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Etl Jobs in Raleigh, NC (NOW HIRING)

Siritech Solutions Corp

ETL Developer

Raleigh, NC · On-site

$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 ...

Compunnel

Data Engineer ETL

Durham, NC · On-site

$110K - $132K/yr

Job Summary We are seeking a highly motivated Data Engineer (ETL) to design, develop, and maintain scalable data engineering solutions supporting enterprise data aggregation and integration ...

CYNET SYSTEMS

AWS/Java/ETL Developer

Raleigh, NC · On-site

$50 - $55/hr

Knowledge/experience using any ETL tools, experience with data analytics using PowerBI or AWS Quick Sight etc. is plus. * Must have experience/familiar with Agile/Scrum Framework environments.

InstantServe LLC

NC client AWS/Java/ETL Developer

Raleigh, NC · On-site

$45 - $58.25/hr

client-ITD is seeking an AWS/Java/ETL developer specializing in Data modernization using cloud solutions on AWS . client-ITD is looking to hire an AWS/Java developer with 8-10 years of software ...

InstantServe LLC

NC client AWS/Java/ETL Developer

Raleigh, NC · On-site

$45 - $58.25/hr

client-ITD is seeking an AWS/Java/ETL developer specializing in Data modernization using cloud solutions on AWS . client-ITD is looking to hire an AWS/Java developer with 8-10 years of software ...

Siritech Solutions Corp

Test Lead

Raleigh, NC · On-site

$46.25 - $63/hr

The ideal candidate should possess strong expertise in Snowflake, SQL, ETL/Data Warehouse testing, data validation, reconciliation, test automation, and Test Development Lifecycle (TDLC ...

Emonics LLC

Entry Level Data Engineer

Durham, NC · On-site

$103K - $124K/yr

Entry Level Data Engineer We are hiring a Data Engineer to support the design and maintenance of data pipelines and ETL processes. The candidate will help manage large-scale data systems.

Sonsoft Inc

Informatica

Cary, NC

$49.25 - $64.75/hr

... as ETL and Oracle technology At least 2 years of experience in Software development life cycle At least 2 years of experience in DW/BI related technologies and Informatica as ETL - MUST At least 2 ...

Fidelity Investments

Senior Data Engineer

Durham, NC

$102K - $139K/yr

Develops Extract Transform and Load and Extract Load and Transform (ETL/ELT) strategies. Advances recordkeeping systems by writing complex SQL queries using Oracle Procedural Language/Structured ...

Fidelity Investments

Senior Data Engineer

Durham, NC · On-site

$102K - $139K/yr

Develops Extract Transform and Load and Extract Load and Transform (ETL/ELT) strategies. Advances recordkeeping systems by writing complex SQL queries using Oracle Procedural Language/Structured ...

UnitedHealth Group

Senior Data Engineer

Raleigh, NC · Remote

$91K - $163K/yr

Architect and optimize complex ETL processesand data pipelines usingDatabricks(Spark, SQL, Python) or other enterprise-scale integration tools to ensure high-performance processing of large-scale ...

BCforward

Ab initio DesignerDeveloper

Raleigh, NC · On-site

... Solid ETL experience with at least 4 years of Ab initio Design and Development experience (2) Hands on experience on DB2, Teradata and Oracle. (3) Knowledge of MQ and MDM is a plus. Additional ...

Focused HR Solutions

Azure Data Engineer 1-20-

Raleigh, NC · Remote

$117K - $140K/yr

You will analyze data and create rules for the ETL process. The import process will also include identifying the business rules and apply them to the files stored in staging area before moving the ...

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Etl information

See Raleigh, NC salary details

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$78

How much do etl jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for etl in Raleigh, NC is $55.77, according to ZipRecruiter salary data. Most workers in this role earn between $47.64 and $62.40 per hour, depending on experience, location, and employer.

Is ETL hard to learn?

ETL (Extract, Transform, Load) is a data integration process that requires understanding of databases, scripting, and data workflows. Learning ETL tools like Informatica, Talend, or Apache NiFi involves gaining technical skills and experience with data manipulation, but it can be learned through training and practice. The difficulty depends on prior technical knowledge and familiarity with data concepts.

What are ETL jobs?

ETL stands for Extract, Transform, Load, which refers to a process used in data integration and management. ETL jobs involve extracting data from various sources, transforming it into a consistent format, and loading it into a destination system such as a data warehouse. Professionals working in ETL design, develop, and maintain these processes to ensure data is accurate, reliable, and ready for analysis. ETL is essential for organizations that need to consolidate data from multiple sources for business intelligence and reporting.

Will ETL be replaced by AI?

ETL (Extract, Transform, Load) roles involve designing and managing data pipelines, which AI can assist but not fully replace. AI tools can automate parts of data processing and improve efficiency, but human expertise is still needed for complex data integration, validation, and system oversight. Therefore, ETL jobs are likely to evolve with AI integration rather than disappear entirely.

What tech jobs pay 400,000 a year?

High-level data engineering roles such as senior ETL developers or architects with extensive experience, expertise in tools like Apache Spark or Kafka, and advanced certifications can reach or exceed $400,000 annually. These positions often require leadership responsibilities, specialized skills, and work in large organizations or consulting firms with competitive compensation packages.

What are the key skills and qualifications needed to thrive as an ETL (Extract, Transform, Load) Developer, and why are they important?

To thrive as an ETL Developer, you need strong skills in data analysis, SQL, database management, and a background in computer science or a related field. Familiarity with ETL tools such as Informatica, Talend, or Microsoft SSIS, and possibly certifications in data engineering or relevant platforms, is typically expected. Analytical thinking, attention to detail, and effective communication are crucial soft skills for translating business requirements into technical solutions. These skills are vital to ensure accurate, efficient, and reliable data integration processes that support business intelligence and decision-making.

What is the difference between Etl vs Data Analyst?

AspectEtlData Analyst
Required CredentialsTypically requires knowledge of SQL, scripting, and data warehousing toolsRequires skills in statistics, data visualization, and often a degree in analytics or related fields
Work EnvironmentData integration and pipeline development in data warehouses or ETL toolsData interpretation, reporting, and visualization in business or research settings
Industry UsageUsed in data engineering, data warehousing, and BI projectsUsed across industries for insights, reporting, and decision-making

ETL (Extract, Transform, Load) specialists focus on building data pipelines to move and prepare data for analysis. Data Analysts interpret and visualize data to support business decisions. While ETL involves technical data processing, Data Analysts focus on analyzing and presenting data insights.

What is ETL in a job?

ETL in a job 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. ETL developers or specialists typically work with tools like Informatica, Talend, or Apache NiFi and require skills in data modeling, scripting, and database management.

What are some typical challenges faced by ETL professionals during data integration projects?

ETL professionals often encounter challenges such as handling inconsistent or incomplete data, optimizing performance for large-scale data loads, and ensuring data security during transfers. Coordination with multiple teams—like data architects, business analysts, and database administrators—is essential to clarify data requirements and resolve issues quickly. Additionally, adapting ETL processes to evolving business needs and new data sources requires a proactive and problem-solving mindset.
What are the most commonly searched types of Etl jobs in Raleigh, NC? The most popular types of Etl jobs in Raleigh, NC are:
What are popular job titles related to Etl jobs in Raleigh, NC? For Etl jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Etl jobs in Raleigh, NC look for? The top searched job categories for Etl jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Etl jobs? Cities near Raleigh, NC with the most Etl job openings:
Etl jobs near you
Infographic showing various Etl job openings in Raleigh, NC as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $116,007 per year, or $55.8 per hour.

ETL Developer

Siritech Solutions Corp

Raleigh, NC • On-site

$49.50 - $65/hr

Full-time

Re-posted 23 days ago

Job description

Total Required Experience in Years: Minimum 810+ Years
Mode of Work: Onsite (No Remote)

Job Description:Seeking an experienced ETL Developer to support enterprise data migration and modernization initiatives involving SAS-to-Snowflake conversion and Talend-based ETL pipelines within a banking environment. The ideal candidate should possess strong expertise in Snowflake, Talend, PySpark, SQL, Unix/Linux, SAS code analysis, cloud platforms, and enterprise ETL/ELT development. This role requires hands-on experience analyzing legacy SAS code, converting business logic into Snowflake SQL and Talend pipelines, developing scalable ETL jobs, implementing CDC logic, optimizing performance, and ensuring data quality, integrity, and SLA adherence across enterprise data platforms.


Key Responsibilities:

  • Analyze complex SAS code, macros, and batch workflows to understand business logic and data transformations
  • Refactor, optimize, and convert legacy SAS processes into Snowflake SQL and Talend ETL pipelines
  • Design and develop Talend ETL/ELT jobs for enterprise data ingestion, transformation, and loading into Snowflake
  • Implement Talend transformations including tMap, tJoin, tAggregateRow, and tFilterRow to support business logic processing
  • Create and maintain source-to-target mapping documents (MapDocs) and transformation logic documentation
  • Develop parameterized Talend jobs using context variables for DEV, QA, and PROD environments
  • Build and manage Snowflake data pipelines using SQL, stored procedures, and automated tasks
  • Implement incremental load processing and Change Data Capture (CDC) logic for large datasets
  • Perform data profiling, validation, reconciliation, and quality checks between source and Snowflake systems
  • Troubleshoot ETL failures, resolve data issues, and optimize performance bottlenecks in Snowflake and Talend pipelines
  • Optimize Snowflake queries and Talend workflows for scalability, performance, and cost efficiency
  • Ensure enterprise data delivery meets SLA/OLA timelines and release requirements
  • Collaborate with QA teams, Data Modelers, business teams, and stakeholders during UAT, deployments, and post-production validation


Additional Responsibilities:

  • Support enterprise migration and modernization activities involving Snowflake and Talend ecosystems
  • Maintain transformation logic, technical documentation, and ETL development standards
  • Participate in release management, testing, deployment support, and production readiness activities
  • Support continuous improvement of ETL performance, scalability, and data quality practices
  • Collaborate across technical and business teams to ensure seamless delivery and issue resolution


Required Skills:

  • Strong expertise in Snowflake, Talend, PySpark, SQL, Unix/Linux, and SAS code analysis/conversion
  • Strong experience designing and developing ETL/ELT pipelines and enterprise data workflows
  • Experience converting SAS processes into Snowflake SQL and Talend pipelines
  • Hands-on experience implementing Talend transformations including tMap, tJoin, tAggregateRow, and tFilterRow
  • Experience implementing CDC logic, incremental loads, and large-scale data processing solutions
  • Strong data profiling, validation, reconciliation, and data quality experience
  • Experience optimizing Snowflake queries and Talend jobs for performance and cost efficiency
  • Experience with AWS/Azure cloud platforms and enterprise data ecosystems
  • Strong troubleshooting, debugging, and stakeholder collaboration skills


Qualifications:

  • Minimum 810+ years of strong hands-on ETL/Data Engineering experience required
  • Experience supporting enterprise migration and modernization initiatives required
  • Strong enterprise data integration and release support experience preferred
  • Experience collaborating with QA, business, and Data Modeling teams preferred