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Etl Data Engineer Jobs (NOW HIRING)

... g., data engineers, analysts, business stakeholders, and security experts) to design and implement ETL solutions that meet the Department's evolving needs; and • Act as a technical leader and ...

ETL Developer / Data Integration

Aliso Viejo, CA · On-site

$54.50 - $71.25/hr

... ETL Developer / Data Integration Professional to design, develop, and maintain robust data integration solutions supporting healthcare business operations. The ideal candidate should have strong ...

Design, develop, and maintain ETL/ELT integration workflows using Informatica IICS. * Create and enhance mappings, mapping tasks, taskflows, and synchronization jobs. * Perform data extraction ...

ETL Data Engineer

San Jose, CA · On-site

$134K - $161K/yr

... data into a new PostgreSQL-based infrastructure Design, build, and maintain robust ETL/ELT ... engineering and business stakeholders Partner with business and technical stakeholders to align ...

New

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 ...

ETL Developer

Dallas, TX · On-site

$65 - $75/hr

ETL Developer Job Title: ETL Developer Location: Dallas, TX, USA Job Type: Contract Work Mode ... Extract data from databases, APIs, files, and other source systems. * Transform and cleanse data ...

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 ...

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 ...

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 ...

Collaborate with data engineers, developers, business analysts, and stakeholders to resolve data ... Strong experience in ETL Testing and Enterprise Data Warehouse (EDW) Testing. * Extensive ...

Collaborate with data engineers, developers, business analysts, and stakeholders to resolve data ... Strong experience in ETL Testing and Enterprise Data Warehouse (EDW) Testing. * Extensive ...

Collaborate with data engineers, developers, business analysts, and stakeholders to resolve data ... Strong experience in ETL Testing and Enterprise Data Warehouse (EDW) Testing. * Extensive ...

Collaborate with data engineers, developers, business analysts, and stakeholders to resolve data ... Strong experience in ETL Testing and Enterprise Data Warehouse (EDW) Testing. * Extensive ...

Collaborate with data engineers, developers, business analysts, and stakeholders to resolve data ... Strong experience in ETL Testing and Enterprise Data Warehouse (EDW) Testing. * Extensive ...

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Etl Data Engineer information

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How much do etl data engineer jobs pay per hour?

As of Aug 22, 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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Infographic showing various Etl Data Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $116,792 per year, or $56.1 per hour.

ETL Architect

Damco Solutions

Tallahassee, FL • On-site

Full-time

Re-posted 5 days ago


Job description

Job Summary:
Damco Solutions is seeking an ETL Architect to drive the development of data integration pipelines within the Correction Information Management System (CIMS) Data Warehouse/Data Lake on Azure. The role involves designing high-performing ETL processes, ensuring data integrity and security, and collaborating with cross-functional teams to meet the Department's evolving needs.
Responsibilities:
• Lead the design and development of high-performing ETL processes to integrate and transform data across disparate sources;
• Deliver efficient, reliable pipelines that meet business needs and maintain the highest standards of security; and
• Utilize ADF to automate and streamline data workflows, ensuring smooth transitions from source to target.
• Build and manage complex ETL workflows that extract, transform, and load data for downstream analytics and reporting, ensuring data is accurate, timely, and secure; and
• Take ownership of data quality and validation, creating resilient ETL processes that ensure only trusted data reaches its destination.
• Leverage the full power of the Azure ecosystem—ADF, Databricks, Synapse, and Purview—to manage and process high volumes of structured and unstructured data, delivering solutions that are scalable and performance-optimized; and
• Integrate large datasets into Azure Synapse Analytics, enabling analytics teams to deliver data-driven insights that support the Department's mission.
• Continuously optimize ETL jobs to minimize latency and maximize throughput; and
• Ensure the architecture supports fast, reliable data access for end-users and systems, meeting stringent performance metrics.
• Embed security and compliance best practices in every step of the ETL process;.
• Protect sensitive data by adhering to industry standards and ensuring compliance with the Department's data governance policies; and
• Use Azure Purview to enforce data governance, track data lineage, and ensure that data handling meets the highest standards of integrity.
• Partner with cross-functional teams (e.g., data engineers, analysts, business stakeholders, and security experts) to design and implement ETL solutions that meet the Department's evolving needs; and
• Act as a technical leader and mentor, helping guide junior team members and providing expert guidance on data processing and transformation best practices.
• Develop and maintain clear, detailed documentation for ETL processes, ensuring the team can consistently deliver high-quality, reliable solutions; and
• Establish and enforce best practices for data handling, ETL development, and security, driving a culture of excellence and accountability.
Qualifications:
Required:
• A bachelor's degree from an accredited college or university in Computer Science, Information Systems, or a related field is required. Alternatively, equivalent work experience, including experience in Service-Oriented Architecture (SOA) and Microsoft Azure Cloud Solutions, can be substituted for the educational requirement on a year-for-year basis, when applicable.
• Seven (7) or more years of experience in ETL development and data engineering
• Three (3) or more years of hands-on experience working with ADF, Azure Cloud, Azure Databricks, Azure Synapse Analytics, and Azure Purview
• Proven track record of building and optimizing large-scale ETL pipelines for high-performance, high-availability environments
• Extensive expertise in Spark, Python, and/or Scala for large-scale data transformations
• Strong Structured Query Language (SQL) proficiency and experience working with complex data structures
• In-depth knowledge of data governance, security protocols, and role-based access control (RBAC) within the Azure ecosystem
• Ability to design ETL processes that are resilient, efficient, and fully compliant with regulatory standards
Preferred:
• Possession of a Microsoft Office Certification as an Azure Data Engineer Associate, Azure Solutions Architect Expert, and Azure Fundamentals
• Azure Databricks Certification as a Data Engineer Associate
Company:
Damco Solutions is a provider of IT solutions, services, and products. Founded in 1996, the company is headquartered in Plainsboro, USA, with a team of 1001-5000 employees. The company is currently Late Stage.