ZipRecruiter

Log In

1

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

BioAgilytix

Data Engineer

Durham, NC · On-site

$110K - $132K/yr

The Data Engineer is a hands-on technical lead responsible for designing, building, and supporting BioAgilytix's Enterprise Data Platform. This role develops scalable, validated, production-ready ...

BioAgilytix

Data Engineer

Durham, NC · On-site

$110K - $132K/yr

The Data Engineer is a hands-on technical lead responsible for designing, building, and supporting BioAgilytix's Enterprise Data Platform. This role develops scalable, validated, production-ready ...

BioAgilytix

Data Engineer

Durham, NC · On-site

$110K - $132K/yr

The Data Engineer is a hands-on technical lead responsible for designing, building, and supporting BioAgilytix's Enterprise Data Platform. This role develops scalable, validated, production-ready ...

BioAgilytix Labs, LLC

Data Engineer

Durham, NC · On-site

$125 - $150/hr

The Data Engineer is a hands-on technical lead responsible for designing, building, and supporting BioAgilytix's Enterprise Data Platform. This role develops scalable, validated, production-ready ...

LexisNexis Risk Solutions

Lead Data Scientist

Raleigh, NC · On-site

$125 - $150/hr

## Lead Data ScientistApplylocations: Raleigh, NCtime type: Full timeposted on: Posted Yesterdayjob ... Working closely with other data scientists and engineers to design, develop, and deploy AI ...

Deloitte

Data Engineer

Raleigh, NC

$111K - $133K/yr

As an experienced Data Engineer you will have the ability to share new ideas and collaborate on ... Independently and collaboratively lead client engagement workstreams focused on improvement ...

LexisNexis

Lead Data Scientist

Raleigh, NC · On-site

$104K - $174K/yr

As a Lead you will support the development and training of junior members and develop best ... Working closely with other data scientists and engineers to design, develop, and deploy AI ...

LexisNexis

Lead Data Scientist

Raleigh, NC · On-site

$104K - $174K/yr

As a Lead you will support the development and training of junior members and develop best ... Working closely with other data scientists and engineers to design, develop, and deploy AI ...

RELX Group plc

Lead Data Scientist

Raleigh, NC · On-site

$104K - $174K/yr

As a Lead you will support the development and training of junior members and develop best ... Working closely with other data scientists and engineers to design, develop, and deploy AI ...

RELX

Lead Data Scientist

Raleigh, NC · On-site

$104K - $174K/yr

As a Lead you will support the development and training of junior members and develop best ... Working closely with other data scientists and engineers to design, develop, and deploy AI ...

LexisNexis

Lead Data Scientist

Raleigh, NC

$104K - $174K/yr

As a Lead you will support the development and training of junior members and develop best ... Working closely with other data scientists and engineers to design, develop, and deploy AI ...

Pwc

Data Engineer - Senior Manager

Raleigh, NC · On-site

$124K - $280K/yr

As a Senior Manager you lead large projects, innovate processes, and maintain operational ... Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

Archgroup

Manager, Data Engineer (Remote)

Raleigh, NC · Remote

$100K - $174K/yr

Lead delivery of high-quality data solutions by partnering with stakeholders and coachingdataengineers. * Own end-to-end data engineering delivery across the project lifecycle. * Build strong ...

Archgroup

Manager, Data Engineer (Remote)

Raleigh, NC · Remote

$100K - $174K/yr

Lead delivery of high-quality data solutions by partnering with stakeholders and coachingdataengineers. * Own end-to-end data engineering delivery across the project lifecycle. * Build strong ...

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 ... Lead the development of data strategy aligned with business objectives. Evaluate and integrate new ...

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 ... Lead the development of data strategy aligned with business objectives. Evaluate and integrate new ...

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 ... Lead the development of data strategy aligned with business objectives. Evaluate and integrate new ...

previous pagenext page

Showing results 21-40

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

Lead Data Engineer information

See Raleigh, NC salary details

$41.3K

$120.3K

$175.5K

How much do lead data engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for lead data engineer in Raleigh, NC is $120,329.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,600.00 and $131,200.00 per year, depending on experience, location, and employer.

What is a lead data engineer?

Lead Data Engineers are senior professionals responsible for designing, building, and managing large-scale data systems and architectures within an organization. They oversee data engineering teams, set technical standards, and ensure efficient data flow and storage. Their role involves collaborating with data scientists, analysts, and other stakeholders to deliver reliable data solutions that support business goals. Lead Data Engineers also mentor junior engineers and help define best practices and strategies for data management.

What are the key skills and qualifications needed to thrive as a lead data engineer?

To thrive as a Lead Data Engineer, you need advanced expertise in data architecture, database design, and programming languages like Python or Scala, typically supported by a degree in computer science or a related field. Familiarity with big data technologies (e.g., Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and relevant certifications such as Google Professional Data Engineer are highly valued. Strong leadership, problem-solving abilities, and effective communication help drive team performance and translate business needs into technical solutions. These skills ensure robust, scalable data pipelines and successful collaboration across technical and business stakeholders.

How does a lead data engineer typically collaborate with data scientists and other engineering teams?

As a Lead Data Engineer, you play a central role in bridging the gap between raw data and actionable insights. You’ll collaborate closely with data scientists to understand their requirements, ensuring data pipelines deliver clean, reliable datasets for modeling and analysis. Additionally, you’ll work with software engineers and DevOps teams to integrate data solutions into production systems, maintain data infrastructure, and uphold best practices for data governance and security. Effective communication and cross-functional teamwork are key aspects of this role.

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

AspectLead Data EngineerData Engineer
CredentialsBachelor's/Master's in CS, Data Science, or related; often certifications in cloud platforms or data toolsBachelor's in CS, Data Science, or related; similar certifications
Work EnvironmentLeads data projects, mentors teams, designs architectureBuilds data pipelines, maintains databases, implements data solutions
Industry UsageUsed in organizations with complex data needs, overseeing data teamsCommon in companies handling large-scale data processing

The main difference is that Lead Data Engineers oversee data projects and teams, focusing on architecture and strategy, while Data Engineers focus on building and maintaining data pipelines. Both roles require similar skills and certifications, but the Lead Data Engineer has additional leadership responsibilities.

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

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

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

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

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

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

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

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

Lead Data Engineer jobs near you
Infographic showing various Lead Data Engineer job openings in Raleigh, NC as of September 2026, with employment types broken down into 82% Full Time, 4% Part Time, and 14% Contract. Highlights an 80% In-person, 2% Hybrid, and 18% Remote job distribution, with an average salary of $120,329 per year, or $57.9 per hour.

Data Engineer

Durham, NC • On-site

BioAgilytix
Biotechnology Research and Development • 501 - 1,000 employees
Learn more about BioAgilytixexternal

$110K - $132K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago

Key responsibilities

  • Design, develop, and support scalable enterprise data platforms that enable trusted, governed, and high-quality data products for analytics, scientific operations, sponsor reporting, regulatory compliance, and AI initiatives.

  • Build and maintain production-grade ELT pipelines that integrate data from laboratory information systems (LIMS), ERP, CRM, APIs, sponsor systems, cloud applications, and other enterprise data sources.

  • Develop validated, traceable, and auditable data pipelines supporting regulated laboratory operations, sponsor deliverables, and enterprise reporting while ensuring data integrity, reproducibility, lineage, and compliance with GxP, GLP, HIPAA, 21 CFR Part 11, and enterprise data governance standards.

Job description

At BioAgilytix, we are passionate about premier science and the impact it has on our world. Our team of highly experienced scientists and professionals deliver tailored services for supporting new medicine breakthroughs with best-in-class bioanalytical services. We are tirelessly committed to our customers by being solution-oriented and deadline-driven. . . and we are growing. Our culture is fast-paced, fun and never boring. Because we work across numerous clients and drug modalities, your career can develop rapidly. You’ll gain experience with a variety of challenges all while you enable life-changing, life-saving therapeutics to the patients who need them.

The Data Engineer is a hands-on technical lead responsible for designing, building, and supporting BioAgilytix's Enterprise Data Platform. This role develops scalable, validated, production-ready data pipelines, enterprise data models, and certified data products supporting laboratory operations, scientific analytics, sponsor reporting, regulatory compliance, and AI initiatives.
Working under the direction of  the Data Management Lead, and collaborating with cross-functional stakeholders, this role implements modern data engineering practices including Snowflake, dbt, dimensional modeling, semantic modeling,  CI/CD automation, DataOps and enterprise data governance standards.
Essential Responsibilities
  • Design, develop, and support scalable enterprise data platforms that enable trusted, governed, and high-quality data products for analytics, scientific operations, sponsor reporting, regulatory compliance, and AI initiatives.
  • Build and maintain production-grade ELT pipelines that integrate data from laboratory information systems (LIMS), ERP, CRM, APIs, sponsor systems, cloud applications, and other enterprise data sources.
  • Develop modular, reusable data transformation frameworks using modern ELT practices, including automated testing, documentation, lineage, version control, and deployment automation.
  • Develop and implement dimensional data models, semantic models and governed datasets based on the established enterprise  business definitions across the organization.
  • Develop validated, traceable, and auditable data pipelines supporting regulated laboratory operations, sponsor deliverables, and enterprise reporting while ensuring data integrity, reproducibility, lineage, and compliance with GxP, GLP, HIPAA, 21 CFR Part 11, and enterprise data governance standards.
  • Implement automated data validation, reconciliation, data quality controls, audit logging, monitoring, observability, and operational alerting to ensure reliable and trusted enterprise data.
  • Optimize the performance, scalability, security, governance, and operational efficiency of the enterprise data platform.
  • Provide operational support for the enterprise data platform through production monitoring, incident resolution, root cause analysis, and continuous reliability improvements.
  • Support sponsor-facing data delivery by building automated data harmonization, transformation, validation, lineage, and regulatory reporting processes.
  • Develop certified, governed, and AI-ready data products that support enterprise analytics, machine learning, semantic search, and generative AI initiatives.
  • Collaborate with Laboratory Operations, Quality teams, Information Technology, and business stakeholders to deliver scalable, reusable, and governed enterprise data solutions.
Additional Responsibilities
  • Other duties as needed
Minimum Preferred Qualifications: Education/Experience
  • Bachelor’s degree in computer science, Information Systems, Engineering, Mathematics, Data Science, or related field; Master's preferred.
  • 5+ years of experience in Data Engineering, Data Management, Software Engineering, Business Intelligence, or related technical disciplines, preferably within life sciences, biotechnology, pharmaceuticals, CROs, healthcare, or other regulated industries.
  • 3+ years of hands-on experience designing, developing, and supporting enterprise-scale data engineering solutions in production environments.
  • 3+ years of hands-on experience architecting, developing, and administering enterprise solutions using Snowflake as a primary cloud data platform, including performance optimization, security, governance, workload management, and operational support.
Minimum Preferred Qualifications: Skills
  • Strong hands-on experience with dbt Cloud or dbt Core for modular data transformation, automated testing, documentation, lineage, and deployment.
  • Demonstrated expertise in enterprise dimensional data modeling, including star schemas, conformed dimensions, slowly changing dimensions, snapshot fact tables, and analytical data warehouse design.
  • Experience designing semantic models, enterprise business vocabularies, ontology-driven data products, or knowledge graph concepts that enable consistent business definitions across enterprise analytics.
  • Strong proficiency in SQL and Python for enterprise data engineering, automation, data transformation, and performance optimization.
  • Experience developing enterprise data integration solutions using ETL/ELT platforms such as Talend, Fivetran, or equivalent technologies.
  • Experience integrating enterprise applications using REST APIs, GraphQL APIs, file-based interfaces, Change Data Capture (CDC), and event-driven messaging platforms.
  • Experience with a cloud platform including AWS (S3, Lambda, ECS, Glue) and/or Azure.
  • Experience designing, developing, validating, and maintaining certified enterprise data products with documented business definitions, transformation logic, lineage, ownership, and lifecycle management.
  • Experience implementing least-privilege security, role-based access control (RBAC), data masking, row-level security, encryption, secrets management, and secure data sharing.
  • Experience supporting enterprise production data platforms, including incident management, root cause analysis, operational monitoring, performance tuning, release management, and platform reliability engineering.
  • Experience working with Laboratory Information Management Systems, bioanalytical data, sponsor deliverables, and regulated laboratory environments is strongly preferred.
  • Expert proficiency in SQL and Python.
  • Snowflake architecture including Snowpark, Dynamic Tables, Streams, Tasks, data sharing, security, governance, workload management, and performance tuning.
  • dbt Cloud/Core including models, snapshots, macros, tests, semantic models, documentation, lineage, and deployment automation.
  • Enterprise ETL/ELT frameworks including Fivetran/Talend, APIs, CDC, and event-driven integrations.
  • Enterprise data architecture, metadata-driven architecture, medallion architecture, and modern cloud data platform design patterns.
  • Git, GitHub Actions, CI/CD, Infrastructure-as-Code, and DataOps practices.
  • Automated testing, observability, reconciliation, data quality, lineage, and operational monitoring.
  • Power BI, Sigma, Tableau, and semantic reporting platforms.
  • Ability to independently deliver assigned complex data engineering solutions within established architecture, priorities, procedures, and technical standards.
  • Ability to translate complex scientific, laboratory, and business requirements into scalable enterprise data models, semantic models, and certified data products based on established architectural and business standards.
  • Strong analytical, troubleshooting, and optimization skills. Applies comprehensive data engineering knowledge and advanced analytical techniques to investigate complex issues, identify root causes, evaluate available information, and recommend appropriate solutions.
  • Ability to develop validated, traceable, and auditable data solutions in accordance with established compliance, validation, quality, and scientific data-integrity requirements.
  • Collaborate effectively across Scientific Operations, Quality Engineering, Quality Assurance, and IT, with the ability to communicate clearly with stakeholders at all levels of the organization.
  • Demonstrated ability to work independently on complex data engineering assignments, use professional judgment to adapt established approaches, and escalate decisions affecting enterprise architecture, governance strategy, security policy, compliance strategy, or platform direction.
  • Excellent communication and documentation skills.
  • Able to navigate a fast-paced, evolving data landscape, demonstrating resilience and flexibility in the face of new challenges.
  • Excellent written and spoken English language skills
  • Excellent interpersonal and negotiating skills
  • Strong presentation skills
  • Excellent computer skills
Preferred Credentials
  • Master’s degree 
Supervisory Responsibility:
  • No supervisory responsibilities
Supervision Received
  • Reports to the Data Management Lead and works independently on complex engineering initiatives Infrequent supervision and instructions
  • Frequently exercises discretionary authority
Physical Demands
  • Ability to work in an upright and/or stationary position for up to eight (8) hours per day
  • Repetitive hand movement of both hands with the ability to make fast, simple, repeated movements of the fingers, hands, and wrists to operate office equipment
  • Occasional mobility needed
  • Occasional crouching, stooping, with frequent bending and twisting of upper body and neck
  • Light to moderate lifting and carrying (or otherwise moving) objects, including luggage and laptop computer, with a maximum lift of 20 pounds
  • Ability to access and use a variety of computer software
  • Ability to communicate information and ideas so others will understand, with the ability to listen to and understand information and ideas presented through spoken words and sentences
  • Frequently interacts with others to obtain or relate information to diverse groups
  • Works independently with little guidance or reliance on oral or written instructions and plans work schedules to meet goals; requires multiple periods of intense concentration
  • Performs a wide range of variable tasks as dictated by variable demands and changing conditions with little predictability as to the occurrence
  • Ability to perform under stress and multi-task
  • Regular and consistent attendance
Position Type and Expected Hours of Work
  • This is a full-time position
  • Some flexibility in hours is allowed, but the employee must be available during the “core” work hours as published in the BioAgilytix Employee Handbook
  • Occasional weekend, holiday, and evening work needed
BENEFITS AND OTHER PERKS
Medical Insurance (HDHP with HSA; PPO), Dental Insurance, Vision Insurance, Flexible Spending Account (medical; dependent care), Short Term Disability \u007C Long Term Disability Life Insurance, Paid Time Off (4 weeks per year), Parental Leave, Paid Holidays (9 scheduled; 5 floating), 401k with Employer Match, Employee Referral Program
 
COMMITMENT TO EQUAL OPPORTUNITY
BioAgilytix provides equal employment opportunities to all employees and applicants for employment without regard to race, color, ancestry, national origin, gender, sexual orientation, marital status, religion, age, disability, gender identity, results of genetic testing, service in the military, or any other group protected by federal, state, or local law.
 
To learn more about how we collect, use, and protect your information, please review our Privacy Policy and Terms of Use.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.