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

Senior Data Engineer

Raleigh, NC ยท On-site

$103K - $140K/yr

Hiring Alert | Senior Data Engineer Location: Raleigh, NC / Phoenix, AZ / Dallas, TX (Onsite) Employment Type: Full-Time Experience Required: 6-10 Years Visa Type: USC / GC Only Must-Have Skills:

Senior Data Engineer

Raleigh, NC ยท 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 ยท 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 ยท 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 ยท On-site +1

$103K - $140K/yr

The Senior Data Engineer is responsible for designing, developing, enhancing, and supporting enterprise applications that enable Financial Model Execution Platforms and related business capabilities ...

Senior Data Engineer

Raleigh, NC ยท On-site +1

$103K - $140K/yr

The Senior Data Engineer is responsible for designing, developing, enhancing, and supporting enterprise applications that enable Financial Model Execution Platforms and related business capabilities ...

Senior Data Engineer

Raleigh, NC ยท On-site

$103K - $140K/yr

The Senior Data Engineer is responsible for designing, developing, enhancing, and supporting enterprise applications that enable Financial Model Execution Platforms and related business capabilities ...

Senior Data Engineer #4885

Durham, NC ยท 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 #4885

Durham, NC ยท 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

Raleigh, NC ยท Remote

$91K - $163K/yr

Use enterprise-approved AI toolsto automate data engineering workflows, streamline ETL maintenance, and drive continuous improvement in engineering velocity * Implement advanced data ...

Senior Data Engineer

Raleigh, NC ยท Remote

$103K - $140K/yr

... data science and engineering teams. * Design and deploy intelligent retrieval architecture and AI-driven workflows using vector-based search methods and enterprise data platforms, building marketing ...

Senior Data Scientist

Durham, NC ยท On-site

$90 - $120/hr

The role is a technical peer to the Lead Data Engineer and provides succession depth for senior data science work.***This is a hybrid position located in Durham, NC, with the expectation of regular ...

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Showing results 1-20

Senior Data Engineer information

See Raleigh, NC salary details

$78.7K

$122.8K

$170.1K

How much do senior data engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for senior 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 a senior data engineer?

Senior Data Engineers are experienced professionals who design, build, and maintain large-scale data processing systems and infrastructure. They are responsible for developing data pipelines, managing databases, and ensuring the efficient flow and integrity of data across various platforms. Senior Data Engineers often collaborate with data scientists, analysts, and other engineers to support business intelligence and machine learning projects. They also play a key role in implementing best practices for data security, quality, and governance within an organization.

What are some common challenges senior data engineers face when integrating data from multiple sources?

Senior Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Addressing these issues requires designing robust ETL (Extract, Transform, Load) pipelines, implementing data validation checks, and collaborating closely with source system owners to ensure data integrity. Effective communication with cross-functional teams and leveraging scalable data integration tools are also essential to streamline the process and minimize errors.

What are the key skills and qualifications needed to thrive as a senior data engineer, and why are they important?

To thrive as a Senior Data Engineer, you need strong expertise in data modeling, ETL development, programming (such as Python or Scala), and a degree in computer science or a related field. Proficiency with big data technologies (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and database systems, as well as relevant certifications, is highly valuable. Excellent problem-solving, communication, and leadership skills help you collaborate across teams and mentor junior engineers. These skills and qualities ensure robust, scalable data solutions that support organizational decision-making and growth.

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

AspectSenior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with data pipelinesBachelor's/Master's in CS, Statistics, or related; proficiency in statistical analysis and modeling
Work EnvironmentBuild and maintain data infrastructure, optimize data workflowsAnalyze data, develop predictive models, generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data engineering is essentialResearch, marketing, tech firms focusing on data analysis and modeling

While both roles work with data, Senior Data Engineers focus on developing and maintaining data infrastructure, whereas Data Scientists analyze data to generate insights and build models. They often collaborate but have distinct skill sets and responsibilities.

What do senior data engineers do?

Senior data engineers design, build, and maintain large-scale data pipelines and infrastructure to support data collection, storage, and analysis. They often work with tools like SQL, Spark, and cloud platforms, and may lead data team projects while ensuring data quality and security.

What are the most commonly searched types of Data Engineer jobs in Raleigh, NC?

The most popular types of Data Engineer jobs in Raleigh, NC are:

What are popular job titles related to Senior Data Engineer jobs in Raleigh, NC?

For Senior Data Engineer jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Senior Data Engineer jobs in Raleigh, NC look for?

The top searched job categories for Senior Data Engineer jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Senior Data Engineer jobs?

Cities near Raleigh, NC with the most Senior Data Engineer job openings:

Infographic showing various Senior Data Engineer job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% 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 25 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
โ€ข Design and implement scalable, resilient data pipelines using Snowflake features including Snowpipe, Tasks, Streams, Dynamic Tables, and advanced SQL.
โ€ข Build and maintain DBT models with strong testing, documentation, and lineage.
โ€ข Develop Python ingestion frameworks for files and APIs, including schema validation, retries, and metadata capture.
โ€ข Engineer ingestion for CSV, fixed width multi record layouts, JSON, XML, Excel, and semi structured formats.
โ€ข Design Mainframe VSAM data ingestion pattern for complex EBCDIC data formats.
Schema Drift & Schema Evolution
โ€ข Detect, analyze, and manage schema drift across file, API, and replicated database sources.
โ€ข Implement metadata driven schema evolution strategies to ensure downstream stability.
โ€ข Coordinate schema changes through controlled CI/CD workflows.
Database Replication & CDC
โ€ข Configure and manage Qlik Replicate tasks for CDC and full load replication from Oracle, SQL Server, and DB2.
โ€ข Ensure idempotent, auditable, and recoverable replication pipelines with strong monitoring and reconciliation.
Data Governance, Security & Tokenization
โ€ข Implement and maintain Snowflake Data Masking policies, including dynamic masking, conditional masking, and role based masking rules.
โ€ข Apply Protegrity tokenization for sensitive data fields across ingestion and transformation layers.
โ€ข Enforce RBAC, data access controls, and governance standards across Snowflake and supporting systems.
Orchestration & Automation
โ€ข Build and schedule workflows using Astronomer Airflow, ensuring dependency management, retries, SLAs, and observability.
โ€ข Integrate pipelines with enterprise DevOps processes using GitLab and Azure DevOps for CI/CD automation.
Version Control & Code Quality
โ€ข Manage code repositories using GitLab, including branching strategies, merge requests, code reviews, and approvals.
Monitoring, Alerting & Performance Optimization
โ€ข Implement monitoring and alerting for ingestion pipelines, schema drift, replication, and transformation workloads.
โ€ข Optimize Snowflake compute, storage, and query performance; scale ingestion pipelines to meet evolving data volume and latency requirements.
Required Skills & Experience:
โ€ข 8+ years of hands on data engineering experience.
โ€ข Deep expertise with Snowflake, including data masking policies, RBAC, performance tuning, and advanced SQL.
โ€ข Strong experience with Qlik Replicate for CDC and database replication.
โ€ข Excellent proficiency in Python and Pyspark for ingestion frameworks and automation.
โ€ข Hands on experience with DBT Cloud and Astronomer Airflow.
โ€ข Experience with schema drift detection and schema evolution patterns.
โ€ข Experience with GitLab and CI/CD pipelines.
โ€ข Familiarity with Protegrity or similar data protection platforms.
Salary Range- $100,000-$120,000 a year
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