1

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

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 ...

JOB SUMMARY As a Senior Data Scientist 5, you will join a team of other talented Data Scientists and Machine Learning Engineers - with a goal to convert as a true Lead. For the contract duration, you ...

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 ...

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 ...

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 ...

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 ...

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 ...

Senior Data Architect

Raleigh, NC · On-site

$65.25 - $87.50/hr

The Senior Data Architect is expected to operate from strategy through implementation, partnering with engineering teams to design scalable solutions while actively participating in architecture ...

New

Senior Data Architect

Raleigh, NC

$65.25 - $87.50/hr

The Senior Data Architect is expected to operate from strategy through implementation, partnering with engineering teams to design scalable solutions while actively participating in architecture ...

New

Senior Data Architect

Raleigh, NC

$65.25 - $87.50/hr

The Senior Data Architect is expected to operate from strategy through implementation, partnering with engineering teams to design scalable solutions while actively participating in architecture ...

New

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 ...

Showing results 21-40

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 9, 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 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 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 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 August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,794 per year, or $59 per hour.

Senior Data Engineer - Power BI

Fidelity Investments

Durham, NC • On-site

$102K - $139K/yr

Full-time

Re-posted 4 days ago


Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 271 frontline employees who took The Breakroom Quiz

15th of 150 rated financial services


Job description


Note: Fidelity will not provide immigration sponsorship for this position.
The Role
The Cyber Data Analytics chapter within the Enterprise Cybersecurity organization is seeking a Senior Data Engineer to join our team. You will be at the forefront of fortifying data protection product areas by building scalable data solutions, including complex data pipelines, migrations, and sophisticated data modeling. Our team serves as a proactive shield against cyber threats, supporting multiple executive leaders with high-impact analytics for decision-making.
The Expertise You Have and The Skills You Bring
  • Bachelor's or Master's degree in computer science, Engineering, or a related technical field.
  • 7+ years of relevant work experience in data engineering or architecture.
  • Strong SQL skills and knowledge of multiple RDBMS, specifically Snowflake (including SnowSQL), Postgres, SQL Server, and Oracle.
  • Proven experience building data pipelines using Python, with NiFi and dbt knowledge being a significant advantage.
  • Experience in building Power BI Reports that transform data into aesthetically appealing visuals.
  • Hands-on knowledge of AWS infrastructure, including S3, EC2, RDS, EKS, Batch, and CloudFormation.
  • Deep understanding of data modeling principles, specifically 3NF and Star Schema models.
  • Experience with CI/CD workflows using Jenkins and GitHub for automated deployment.
  • Familiarity with workload scheduling and orchestration tools like Control-M.
  • Proven data analysis skills to ensure data quality such as accuracy, consistency, and completeness and to identify gaps and anomalies.
  • Ability to work independently in an Agile environment (Scrum and Kanban) brings technical stories to completion.
  • Excellent communication and presentation skills
  • Design and build scalable data solutions, including data processing pipelines, migrations, and complex data modeling.
  • Identify new development opportunities within a scalable public Cloud environment to enhance organizational capability.
  • Collaborate with product owners and business partners to translate high-level requirements into actionable technical tasks.
  • Analyze and manipulate datasets to ensure rigorous data integrity, accessibility, and security throughout the entire lifecycle.
  • Serve as a technical mentor and thought leader, providing guidance and innovative solutions to the broader team.
  • Integrate automated testing and continuous validation into the sprint cycle to ensure production reliability.
  • Develop end-to-end solutions using distributed platform design patterns and modern analytics technologies.
  • Support and enhance production systems, focusing on high performance, speed, and overall system reliability.

The Team
Our Cyber Data Analytics Squad is at the forefront of enterprise cybersecurity, dedicated to providing brand new data analytics solutions. We are part of the Enterprise Cyber Security organization. Our team boasts a diverse range of skills, including data scientists, analysts, engineers, and cybersecurity experts. Together, we build a dynamic environment that fosters innovation and problem-solving, envisioning a future where our analytics solutions serve as a proactive shield against cyber threats.
Fidelity's Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.
Certifications:
Category:
Information Technology
Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

What Fidelity Investments employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom