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Etl Data Engineer Jobs (NOW HIRING)

Orion Innovation

ETL/Data Engineer

Montvale, NJ · On-site

Data Engineering Leadership * Lead design and implementation of ETL/ELT pipelines on cloud platforms * Drive best practices for scalable, reliable, and high-performance data solutions * Provide ...

Artech Information System LLC

ETL Developer

Herndon, VA · On-site

$52.50 - $68.75/hr

Data Analytics Oracle-BI Data Warehouse Development Programming/ software development Relational Data Modelling SQL (Structured Query Language) Qualifications Primary - Informatica-PowerCenter-ETL ...

Avani Technology Solutions, Inc.

ETL Developer

Sacramento, CA · On-site

$54.50 - $71.25/hr

ETL Talend Developer Sacramento, CA 12 Months + Right to Hire W2 only, no C2C at this moment ... Familiarity with Big Data Technologies (Ingestion Framework Spark) is a plus * Experience with Semi ...

Beyond SOF

Cloud ETL Developer

Richmond, VA · On-site

$50.50 - $66.25/hr

SR ETL Developer The client is seeking a senior ETL developer to ingest/transform and load Data Assets and implement a cloud-based data management platform that will support the agency. ETL developer ...

Beyond SOF

Cloud ETL Developer

Richmond, VA · On-site

$50.50 - $66.25/hr

SR ETL Developer The client is seeking a senior ETL developer to ingest/transform and load Data Assets and implement a cloud-based data management platform that will support the agency. ETL developer ...

Lorven Technologies

Data Engineer Epic ETL

Data Engineer Epic ETL Full Time Remote The Data Engineer is responsible for delivering data warehouse, analytics solutions by ingesting, integrating, and curating data from Epic and non-Epic source ...

Raas Infotek LLC

ETL Developer

Texas City, TX

$43.75 - $57/hr

ETL Developer Location: Texas, USA Experience Required: 10+ Years We are looking for a senior ETL ... Required Skills * 10+ years of ETL/Data Integration experience * Informatica PowerCenter/IICS, SSIS ...

New

Orion Innovation

ETL/Data Engineer

Montvale, NJ · On-site

Data Engineering Leadership * Lead design and implementation of ETL/ELT pipelines on cloud platforms * Drive best practices for scalable, reliable, and high-performance data solutions * Provide ...

Siritech Solutions Corp

ETL Developer

Raleigh, NC

$49.50 - $65/hr

Onsite (No Remote) Seeking an experienced ETL Developer to support enterprise data migration and modernization initiatives involving SAS-to-Snowflake conversion and Talend-based ETL pipelines within ...

Siritech Solutions Corp

ETL Developer

Atlanta, GA

$49 - $64.25/hr

Onsite (No Remote) Seeking an experienced ETL Developer to support enterprise data migration and modernization initiatives involving SAS-to-Snowflake conversion and Talend-based ETL pipelines within ...

Virtusa

ETL PySpark Consultant

Tampa, FL · On-site

SDET Role - Responsible for designing, developing, testing and maintaining ETL processes to support data integration and business intelligence initiatives. Need to closely work with stakeholders to ...

Siritech Solutions Corp

ETL Developer

Charlotte, NC

$49.75 - $65.25/hr

Onsite (No Remote) Seeking an experienced ETL Developer to support enterprise data migration and modernization initiatives involving SAS-to-Snowflake conversion and Talend-based ETL pipelines within ...

E*Pro, Inc.

ETL Architect

Columbus, OH

... 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 ...

Miamioh

BI ETL Data Developer II or III

Hoyt, KS

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 ...

DivIHN

Junior Data Engineer (ETL)

Corning, NY · On-site

Junior Data Engineer (ETL) Location: On-site at Corning, NY Duration: 12 Months Work Schedule: Typical 40 hours per week. May require working weekends/holidays or longer days to support projects.

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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

Orion Innovation

Montvale, NJ • On-site

Other

Posted 24 days ago

Job description

Role Summary:

We are seeking a Technical ETL Lead to design, build, and manage scalable data pipelines and modern data platforms using Databricks and cloud-based data lakes. This role will play a critical part in delivering data solutions that support analytics, reporting, and AI initiatives.

Key Responsibilities

  • Data Engineering Leadership
    • Lead design and implementation of ETL/ELT pipelines on cloud platforms
    • Drive best practices for scalable, reliable, and high-performance data solutions
    • Provide technical leadership and mentoring to data engineers
  • Databricks & Data Platform Development
    • Build and optimize data pipelines using Azure Databricks
    • Design and manage Data Lake architectures (Lakehouse preferred)
    • Develop reusable frameworks for ingestion, transformation, and orchestration
  • Architecture & Design
    • Define data models, integration patterns, and storage strategies
    • Ensure data quality, governance, and security across pipelines
    • Optimize performance and cost across large-scale data processing systems
  • Collaboration & Delivery
    • Work with business, analytics, and application teams to define data requirements
    • Partner with cloud, DevOps, and architecture teams for platform integration
  • Automation & AI Enablement
    • Incorporate automation, AI/ML pipelines, and agentic workflows
    • Build intelligent data pipelines with monitoring and self-healing capabilities

Experience:

  • 8+ years in Data Engineering / ETL development
  • 2-3+ years in a lead or senior technical role

 

Skills Required:

  • Strong experience with:
    • Azure Databricks (Spark, PySpark)
    • Data Lakes (Azure Data Lake Storage)
    • ETL/ELT frameworks and distributed data processing
    • SQL, Python (preferred), and data modeling
  • Cloud & Tools
    • Azure ecosystem (ADF, Synapse, Databricks)
    • CI/CD pipelines for data workflows
    • Data governance and monitoring tools
  • Soft Skills
    • Strong problem-solving and communication skills
    • Ability to translate business needs into technical solutions

Preferred Experience

  • Large-scale enterprise data platform implementation
  • Experience with real-time streaming (Kafka/Event Hub)
  • Familiarity with AI/ML pipelines and advanced analytics
  • Experience in regulated/audit environments

Key Differentiator:

  • Ability to build modern, AI-enabled data platforms with strong automation and scalability

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