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Principal Data Engineer Jobs in Georgia (NOW HIRING)

Stable Kernel

Principal Data Engineer

Atlanta, GA · On-site

As a Stable Kernel Principal Data Engineer , you play an essential role in setting our portfolio of world-class clients up for success through the development and delivery of their most innovative ...

Stable Kernel

Principal Data Engineer

Atlanta, GA

As a Stable Kernel Principal Data Engineer , you play an essential role in setting our portfolio of world-class clients up for success through the development and delivery of their most innovative ...

Greensky Credit

Principal Data Engineer

Alpharetta, GA · On-site

$107K - $129K/yr

Principal Data Engineer with GREENSKY MANAGEMENT COMPANY LLC in Atlanta, GA. Applicant may work remotely from anywhere in the U.S. Design, develop, and execute software test plans, strategies, and ...

AT&T

Principal Data/AI Engineering

Atlanta, GA · On-site

$155K - $261K/yr

As a Principal Data/AI Engineering your tasks may include, but are not limited to, the following: Architect, develop, and optimize scalable, high-performance solutions using advanced software ...

AT&T

Principal Data/AI Engineering

Alpharetta, GA · On-site

$155K - $261K/yr

As a Principal Data/AI Engineering your tasks may include, but are not limited to, the following: Architect, develop, and optimize scalable, high-performance solutions using advanced software ...

Cargill

Principal, Data Engineering

Atlanta, GA

Job Summary The Principal, Data Engineering job provides thought leadership in the execution of strategic plans related to design, development and maintenance of robust data systems. As a recognized ...

Cargill

Principal, Data Engineering

Atlanta, GA · On-site

Job Summary The Principal, Data Engineering job provides thought leadership in the execution of strategic plans related to design, development and maintenance of robust data systems. As a recognized ...

Cargill

Principal, Data Engineering

Atlanta, GA · On-site

Job Summary The Principal, Data Engineering job provides thought leadership in the execution of strategic plans related to design, development and maintenance of robust data systems. As a recognized ...

Mercedes-Benz Cars UK Limited

IT Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

The Principal Data Engineer is a senior technical leader responsible for defining complex problem spaces, setting architectural direction, and delivering scalable, enterprise-grade data platforms and ...

Daimler

IT Data Engineer

Atlanta, GA

$110K - $132K/yr

The Principal Data Engineer is a senior technical leader responsible for defining complex problem spaces, setting architectural direction, and delivering scalable, enterprise-grade data platforms and ...

Speria

Principal Data Architect

Atlanta, GA · On-site

As a Principal Data Architect, you will lead the design and implementation of enterprise-grade data ... Required : • 10+ years experience in enterprise data architecture and engineering. • Expertise ...

Invesco

Principal Data Scientist, SIP

Atlanta, GA · Hybrid

Employee stock purchase plan Your Role The Advanced Engineering team is Invesco's AI center of ... We are seeking a Principal Data Scientist in Atlanta to design, build, and validate agentic AI ...

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All JobsPrincipal Data Engineer JobsPrincipal Data Engineer Jobs in Georgia

Principal Data Engineer information

See Georgia salary details

$62.5K

$124.3K

$179.4K

How much do principal data engineer jobs pay per year?

As of Jul 26, 2026, the average yearly pay for principal data engineer in Georgia is $124,310.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,100.00 and $146,100.00 per year, depending on experience, location, and employer.

Can I make 200K as a Data Engineer?

Principal Data Engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn salaries around or above $200,000 annually, especially in high-cost-of-living areas or senior roles. Compensation varies based on location, industry, company size, and individual qualifications, with some senior data engineers earning close to or exceeding this figure.

What are the typical daily responsibilities of a Principal Data Engineer?

As a Principal Data Engineer, your day-to-day responsibilities generally include designing and optimizing large-scale data pipelines, developing architectural strategies, and overseeing the implementation of robust data solutions. You'll collaborate closely with data scientists, analysts, and software engineers to ensure the organization's data infrastructure is efficient, scalable, and secure. You may also mentor junior team members, review code, and set data engineering best practices. This role frequently requires balancing hands-on technical work with strategic planning and stakeholder communication to align data initiatives with business goals.

What is a Principal Data Engineer job?

A Principal Data Engineer is a senior-level technical role responsible for designing, building, and maintaining large-scale data infrastructure. They lead data engineering teams, establish best practices, and ensure efficient data pipelines to support analytics and machine learning. This role involves working with cloud platforms, big data technologies, and distributed systems to optimize data processing. Principal Data Engineers collaborate with data scientists, analysts, and business stakeholders to drive data-driven decision-making. Their work is critical in enabling organizations to leverage data effectively for insights and innovation.

What engineers make 300,000 a year?

Principal Data Engineers and senior engineering roles in fields like software, cloud, and machine learning often have salaries reaching or exceeding $300,000 annually, especially with extensive experience, advanced skills, and in high-demand industries. Compensation can include base salary, bonuses, and stock options, particularly at large tech companies or startups with significant funding.

What does a principal Data Engineer do?

A principal Data Engineer designs, develops, and maintains large-scale data systems and pipelines to support data analysis and business decision-making. They often lead data architecture initiatives, ensure data quality and security, and collaborate with data scientists and engineers using tools like SQL, Spark, and cloud platforms. This role typically requires extensive experience in data engineering and strong problem-solving skills.

What engineer makes $500,000 a year?

Principal Data Engineers or senior engineering roles in high-demand industries can earn $500,000 or more annually, especially with extensive experience, advanced skills in data architecture, and leadership responsibilities. Compensation at this level often includes base salary, bonuses, and stock options, typically found in large tech companies or organizations with significant data infrastructure needs.

What are the key skills and qualifications needed to thrive in the Principal Data Engineer position, and why are they important?

To thrive as a Principal Data Engineer, you need a deep understanding of data architecture, data modeling, ETL development, and distributed computing, often supported by a degree in computer science or a related field. Proficiency with technologies such as Hadoop, Spark, Python, SQL, and cloud platforms (AWS, Azure, or Google Cloud), as well as certifications in relevant tools or data engineering, is highly valuable. Strong leadership, problem-solving skills, and effective cross-functional communication are essential soft skills for this role. These combined abilities enable Principal Data Engineers to design scalable data solutions, drive engineering best practices, and lead complex projects to successful completion.

What are the most commonly searched types of Principal Data Engineer jobs in Georgia? The most popular types of Principal Data Engineer jobs in Georgia are:
What are popular job titles related to Principal Data Engineer jobs in Georgia? For Principal Data Engineer jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Principal Data Engineer jobs in Georgia look for? The top searched job categories for Principal Data Engineer jobs in Georgia are:
What cities in Georgia are hiring for Principal Data Engineer jobs? Cities in Georgia with the most Principal Data Engineer job openings:
Principal Data Engineer jobs near you
Infographic showing various Principal Data Engineer job openings in Georgia as of July 2026, with employment types broken down into 100% Full Time. Highlights an 73% In-person, and 27% Remote job distribution, with an average salary of $124,310 per year, or $59.8 per hour.
Principal Data Engineer

Principal Data Engineer

Stable Kernel

Atlanta, GA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago

Job description

About the Company:
Stable Kernel is a technology services firm and custom software developer building scalable software solutions for cutting-edge, innovative enterprises to move their business forward. We are headquartered in Atlanta, GA.
We're a privately held, Great Place to Work Certified Company™ with a multi-award-winning culture and an impressive 10-plus-year trajectory of sustainable growth. At Stable Kernel, we support our employees in ways that help them do some of the best work of their lives.
About the Role:
As a Stable Kernel Principal Data Engineer, you play an essential role in setting our portfolio of world-class clients up for success through the development and delivery of their most innovative, transformational initiatives. You will collaborate daily with other engineers and product team members, make decisions that influence the path of a product roadmap, leverage software development best practices, and become a more well-rounded engineer as you learn new technologies. Your knowledgeable practice, reliability, and consultative nature make you an engineer that stakeholders and teammates trust.
Principal Data Engineers may be classified as individual contributors or people managers with individual contributor responsibilities.
Core Responsibilities Include:
  • Technical Impact:
    • Designing and implementing exemplary solutions regarding scalability and cost-effectiveness by making trade-offs between opportunity and complexity.
    • Setting standards for codebase health and promoting best practices throughout the organization.
  • Business Alignment:
    • Clarifying strategic outcomes and influencing roadmaps and projects.
    • Identifying, suggesting, and driving improvements in your customers' end-to-end experience.
    • Aiding in estimating work for new business with more unknowns and coaching others in estimation best practices.
  • Interacting with Others:
    • Coordinating across the entire company.
    • Influencing the entire organization to make changes to support your work.
    • Advising teams across the company.
  • Autonomy & Ambiguity:
    • Designing a long-term roadmap with no direction.
    • Translating customer and business needs and strategic direction into projects and consistently simplifying high-complexity situations.
    • Coaching and mentoring others in tackling ambiguity.
  • Problem-Solving:
    • Decomposing strategic direction into projects:
      • Planning, communicating, and executing to solve our most challenging problems.
      • Ensuring alignment with long-term objectives, fostering a culture of informed decision-making and innovation.
    • Anticipating most risks and driving simplification to mitigate risks ahead of time.
    • Escalating issues while solving them in parallel ensuring others are informed.
  • Leadership:
    • Proposing new organization-level processes to improve key areas such as team throughput, employee happiness, or product engagement.
    • Driving best practices across the organization.
    • Exhibiting exceptional mentoring abilities and fostering a culture of continuous learning and improvement by
      • identifying and nurturing potential in others
      • providing strategic guidance
      • helping develop career paths for team members
    • Leading projects.
      • Setting the strategic direction for projects or areas of technology, leading multiple project teams, and influencing decision-making at higher organizational levels.
      • Exhibiting strong capabilities in stakeholder management, negotiating, and problem-solving in complex scenarios.
      • Mentoring and developing other leaders within the team, fostering a culture of innovation, and contributing significantly to organizational goals.

Intimate, Working Familiarity With:
  • Python & Modern Programming Languages: Architect and deliver scalable data platforms using Python, with proficiency in at least one additional language such as Go, Java, C#, or Scala.
  • Data Processing Frameworks: Design and optimize high-volume data pipelines using DataFrame processing libraries such as Pandas or Polars.
  • Serverless Cloud Architecture: Build and operate cloud-native data solutions using AWS Lambda or equivalent serverless technologies.
  • Software Engineering Best Practices: Apply modern software engineering principles to deliver production-quality, maintainable, testable, and observable code.
  • Distributed Data Processing: Design and implement scalable ETL/ELT pipelines using AWS Glue, Apache Spark, PySpark, or similar distributed processing frameworks.
  • Data Modeling: Architect relational and analytical data models, including dimensional modeling, Star Schema, and Snowflake Schema to support reporting and analytics.
  • Infrastructure as Code: Automate cloud infrastructure using Infrastructure as Code tools such as Terraform, Pulumi, or similar technologies.
  • CI/CD for Data Platforms: Design and maintain CI/CD pipelines that automate the build, testing, deployment, and monitoring of data engineering workflows.

General Requirements:
  • 10+ years of development experience.
  • Extensive experience serving as a trusted consultant to stakeholders and cross-functional teams, providing expert guidance on backend service design, delivery, and integration.
  • A curious technologist who explores AI augmented development workflows, leveraging tools such as Anthropic models, Cursor, Copilot with Open Spec, Spec Kit, and related frameworks.
  • Degree in Computer Science or relevant field or experience.

Nice to Haves:
  • Experience building high-performance data services using Go (Golang).
  • Familiarity with Apache Iceberg for managing large-scale analytical datasets.
  • Experience orchestrating complex workflows using AWS Step Functions.
  • Knowledge of Slowly Changing Dimensions (SCD) and Change Data Capture (CDC) patterns for modern data architectures.
  • Experience with data governance and cataloging platforms such as Unity Catalog, AWS DataZone, Apache Atlas, or dbt metadata.
  • Familiarity with columnar data formats including Parquet, ORC, and Avro for optimized analytical workloads.
  • Understanding of OLTP and OLAP architectures and the appropriate use cases for each.
  • Additional experience implementing cloud infrastructure using Terraform, Pulumi, or similar Infrastructure as Code tools.

A Bit More Info:
Minimum Base Compensation: $170,000
This is a full-time position.
Stable Kernel operates a People Before Place Hybrid model, allowing most employees to choose where they can do their best work most days.
Minimal travel is associated with this role.
Our generous total compensation package includes:
  • Company-subsidized health, vision, and dental plan premium options beginning on the first day of employment
  • 401k with above-average company matching
  • Fully paid Group Life, Short and Long Term Disability, and AD&D insurance
  • Optional Flexible Spending Account and Health Savings Account participation
  • Voluntary Life, Critical Illness, and Accident insurance
  • EAP and Health Advocacy program available at no cost to employees and their dependents
  • $3000+ annual industry educational budget
  • Paid time off and paid holidays Access to Perks at Work program featuring a variety of discounted products and services

*Note - We are not sponsoring employment visas at this time. If you are currently in possession of an employment visa, it will need to be effective for at least 3 years from the date of your application for your candidacy for employment to be considered.
Stable Kernel's culture is inclusive and expansive. We celebrate diversity in its many glorious forms and do not discriminate based on race, religion, color, national origin, gender role orientation, sexual orientation, age, marital status, veteran status, or disability status.
However, we will discriminate against those unwilling to comply with the practice of our company values:
  • we work with integrity always
  • we respect our work and each other
  • we are dedicated to life-long learning and sharing
  • we stay hungry for new challenges

If you are like-minded in this regard, we hope you will apply. We look forward to meeting you.

Apply