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Data Engineer 300K Jobs in Raleigh, NC (NOW HIRING)

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Data Engineer 300K information

See Raleigh, NC salary details

$43.3K

$126.1K

$172.5K

How much do data engineer 300k jobs pay per year?

As of Jul 14, 2026, the average yearly pay for data engineer 300k in Raleigh, NC is $126,095.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,300.00 and $133,700.00 per year, depending on experience, location, and employer.

What are Data Engineers and what do they do?

Data Engineers are professionals who design, build, and maintain the systems and infrastructure needed to collect, store, and process large sets of data. Their work enables organizations to manage data efficiently and make it accessible for analysis by data scientists and other stakeholders. Data Engineers often work with big data technologies, databases, and tools for data integration, ensuring high performance, reliability, and scalability of data pipelines. Earning a high salary, such as $300K, typically requires advanced expertise, experience with complex architectures, and contributions to large-scale or mission-critical projects.

What are some common challenges Data Engineers face when managing large-scale data pipelines, and how can they be addressed?

Data Engineers often encounter challenges such as ensuring data quality, optimizing pipeline performance, and handling data schema changes across large-scale, distributed systems. Addressing these issues typically involves implementing robust data validation checks, utilizing scalable data processing frameworks like Apache Spark, and adopting version control practices for data schemas. Collaboration with data scientists, analysts, and DevOps teams is also key to addressing integration and deployment challenges, ensuring that data pipelines remain reliable and efficient as business needs evolve.

What are the key skills and qualifications needed to thrive as a Data Engineer, and why are they important?

To thrive as a Data Engineer, you need strong programming skills (especially in Python, Java, or Scala), expertise in database management, and a solid understanding of data architecture, typically supported by a degree in computer science or a related field. Familiarity with tools like SQL, Apache Spark, Hadoop, and cloud platforms such as AWS or Azure, as well as certifications like AWS Certified Data Analytics, are commonly required. Excellent problem-solving abilities, collaboration, and effective communication distinguish top performers in this role. These skills are vital for efficiently designing, building, and maintaining scalable data infrastructure that enables organizations to make data-driven decisions.

What is the difference between Data Engineer 300K vs Data Scientist?

AspectData Engineer 300KData Scientist
Required SkillsSQL, Python, ETL, Big Data toolsStatistics, Machine Learning, Python/R
Work EnvironmentData pipelines, infrastructure, backend systemsData analysis, modeling, research
Industry UsageData engineering teams, cloud platformsAnalytics teams, research departments

Data Engineer 300K and Data Scientist roles often share skills like Python and data handling. However, Data Engineer 300K focuses on building and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles are vital in data-driven organizations, but their daily tasks and skill emphasis differ significantly.

What are popular job titles related to Data Engineer 300K jobs in Raleigh, NC? For Data Engineer 300K jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Data Engineer 300K jobs in Raleigh, NC look for? The top searched job categories for Data Engineer 300K jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Data Engineer 300K jobs? Cities near Raleigh, NC with the most Data Engineer 300K job openings:
Data Engineer 300K jobs near you
Director, Global Scaled CS

Director, Global Scaled CS

Kong

Raleigh, NC • On-site

$250K - $300K/yr

Full-time

Re-posted 13 days ago

Job description

Are you ready to unlock intelligence?

If you don’t think you meet all of the criteria below but are still interested in the job, please apply. Nobody checks every box - we’re looking for candidates that are particularly strong in a few areas, and have some interest and capabilities in others.

About the Role:

Kong is looking for a visionary Director of Scaled Customer Success to redefine how we support, retain, and grow our expanding global commercial base. This is not a traditional "hands-on" account management role; we are looking for a digital-first architect who can blend human expertise with cutting-edge automation and AI.

You will lead a high-performing global team of Customer Success Managers (CSMs) focusing on a "one-to-many" approach that ensures every customer—regardless of size—achieves world-class API connectivity and business value.

What you'll do:

  • Lead a Global Team: Directly leading a global team of CSMs (and growing), fostering a culture of technical excellence and proactive customer advocacy within the Commercial segment.

  • Low-Touch Strategy Development: Design and execute a sophisticated "one-to-many" CS strategy. You will move away from manual intervention toward a scalable model that maintains high engagement through innovation.

  • Scaled Digital Journeys: Build end-to-end digital customer lifecycles. You will automate onboarding and adoption paths to accelerate "Time to Value" (TTV) milestones for thousands of users.

  • AI-Enhanced Customer Experience: Act as a pioneer in the "new age" of CS. Identify and implement AI-driven tools and workflows to provide a personalized, high-touch feel at a massive scale.

  • Scale-Focused Content Strategy: Shift the paradigm from manual support to a digital-first resource engine. Lead the creation of automated webinars, interactive documentation, and self-service hubs.

  • Value-to-Utilization Alignment: Monitor the health of the commercial base to identify and bridge "Value Debt." You will ensure that customer technical utilization directly translates into realized business outcomes to prevent churn.

  • Strategic Forecasting: Partner closely with the Renewals Manager to develop precise annual and quarterly forecasts, driving higher retention and expansion rates across the scaled segment.

What you'll bring:

 

  • Experience: 10+ years of professional experience in Customer Success, Account Management, or Professional Services within the SaaS or Infrastructure space.

  • Leadership: 5+ years of experience leading and scaling high-performing teams, ideally in a global or remote environment.

  • Technical Pedigree: Experience leading a TAM (Technical Account Manager) or Technical CSM function is highly preferred. You should be comfortable discussing API management, microservices, or cloud infrastructure.

  • The "Digital First" Mindset: A proven track record of building automated customer journeys and utilizing CS platforms (e.g., Gainsight, Totango, ChurnZero) to drive scale.

  • Data-Driven: Ability to translate complex data sets into actionable retention strategies and accurate financial forecasts.

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About Kong:

Kong Inc., a leading developer of API and AI connectivity technologies, is building the infrastructure that powers the agentic era. Trusted by the Fortune 500 and startups alike, Kong's unified API and AI platform, Kong Konnect, enables organizations to secure, manage, accelerate, govern, and monetize the flow of intelligence across APIs and AI models. For more information, visit www.konghq.com.

Compensation Range: $250K - $300K