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Data Jobs in Graham, NC (NOW HIRING)

BioAgilytix

Data Engineer

Durham, NC

$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 ...

Dlapiper

Data Engineer

Raleigh, NC

$111K - $133K/yr

Summary The Data Engineer, Solutions & Data role designs, builds, and operates data pipelines and data integration processes that translate raw data into trusted, usable datasets for analytics ...

GEI Consultants

Data Engineer

Cary, NC · On-site

$90K - $150K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI's AI solutions and digital initiatives. This role focuses on ensuring ...

GEI Consultants

Data Engineer

Cary, NC · On-site

$106K - $127K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI's AI solutions and digital initiatives. This role focuses on ensuring ...

Kimley-Horn

Data Engineer

Raleigh, NC

$111K - $133K/yr

Overview We are seeking a Data Engineer to join our growing Data & Analytics team. This role is responsible for designing, developing, and maintaining data pipelines and enterprise data solutions ...

Kanak Elite Services Inc

Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

Data Engineer Location : Raleigh, NC Onsite (Must be local) Duration : 12+ Months Description We have some urgent requirements with at least 5 years' experience as Data Engineer for the development ...

Well

Data Engineer

Chapel Hill, NC · On-site

$115K - $145K/yr

Data Engineer Reporting To: Manager, Data Engineering Location: Chapel Hill, NC; Minneapolis, MN; Boston, MA (Newton); New York, NY; Remote in approved locations Salary: This role can be hired for at ...

Collabera

Data Analyst

Durham, NC

Data Analyst Minimum Requirements: Proficient in Microsoft Office applications; Outlook, Excel, PowerPoint, OneNote, including running pivot tables, reports Ability to priority tasks as escalations ...

NetApp

Data Governance Lead

Morrisville, NC · On-site

I. use cases, data platforms, and enterprise processes. The successful candidate will build strong partnerships, guide a distributed stewardship community, and continuously improve the quality ...

New

NetApp, Inc.

Data Product Architect

Morrisville, NC · On-site

$59.75 - $76.75/hr

Job Summary NetApp seeks a dynamic and innovative Data Product Architect to join our Enterprise Data & Analytics team. In this position, you will convert raw data into actionable insights that ...

Town of Chapel Hill

HOUSING DATA ANALYST

Chapel Hill, NC · On-site

$67K - $88K/yr

This position will support HCD leadership by providing high-quality data analysis to support data informed decisions and to communicate data on affordable housing needs, successes, and key ...

Pwc

Data Strategy-Manager

Raleigh, NC · On-site

$99K - $232K/yr

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data ...

Pwc

Data Governance- Manager

Raleigh, NC · On-site

$99K - $232K/yr

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data ...

NetApp

Data Product Architect

Morrisville, NC · Hybrid

$59.75 - $76.75/hr

Job Summary NetApp seeks a dynamic and innovative Data Product Architect to join our Enterprise Data & Analytics team. In this position, you will convert raw data into actionable insights that ...

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Showing results 21-40

All JobsData JobsData Jobs in Graham, NC

Data information

See Graham, NC salary details

$37K

$132.6K

$195.7K

How much do data jobs pay per year?

As of Aug 22, 2026, the average yearly pay for data in Graham, NC is $132,628.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,300.00 and $136,600.00 per year, depending on experience, location, and employer.

What are different jobs that work with data?

Many different jobs require you to work with data. Occupational health and safety engineers, for instance, assess safety data collected by technicians and specialists and then design new processes to mitigate observed risks. Many careers in medical research, such as running clinical trials or developing new pharmaceuticals, require data collection and analysis. A large number of government labor and economic forecasting positions employ statisticians who analyze and model data based on surveys or raw information, such as the census or employment records.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is often required, and certifications in these tools can be advantageous. Attention to detail, critical thinking, and effective communication skills help analysts interpret data accurately and present actionable insights to stakeholders. These skills are crucial for transforming raw data into meaningful information that drives informed business decisions.

How does a data analyst typically collaborate with other departments within an organization?

Data Analysts frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and product development. They gather requirements from stakeholders, interpret data to provide actionable insights, and often present findings in meetings or reports tailored to the audience's needs. Effective communication is key, as analysts must translate complex data into clear, impactful recommendations that guide business decisions. This collaborative environment fosters both learning and professional growth, as Data Analysts gain exposure to various business functions.

What is the difference between Data vs Data Analyst?

AspectDataData Analyst
Required CredentialsTypically a degree in computer science, information technology, or related fieldsSame as Data, often requiring a degree in statistics, data science, or related areas
Work EnvironmentData professionals work in IT, data engineering, or database management settingsData analysts work in business, finance, marketing, and similar industries analyzing data for insights
Employer & Industry UsageUsed across tech, finance, healthcare, and more for data management and infrastructureCommonly employed in business sectors to interpret data and support decision-making

Data professionals focus on managing, storing, and processing data, while Data Analysts interpret and analyze data to generate insights. Both roles require similar educational backgrounds but differ in their primary functions within organizations.

What are careers in data?

Careers in data include roles such as data analyst, data scientist, data engineer, and database administrator. These jobs involve collecting, analyzing, and managing data using tools like SQL, Python, and data visualization software, often requiring strong analytical skills and knowledge of data management principles.

What data jobs are there?

Data jobs include roles such as data analyst, data scientist, data engineer, and database administrator. These positions typically require skills in programming, statistics, and data management tools like SQL, Python, or R, and may involve working with large datasets, data visualization, and machine learning techniques.
More about Data jobs

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

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

What job categories do people searching Data jobs in Graham, NC look for?

The top searched job categories for Data jobs in Graham, NC are:

What cities near Graham, NC are hiring for Data jobs?

Cities near Graham, NC with the most Data job openings:

Data jobs near you
Infographic showing various Data job openings in Graham, NC as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $132,628 per year, or $63.8 per hour.

Data Engineer

BioAgilytix

Durham, NC

$110K - $132K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago

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 | 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.
 
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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.
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