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Etl Data Engineer Jobs (NOW HIRING)

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 ...

ETL Data Engineer with IICS

Mclean, VA

$117.50K - $141.10K/yr

Title: ETL Data Engineer with IICS Location: McLean VA Exp : 10 Need Local to VA only The Role We're looking for a Senior Data Engineer to design, build, and optimize scalable data solutions that ...

ETL Developer

Sacramento, CA ยท 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 ...

ETL Developer

Herndon, VA

$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 ...

Cloud ETL Developer

Richmond, VA ยท 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 ...

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 ...

Cloud ETL Developer

Richmond, VA ยท 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 ...

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 ...

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 ...

... 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 ...

The ideal candidate should have strong hands-on experience with data warehousing, ETL tools, SQL ... Mentor junior ETL developers and provide technical guidance Required SkillsETL Tools Strong ...

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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.

ETL Developer | 10+ Years

Norfolk, VA ยท On-site

$44 - $57.50/hr

MDAEdge is seeking a skilled ETL Developer with hands-on experience in SSIS and Databricks to ... The role involves building efficient data pipelines, ensuring high data quality, and collaborating ...

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 ...

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 ...

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Etl Data Engineer information

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How much do etl data engineer jobs pay per hour?

As of May 29, 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 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 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 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 engineering jobs pay $500,000?

Etl Data Engineers in senior or specialized roles with extensive experience, advanced skills in data pipeline tools, cloud platforms, and programming can reach compensation levels around $500,000, especially in high-demand industries or companies. Such roles often require expertise in big data technologies, certifications, and leadership responsibilities.

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.

More about Etl Data Engineer jobs
What cities are hiring for Etl Data Engineer jobs? Cities with the most Etl Data Engineer job openings:
What states have the most Etl Data Engineer jobs? States with the most job openings for Etl Data Engineer jobs include:
What job categories do people searching Etl Data Engineer jobs look for? The top searched job categories for Etl Data Engineer jobs are:
ETL/Data Engineer

ETL/Data Engineer

Orion Innovation

Montvale, NJ โ€ข On-site

Other

Posted 3 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

ย 

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