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Remote Datastage Jobs in Rhode Island (NOW HIRING)

Senior Data Engineer

Carolina, RI · Remote

$106K - $144K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina ... Intermediate experience with enterprise ETL/ELT tools such as DataStage, SAP BODS, SSIS, ...

Senior Data Engineer

Carolina, RI · Remote

$106K - $144K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina ... Intermediate experience with enterprise ETL/ELT tools such as DataStage, SAP BODS, SSIS, ...

Lead Data Engineer

Carolina, RI · Remote

$115K - $138K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina ... Advanced experience with enterprise ETL/ELT tools such as DataStage, SAP BODS, SSIS, Informatica ...

Lead Data Engineer

Carolina, RI · Remote

$115K - $138K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina ... Advanced experience with enterprise ETL/ELT tools such as DataStage, SAP BODS, SSIS, Informatica ...

Data Engineer II

Carolina, RI · On-site +1

$115K - $138K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina ... Experience with enterprise ETL/ELT tools such as DataStage, SAP BODS, SSIS, Informatica, or ...

Data Engineer II

Carolina, RI · On-site +1

$115K - $138K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina ... Experience with enterprise ETL/ELT tools such as DataStage, SAP BODS, SSIS, Informatica, or ...

Remote Datastage information

See Rhode Island salary details

$9

$56

$127

How much do remote datastage jobs pay per hour?

As of Jul 28, 2026, the average hourly pay for remote datastage in Rhode Island is $56.45, according to ZipRecruiter salary data. Most workers in this role earn between $48.03 and $60.72 per hour, depending on experience, location, and employer.

What is a Remote Datastage job?

A Remote Datastage job involves working with IBM Datastage, an ETL (Extract, Transform, Load) tool, from a remote location. Professionals in this role design, develop, and maintain data integration solutions to support business intelligence and analytics. They collaborate with teams to extract data from various sources, transform it into meaningful formats, and load it into databases or data warehouses. Strong SQL, ETL development, and troubleshooting skills are essential for success in this position.

What are some common challenges faced by Remote Datastage professionals and how can they be managed effectively?

Remote Datastage professionals often encounter challenges such as coordinating with distributed teams, troubleshooting complex ETL issues without on-site support, and maintaining clear communication across time zones. Overcoming these challenges typically involves leveraging collaboration tools, documenting processes meticulously, and participating in regular virtual meetings to stay aligned with project goals. Staying proactive in communication and keeping up-to-date with DataStage advancements also helps in resolving technical issues efficiently. By fostering strong virtual teamwork and maintaining a disciplined work routine, remote Datastage professionals can ensure continued success and productivity in their roles.

What are the key skills and qualifications needed to thrive in the Remote Datastage position, and why are they important?

To thrive as a Remote Datastage professional, you need strong ETL development skills, experience with IBM DataStage, and a background in data integration or data warehousing, usually demonstrated by a relevant degree or equivalent experience. Familiarity with other data integration tools, SQL, and certifications such as IBM Certified Solution Developer for InfoSphere DataStage are often highly valued. Outstanding problem-solving abilities, effective communication, and self-motivation are key soft skills, especially when working independently from a remote setting. These skills ensure efficient data pipeline creation, seamless team collaboration, and reliable project delivery in a distributed work environment.

What are popular job titles related to Remote Datastage jobs in Rhode Island? For Remote Datastage jobs in Rhode Island, the most frequently searched job titles are:
What job categories do people searching Remote Datastage jobs in Rhode Island look for? The top searched job categories for Remote Datastage jobs in Rhode Island are:
Infographic showing various Remote Datastage job openings in Rhode Island as of July 2026, with employment types broken down into 5% Locum Tenens, 11% Internship, 16% As Needed, 24% Full Time, 35% Temporary, and 9% Nights. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $117,413 per year, or $56.4 per hour.
Senior Data Engineer

Senior Data Engineer

First Citizens Bank

Carolina, RI • Remote

$106K - $144K/yr

Full-time

Posted 4 days ago


First Citizens Bank rating

7.6

Company rating: 7.6 out of 10

Based on 105 frontline employees who took The Breakroom Quiz

97th 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, Florida and Texas.

We are seeking an experienced Senior Data Engineer to join our Data Platform Engineering Organizationand help build scalable cloud-based data solutions that enable analytics and data-driven decision-making across the organization.

The ideal candidate is a hands-on data engineer with expertise in cloud-based data platforms, data warehousing, ETL/ELT development, and modern data engineering practices. This individual will build and optimize scalable data pipelines, integrations, and data products utilizing AWS Services, Snowflake, dbt, Python, SQL, and related technologies.

As part of our growing Cloud Data & AI Platform organization, you will collaborate with a talented team of engineers, product partners, and business stakeholders to deliver cloud-based data solutions that support critical business initiatives. This is an opportunity to work with modern technologies, solve complex data challenges, and contribute to enterprise-scale data platforms that enable data-driven decision-making across the bank.


Responsibilities

The successful candidate will thrive in a collaborative environment, possess strong problem-solving skills, and be passionate about building reliable, scalable, and high-quality data solutions.

  • Design, develop, and support scalable data pipelines, data warehouses, and cloud-based data solutions utilizing AWS Services, Snowflake, dbt, Python, SQL, and related technologies.
  • Develop and maintain ETL/ELT processes, data integrations, and transformation frameworks supporting operational, reporting, and analytical workloads.
  • Implement and enhance data quality controls, reconciliation processes, testing frameworks, and dbt tests to ensure trusted and reliable data assets.
  • Optimize data pipeline performance and operational efficiency through monitoring, alert investigation, automation, testing, CI/CD, dashboard development, and production support activities.
  • Develop monitoring dashboards and operational metrics to improve platform visibility, reliability, and incident response.
  • Support deployment automation, release validation, and environment promotion processes to improve delivery reliability and operational efficiency.
  • Collaborate with business and technology stakeholders to understand requirements and deliver scalable data solutions that support business objectives.
  • Contribute to engineering best practices through technical discussions, peer reviews, documentation, and continuous improvement initiatives across the data engineering team
  • Leverage AI-powered development and productivity tools to improve engineering efficiency, code quality, testing, and delivery outcomes.

Qualifications

Bachelor's Degree and 4 years of experience in Data Engineering, Data Warehousing, Cloud Data Platforms, or related technology disciplines.
OR
High School Diploma or GED and 8 years of experience in Data Engineering, Data Warehousing, Cloud Data Platforms, or related technology disciplines.

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 developing and supporting ETL/ELT processes, data pipelines, and data integration solutions utilizing tools such as dbt, Apache Airflow, Astronomer or equivalent cloud-native data engineering technologies.
  • Experience with data modeling, data warehousing, and data engineering best practices.
  • Experience designing, developing, and supporting scalable and reliable 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.
Additional qualifications are a plus
  • Intermediate experience with enterprise ETL/ELT tools such as DataStage, SAP BODS, SSIS, Informatica, or equivalent technologies.
  • Intermediate experience developing and supporting Operational Data Stores (ODS), analytics platforms, and data products.
  • Intermediate experience with Change Data Capture (CDC), streaming, and real-time data ingestion technologies such as Kafka, Amazon Kinesis, Apache Flink, Qlik Replicate, Snow pipe Streaming, or equivalent platforms.
  • Intermediate experience integrating data across cloud and on-premises environments.
  • Experience with Data Vault modeling and modern data warehousing methodologies.
  • Intermediate understanding of data governance, security, compliance, and data quality management practices.
  • Experience working 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 Developer – Associate, SnowPro Core Certification, SnowPro Advanced Data Engineer Certification, or equivalent cloud and data platform certifications.

#LI-JM1

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.

Qualifications:

Bachelor's Degree and 4 years of experience in Data Engineering, Data Warehousing, Cloud Data Platforms, or related technology disciplines.
OR
High School Diploma or GED and 8 years of experience in Data Engineering, Data Warehousing, Cloud Data Platforms, or related technology disciplines.

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 developing and supporting ETL/ELT processes, data pipelines, and data integration solutions utilizing tools such as dbt, Apache Airflow, Astronomer or equivalent cloud-native data engineering technologies.
  • Experience with data modeling, data warehousing, and data engineering best practices.
  • Experience designing, developing, and supporting scalable and reliable 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.
Additional qualifications are a plus
  • Intermediate experience with enterprise ETL/ELT tools such as DataStage, SAP BODS, SSIS, Informatica, or equivalent technologies.
  • Intermediate experience developing and supporting Operational Data Stores (ODS), analytics platforms, and data products.
  • Intermediate experience with Change Data Capture (CDC), streaming, and real-time data ingestion technologies such as Kafka, Amazon Kinesis, Apache Flink, Qlik Replicate, Snow pipe Streaming, or equivalent platforms.
  • Intermediate experience integrating data across cloud and on-premises environments.
  • Experience with Data Vault modeling and modern data warehousing methodologies.
  • Intermediate understanding of data governance, security, compliance, and data quality management practices.
  • Experience working 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 Developer – Associate, SnowPro Core Certification, SnowPro Advanced Data Engineer Certification, or equivalent cloud and data platform certifications.

#LI-JM1

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.

Education:UNAVAILABLEEmployment Type: FULL_TIME

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