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Sr Data Engineer Jobs in Raleigh, NC (NOW HIRING)

IONNA LLC

Senior Data Platform Engineer

Raleigh, NC · On-site

$103K - $140K/yr

Job Summary IONNA is seeking a Senior Data Platform Engineer to own and evolve the data infrastructure that powers our EV charging operations. The Technology team is a mission-driven group committed ...

IONNA LLC

Senior Data Platform Engineer

Raleigh, NC · On-site

$103K - $140K/yr

Job Summary IONNA is seeking a Senior Data Platform Engineer to own and evolve the data infrastructure that powers our EV charging operations. The Technology team is a mission-driven group committed ...

Pwc

Data Engineer - Senior Manager

Raleigh, NC

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Pwc

Data Engineer - Senior Associate

Raleigh, NC

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

IONNA LLC

Senior Data Platform Engineer

Raleigh, NC

$103K - $140K/yr

Job Summary IONNA is seeking a Senior Data Platform Engineer to own and evolve the data infrastructure that powers our EV charging operations. The Technology team is a mission-driven group committed ...

Serigor, Inc.

Data Engineer - Senior (Hybrid)

Raleigh, NC · On-site

$111K - $133K/yr

Data Engineer - Senior (Hybrid) Location: Raleigh, NC Duration: 09 Months with possible extension We are seeking a skilled mid-level+ Data Engineer to join our team and focus on quality assurance ...

New

IONNA LLC

Senior Data Analyst

Raleigh, NC

$110/hr

About the Role We are seeking a highly skilled Senior Data Analyst with a strong foundation in data ... Data Engineering & Tooling (Analytics-Focused) * Develop AI models and datasets to inform business ...

IONNA LLC

Senior Data Analyst

Raleigh, NC

$110/hr

About the Role We are seeking a highly skilled Senior Data Analyst with a strong foundation in data ... Data Engineering & Tooling (Analytics-Focused) * Develop AI models and datasets to inform business ...

IONNA LLC

Senior Data Analyst

Raleigh, NC · On-site

$110/hr

About the Role We are seeking a highly skilled Senior Data Analyst with a strong foundation in data ... Data Engineering & Tooling (Analytics-Focused) * Develop AI models and datasets to inform business ...

Pwc

Data Engineer - Senior Associate

Raleigh, NC

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary The Opportunity As a Data Engineer - Senior Associate, you will focus on designing and ...

A.C. Coy

Sr. Data Engineer-Databricks SME (Remote)

Raleigh, NC · On-site +1

$111K - $133K/yr

Tier One Technologies is seeking a Data Engineer to support our US Government client with data ingestion, data deduplication and data tagging for migration of a large-scale data environment into ...

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All JobsSr Data Engineer JobsSr Data Engineer Jobs in Raleigh, NC

Sr Data Engineer information

See Raleigh, NC salary details

$78.7K

$122.8K

$170.1K

How much do sr data engineer jobs pay per year?

As of Jul 19, 2026, the average yearly pay for sr data engineer in Raleigh, NC is $122,794.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,000.00 and $140,000.00 per year, depending on experience, location, and employer.

What is the difference between Sr Data Engineer vs Data Engineer?

AspectSr Data EngineerData Engineer
Required CredentialsBachelor's degree in CS or related field; 3+ years experience; SQL, Python, SparkBachelor's degree in CS or related field; 1-3 years experience; SQL, Python, Spark
Work EnvironmentCollaborates with data scientists, analysts; designs scalable data pipelinesBuilds and maintains data pipelines; supports data analysis
Employer & Industry UsageTech companies, finance, healthcare; used for complex data projectsStartups, enterprises; used for data collection and processing

The main difference between a Sr Data Engineer and a Data Engineer lies in experience level, responsibilities, and complexity of projects. Sr Data Engineers typically have more experience, handle more complex data architecture, and mentor junior staff, whereas Data Engineers focus on building and maintaining data pipelines. Both roles are essential in data-driven organizations, but the senior role involves greater technical leadership and strategic planning.

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

To thrive as a Sr Data Engineer, you need expertise in data architecture, ETL processes, programming (such as Python or Scala), and a strong background in computer science or a related field. Familiarity with big data technologies like Hadoop, Spark, cloud platforms (AWS, Azure, GCP), and database management systems, along with relevant certifications, is typically required. Advanced problem-solving abilities, attention to detail, and strong collaboration skills help set top performers apart in this role. These skills and qualities ensure the efficient design, implementation, and maintenance of robust data pipelines that enable data-driven decision-making across the organization.

How do Sr Data Engineers typically collaborate with data scientists and analysts within a project team?

Sr Data Engineers play a crucial role in bridging the gap between raw data and actionable insights. They work closely with data scientists and analysts to understand data requirements, design robust data pipelines, and ensure the reliability and scalability of data infrastructure. Regular collaboration involves translating analytical needs into technical specifications, optimizing data flow, and troubleshooting data issues. This teamwork ensures that data-driven projects progress smoothly and that the analytical team has timely access to clean, well-structured data.

What are Sr Data Engineers?

Sr Data Engineers, or Senior Data Engineers, are experienced professionals responsible for designing, building, and maintaining scalable data pipelines and architectures. They work with large datasets, ensuring data quality, reliability, and accessibility for analytics and business intelligence purposes. Sr Data Engineers collaborate with data scientists, analysts, and other stakeholders to implement data solutions that support decision-making and business growth. Their expertise often includes proficiency in programming languages like Python or Java, experience with big data tools such as Hadoop or Spark, and a deep understanding of database systems.
What are popular job titles related to Sr Data Engineer jobs in Raleigh, NC? For Sr Data Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Sr Data Engineer jobs in Raleigh, NC look for? The top searched job categories for Sr Data Engineer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Sr Data Engineer jobs? Cities near Raleigh, NC with the most Sr Data Engineer job openings:
Sr Data Engineer jobs near you

Senior Data Platform Engineer

IONNA LLC

Raleigh, NC • On-site

$103K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 25 days ago

Job description

Reports to: Director of Software Development
This role requires a full-time onsite presence in Durham, NC
Please note: We are only able to consider candidates who are U.S. citizens or lawful permanent residents (green card holders) and who do not require current or future visa sponsorship of any sort.
Job Summary
IONNA is seeking a Senior Data Platform Engineer to own and evolve the data infrastructure that powers our EV charging operations. The Technology team is a mission-driven group committed to delivering the best driver experience in the EV charging industry. Our datalake underpins everything from real-time operational monitoring to company-wide KPIs like Charge Success Rate, and this role is responsible for keeping it reliable, performant, and trustworthy.
You will own the full lifecycle of our analytical database - schema design, materialized views, data pipelines, and the KPI calculations that drive business decisions. You will work across our medallion architecture (bronze, silver, gold) built on Apache Doris, design and maintain streaming and batch data pipelines on AWS, and build the SDK that makes our data accessible to the rest of the engineering organization.
Key Responsibilities
Database & Schema Ownership
  • Own the Apache Doris datalake schema, including table design, partitioning strategy, and materialized view lifecycle across bronze, silver, and gold layers.
  • Design and optimize materialized views for incremental refresh, managing partition alignment, trigger tables, and refresh performance.
  • Manage database schema evolution, writing and applying migrations to maintain consistency across environments.
  • Maintain schema documentation to ensure clarity and alignment across teams.
Data Pipelines
  • Design, build, and maintain data pipelines that ingest data from multiple sources into the datalake.
  • Build and maintain pipeline infrastructure on AWS (S3, Lambda, MSK/Kafka, Secrets Manager).
  • Develop pipeline components in TypeScript depending on the service context.
KPI & Analytics
  • Own the KPI calculation layer - session success rates, visit metrics, daily operational dashboards, and waterfall analyses.
  • Monitor and validate KPI accuracy, investigating discrepancies and ensuring alignment between raw data and reported metrics.
  • Partner with operations and business stakeholders to translate business questions into reliable, automated data products.
Requirements
  • Bachelor's degree in Computer Science, Data Engineering, or equivalent practical experience, with a minimum of 5 years in data engineering or data platform roles.
  • SQL & Data Warehousing: Expert-level SQL skills and deep experience with analytical databases or data warehouse technologies. Strong understanding of partitioning, materialized views, and query optimization.
  • Data Architecture: Proven experience designing and operating a medallion or layered data architecture scale.
  • Programming Languages: Proficient in at least one language from our tech stack: Python, TypeScript, or Kotlin.
  • AWS: Hands-on experience with core data services - S3, Lambda, Secrets Manager, and managed Kafka (MSK) or equivalent streaming platforms.
  • Apache Kafka: Experience building and maintaining streaming data pipelines, including schema management and consumer/producer patterns.
  • Git & CI/CD: Comfortable with Git workflows, automated linting/testing, and continuous delivery practices.
  • Strong analytical and problem-solving skills with the ability to debug complex data quality issues across multiple systems.
  • Excellent communication skills - able to explain data architecture decisions to both technical and non-technical stakeholders.
Nice to Have
  • Experience with Apache Doris specifically, or similar databases.
  • Knowledge of the EV charging industry, including protocols such as OCPP, ISO 15118, or OCPI.
  • Experience with containerization and orchestration (Docker, Kubernetes, Helm).
  • Familiarity with dashboarding/BI tools and building data products for business users (Superset, PowerBI).
  • Experience with data pipeline orchestration frameworks (Airflow, Step Functions, or similar).

IONNA is committed to fair and equitable compensation practices through a competitive base salary, as well as offering bonus programs, comprehensive benefits such as medical, dental, vision, life, 401(K), and paid holidays. Actual base salaries are based on several factors unique to each candidate, including but not limited to skill set, experience, certifications, and specific work location.
We are committed to an inclusive and diverse team. IONNA is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status, or any legally protected status.

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