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Associate Data Engineer Jobs in Apex, NC (NOW HIRING)

First Citizens Bank

Senior Software Engineer

Raleigh, NC · On-site

$119K - $157K/yr

This role will involve building robust backend services, data integration pipelines, and user ... Analyzes, codes, tests, and implements in coordination with management, associates, and end users.

Deloitte

Forward Deployed Engineer- AWS

Raleigh, NC

... Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50%, on average, based on the work you do and the clients and ...

Damco Solutions

Databricks Data Specialist

Raleigh, NC · On-site

... engineers. Responsibilities : • Conduct comprehensive data analysis, create data mappings ... Associate Certification Company : Damco Solutions is a provider of IT solutions, services, and ...

Pwc

AI Engineer

Raleigh, NC · On-site

$50K - $112K/yr

Within our Internal Firm Services practice, you will apply data, algorithms, and software ... As an Associate, you will focus on learning and contributing to projects while developing your ...

GEI Consultants

AI Engineer

Cary, NC

$110K - $150K/yr

Azure or Databricks certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect Expert, Databricks ML Professional, Databricks Data Engineer Professional) are a plus. We are GEI.

GEI Consultants

AI Engineer

Cary, NC · On-site

Azure or Databricks certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect Expert, Databricks ML Professional, Databricks Data Engineer Professional) are a plus. We are GEI.

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All JobsAssociate Data Engineer JobsAssociate Data Engineer Jobs in Apex, NC

Associate Data Engineer information

See Apex, NC salary details

$7

$14

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How much do associate data engineer jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for associate data engineer in Apex, NC is $14.28, according to ZipRecruiter salary data. Most workers in this role earn between $11.73 and $15.19 per hour, depending on experience, location, and employer.

What does an associate data engineer do?

An Associate Data Engineer is responsible for supporting the development, maintenance, and optimization of data pipelines and databases. They work closely with senior data engineers and other IT professionals to ensure data is accessible, reliable, and efficiently processed for analytics and business use. Typical tasks include writing and testing code for data integration, troubleshooting data issues, and implementing data security best practices. This entry-level position is a foundational role that builds technical skills and experience in data engineering.

What are the key skills and qualifications needed to thrive as an associate data engineer?

To thrive as an Associate Data Engineer, you need a solid understanding of data modeling, SQL, Python, and foundational knowledge of database concepts, often backed by a degree in computer science or a related field. Familiarity with data warehousing tools (like AWS Redshift, Google BigQuery), ETL frameworks, and cloud platforms as well as industry certifications such as AWS Certified Data Analytics is beneficial. Strong problem-solving skills, attention to detail, and effective communication help you navigate complex data challenges and collaborate with teams. These abilities are crucial for ensuring data systems are reliable, scalable, and aligned with organizational goals.

What are some common challenges an associate data engineer may face when working with large-scale data pipelines?

As an Associate Data Engineer, you may often encounter challenges such as optimizing data pipeline performance, ensuring data quality, and troubleshooting bottlenecks when processing large volumes of data. Working with distributed systems can introduce complex issues like latency and data consistency. Collaborating effectively with data scientists, analysts, and senior engineers is crucial for aligning data infrastructure with evolving project requirements. Regularly learning new tools and best practices will help you adapt to these challenges and grow in your role.

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

AspectAssociate Data EngineerData Engineer
Required CredentialsBachelor's degree in CS, Data Science, or related field; basic knowledge of SQL and PythonBachelor's or Master's degree; advanced knowledge of SQL, Python, Spark, and cloud platforms
Work EnvironmentEntry-level, team-focused, often in tech or finance industriesMid to senior level, designing and maintaining data pipelines in various industries
Employer & Industry UsageCommon in tech companies, startups, and finance firmsUsed across industries for building scalable data infrastructure
Common Search & ComparisonOften compared for career progression and skill requirements

The Associate Data Engineer role is an entry-level position focusing on supporting data infrastructure, while the Data Engineer is a more advanced role responsible for designing and maintaining complex data systems. The roles share similar educational backgrounds and work environments but differ in experience level and responsibilities.

Is an associate data engineer entry level?

An associate data engineer is typically an entry-level position suitable for candidates with limited professional experience in data engineering. It often requires foundational skills in SQL, Python, or cloud platforms and serves as a starting point for a career in data engineering.

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

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

What are popular job titles related to Associate Data Engineer jobs in Apex, NC?

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

What job categories do people searching Associate Data Engineer jobs in Apex, NC look for?

The top searched job categories for Associate Data Engineer jobs in Apex, NC are:

What cities near Apex, NC are hiring for Associate Data Engineer jobs?

Cities near Apex, NC with the most Associate Data Engineer job openings:

Associate Data Engineer jobs near you
Infographic showing various Associate Data Engineer job openings in Apex, NC as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $29,697 per year, or $14.3 per hour.

Senior Software Engineer

First Citizens Bank

Raleigh, NC • On-site

$119K - $157K/yr

Other

This job post has expired today. Applications are no longer accepted.

First Citizens Bank rating

7.4

Company rating: 7.4 out of 10

Based on 106 frontline employees who took The Breakroom Quiz

106th of 171 rated banks

Job description

Overview

This position is HYBRID in Raleigh, NC

We are seeking aSenior Software Engineerwith strong experienceofCloud Technologies aroundSnowflakeecosystem.This role will involve building robust backend services, data integration pipelines, and user interfaces that drive real-time and batch data flows across cloud environments.Develops software and procedures that improve processing capabilities. Analyzes, codes, tests, and implements in coordination with management, associates, and end users. Serves as production system support by resolving issues and ensuring ongoing functionality. May oversee the work of less experienced analysts orassistin special projects as needed.

The ideal candidate is a hands-on data engineer withexpertisein cloud-based data platforms, data warehousing, ETL/ELT development, and modern data engineering practices. This individual will build andoptimizescalable pipelines,integrationsutilizingAWS Services, Snowflake,dbt, Python, SQL, and related technologies.

You will work across the full stack-from APIs and data ingestion layers to orchestration logic and UI components-helping architect and build scalable, extensible platforms


Responsibilities

The successful candidate will thrive in a collaborative environment,possessstrong problem-solving skills, and be passionate about building reliable, scalable, and high-quality data solutions.

  • Design, develop, and support scalable data pipelines, data warehouses, and cloud-based data solutionsutilizingAWS Services, Snowflake,dbt, Python, SQL, and related technologies.
  • Develop and maintain ETL/ELT processes, data integrations, and transformation frameworks supporting operational, reporting, and analytical workloads.
  • Implement and enhance data quality controls, reconciliation processes, testing frameworks, anddbttests to ensure trusted and reliable data assets.
  • Optimizedata pipeline performance and operational efficiency through monitoring, alert investigation, automation, testing, CI/CD, dashboard development, and production support activities.
  • Develop monitoring dashboards and operational metrics to improve platform visibility, reliability, and incident response.
  • Support deployment automation, release validation, and environment promotion processes to improve delivery reliability and operational efficiency.
  • Collaborate with business and technology stakeholders to understand requirements and deliver scalable data solutions that support businessobjectives.
  • Contribute to engineering best practices through technical discussions, peer reviews, documentation, and continuous improvement initiatives across the data engineering team
  • Leverage AI-powered development and productivity tools to improve engineering efficiency, code quality, testing, and delivery outcomes.

Qualifications

Bachelor's Degree and 4 years of experience in Software application development and maintenance OR High School Diploma or GED and 8 years of experience in Software application development and maintenance

Technical Expertise:

  • ProficiencyinAWS Services(e.g., EC2, S3, Lambda, RDS), Snowflake,dbt, Pythonand SQL
  • Hands-on experience with Apache Airflow
  • Frontend experience with React and RESTful API integration
  • Strong database skills (PostgreSQL, MSSQL, JSONB, data modeling)
  • Familiarity with containerization and orchestration (Docker, ECS, EKS, etc.)
  • Strong understanding of API development, cloud architecture, and DevOps practices
  • Strong knowledge of release and configuration management tools (e.g., Gitlab, Jenkins, Git, Azure DevOps).
  • Proficiencyin SQL databases and experience with data migration/integration processes.

Problem Solving & Communication:

  • Strong analytical skills toidentifyand resolve issues during the release process.
  • Excellent verbal and written communication skills to collaborate effectively with technical and non-technical stakeholders.

Preferred Qualifications

  • Advanced experience with cloud platforms such as AWS, Azure, or GCP.
  • Advanced experience with modern data warehousing and large-scale data processing technologies such as Snowflake, Spark, or equivalent platforms.
  • Advancedproficiencyin Python and SQL.

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