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Data Dimensions Jobs in Rhode Island (NOW HIRING)

Senior Data Engineer

NC · On-site +1

$106K - $144K/yr

Own the transformation of raw, messy data into clean, well-structured datasets, including feature engineering support (e.g., creating dimensions, discretizing variables). * Product Telemetry ...

Work from weld data sheet and procedures, operation traveler, prints and oral instructions. * Use ... Check dimensions to ensure parts are within print dimensions. * Prepare parts for welding using ...

Work from weld data sheet and procedures, operation traveler, prints and oral instructions. * Use ... Check dimensions to ensure parts are within print dimensions. * Prepare parts for welding using ...

Welder

North Kingstown, RI · On-site

$26 - $28/hr

Work from weld data sheet and procedures, operation traveler, prints and oral instructions. * Use ... Check dimensions to ensure parts are within print dimensions. * Prepare parts for welding using ...

Be Seen First

... Measure dimensions to ensure quality standards or met -Align photomasks to substrates -Utilize microscopes to inspects products -Record data into appropriate logs accurately -Perform accurate ...

Shipping Lead

Woonsocket, RI · On-site

$20 - $22/hr

Advise sales of the pallet dimensions and weight. * Record the PRO/Tracking data in the freight excel spreadsheet. * Assist sales with questions and/or issues in regards to customer shipment. Notify ...

Shipping Lead

Woonsocket, RI · On-site

$20 - $22/hr

Advise sales of the pallet dimensions and weight. * Record the PRO/Tracking data in the freight excel spreadsheet. * Assist sales with questions and/or issues in regards to customer shipment. Notify ...

Shipping Lead

Woonsocket, RI · On-site

$20 - $22/hr

Advise sales of the pallet dimensions and weight. * Record the PRO/Tracking data in the freight excel spreadsheet. * Assist sales with questions and/or issues in regards to customer shipment. Notify ...

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Data Dimensions information

What are data dimensions?

Data dimensions are attributes or perspectives by which data can be categorized, organized, and analyzed. In the context of data management and analytics, dimensions such as time, geography, product, or customer allow users to slice and dice data for deeper insights. For example, a sales dataset might have dimensions like region and sales period, enabling users to analyze performance by different locations or times. Understanding data dimensions is essential for building effective reports, dashboards, and business intelligence solutions. They help transform raw data into meaningful information for decision-making.

What are the key skills and qualifications needed to thrive as a data analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in mathematics or computer science. Familiarity with data analysis tools like SQL, Excel, Python, R, and data visualization platforms such as Tableau is typically required. Excellent problem-solving, attention to detail, and effective communication skills set top performers apart in this role. These skills are essential for extracting meaningful insights from data, supporting business decisions, and clearly conveying findings to stakeholders.

What are some common challenges faced by professionals working in data dimensions roles, and how can they overcome them?

Professionals in data dimensions roles often encounter challenges related to ensuring data quality, consistency, and proper integration across multiple data sources. Managing large volumes of data and maintaining accurate dimensional hierarchies can be complex, especially in organizations with rapidly evolving datasets. To overcome these challenges, it's important to establish clear data governance practices, collaborate closely with data engineers and business analysts, and leverage robust data management tools. Continuous learning and staying updated on best practices in data modeling and warehousing also contribute to long-term success in this field.

What are popular job titles related to Data Dimensions jobs in Rhode Island?

For Data Dimensions jobs in Rhode Island, the most frequently searched job titles are:

What job categories do people searching Data Dimensions jobs in Rhode Island look for?

The top searched job categories for Data Dimensions jobs in Rhode Island are:

Infographic showing various Data Dimensions 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.

Oniste Role//Senior Enterprise Data Architect

Softsages LLC

Providence, RI • On-site

$68 - $91/hr

Other

Re-posted 24 days ago


Job description

Dear Imran,

We are delighted to reach out to you on behalf of SoftSages Technology, a rapidly expanding IT and staffing company headquartered in Malvern, PA. We take immense pride in serving critical clients across various sectors, including federal, commercial, and healthcare industries. Our commitment to excellence extends beyond just our clients, as we firmly believe that our consultants are equally vital to our success.

We are currently seeking dynamic individuals like yourself to join our diverse and inclusive team. At SoftSages, we foster an environment that promotes diversity, inclusion, and equality, valuing the unique perspectives and experiences each team member brings. As a part of our team, you will have the opportunity to work on exciting projects that drive innovation and make a positive impact.

Attached, you will find a job description for a position that aligns perfectly with your skills and expertise. If you are passionate about contributing to a vibrant, collaborative, and forward-thinking work culture, we invite you to explore this opportunity further.


Job Title: Senior Enterprise Data Architect

Location: ON SITE in Providence, RI Local Profiles Only

Duration: 6+ Months

Interview Mode: Video

Qualifications
Minimum Education and Experience
Bachelor's degree in Computer Science, Information Science, or related field, or equivalent experience.
10 or more years of experience in data architecture, data engineering, or related disciplines.
10 or more years of experience designing logical and physical data models for complex, cross-domain environments (relational, dimensional, and/or canonical).
8 or more years influencing enterprise-level technical architecture decisions.
Experience with modern ELT/ELT development patterns, data orchestration methodologies, and cloud-native architecture best practices.

Required Knowledge & Skills
Technical
Hands-on, advanced expertise with Snowflake as a cloud data platform, including advanced features (Snowpipe, Streams & Tasks, performance optimization, and governance capabilities).
Experience with modern ELT tools such as Matillion, dbt, or similar.
Strong experience with modern storage paradigms - NoSQL, data lakes, unstructured content management.
Strong experience with modern integration patterns - APIs, FHIR, event streaming, real-time data flows.
Advanced knowledge of industry-leading BI tools (such as Power BI)
Strong experience with layered/lakehouse architectures (e.g., raw/bronze, conformed/silver, curated/gold).
Strong background in designing canonical models, conformed dimensions, and large-scale data integration patterns.
Experience in healthcare or health insurance industry, especially with claims, clinical, provider, and member data.

Shawn Wood