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

First Citizens Bank

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 ...

HonorVet Technologies

Senior Data Engineer

Raleigh, NC · On-site

$103K - $140K/yr

Senior Data Engineer Duration: 6 months Location: 301 N. Wilmington St, Raleigh, NC( Hybrid ) Job Summary We are seeking a skilled mid-level+ Data Engineer to join our team and focus on quality ...

First Citizens Bank

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 ...

First Citizens Bank

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 ...

UnitedHealth Group

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 ...

Kobie Marketing

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 ...

UnitedHealth Group

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 ...

Kobie Marketing

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 ...

INUIX Consulting

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. • ...

Surescripts

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 ...

GRAIL

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 ...

GRAIL

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 ...

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Showing results 1-20

All JobsData Engineer JobsSenior Data Engineer JobsSenior Data Engineer Jobs in Raleigh, NC

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 2, 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 are Senior Data Engineers?

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 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 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 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:
Senior Data Engineer jobs near you
Infographic showing various Senior Data Engineer job openings in Raleigh, NC as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $122,801 per year, or $59 per hour.

Senior Data Engineer

Tata Consultancy Service Limited

Raleigh, NC • On-site

$100K - $120K/yr

Full-time

Posted 4 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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