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Full Time Etl Informatica Developer Jobs in Cary, NC

First Citizens Bank

Lead Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

Advanced experience with enterprise ETL/ELT tools such as DataStage, SAP BODS, SSIS, Informatica ... AWS Certified Data Engineer - Associate, AWS Certified Solutions Architect - Associate or ...

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All JobsEtl Informatica Developer JobsFull Time Etl Informatica Developer JobsFull Time Etl Informatica Developer Jobs in Cary, NC

Full Time Etl Informatica Developer information

See Cary, NC salary details

$9

$54

$65

How much do full time etl informatica developer jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for full time etl informatica developer in Cary, NC is $54.05, according to ZipRecruiter salary data. Most workers in this role earn between $48.56 and $62.36 per hour, depending on experience, location, and employer.

What is the difference between Full Time Etl Informatica Developer vs ETL Data Analyst?

AspectFull Time Etl Informatica DeveloperETL Data Analyst
Primary RoleDesigning, developing, and maintaining ETL processes using InformaticaAnalyzing data, creating reports, and supporting data integration tasks
Skills & CertificationsInformatica certifications, SQL, data warehousingSQL, data analysis tools, reporting skills
Work EnvironmentData warehousing teams, IT departmentsBusiness intelligence teams, analytics departments
Industry UsageCommon in data integration and ETL projectsCommon in reporting and data analysis projects

While both roles involve working with data, the Full Time Etl Informatica Developer focuses on building and maintaining ETL pipelines using Informatica tools, whereas the ETL Data Analyst primarily analyzes data and creates reports to support business decisions. The developer role requires technical skills in ETL development, while the analyst role emphasizes data interpretation and visualization.

What are popular job titles related to Full Time Etl Informatica Developer jobs in Cary, NC? For Full Time Etl Informatica Developer jobs in Cary, NC, the most frequently searched job titles are:
What job categories do people searching Full Time Etl Informatica Developer jobs in Cary, NC look for? The top searched job categories for Full Time Etl Informatica Developer jobs in Cary, NC are:
Full Time Etl Informatica Developer jobs near you
Infographic showing various Full Time Etl Informatica Developer job openings in Cary, NC 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 $112,422 per year, or $54 per hour.

Lead Data Engineer

First Citizens Bank

Raleigh, NC • On-site

$111K - $133K/yr

Full-time

Re-posted 22 hours ago

First Citizens Bank rating

7.4

Company rating: 7.4 out of 10

Based on 106 frontline employees who took The Breakroom Quiz

108th of 170 rated banks

Job description

Overview
This is a remote role that may only be hired in the following location(s): North Carolina, Arizona, Texas and Florida.
We are seeking an experienced Lead Data Engineer to join our Data Platform Engineering Organization and lead the design, development, and modernization of enterprise data platforms that power analytics, reporting, business intelligence, and operational decision-making across the organization.
The ideal candidate is a hands-on data engineering leader with expertise in cloud-based data platforms, data warehousing, ETL/ELT development, and modern data engineering practices. This individual will be responsible for delivering scalable data solutions utilizing AWS Services, Snowflake, dbt, Python, SQL, and related technologies while mentoring team members and driving engineering excellence.
As part of our growing Cloud Data and AI Platform organization, you will lead and collaborate with a talented team of engineers, product partners, and business stakeholders to deliver enterprise data products and cloud-based data solutions. This role offers the opportunity to mentor engineering talent, drive engineering best practices, and support the adoption of modern data engineering capabilities across the organization.
Responsibilities
The successful candidate will have experience working in large enterprise environments and partnering with cross-functional teams to deliver trusted data products that support strategic business objectives.
  • Lead the design, development, and implementation of enterprise data solutions utilizing AWS Services, Snowflake, dbt, Python, SQL, and related cloud technologies.
  • Develop and support data warehouses, Operational Data Stores (ODS), and ETL/ELT pipelines that enable analytics, reporting, and operational data capabilities.
  • Design and implement batch and real-time data processing solutions using modern streaming and event-driven architectures.
  • Partner with business stakeholders, analysts, and technology teams to translate business requirements into scalable data solutions.
  • Define and promote data quality strategies, testing standards, governance practices, and compliance controls across the data platform lifecycle.
  • Establish enterprise testing practices, including data validation frameworks, dbt testing standards, and quality controls to support trusted data products.
  • Define monitoring, observability, and operational reliability standards, including dashboards, alerts, service-level objectives (SLOs), and service-level agreements (SLAs) for enterprise data platforms.
  • Establish deployment strategies, environment promotion standards, and release governance practices that support secure and reliable delivery across enterprise data platforms.
  • Contribute to technical discussions, peer reviews, and knowledge-sharing initiatives across the data engineering team.
  • Leverage AI-powered development and productivity tools to accelerate solution delivery, improve code quality, and enhance engineering productivity

Qualifications
Bachelor's Degree and 6 years of experience in Data Engineering, Data Warehousing, Cloud Data Platforms, or related technology disciplines.
OR
High School Diploma or GED and 10 years of experience in the same areas.
Preferred Qualifications
  • Advanced experience with cloud platforms such as AWS, Azure, or GCP.
  • Advanced experience with modern data warehousing and large-scale data processing technologies such as Snowflake, Spark, or equivalent platforms.
  • Advanced proficiency in Python and SQL.
  • Advanced experience designing, developing, orchestrating, and supporting ETL/ELT pipelines and data integration solutions using tools such as dbt, Apache Airflow, Astronomer, or equivalent cloud-native data engineering technologies.
  • Advanced experience with data modeling, data warehousing, and data engineering best practices.
  • Experience designing, developing, and supporting scalable, reliable, and high-performing data engineering solutions in enterprise environments.
  • Experience collaborating with business and technology stakeholders to deliver data-driven solutions.
  • Strong analytical, problem-solving, and communication skills.

Following qualifications are a plus
  • Advanced experience with enterprise ETL/ELT tools such as DataStage, SAP BODS, SSIS, Informatica, or equivalent technologies.
  • Experience developing and supporting Operational Data Stores (ODS), analytics platforms, and data products.
  • Experience with Snowflake Cortex, Change Data Capture (CDC), streaming, and real-time data ingestion technologies including Kafka, Amazon Kinesis, Qlik Replicate, Snow pipe Streaming, or equivalent platforms.
  • Experience integrating data across AWS, on-premises, and Snowflake environments, with exposure to enterprise security, governance, and compliance frameworks.
  • Experience with Data Vault modeling and modern data warehousing methodologies.
  • Experience leading technical initiatives, mentoring team members, and promoting engineering best practices.
  • Experience within Financial Services, Banking, or other highly regulated industries.
  • Familiarity with Tableau, Power BI, or other analytics and visualization platforms.
  • Experience using AI-powered development and productivity tools to improve engineering efficiency and delivery outcomes.
  • AWS Certified Data Engineer - Associate, AWS Certified Solutions Architect - Associate or Professional, SnowPro Core Certification, SnowPro Advanced Data Engineer Certification, or equivalent cloud and data platform certifications.

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Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

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