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Python Etl Data Engineer Jobs (NOW HIRING)

ExcelHire LLC - ATS TESTING

ETL Developer

Dallas, TX · On-site

$65 - $75/hr

ETL Developer Job Title: ETL Developer Location: Dallas, TX, USA Job Type: Contract Work Mode ... Experience with Python for data processing and automation. * Experience with Apache Airflow or ...

iSphere

ETL Data Engineer - ETRM/SSRS-Houston, TX

Houston, TX · On-site

$109K - $131K/yr

Strong Python development experience focused on ETL, data engineering, APIs, automation, and data transformation * Experience with Pandas, NumPy, and other data-processing libraries * Experience ...

Navtech, Inc.

ETL Data Analyst

Cincinnati, OH · On-site

I have an opportunity for "ETL Data Analyst - Cincinnati, OH (Remote till COVID)" and I am looking ... programming (XML, JavaScript, or ETL frameworks). Knowledge of statistics and experience using ...

Codeconnectinc

ETL Developer

Virginia, IL · On-site

$50 - $65.50/hr

Recommend and implement improvements to enhance ETL processes and data management practices. Mandatory skills : ETL, Python, Shell Scripting, Linux, FHIR, EDI, InterOp, Health care domain Programming ...

New

Miamioh

BI ETL Data Developer II or III

Hoyt, KS · On-site

Job Title BI ETL Data Developer II or III Department Business Intelligence Team Worker Type Regular ... Write, optimize, and maintain SQL and/or Python-based transformations that support scalable ...

Noblis

ETL Data Engineer with Security Clearance

Reston, VA · On-site

$119K - $143K/yr

Engineering Python-based ETL pipelines to ingest, clean, and optimize large datasets from various sources, refining data quality and processing efficiency. * Data Preparation: Applying Python and SQL ...

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How much do python etl data engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for python etl data engineer in the United States is $139,971.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,500.00 and $164,500.00 per year, depending on experience, location, and employer.

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

AspectPython Etl Data EngineerData Analyst
Required SkillsPython, ETL tools, SQL, data modelingExcel, SQL, data visualization, basic scripting
Work EnvironmentData pipelines, backend systems, cloud platformsData interpretation, reporting, business insights
CertificationsETL certifications, Python certifications, cloud certificationsData analysis, business intelligence certifications

Python Etl Data Engineers focus on building and maintaining data pipelines using Python and ETL tools, working primarily with backend systems and cloud platforms. Data Analysts interpret data, create reports, and provide business insights, often using Excel and visualization tools. While both roles require SQL knowledge, Python Etl Data Engineers emphasize data infrastructure, whereas Data Analysts focus on data interpretation and presentation.

What cities are hiring for Python Etl Data Engineer jobs?

Cities with the most Python Etl Data Engineer job openings:

What states have the most Python Etl Data Engineer jobs?

States with the most job openings for Python Etl Data Engineer jobs include:

What are popular job titles related to Python Etl Data Engineer jobs?

For Python Etl Data Engineer jobs, the most frequently searched job titles are:

Infographic showing various Python 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 $139,971 per year, or $67.3 per hour.

Senior ETL Data Engineer - Ab Initio

Charlotte, NC • On-site

Pinnacle Technical Resources
See more jobs at Pinnacle Technical Resourcesexternal

$50 - $55/hr

Other

Posted 4 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 ETL Development PySpark, Python Oracle Database 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. #LI-DK1

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