst in a well-funded, growth Series C start-up, you will be defining our growth ... Influence the culture, values, and processes of a growing engineering team * Enjoy and have fun ...

Location- Hybrid (3 days in office, 2 days remote): Atlanta, GA, Columbus, GA or Jacksonville, FL ... Partner with product, engineering, business, and executive stakeholders to translate business ...

Location- Hybrid (3 days in office, 2 days remote): Atlanta, GA, Columbus, GA or Jacksonville, FL ... Partner with product, engineering, business, and executive stakeholders to translate business ...

... with senior data scientists to build and support AI/ML and Gen AI models. You will test models to ensure efficacy and compliance before deployment, work hand-in-hand with ML Engineers to deploy ...

Sr. Director Data & AI Platform Architect

Atlanta, GA · On-site +1

$64.75 - $86.50/hr

As Senior Director Data & Artificial Intelligence (AI) Platform Architect at Honeywell Technologies ... Proven ability toarchitectend-to-end ML systems, includingdata pipelines, feature engineering ...

Sr. Director Data & AI Platform Architect

Atlanta, GA · On-site +1

$64.75 - $86.50/hr

As Senior Director Data & Artificial Intelligence (AI) Platform Architect at Honeywell Technologies ... Proven ability toarchitectend-to-end ML systems, includingdata pipelines, feature engineering ...

Lead Data Scientist

Atlanta, GA · Remote

$166K - $214K/yr

The role will involve working with other Senior Data Scientists and mentoring Associate Data ... Strong knowledge of key programming concepts (e.g. split-apply-combine, data structures, object ...

Showing results 21-40

Remote Senior Data Engineer information

See Atlanta, GA salary details

$77.9K

$121.5K

$168.3K

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

As of Aug 7, 2026, the average yearly pay for remote senior data engineer in Atlanta, GA is $121,485.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,900.00 and $138,500.00 per year, depending on experience, location, and employer.

What is the difference between Remote Senior Data Engineer vs Data Scientist?

AspectRemote Senior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Data Engineering certificationsBachelor's/Master's in CS, Data Science or related fields, certifications
Work EnvironmentData pipelines, ETL processes, cloud platformsData analysis, modeling, visualization tools
Industry UsageTech, finance, healthcare, e-commerceTech, marketing, research, finance

Remote Senior Data Engineers focus on building and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles often collaborate but serve different functions within data teams. Understanding these differences helps in choosing the right career path or job search focus.

What is a remote senior data engineer?

Remote Senior Data Engineers are experienced professionals who design, build, and maintain complex data systems and pipelines, but work from a location outside of the company's main office. They are responsible for ensuring reliable data flow, optimizing data storage, and supporting analytics, often collaborating with teams across different time zones. Their role typically involves advanced programming, data architecture, and the implementation of best practices in data engineering, all while working remotely. This position demands strong technical skills, excellent communication, and the ability to work independently.

How does a remote senior data engineer typically collaborate with distributed teams to ensure data pipeline reliability?

As a Remote Senior Data Engineer, collaboration with cross-functional, distributed teams is usually facilitated through agile project management tools, regular video meetings, and shared documentation platforms. You’ll often work closely with data scientists, analysts, and DevOps engineers to design, build, and maintain scalable data pipelines. Clear communication and proactive status updates are essential to ensure everyone stays aligned and issues are addressed quickly. Leveraging version control systems and automated testing also helps maintain the reliability and quality of the data infrastructure across different time zones.

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

To thrive as a Remote Senior Data Engineer, you need advanced expertise in data engineering concepts, SQL, and programming languages like Python or Scala, along with a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data frameworks (like Spark or Hadoop), and relevant certifications are typically required. Excellent problem-solving, communication, and self-management skills are crucial for collaborating remotely and driving projects independently. These competencies ensure robust data pipelines, effective teamwork, and successful delivery of scalable data solutions in distributed environments.
What cities near Atlanta, GA are hiring for Remote Senior Data Engineer jobs? Cities near Atlanta, GA with the most Remote Senior Data Engineer job openings:
Infographic showing various Remote Senior Data Engineer job openings in Atlanta, GA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $121,485 per year, or $58.4 per hour.

Senior Payments Data Optimization Analyst

Optimized Payments

Atlanta, GA • On-site, Remote

$82K - $104K/yr

Full-time

Re-posted 26 days ago


Job description

Who are you?

Are you a strategic mastermind and part organizational guru looking to join a fintech? Look no further! Optimized Payments is seeking a highly motivated and experienced Senior Payments Data Optimization Analyst to join our growing team.

OP is seeking an innovative and dedicated individual committed to both serving our customers and having fun! Driven, with an entrepreneurial spirit and a heart for fintech. We're looking for someone who wants to make a significant impact on the Company, Clients, and your Career. At Optimized Payments, our people embrace these qualities, so if this sounds like you then please read on!

The Role:

The Senior Payments Data Optimization Analyst serves as the technical business liaison between Optimized Payments' consulting team and internal Data Engineering and Data Science partners. The role focuses on transaction-level data, aggregated data, reporting accuracy, and performance optimization across our client base.

Approximately 75% of the role partners with technical teams on data quality, analytics, and optimization initiatives, with 25% supporting client-facing insights and consulting discussions across platforms such as Fiserv, Chase, Stripe, Adyen, Worldpay, etc.

While this is a hybrid position based in Atlanta, you will have the opportunity to work remote primarily.

Responsibilities:

Data Quality, Normalization & Governance

  • Identify, track, and escalate data discrepancies or integrity issues impacting analytics, KPIs, client reporting, and analysis.
  • Support data normalization efforts of authorization, clearing, settlement, and fee data across multiple processors, gateways, and client data sources.
  • Partner with data engineering teams to define data requirements, schemas, and transformation logic for payment analytics requirements and improve data pipelines.
  • Contribute to and maintain documentation of data definitions, KPI logic, and calculation methodologies.
  • Assist in maintaining consistent reporting standards and governance controls across clients.
  • Validate reporting outputs and ensure alignment between source transaction data and downstream dashboards.
  • Review source-to-target mappings, schemas, and transformations to ensure accuracy of downstream reporting.

Payments Performance & Optimization

  • Analyze transaction, authorization, decline, fee, and network data to identify optimization opportunities for existing clients.
  • Monitor and report on key payments KPIs (e.g., authorization rates, interchange impact, routing performance, fraud indicators).
  • Develop data-driven recommendations to improve payments performance and reduce cost for our clients.
  • Support testing and performance initiatives for clients (e.g., routing strategies, retry logic, tokenization adoption, configuration changes).
  • Quantify impact of optimization initiatives and track performance over time.

Client Support & Insights

  • Prepare client-facing reporting and performance summaries using our proprietary analytics platform.
  • Translate complex payment and operational data into clear, actionable recommendations.
  • Support consulting discussions with analytical context, benchmarking, and scenario modeling.

Cross-Functional Collaboration

  • Partner with Technology, Data Engineering, Product, and Client teams to implement and measure optimization initiatives.
  • Help define business requirements for reporting enhancements and data improvements.
  • Document findings, assumptions, and measurable outcomes of optimization efforts.

Skills and Qualifications:

  • Bachelor's degree in a related field such as Finance, Statistics, Economics, or Computer Science.
  • 3-5 years of experience in payments, analytics, finance, consulting, or related field.
  • Experience with card payments, interchange, authorization strategies, or network data is required.
  • Strong analytical skills and experience working with large datasets.
  • Proficiency in SQL and experience with BI tools (e.g., Tableau, Power BI, Looker).
  • Ability to communicate insights clearly to both technical and non-technical stakeholders.
  • Strong attention to detail and structured problem-solving approach.
  • Knowledge of credit card scheme regulations, disputes, and chargeback processes.
  • Familiarity with payment gateways, processors, or fraud tools, including cross-border and local payment methods.
  • Deep understanding of how these systems interconnect and the resulting impact on credit card payment success.
  • Understanding of A/B testing or performance experimentation frameworks.