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New Grad Data Engineer Jobs in Rhode Island (NOW HIRING)

Sr Talend Data Engineer

Johnston, RI · Hybrid

$56 - $74.25/hr

Here, you'll experience new things, create new opportunities, think beyond your role and make an ... Data engineering experience for Data science projects where Machine learning is used (R, SAS, etc.

Lead Data Engineer

Carolina, RI · Remote

$157K - $223K/yr

North Carolina, New Jersey. Responsible for all phases of data processing system projects, from ... Utilize programming specifications to construct modules, develop testing methods, and assists with ...

Lead Data Engineer

Carolina, RI · Remote

$157K - $223K/yr

North Carolina, New Jersey. Responsible for all phases of data processing system projects, from ... Utilize programming specifications to construct modules, develop testing methods, and assists with ...

... of new models to extract additional insights. Key Responsibilities • Lead end-to-end analytical ... data engineering and production engineering teams responsible for data engineering and ...

Showing results 21-40

New Grad Data Engineer information

See Rhode Island salary details

$43.6K

$127K

$173.8K

How much do new grad data engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for new grad data engineer in Rhode Island is $127,033.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,100.00 and $134,700.00 per year, depending on experience, location, and employer.

What is a new grad data engineer?

A New Grad Data Engineer is an entry-level role for recent graduates who focus on designing, building, and maintaining data pipelines and infrastructure. They work with databases, ETL (Extract, Transform, Load) processes, and big data technologies to ensure efficient data flow and storage. Typically, they collaborate with data scientists, analysts, and software engineers to support data-driven decision-making. This role requires knowledge of SQL, Python, and cloud platforms, along with problem-solving and analytical skills. It is an excellent opportunity to gain hands-on experience in data engineering while learning industry best practices.

What does a new grad data engineer do?

As a New Grad Data Engineer, your day often involves writing and optimizing code for data pipelines, cleaning and transforming data, and troubleshooting any issues that arise. You’ll work closely with senior data engineers, data scientists, and sometimes business stakeholders to understand data requirements and deliver reliable solutions. Many entry-level roles emphasize learning and professional growth, so you can expect regular mentorship, code reviews, and opportunities to work on small components of larger projects. Over time, you’ll take on more complex responsibilities and contribute to the overall data infrastructure of your organization.

What are the key skills and qualifications needed to thrive as a new grad data engineer?

To thrive as a New Grad Data Engineer, you need a strong grasp of programming languages like Python or SQL, a background in computer science or a related field, and an understanding of data modeling and database concepts. Familiarity with data engineering tools such as ETL pipelines, cloud platforms like AWS or Azure, and certifications in these areas can be beneficial. Strong problem-solving skills, effective communication, and a willingness to learn are valuable soft skills for this position. These abilities ensure you can effectively handle complex data tasks, collaborate with technical teams, and adapt to evolving technologies in a fast-paced environment.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. Skills in cloud platforms, data pipeline development, and tools like SQL, Python, and Apache Spark enhance job prospects in this field.

Can I get a new grad data engineer job with no experience?

Securing a new grad data engineer position without experience is possible if you have relevant skills in programming, databases, and data processing tools like SQL, Python, or Spark. Entry-level roles often focus on potential and foundational knowledge, and internships or certifications can strengthen your application.

What are popular job titles related to New Grad Data Engineer jobs in Rhode Island?

For New Grad Data Engineer jobs in Rhode Island, the most frequently searched job titles are:

What job categories do people searching New Grad Data Engineer jobs in Rhode Island look for?

The top searched job categories for New Grad Data Engineer jobs in Rhode Island are:

Infographic showing various New Grad Data Engineer job openings in Rhode Island as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $127,033 per year, or $61.1 per hour.

Sr Talend Data Engineer

Citizens

Johnston, RI • Hybrid

$56 - $74.25/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago


Job description

4 Days in the office from any of our locations in RI,  Iselin NJ, MA, Pittsburgh PA, Nashville TN, and couple other locations

Role is not relocation eligible. 

At Citizens, we're more than a bank. Here, you'll experience new things, create new opportunities, think beyond your role and make an impact!

While in this position, you will work independently while engaging in the design, model and implementation of enterprise data warehousing activities in support of projects and defect remediation process. You will also, participate in and lead segments in the programming and configuration of warehouses on database, and provide independent support to warehouse users. You will also assist with designing, implementing and supporting solutions that meet business requirements related to data warehouses, data marts or operational data stores primarily using ETL. Lastly, you will work with application architects to implement enhancements to systems and remediate existing code.

Most importantly, you'll feel valued for who you are and supported to achieve what's important to you, personally and professionally!

Primary responsibilities include

  • Be a strong contributor in implementing data integration architecture and solutions.
  • Conduct source system/data analysis and data profiling.
  • Build robust data pipelines to collect, process and compute different metrics from various financial sources, adhering to quality and development standards.
  • Design application architecture / technical design and articulate the data pipeline solutions to team members.
  • Data mapping from source to target and define transformation rules that meet the models created by data Architects.
  • Collaborate with cross functional team members as necessary and come up with optimal solutions that meet data demands.
  • Execute unit test of data populated in target data container, validate expected result and ensure quality & accuracy.
  • Coordinate with business users for user acceptance test and with operations team for code deployment to upper environments.
  • Follow change management team stipulations on path to production requirements and strictly adhere to the compliance and regulatory needs.

Qualifications, Education, Certifications and/or Other Professional Credentials

  • Required Qualifications
    • Bachelor's Degree in Analytics, Mathematics, Statistics or Computer Science
    • Hands on experience in building data solutions in big data / cloud platforms.
    • Experience with Hadoop ecosystem (HDFS, Hive, PIG, Hbase, Hiveql etc.)
    • Experienced in ETL/ELT tools such as Talend, Datastage, Informatica, and Sqoop as well as building/enhancing ETL framework.
    • RDBMS experience in either of Teradata, Oracle, MS-SQL, DB2, RedShift, Snowflakes, etc.
    • Scripting language (shell scripting, SQL, PL/SQL, Python, Java , Spark, Scala)
    • Experience with AWS cloud native services such as S3, RDS, Glue, Athena, etc.
    • Worked with any of the scheduling tools (Autosys, Tidal, Oozie)
    • SCM tool such as Bitbucket with Jira, Starteam or SVN.
    • Experience working with various operating systems (Windows, Unix/Linux, IBM Mainframe)
    • Strong communicator and collaborator with attention to details.
    • Performance tuning and optimization of code and peer code reviews.
    • 5+ years of professional work experience as described above.
  • Preferred Qualifications
    • BigData Technology/AWS/Agile Certifications
    • Data engineering experience for Data science projects where Machine learning is used (R, SAS, etc.)
    • Experience in the financial services industry, especially banking.
    • Business Intelligence/Reporting development experience using tools such as Tableau, Cognos, SAS, etc.
    • Code commits to any Open source data tools.
    • Experience with handling structured, semi-structured and unstructured data.

Hours & Work Schedule

  • Hours per Week: 40 
  • Work Schedule: Monday - Friday
  • Hybrid schedule: 4 days in office, 1 day WFH is required for this role.

    Pay Transparency 

    The salary range for this position is $ 105,100 - $ 157,680 per year plus an opportunity to earn an annual discretionary bonus. Actual pay is based on various factors including but not limited to the work location, and relevant skills and experience.   

    We offer competitive pay, comprehensive medical, dental and vision coverage, retirement benefits, maternity/paternity leave, flexible work arrangements, education reimbursement, wellness programs and more. Note, Citizens' paid time off policy exceeds the mandatory, paid sick or paid time-away policy of very local and state jurisdiction in the United States. For an overview of our benefits, visit https://jobs.citizensbank.com/benefits. 

Equal Employment Opportunity

Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague's or a dependent's reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability.

Equal Employment and Opportunity Employer

Job Applicant Data Privacy Policy

Background Check

Any offer of employment is conditioned upon the candidate successfully passing a background check, which may include initial credit, motor vehicle record, public record, prior employment verification, and criminal background checks. Results of the background check are individually reviewed based upon legal requirements imposed by our regulators and with consideration of the nature and gravity of the background history and the job offered. Any offer of employment will include further information.