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Etl Data Engineer Jobs (NOW HIRING)

$84K - $101K/yr

As an ETL Data Engineer, you will play a critical role in our expanding data engineering team. You will be responsible for designing, developing, and maintaining scalable data integration solutions ...

ETL Data Engineer (Python & Snowflake)

$117K - $140K/yr

As an ETL Data Engineer, you will play a critical role in our expanding data engineering team. You will be responsible for designing, developing, and maintaining scalable data integration solutions ...

... Detailed ETL design, Data Mapping, Transformation Rules, Interfaces, Database schema, Scheduling, Performance Tuning, etc Lead a team of designers/developers and guide them throughout the ...

Job Title BI ETL Data Developer II or III Department Business Intelligence Team Worker Type Regular Pay Type Salary Position Salary Minimum 65,000 Position Salary Maximum 87,000 Salary will be ...

ETL Developer

Virginia, IL · On-site

$50 - $65.50/hr

The ETL Developer is responsible for designing, developing, and maintaining Extract, Transform, and ... This role involves working with various data sources, transforming data into actionable insights ...

New

Job Title BI ETL Data Developer II or III Department Business Intelligence Team Worker Type Regular Pay Type Salary Position Salary Minimum 65,000 Position Salary Maximum 87,000 Salary will be ...

ETL developer

$52.25 - $68.25/hr

Responsibilities : • Design, develop, and maintain ETL workflows for data extraction, transformation, and loading. • Collaborate with business analysts, data engineers, and stakeholders to ...

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Etl Data Engineer information

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How much do etl data engineer jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for etl data engineer in the United States is $56.15, according to ZipRecruiter salary data. Most workers in this role earn between $50.72 and $60.58 per hour, depending on experience, location, and employer.

What is an ETL data engineer?

An ETL Data Engineer is an information technology professional responsible for extracting data from various sources, transforming it into a usable format, and loading it into a data warehouse or other storage systems. They design, develop, and maintain ETL (Extract, Transform, Load) pipelines to ensure data is accurate, accessible, and ready for analysis. ETL Data Engineers often work with large datasets, optimize data workflows, and collaborate with data analysts and other stakeholders to support business intelligence and reporting needs.

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

To thrive as an ETL Data Engineer, you need strong proficiency in database management, data modeling, and ETL processes, typically supported by a degree in computer science or a related field. Familiarity with ETL tools like Informatica, Talend, or Apache NiFi, and experience with SQL, data warehousing, and cloud platforms are often required. Analytical thinking, attention to detail, and effective communication are crucial soft skills for troubleshooting and collaborating with stakeholders. These skills ensure efficient, accurate data integration and transformation, which are vital for supporting business intelligence and analytics.

What are some common challenges ETL data engineers face when integrating data from multiple sources?

ETL Data Engineers often encounter challenges such as handling inconsistent data formats, resolving data quality issues, and ensuring data integrity during the integration process. Working with legacy systems, cloud platforms, and various databases can require creative solutions for mapping and transforming data accurately. Additionally, optimizing ETL pipelines for performance and scalability is essential, especially as data volumes grow. Collaboration with data analysts, business stakeholders, and IT teams is key to understanding requirements and ensuring reliable data delivery.

What is the difference between Etl Data Engineer vs Data Analyst?

AspectEtl Data EngineerData Analyst
Required SkillsSQL, ETL tools, programming (Python, Java), data warehousingSQL, data visualization, statistical analysis, Excel
Work EnvironmentData pipelines, backend systems, cloud platformsReporting, dashboards, business insights
CertificationsETL tools, cloud certifications, SQL

While both roles work with data, Etl Data Engineers focus on building and maintaining data pipelines and infrastructure, whereas Data Analysts interpret data to generate insights. The roles often collaborate but have distinct technical focuses and skill sets.

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What states have the most Etl Data Engineer jobs?

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Infographic showing various Etl Data Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $116,792 per year, or $56.1 per hour.

Senior ETL Data Engineer - Ab Initio

Charlotte, NC • On-site

$50 - $55/hr

Other

Posted 10 days ago


Job description

Job Title: ETL Engineer
Location: Charlotte, NC
Type: Contract W2 Only

Description In this contingent resource assignment you may:
  • Consult on or participate in moderately complex initiatives and deliverables within Software Engineering and contribute to large-scale planning related to Software Engineering deliverables.
  • Review and analyze moderately complex Software Engineering challenges that require an in-depth evaluation of variable factors.
  • Contribute to the resolution of moderately complex issues and consult with others to meet Software Engineering deliverables while leveraging solid understanding of the function policies, procedures, and compliance requirements.
  • Collaborate with client personnel in Software Engineering.
Required Qualifications:
  • 4 years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, or education.
Primary Skills
  1. ETL Development
  2. PySpark, Python
  3. Oracle Database
  4. Ab Initio
Key Responsibilities
  • Maintain, support, and enhance existing ETL applications and data integration workflows.
  • Provide production support, troubleshoot issues, and ensure timely resolution of incidents.
  • Analyze, design, develop, test, and deploy ETL solutions using Ab Initio, PySpark, and Python.
  • Lead and execute the migration of ETL jobs and data pipelines from Ab Initio to PySpark.
  • Work closely with business and technology stakeholders to understand requirements and deliver solutions.
  • Leverage AI-assisted development tools to support code generation, refactoring, testing, documentation, and migration activities.
Required Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
  • 4+ years of experience in ETL development and data integration.
  • Strong hands-on experience with Ab Initio or PySpark, Python, and Oracle Database.
  • Experience supporting and maintaining enterprise-scale data processing applications.
  • Experience with production support, incident management, and root cause analysis.
  • Strong analytical, problem-solving, and communication skills.
Preferred Qualifications
  • Experience with cloud-based data platforms and modern data engineering practices.
  • Knowledge of DevOps, CI/CD, version control, and automated testing methodologies.
  • Experience using AI-assisted development tools, such as GitHub Copilot, Microsoft Copilot, or similar, to improve development productivity, accelerate migrations, and enhance code quality.
  • Experience working in Agile/Scrum environments.
  • Proven experience migrating ETL jobs from legacy platforms to modern data processing frameworks.
  • Strong SQL skills.
Key Skills
  • Production Support
  • ETL Modernization & Migration
  • AI-Assisted Development Tools
  • Agile Methodologies
This role requires a strong technical contributor who can balance day-to-day operational support with strategic modernization initiatives while leveraging AI tools to drive efficiency and innovation.
Pay Range: $50-$55/hr on W2.
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