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Etl Data Engineer Jobs (NOW HIRING)

IT America Inc

ETL Data Engineer

Malvern, PA · On-site

Position: ETL Data Engineer Location: Malvern, PA Duration: Long term contract * Writes ETL (Extract / Transform / Load) processes, designs analytical data sets, develops tools for real-time and ...

Zuplon

ETL / Data Engineer

Charlotte, NC

$111K - $134K/yr

Role: ETL / Data Engineer (BigQuery & Starburst) Location: Charlotte, NC (Onsite) Role Summary We are looking for ETL/Data Engineers with strong experience in BigQuery and Starburst to design, build ...

Kanak Elite Services Inc

ETL/Data Developer

Malvern, PA · On-site

$50 - $65.50/hr

Position : ETL/Data Developer Location : Malvern, PA Hybrid (3 days a week onsite & must be willing to relocate and be onsite on day 1) Duration : Long term contract * Must complete a coding ...

Orion Innovation

ETL/Data Engineer

Montvale, NJ · On-site

Required : • 8+ years in Data Engineering / ETL development • 2-3+ years in a lead or senior technical role • Strong experience with Azure Databricks (Spark, PySpark) • Strong experience with ...

MSR Technology Group

ETL Data Engineer

Springfield, IL · Remote

$113K - $136K/yr

Senior Data Engineer - Azure / Python ETL Modernization Remote (U.S.) with Minimal travel (2-3x per year) Overview We're hiring a Senior Data Engineer to lead enterprise ETL modernization initiatives ...

Tekfortune Inc.

Data Pipeline/ETL Developer

San Diego, CA · Hybrid

$54.25 - $70.75/hr

Data Pipeline/ETL Developer Location: San Diego, CA (Hybrid) Only W2 Role, Only Local Candidates Needed Key Skills * SQL & Data Warehousing / Business Intelligence skills * ETL/ data pipeline ...

New

Eliassen Group

ETL Data Engineer

Tysons, VA · Remote

$70 - $88/hr

The role spans Spark-based ETL on AWS data lake platforms and development of LLM-powered agents with secure, auditable outputs. The engineer will collaborate across teams, uphold secure development ...

Tekfortune Inc.

ETL Developer

Mountain View, CA · On-site

$59.75 - $78.25/hr

ETL developer Mountain View, CA (Onsite) Long Term Key Skills SQL & Data Warehousing / Business Intelligence skills ETL/ data pipeline development experience Build ETL/ELT pipelines, implement SCD ...

Shimento, Inc.

Junior ETL Developer

Vacaville, CA

$57.75 - $75.50/hr

Job Title: Junior ETL Developer Location: Vacaville, CA (5 Days Onsite) Duration: Long-Term ... Develop and maintain ETL/data ingestion pipelines. * Extract, transform, and load data from various ...

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 ...

Apex Informatics

Data Engineer/ETL

Pittsburgh, PA · On-site

Data Engineer/ETL Location: Pittsburgh, PA Contract for 12+ months Description: Data Engineer - ETL with Python, Hadoop & Snowflake Responsibilities • Organize business needs into ETL/ELT logical ...

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Etl Data Engineer information

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How much do etl data engineer jobs pay per hour?

As of Jun 19, 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 ETL in data engineer?

ETL in data engineering refers to the process of Extracting data from various sources, Transforming it into a suitable format, and Loading it into a data warehouse or database. Data engineers often design and maintain ETL pipelines using tools like Apache Spark, Talend, or Informatica to ensure data is accurate, consistent, and accessible for analysis.

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

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 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.

Will AI replace ETL?

AI is increasingly used to automate and optimize ETL processes, but it is unlikely to fully replace ETL Data Engineers. Instead, AI tools enhance data integration, transformation, and quality tasks, requiring engineers to develop skills in managing and implementing these technologies. Human oversight remains essential for complex data workflows and ensuring data integrity.

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 engineers make 500,000?

Senior data engineers, including those specializing in ETL processes, cloud platforms, and big data tools, can earn $500,000 or more annually, especially with extensive experience, advanced certifications, and leadership roles. High compensation often involves working in large organizations, managing complex data architectures, or holding executive-level responsibilities.

Is ETL outdated?

ETL (Extract, Transform, Load) remains a fundamental process in data engineering, including for ETL Data Engineers, although newer data integration methods like ELT and real-time streaming are gaining popularity. Many organizations still rely on traditional ETL workflows, especially with tools like Apache NiFi, Talend, and Informatica, making ETL a relevant skill in the industry today.

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.
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Etl Data Engineer jobs near you
ETL Data Engineer

ETL Data Engineer

IT America Inc

Malvern, PA • On-site

Contractor

Posted 6 days ago

Job description

Position: ETL Data Engineer

Location: Malvern, PA

Duration: Long term contract

Job Description:

  • Writes ETL (Extract / Transform / Load) processes, designs analytical data sets, develops tools for real-time and offline analytic processing.
  • Assists with analysis and visualization tasks (light statistical analysis, Tableau).
  • Minimum of three years data analytics, data engineering, programming, database administration, or data management experience. Experience in creating automated ETL routines on AWS (Glue ETL, Lambda, Athena, Python, PySpark).
  • Experience on EMR, EMR to Glue upgrade, Step Functions.