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

Senior Data Engineer

Raleigh, NC · Remote

$103K - $140K/yr

We are seeking an experienced Senior Data Engineer to join our Data Platform Engineering Organization and help build scalable cloud-based data solutions that enable analytics and data-driven decision ...

Senior Data Engineer

Raleigh, NC · Remote

$103K - $140K/yr

We are seeking an experienced Senior Data Engineer to join our Data Platform Engineering Organization and help build scalable cloud-based data solutions that enable analytics and data-driven decision ...

Senior Data Engineer

Raleigh, NC · On-site

$103K - $140K/yr

We are seeking an experienced Senior Data Engineer to join our Data Platform Engineering Organization and help build scalable cloud-based data solutions that enable analytics and data-driven decision ...

Senior Data Engineer

Raleigh, NC · On-site

$91K - $163K/yr

Join the Magnus Lake House team within Optum Insight as a Senior Data Engineer. In this role, you will be a key contributor to a high-profile migration project, transitioning our legacy Cornerstone ...

Senior Data Engineer

Raleigh, NC · Hybrid

$91K - $163K/yr

Join the Magnus Lake House team within Optum Insight as a Senior Data Engineer. In this role, you will be a key contributor to a high-profile migration project, transitioning our legacy Cornerstone ...

Sr. Data Engineer

Raleigh, NC · Remote

$108K - $147K/yr

As a Senior Data Engineer, you will be a key technical contributor and operational owner within our data engineering function. You will bring deep Snowflake expertise and strong engineering instincts ...

Sr. Data Engineer

Raleigh, NC · Remote

$103K - $140K/yr

As a Senior Data Engineer, you will be a key technical contributor and operational owner within our data engineering function. You will bring deep Snowflake expertise and strong engineering instincts ...

Senior Data Engineer #4885

Durham, NC · On-site

$102K - $139K/yr

For more information, please visit grail.com As a Senior Data Engineer on the Operational Technology team, you will own the data platform that connects GRAIL's lab instruments, automation systems ...

Senior Data Engineer #4885

Durham, NC · On-site

$102K - $139K/yr

For more information, please visit grail.com As a Senior Data Engineer on the Operational Technology team, you will own the data platform that connects GRAIL's lab instruments, automation systems ...

Senior Data Engineer #4885

Durham, NC

$102K - $139K/yr

For more information, please visit grail.com As a Senior Data Engineer on the Operational Technology team, you will own the data platform that connects GRAIL's lab instruments, automation systems ...

Senior Data Engineer

Raleigh, NC · On-site

$103K - $140K/yr

Required Skills & Experience: • 8+ years of hands on data engineering experience. • Deep expertise with Snowflake, including data masking policies, RBAC, performance tuning, and advanced SQL. • ...

Senior Cloud Data Engineer

Raleigh, NC · On-site

$103K - $140K/yr

The Senior Cloud Data Engineer plays a key role in designing, building, and maintaining data pipelines and infrastructure using Google Cloud Platform (GCP) BigQuery. The incumbent will collaborate ...

Data Engineer - Senior

Raleigh, NC · On-site

$111K - $133K/yr

Data Engineer - Senior Location: Raleigh, North Carolina Interview: Phone/In-Person Duration: Long Term Quality Assurance & Quality Checking: Implement and maintain data quality to ensure the ...

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Showing results 1-20

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 Aug 4, 2026, the average yearly pay for sr data engineer in Raleigh, NC is $122,801.00, 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 is a Sr data engineer?

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 cities near Raleigh, NC are hiring for Sr Data Engineer jobs? Cities near Raleigh, NC with the most Sr Data Engineer job openings:
Infographic showing various Sr Data Engineer job openings in Raleigh, NC as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,801 per year, or $59 per hour.

$100K - $120K/yr

Full-time

Posted 6 days ago


Job description

Senior Data Engineer
We are seeking a highly skilled Senior Data Engineer to architect, build, and optimize enterprise grade data pipelines across cloud, on prem, and hybrid environments. This role requires deep expertise in Qlik Replicate, Snowflake, DBT Cloud, Astronomer Airflow, and Python based ingestion frameworks, with strong engineering discipline around schema governance, DevOps CI/CD, monitoring, and performance optimization. The ideal candidate thrives in complex data ecosystems and brings a strong mindset around automation, metadata driven design, and secure, governed ingestion.
Responsibilities:
Data Pipeline Architecture & Development
• Design and implement scalable, resilient data pipelines using Snowflake features including Snowpipe, Tasks, Streams, Dynamic Tables, and advanced SQL.
• Build and maintain DBT models with strong testing, documentation, and lineage.
• Develop Python ingestion frameworks for files and APIs, including schema validation, retries, and metadata capture.
• Engineer ingestion for CSV, fixed width multi record layouts, JSON, XML, Excel, and semi structured formats.
• Design Mainframe VSAM data ingestion pattern for complex EBCDIC data formats.
Schema Drift & Schema Evolution
• Detect, analyze, and manage schema drift across file, API, and replicated database sources.
• Implement metadata driven schema evolution strategies to ensure downstream stability.
• Coordinate schema changes through controlled CI/CD workflows.
Database Replication & CDC
• Configure and manage Qlik Replicate tasks for CDC and full load replication from Oracle, SQL Server, and DB2.
• Ensure idempotent, auditable, and recoverable replication pipelines with strong monitoring and reconciliation.
Data Governance, Security & Tokenization
• Implement and maintain Snowflake Data Masking policies, including dynamic masking, conditional masking, and role based masking rules.
• Apply Protegrity tokenization for sensitive data fields across ingestion and transformation layers.
• Enforce RBAC, data access controls, and governance standards across Snowflake and supporting systems.
Orchestration & Automation
• Build and schedule workflows using Astronomer Airflow, ensuring dependency management, retries, SLAs, and observability.
• Integrate pipelines with enterprise DevOps processes using GitLab and Azure DevOps for CI/CD automation.
Version Control & Code Quality
• Manage code repositories using GitLab, including branching strategies, merge requests, code reviews, and approvals.
Monitoring, Alerting & Performance Optimization
• Implement monitoring and alerting for ingestion pipelines, schema drift, replication, and transformation workloads.
• Optimize Snowflake compute, storage, and query performance; scale ingestion pipelines to meet evolving data volume and latency requirements.
Required Skills & Experience:
• 8+ years of hands on data engineering experience.
• Deep expertise with Snowflake, including data masking policies, RBAC, performance tuning, and advanced SQL.
• Strong experience with Qlik Replicate for CDC and database replication.
• Excellent proficiency in Python and Pyspark for ingestion frameworks and automation.
• Hands on experience with DBT Cloud and Astronomer Airflow.
• Experience with schema drift detection and schema evolution patterns.
• Experience with GitLab and CI/CD pipelines.
• Familiarity with Protegrity or similar data protection platforms.
Salary Range- $100,000-$120,000 a year
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