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Etl Developer Jobs in Exton, PA (NOW HIRING)

Forhyre

Data Engineer

Philadelphia, PA

$115K - $138K/yr

Informatica/ETL. Responsibilities * Design and develop ETL processes based on functional and non ... Document component design for developers and for broader communication. * Understand and adopt an ...

Compunnel

Senior AWS Big Data Engineer

Malvern, PA · On-site

$54.75 - $72.25/hr

Job Summary We are seeking a Senior AWS Big Data Engineer with 12+ years of experience in data engineering, ETL development, data analysis, and technical architecture for analytics solutions. The ...

Integrated Resources INC

BI Developer

Wayne, PA · On-site

Data Integration Engineer will be responsible for the development of ETL processes using Informatica PowerCenter v9. Technologies include Informatica, Netezza, UC4, QlikView. Must have a solid data ...

1 point system

Sr. Data Engineer

Wayne, PA · On-site

$96K - $130K/yr

Requirement - Sr. Data Engineer Location- * 1041 West Valley Road Wayne, Pennsylvania 19087 * 7900 ... We use AWS Services like Glue ETL, Lambda, Redshift, S3 etc., for our data pipelines. Skills ...

Drevol LLC

Data Engineer

Malvern, PA · On-site

$112K - $134K/yr

Data Engineer Location:Malvern PA Openings: 3 Duration: Contract Job Summary We are seeking an ... Design, develop, and optimize ETL/ELT pipelines using Python, PySpark, and AWS Glue . * Build ...

Sonsoft Inc

Informatica Developer

Wilmington, DE · On-site

$51.75 - $68/hr

Strong Knowledge of Dimensional Modelling, DW architecture, ETL Frameworks, Design and Development using Informatica, Informatica B2B, Best Practices and Troubleshooting * Working knowledge of ...

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Etl Developer information

See Exton, PA salary details

$30

$55

$78

How much do etl developer jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for etl developer in Exton, PA is $55.38, according to ZipRecruiter salary data. Most workers in this role earn between $47.31 and $61.92 per hour, depending on experience, location, and employer.

What is an ETL developer?

An ETL (extract, transform, load) developer is an information technology specialist whose area of expertise is data warehouse solutions. As an ETL developer, your responsibilities include overseeing the big picture data warehousing needs of your company. You work with a team of IT professionals to assess current data storage systems, evaluate needs, and determine the best way to meet those requirements. Once you have developed the new data warehouse system, you oversee the extraction of data from other sources, the uploading of that data into the new system, and testing and troubleshooting to ensure everything works properly.

What are the key skills and qualifications needed to thrive as an ETL developer?

To thrive as an ETL Developer, you need expertise in data warehousing concepts, strong SQL skills, and experience with ETL tools, often supported by a degree in computer science or a related field. Familiarity with tools like Informatica, Talend, SSIS, and proficiency in scripting languages as well as database management systems is typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills in this role. These skills ensure accurate data integration, reliable data pipelines, and successful collaboration with stakeholders in data-driven projects.

What are some common challenges ETL developers face when integrating data from multiple sources, and how can they be addressed?

ETL Developers are IT professionals who specialize in designing, building, and maintaining systems for extracting, transforming, and loading data from various sources into data warehouses or other storage systems. They work with large datasets, ensuring that data is accurately and efficiently moved, cleaned, and integrated for business intelligence and analytics. ETL Developers use specialized tools and programming languages to automate these processes, making data accessible and useful for organizations. Their role is crucial in supporting data-driven decision making.

What is the difference between Etl Developer vs Data Engineer?

AspectEtl DeveloperData Engineer
Primary FocusDesigning and developing ETL processes for data integrationBuilding and maintaining scalable data pipelines and infrastructure
Skills & CertificationsSQL, ETL tools, data warehousing, sometimes certifications like Microsoft or InformaticaProgramming (Python, Java), cloud platforms, big data technologies, often similar certifications
Work EnvironmentData warehouses, BI teams, analytics departmentsData platforms, cloud environments, big data ecosystems
Industry UsageFinance, healthcare, retail, where data integration is keyTech, finance, e-commerce, focusing on data infrastructure

While both roles involve data processing, Etl Developers primarily focus on creating and maintaining ETL processes for data integration, whereas Data Engineers build comprehensive data pipelines and infrastructure to support large-scale data analytics and storage. The roles often overlap, but Data Engineers typically work on broader data architecture and scalability.

Is ETL developer in demand now?

ETL developers are currently in demand due to the increasing need for data integration and management in organizations. Skills in SQL, data warehousing, and tools like Informatica or Talend enhance job prospects, with many companies seeking professionals to support data-driven decision-making.

What do ETL developers do?

ETL developers design, build, and maintain data pipelines that extract data from various sources, transform it into a usable format, and load it into data warehouses or databases. They often use tools like SQL, Python, or specialized ETL software and work closely with data analysts and engineers to ensure data quality and efficiency.
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What cities near Exton, PA are hiring for Etl Developer jobs?

Cities near Exton, PA with the most Etl Developer job openings:

Etl Developer jobs near you
Infographic showing various Etl Developer job openings in Exton, PA as of August 2026, with employment types broken down into 79% Full Time, 3% Part Time, and 18% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $115,186 per year, or $55.4 per hour.

Data Engineer

Forhyre

Philadelphia, PA

$115K - $138K/yr

Full-time

Re-posted yesterday

Job description

We are looking for a passionate certified Data Engineer. The successful candidate will turn data into information, information into insight and insight into business decisions.

Data analyst responsibilities include conducting full lifecycle analysis to include requirements, activities and design. Data analysts will develop analysis and reporting capabilities. They will also monitor performance and quality control plans to identify improvements.

Primary skillset: Python/Pyspark & Azure, ADF, SQL, SQL Server, Data Warehousing, ETL
Secondary: Databricks
Nice to have: Informatica/ETL.

Responsibilities

  • Design and develop ETL processes based on functional and non-functional requirements in python / pyspark within Azure platform
  • Understand the full end to end development activities from design to go live for ETL development and Azure platform
    Recommend and execute improvements
  • Document component design for developers and for broader communication.
  • Understand and adopt an Agile (SCRUM like) software development mindset
  • Follow established processes/standards, business technology architecture for development, release management and deployment process
  • Execute and provide support during testing cycles and post-production deployment, engage in peer code reviews.
  • Elicit, analyze, interpret business and data requirements to develop complete business solutions, includes data models (entity relationship diagrams, dimensional data models), ETL and business rules, data life cycle management, governance, lineage, metadata and reporting elements.
  • Apply automation and innovation on new and on-going data platforms for those development projects aligned to business or organizational strategies.
  • Design, develop and implement reporting platforms (e.g. modeling, ETL, BI framework) and complex ETL frameworks that meet business requirements.
  • Deliver business or enterprise data deliverables (that adhere to enterprise frameworks) for various platforms/servers/applications/systems.

Requirements

  • Proven working experience as a data engineer
  • Bachelor degree or equivalent in Computer Science
  • Skilled in Python object-oriented programming
  • Skilled in AWS Compute such as EC2, Lambda, Beanstalk, or ECS
  • Skilled in AWS Database products such as Neptune, RDS, Redshift, or Aurora
  • Skilled in AWS Management and Governance suite of products such as CloudTrail, CloudWatch, or Systems Manager
  • Skilled in Amazon Web Services (AWS) offerings, development, and networking platforms
  • Skilled in SQL
  • Skilled in Jenkins
  • Skilled in JSON
  • Skilled in discovering patterns in large data sets with the use of relevant software such as Oracle Data Mining or Informatica
  • Skilled in cloud technologies and cloud computing
  • Experience using software and computer systems' architectural principles to integrate enterprise computer applications such as xMatters, AWS Application Integration, or WebSphere
  • Determining causes of operating errors and taking corrective action
  • Experience in the process of analyzing data to identify trends or relationships to inform conclusions about the data
  • Skilled in creating and managing databases with the use of relevant software such as MySQL, Hadoop, or MongoDB
  • Programming including coding, debugging, and using relevant programming languages
  • Communication including communicating in writing or verbally, copywriting, planning and distributing communication, etc.
  • Ability to frame ideas as systems and analyzing the inputs, outputs, and process
  • Experience helping an organization to plan and manage change in effort to meet strategic objectives
  • Adept at managing project plans, resources, and people to ensure successful project completion
  • Working with people with different functional expertise respectfully and cooperatively to work toward a common goal