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

Data Lakehouse Architect

Middletown, RI · On-site

$63.50 - $81.50/hr

Ability to learn new technologies quickly. * 7+ years of experience in data engineering, data ... Master's degree in Computer Science, Data Engineering, Distributed Systems, or a related field.

Data Lakehouse Architect

Middletown, RI · On-site

$63.50 - $81.50/hr

... new technologies quickly. Preferred : • Master's degree in Computer Science, Data Engineering, Distributed Systems, or a related field. • Desired knowledge in the areas of Databases, SQL and No ...

Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Electrical ... Willingness to learn and adapt to new technologies and processes. * Prior internship or project ...

Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Electrical ... Willingness to learn and adapt to new technologies and processes. * Prior internship or project ...

NC · On-site

$176K - $225K/yr

Serves as peer leader to mentor and coach new or junior MSLs, supporting onboarding, training, and ... Critical data analysis skills * Excellent communication & presentation skills * Networking skills ...

SC

$176K - $225K/yr

Serves as peer leader to mentor and coach new or junior MSLs, supporting onboarding, training, and ... Critical data analysis skills * Excellent communication & presentation skills * Networking skills ...

Business Data Analyst III

Carolina, RI · Remote

$99K - $132K/yr

Arizona, California, Minnesota, New York, North Carolina This Business Data Analyst III position is ... Mathematics, statistics, computer science, information management Preferred Skills: * Spreadsheet ...

Business Data Analyst III

Carolina, RI · Remote

$99K - $132K/yr

Arizona, California, Minnesota, New York, North Carolina This Business Data Analyst III position is ... Mathematics, statistics, computer science, information management Preferred Skills: * Spreadsheet ...

Data Engineer II

Providence, RI

$115K - $138K/yr

... learning new technologies. What You'll Do * Design, develop, and maintain scalable ELT/ETL ... Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or ...

Data Engineer II

Providence, RI

$115K - $138K/yr

... learning new technologies. What You'll Do * Design, develop, and maintain scalable ELT/ETL ... Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or ...

TEAS Tutor

Providence, RI · Remote

$18 - $40/hr

Guides students through interpreting scientific data, converting measurement units, solving ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

Showing results 41-60

Data Science New Grad information

What is a data science new grad?

Data Science New Grad roles are entry-level positions designed for recent graduates who have completed a degree in data science, computer science, statistics, or a related field. These roles typically involve working with data to analyze trends, build predictive models, and support business decision-making. New grads are expected to have foundational knowledge in programming, statistics, and machine learning, but are not required to have extensive work experience. These roles often offer mentorship and training to help new professionals grow their technical and analytical skills. Companies hire Data Science New Grads to bring fresh perspectives and to develop future data science talent.

What types of projects can a data science new grad expect to work on during their first year?

As a Data Science New Grad, you can expect to work on a variety of projects such as cleaning and preprocessing data, developing predictive models, and assisting with data visualization and reporting. You may also collaborate closely with product managers, engineers, and senior data scientists to translate business problems into analytical solutions. Early projects often focus on building foundational skills and understanding the company’s data infrastructure, while gradually increasing in complexity as you gain experience. This hands-on exposure is designed to help you grow technically and understand how data science supports organizational goals.

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

To thrive as a Data Science New Grad, you need a strong foundation in statistics, programming (typically Python or R), and data analysis, often supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks (such as TensorFlow or scikit-learn), data visualization tools, and SQL databases is highly valued. Strong problem-solving abilities, communication skills, and curiosity help new grads stand out when interpreting data and presenting insights. These competencies are crucial for transforming complex data into actionable business solutions and collaborating effectively within multidisciplinary teams.

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

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

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

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

Infographic showing various Data Science New Grad job openings in Rhode Island as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Lakehouse Architect

SEACORP

Middletown, RI • On-site

$63.50 - $81.50/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 20 days ago


Job description

SEACORP is seeking a well-qualified Data Lakehouse Architect.
Primary Duties and Responsibilities:
Job Summary: SEACORP is seeking a Data Lakehouse Architect to lead thedesign, implementation, and evolution of a modern, tiered data platform thatsupports scalable ingestion, storage, processing, governance, and analytics. Thisposition is in support of our SWFTS Data Strategy and Data Pipelineprogram. This role will define thetarget-state architecture for a lakehouse environment built on technologiesincluding Kafka, Apache Iceberg, Amazon S3, CEPH, and Trino, while ensuring theplatform is secure, performant, reliable, and cost-effective.
The architect will partner with engineering, platform,analytics, security, and business teams to establish architectural standards,guide implementation, and enable high-quality data products across batch andstreaming domains. The ideal candidate combines deep technical expertise indistributed data systems with strong design judgment, leadership, and theability to translate business requirements into durable platform capabilities.
Job Responsibilities Include:
  • Design and document lakehouse architecture using Kafka for streaming ingestion, Iceberg for table format and data management, S3 and/or CEPH for object storage, and Trino for distributed SQL query access.
  • Define architecture for data partitioning, compaction, schema evolution, metadata management, table maintenance, and lifecycle policies.
  • Architect data ingestion frameworks for both real-time and batch workloads, including event-driven and CDC-based integration patterns.
  • Establish scalable, resilient, and secure storage patterns across cloud and on-premises or hybrid object storage environments.
  • Define governance patterns including access control, encryption, data retention, lineage, auditability, and compliance integration.
  • Partner with data engineers to optimize query performance, file sizing, partitioning strategy, and workload concurrency in Trino and related engines.
  • Lead engineering teams and review designs, code, and deployment approaches for alignment with target architecture.

Qualifications:
Education: Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field.
Required Experience: Required knowledge of Atlassian Tool Suite, Git, and Linux. Preferred knowledge in C++, Java, Python, Linux. Candidate should have the ability to work in a fast-paced work environment. Able to collaborate with others while being able to handle independent tasking. Ability to learn new technologies quickly.
  • 7+ years of experience in data engineering, data architecture, or platform architecture roles.3+ years of experience designing and implementing modern data lake or lakehouse architectures in production environments.
  • Hands-on experience with Apache Kafka for streaming data ingestion, event architecture, or real-time data integration.Hands-on experience with Apache Iceberg or a similar open table format in large-scale analytical environments.
  • Experience designing data platforms on object storage, including Amazon S3, CEPH, or equivalent S3-compatible storage systems.
  • Experience with Trino or similar distributed SQL query engines for interactive analytics over large datasets.
  • Strong understanding of distributed systems principles, including scalability, fault tolerance, consistency tradeoffs, and performance tuning. Experience with data modeling, schema design, partitioning strategy, and optimization for analytical workloads.
  • Experience with security architecture including role-based access control, encryption, and data governance controls.
  • Experience creating architecture documentation, technical standards, and implementation roadmaps. Strong knowledge of batch and streaming pipeline patterns, including CDC, event-driven design, and ingestion orchestration.

Desired Experience: Desired knowledge in the areas of Databases, SQL and No-SQL (Postgres, MongoDB), Apache Data Frameworks (Kafka, Spark, Iceberg, OpenMetadata, Ranger), Data Infrastructure (Ceph, S3, MinIO/Parquet, REST, Nessie, Druid), Data APIs (Trino, Metabase, MLLib, Superset). Desired knowledge in the areas of software prototyping, VS Code, Cursor IDE, and prompt engineering.
  • Master's degree in Computer Science, Data Engineering, Distributed Systems, or a related field.
  • Experience with Team Submarine, SWFTS, US Navy program offices, TI/APB cycle
  • Experience with metadata catalogs such as Hive Metastore, AWS Glue Catalog, Nessie, or Polaris.
  • Familiarity with data processing engines such as Spark, Flink, or dbt in lakehouse environments.
  • Experience implementing data quality, observability, and lineage tooling.
  • Experience supporting hybrid or multi-cloud data architectures.
  • Familiarity with Kubernetes-based deployment and platform operations.
    Experience with regulated data environments and compliance frameworks such as SOC 2, HIPAA, PCI-DSS, or FedRAMP.
  • Exceptional Qualifications: Candidates possessing knowledge in these technologies will be considered exceptional candidates including Kubernetes, RKE2, containerization, Helm, AI/ML APIs, SparkML, AI/ML Integration (LLM
  • Development Stack), DPCN training, PINN training, or agentic development integration.
  • Recognized expertise designing enterprise-scale lakehouse platforms using open standards and interoperable tooling.
  • Experience delivering software and systems for Team Submarine or SWFTS programs, including experience with the Submarine platform tactical systems.
  • Deep production experience with Kafka + Iceberg + Trino architectures, including performance optimization and operational scaling.
  • Experience building platforms that span cloud and on-premises object storage, especially S3 and CEPH in hybrid deployments.
  • Demonstrated success leading architecture for high-volume, low-latency, and mission-critical data ecosystems.
  • Ability to make principled architectural decisions regarding catalogs, table maintenance, file formats, compaction, and query federation.
  • Strong record of mentoring senior engineers and establishing architecture review processes and engineering standards.
  • Experience leading major data platform migrations from legacy warehouse, Hadoop, or tightly coupled ETL ecosystems to modern lakehouse architectures.
  • Ability to balance long-term architectural integrity with pragmatic delivery timelines and business value.

As a requirement of employment, all SEACORP employees must hold U.S. Citizenship
Location: Manassas, VA
Travel: Quarterly (approximately 4 times a year)
Clearance: Secret
Work Environment & Physical Demands: Office & Computer Laboratories - Sitting, standing, extended periods of time using a mouse and keyboard and viewing computer screens. Infrequent lifting of <40lbs. Movement between points within the same office or between buildings. Work is performed in generally consistent environmental conditions with some seasonality for temperature differences and lighting.
Successful candidates will enjoy competitive wages and a very rich benefit program, including:
  • Medical Benefits: Choice of two medical insurance programs through Blue Cross & Blue Shield.
  • Dental Benefits: A best in class Dental Insurance Plan through Delta Dental.
  • Vision Benefits: An excellent Vision Benefit providing discounts and allowances for prescription glasses and contact lenses.
  • Retirement Benefits: A qualified 401(k) Retirement Savings Account with a generous employer matching contribution up to 8% of your eligible compensation.
  • Life Insurance Benefits: Employer paid Life and Accidental Death & Dismemberment Insurance equal to your annual salary. Supplemental coverage is available for you and qualified family members as well as Supplemental Short-Term and Long-Term Disability Insurance.
  • Additional Benefits: Ten (10) Paid Holidays per year (including 2 floating Holidays), a generous Paid Time Off (PTO) program; Tuition Reimbursement, and Referral Bonuses.
Undersea, on the surface, or in the air, SEACORP leverages its software and engineering expertise to deliver cutting edge warfare systems.
SEACORP is a proud Equal Opportunity Employer and complies with all applicable federal, state and local fair employment practices laws. SEACORP strictly prohibits and does not tolerate discrimination against employees, applicants or any other covered persons because of race, color, religion, creed, national origin or ancestry, ethnicity, sex, gender (including gender nonconformity and status as a transgender or transsexual individual), age, sexual orientation, physical or mental disability, citizenship, past, current or prospective service in the uniformed services, genetic information, or any other characteristic protected under applicable federal, state or local law.

SEACORP logo

About SEACORP

Sourced by ZipRecruiter

Industry

Guided missile and space vehicle manufacturing

Company size

501 - 1,000 Employees

Headquarters location

Middletown, RI, US

Year founded

1981