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

Technology Talent Network LLC

Be Seen First

Data Analyst

Raleigh, NC · On-site

$65K - $85K/yr

Collaborate with business analysts, QA, and developers to ensure accuracy and alignment. * Maintain ... Translate technical concepts (e.g., data integration issues, transformation logic, system ...

New

Elder Research

Data Scientist

Raleigh, NC · On-site +1

The focus is on leveraging advanced analytical methods to turn ambiguous business challenges into high-impact, production-ready models, supported by robust data engineering practices.

XTG

Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

The Data Engineer role is responsible for designing, building, and maintaining scalable data ... Partner with business stakeholders, analysts, and application teams to clarify data requirements ...

Elder Research

Data Scientist

Raleigh, NC · On-site

The focus is on leveraging advanced analytical methods to turn ambiguous business challenges into high-impact, production-ready models, supported by robust data engineering practices.

Envestnet

Lead Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

Deliver end-to-end data and analytics capabilities, including data ingest, data transformation ... Other programming languages (R, Scala, SAS, Java, etc.) are a plus. * Data and analytics ...

Envestnet

Lead Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

Deliver end-to-end data and analytics capabilities, including data ingest, data transformation ... Other programming languages (R, Scala, SAS, Java, etc.) are a plus. * Data and analytics ...

Envestnet

Lead Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

Deliver end-to-end data and analytics capabilities, including data ingest, data transformation ... Other programming languages (R, Scala, SAS, Java, etc.) are a plus. * Data and analytics ...

IONNA LLC

Senior Data Analyst

Raleigh, NC · On-site

$110/hr

Data Engineering & Tooling (Analytics-Focused) * Develop AI models and datasets to inform business decisions, correlate data and drive decision-making. * Write efficient, well-documented SQL and/or ...

IONNA LLC

Senior Data Analyst

Raleigh, NC · On-site

$110/hr

Data Engineering & Tooling (Analytics-Focused) * Develop AI models and datasets to inform business decisions, correlate data and drive decision-making. * Write efficient, well-documented SQL and/or ...

IONNA LLC

Senior Data Analyst

Raleigh, NC

$110/hr

Data Engineering & Tooling (Analytics-Focused) * Develop AI models and datasets to inform business decisions, correlate data and drive decision-making. * Write efficient, well-documented SQL and/or ...

Archgroup

Manager, Data Engineer (Remote)

Raleigh, NC · Remote

$100K - $174K/yr

Job Summary Strategic Analytics at Arch is a growing team at the forefront of the company's AI ... Own end-to-end data engineering delivery across the project lifecycle. * Build strong partnerships ...

Archgroup

Manager, Data Engineer (Remote)

Raleigh, NC · Remote

$100K - $174K/yr

Job Summary Strategic Analytics at Arch is a growing team at the forefront of the company's AI ... Own end-to-end data engineering delivery across the project lifecycle. * Build strong partnerships ...

Pwc

Data Engineer - Senior Associate

Raleigh, NC · On-site

$77K - $202K/yr

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 ...

CWILL

Data Engineer - Bilingual Mandarin required

Cary, NC · On-site

$106K - $127K/yr

This is not a pure data analysis, BI reporting, or one-off scripting role. It is a comprehensive data engineering position focused on data integration, data warehouse development, data platform ...

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Showing results 1-20

All JobsData Analytics Engineer JobsData Analytics Engineer Jobs in Raleigh, NC

Data Analytics Engineer information

See Raleigh, NC salary details

$43.3K

$126.1K

$172.5K

How much do data analytics engineer jobs pay per year?

As of Jun 20, 2026, the average yearly pay for data analytics engineer in Raleigh, NC is $126,088.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,300.00 and $133,700.00 per year, depending on experience, location, and employer.

How do Data Analytics Engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

Can I be a data analyst in 3 months?

Becoming a data analyst in three months is challenging but possible with intensive study of core skills such as SQL, Excel, and data visualization tools like Tableau or Power BI. Success depends on prior experience, learning pace, and dedication, but typically, developing proficiency takes longer than three months for most individuals.

What engineers make $500,000?

Senior data analytics engineers with extensive experience, advanced skills in data modeling, and proficiency in tools like Python, SQL, and cloud platforms can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes stock options or bonuses.

What are the key skills and qualifications needed to thrive as a Data Analytics Engineer, and why are they important?

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. However, data analysts are still essential for interpreting results, understanding business context, and communicating findings, making their skills valuable alongside AI tools. Continuous learning in data visualization, programming, and machine learning remains important for the role.

What is the difference between Data Analytics Engineer vs Data Scientist?

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

What does a data analytics engineer do?

A data analytics engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and analyze large datasets. They use tools like SQL, Python, and cloud platforms to enable data-driven decision-making and often collaborate with data scientists and business teams to deliver actionable insights.
What are the most commonly searched types of Data Analytics Engineer jobs in Raleigh, NC? The most popular types of Data Analytics Engineer jobs in Raleigh, NC are:
What are popular job titles related to Data Analytics Engineer jobs in Raleigh, NC? For Data Analytics Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Data Analytics Engineer jobs in Raleigh, NC look for? The top searched job categories for Data Analytics Engineer jobs in Raleigh, NC are:
Data Analytics Engineer jobs near you
Infographic showing various Data Analytics Engineer job openings in Raleigh, NC as of June 2026, with employment types broken down into 58% Full Time, 35% Part Time, and 7% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $126,088 per year, or $60.6 per hour.
Data Analyst

Data Analyst

Technology Talent Network LLC

Raleigh, NC • On-site

$65K - $85K/yr

Full-time

Medical, Retirement

Posted yesterday

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Job description

Job Description

1. SQL / SSIS Depth

  • Build and maintain ETL processes with SSIS (including Data Flow Tasks, Lookups, Merge Joins, Conditional Splits).
  • Handle large datasets (millions of records) from multiple heterogeneous data sources (e.g., QNXT, Salesforce, Oracle, SQL Server).
  • Implement performance tuning strategies (e.g., indexing, parallel processing, optimized joins).
  • Deliver solutions that improve data pipeline performance, accuracy, and maintainability.

2. Cross-Functional Solutioning

  • Conduct thorough impact assessments across interconnected systems and domains.
  • Collaborate effectively with business SMEs and technical stakeholders from multiple teams.
  • Map data flows and dependencies between systems like QNXT, Salesforce, Simplify, and internal applications.
  • Design scalable solutions that support both existing and new business rules (e.g., 834 and 837 EDI processing, provider hierarchy logic).


3. TDD & Transformation Logic

  • Develop comprehensive TDDs with source-to-target mappings, business rules, and transformation logic.
  • Collaborate with business analysts, QA, and developers to ensure accuracy and alignment.
  • Maintain documentation in shared repositories (e.g., Confluence, SharePoint, Git).
  • Support traceability from requirements to implementation to testing.

4. Communication & Development Strength

  • Translate technical concepts (e.g., data integration issues, transformation logic, system limitations) into business-friendly language.
  • Use visuals (e.g., process flows, sample data) to aid understanding.
  • Participate in and lead cross-functional meetings and solution walkthroughs.
  • Facilitate collaboration between dev teams and business units (e.g., Salesforce integration with QNXT).

Qualifications

USC/GC/H4EAD
Minimum 3-5 years of data analytics and experience. Proficiency in SQL queries and reporting in Health Care domain

Work Location: Raleigh NC

Technology Talent Network is an Equal Opportunity Employer M/F/V/D

Company Description

Awesome company with great references and growth opportunity. Customized Payroll Structure
1 on 1 guidance available in person
full learning support available