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Data Engineer Jobs in Apex, NC (NOW HIRING)

Sennos

Data Engineer

Durham, NC · On-site

$110K - $132K/yr

Position Summary The Data Engineer sits within the Data & Analytics organization and supports the development and ongoing improvement of Sennos' modern data platform. This role focuses on building ...

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 ...

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

$107K - $128K/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 ...

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 ...

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 ...

Kimley-Horn

Data Engineer

Raleigh, NC

$111K - $133K/yr

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 while ...

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 ...

Kimley-Horn

Data Engineer

Raleigh, NC · On-site

$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 ...

Kimley-Horn

Data Engineer

Raleigh, NC · On-site

$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 ...

First Citizens Bank

Lead Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

We are seeking an experienced Lead Data Engineer to join our Data Platform Engineering Organization and lead the design, development, and modernization of enterprise data platforms that power ...

First Citizens Bank

Lead Data Engineer

Raleigh, NC · Remote

$111K - $133K/yr

We are seeking an experienced Lead Data Engineer to join our Data Platform Engineering Organization and lead the design, development, and modernization of enterprise data platforms that power ...

First Citizens Bank

Lead Data Engineer

Raleigh, NC · Remote

$111K - $133K/yr

We are seeking an experienced Lead Data Engineer to join our Data Platform Engineering Organization and lead the design, development, and modernization of enterprise data platforms that power ...

First Citizens Bank

Data Engineer II

Raleigh, NC · On-site

$111K - $133K/yr

We are seeking a motivated Data Engineer II to join our Data Platform Engineering Organization and help build scalable cloud-based data solutions that enable analytics and data-driven decision-making ...

First Citizens Bank

Data Engineer II

Raleigh, NC · On-site +1

$111K - $133K/yr

We are seeking a motivated Data Engineer II to join our Data Platform Engineering Organization and help build scalable cloud-based data solutions that enable analytics and data-driven decision-making ...

First Citizens Bank

Data Engineer II

Raleigh, NC · On-site +1

$111K - $133K/yr

We are seeking a motivated Data Engineer II to join our Data Platform Engineering Organization and help build scalable cloud-based data solutions that enable analytics and data-driven decision-making ...

Envestnet, Inc.

Lead Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

The Data Engineer will serve as a liaison to platform user groups ensuring successful implementation of capabilities on the new platform. The Lead Data Engineer will also take a lead role on ...

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All JobsData Engineer JobsData Engineer Jobs in Apex, NC

Data Engineer information

See Apex, NC salary details

$33.9K

$98.8K

$135.2K

How much do data engineer jobs pay per year?

As of Aug 26, 2026, the average yearly pay for data engineer in Apex, NC is $98,839.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,200.00 and $104,800.00 per year, depending on experience, location, and employer.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

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

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.
More about Data Engineer jobs

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

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

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Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Apex, NC as of August 2026, with employment types broken down into 74% Full Time, 3% Part Time, and 23% Contract. Highlights an 88% In-person, 3% Hybrid, and 9% Remote job distribution, with an average salary of $98,839 per year, or $47.5 per hour.

Data Engineer

Sennos

Durham, NC • On-site

$110K - $132K/yr

Full-time

Re-posted yesterday

Job description

About Sennos
Sennos is rapidly emerging as the global leader in AI-driven sensing, analytics, and control for the Fluid, Fermentation, and Bio-manufacturing industries. With a revolutionary integration of hardware, software, and real-time multi-parametric data, we have quietly built the world's most advanced sensing system and largest AI-powered fermentation data warehouse. By owning the entire stack-from sensing hardware to data infrastructure-we have delivered a breakthrough solution that reveals complex biological and chemical interactions, predicts precision outcomes, and enables next-generation production control.
Sennos is a rapidly growing start-up looking for someone who can quickly adapt to a changing environment and who has the desire to grow with us!
Position Summary
The Data Engineer sits within the Data & Analytics organization and supports the development and ongoing improvement of Sennos' modern data platform. This role focuses on building and maintaining data pipelines, implementing transformations, and contributing to a reliable Snowflake-based warehouse that powers analytics, reporting, machine learning, and product capabilities.
Working closely with senior data engineering leadership, data architecture, analytics engineering, and product teams, this role combines hands-on technical execution with growing exposure to data modeling, quality enforcement, and scalable platform development.
Responsibilities
  • Build and maintain ETL/ELT pipelines using SQL and Python under the guidance of senior data engineering leadership
  • Develop and maintain transformations using dbt or similar tools within a Snowflake-based warehouse
  • Create and optimize datasets and views to support analytics, reporting, machine learning, and product feature development
  • Manage ad hoc data requests with accuracy and efficiency while maintaining data integrity and consistency
  • Implement and maintain data quality checks, validation rules, and testing processes to ensure reliability and trust in warehouse data
  • Support the enforcement of data contracts between source systems and the warehouse
  • Assist in reverse ETL workflows to operationalize warehouse data into downstream systems
  • Contribute to ML data preparation and feature pipeline workflows
  • Collaborate closely with Data Architecture, Analytics Engineering, Product, and Software Engineering teams
  • Contribute to documentation, governance practices, and continuous improvement of data engineering standards

Required Qualifications
Education:
  • Bachelor's degree in Computer Science, Data Science, Engineering, or related field (or equivalent years of professional experience)

Experience:
  • 2-4 years of experience in data engineering or a related data-focused role
  • Experience working with ETL/ELT processes and structured warehouse data
  • Exposure to cloud-based data platforms (AWS preferred)

Skills:
  • Strong SQL skills (joins, window functions, and query optimization fundamentals)
  • Proficiency in Python for data processing, scripting, or automation
  • Familiarity with version control systems (e.g., Git)
  • Strong attention to detail and commitment to data accuracy
  • Ability to troubleshoot and debug data workflows effectively
  • Strong written and verbal communication skills
  • Ability to collaborate across technical and non-technical teams

Preferred Qualifications
  • Experience working with Snowflake or similar cloud data warehouses
  • Exposure to dbt or similar transformation frameworks
  • Introductory experience with dimensional modeling concepts
  • Experience implementing data quality tests or validation frameworks
  • Exposure to data contracts or schema management practices
  • Familiarity with reverse ETL concepts
  • Passing experience with workflow orchestration tools (e.g., Airflow, Dagster, or similar)
  • Familiarity with CI/CD practices for data workflows
  • Experience using AI-assisted tools to support debugging, pipeline development, or data engineering workflows
  • Exposure to BI tools (e.g., Power BI, Tableau, Looker)

Team Working Style
  • Collaborative and supportive, with strong mentorship from senior data engineering leadership
  • Focused on building durable foundations while moving quickly to meet evolving needs
  • Values curiosity, precision, and continuous skill development

Physical Requirements and Work Environment
  • Ability to sit for extended periods while working at a computer
  • Office setting with remote/hybrid flexibility
  • Minimal travel required (occasional team meetings or company events)

This job description is intended to convey information essential to understanding the scope of the position and is not an exhaustive list of skills, efforts, duties, responsibilities, or working conditions associated with it. Responsibilities may change according to business needs.
Our company is currently active in 17 states (AZ, GA, ID, IL, FL, MA, ME, MI, MO, NC, NY, PA, TN, TX, OR, VA, and WA), and we prefer candidates located in one of these states for remote positions.
Equal Opportunity Statement
Sennos is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
Please Note
Applicants must be permanently authorized to work for ANY employer in the United States. We are unable to sponsor or take over sponsorship of an employment visa at this time.
Recruitment Agency Notice:
We do not accept unsolicited candidate submissions. We only work with recruitment agencies that have a signed agreement with our HR team. Unsolicited resumes will not incur any fee obligation.

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