ZipRecruiter

Log In

1

Manager Data Engineering Jobs in Providence, RI (NOW HIRING)

Citizens

Sr Talend Data Engineer

Johnston, RI · Hybrid

$115K - $138K/yr

Follow change management team stipulations on path to production requirements and strictly adhere ... Data engineering experience for Data science projects where Machine learning is used (R, SAS, etc.

Citizens

Sr Talend Data Engineer

Johnston, RI · Hybrid

$115K - $138K/yr

Follow change management team stipulations on path to production requirements and strictly adhere ... Data engineering experience for Data science projects where Machine learning is used (R, SAS, etc.

Citizens

Sr Talend Data Engineer

Johnston, RI · Hybrid

$56 - $74.25/hr

Follow change management team stipulations on path to production requirements and strictly adhere ... Data engineering experience for Data science projects where Machine learning is used (R, SAS, etc.

Citizens Bank

Sr Talend Data Engineer

Johnston, RI · On-site

$56 - $74.25/hr

Follow change management team stipulations on path to production requirements and strictly adhere ... Data engineering experience for Data science projects where Machine learning is used (R, SAS, etc.

ClifyX

Data Strategy Lead

Johnston, RI · On-site

... stakeholders, data engineering, AI/ML teams, and customer experience leaders to align data ... Required : • Proven experience (5+ years) in data strategy, data management, or analytics roles ...

Citizens

Senior Data Engineer

Johnston, RI · On-site +1

$106K - $144K/yr

Infuses quality of service characteristics, including scalability, manageability, and ... Participates in code and design reviews with network, infrastructure, and solutions engineering ...

Citizens

Senior Data Engineer

Johnston, RI · On-site +1

$106K - $144K/yr

Infuses quality of service characteristics, including scalability, manageability, and ... Participates in code and design reviews with network, infrastructure, and solutions engineering ...

Bcbsri

Senior Data Visualization Analyst

Providence, RI · On-site +1

$93K - $140K/yr

The developer works closely with business stakeholders, analytics teams, and data engineering ... Support BI lifecycle management, including development, testing, validation, and promotion of ...

Ocean Spray

Sr. Manager, AI Enablement

Lakeville, MA · On-site

$128K - $160K/yr

Partner with Data Engineering, Cloud/Infrastructure, Enterprise Applications, Data Governance, and ... Support change management efforts to drive adoption of AI-enabled improvements. * Build strong ...

Ocean Spray

Sr. Manager, AI Enablement

Lakeville, MA · On-site +1

$128K - $160K/yr

Partner with Data Engineering, Cloud/Infrastructure, Enterprise Applications, Data Governance, and ... Support change management efforts to drive adoption of AI-enabled improvements. * Build strong ...

Ocean Spray

Sr. Manager, AI Enablement

Lakeville, MA · On-site +1

$128K - $160K/yr

Technical Leadership & DeliveryPartner with Data Engineering, Cloud/Infrastructure, Enterprise ... Support change management efforts to drive adoption of AI-enabled improvements.Build strong ...

Citizens

Senior Data Engineer

Johnston, RI · On-site +1

$105K - $158K/yr

This role requires a strong foundation in modern data engineering practices across cloud platforms ... Knowledge of data modeling, data governance, metadata management, and data quality practices.

previous page

Showing results 41-60

All JobsData Engineering JobsManager Data Engineering JobsManager Data Engineering Jobs in Providence, RI

Manager Data Engineering information

See Providence, RI salary details

$31.3K

$98.1K

$173.8K

How much do manager data engineering jobs pay per year?

As of Sep 2, 2026, the average yearly pay for manager data engineering in Providence, RI is $98,139.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,700.00 and $126,800.00 per year, depending on experience, location, and employer.

What are the roles and responsibilities of a manager data engineering?

A Manager Data Engineering oversees teams that design, build, and maintain data infrastructure and pipelines for organizations. They are responsible for ensuring the efficient flow and storage of data, implementing best practices in data management, and collaborating with stakeholders to meet business data needs. Additionally, they mentor and guide data engineers, manage project timelines, and ensure data security and quality standards are met. Their role often involves strategic planning to enable data-driven decision making across the company.

What are the key skills and qualifications needed to thrive as a manager data engineering?

To thrive as a Manager Data Engineering, you need expertise in data architecture, advanced analytics, and leadership, typically supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), data warehousing systems, cloud platforms (AWS, Azure), and certifications such as AWS Certified Data Analytics are highly valued. Strong communication, problem-solving, and team management skills help drive project success and foster collaboration. These skills ensure effective data solutions, alignment with business goals, and the ability to lead and grow high-performing engineering teams.

How does a manager data engineering typically collaborate with data scientists and business stakeholders?

A Manager of Data Engineering often serves as a bridge between technical teams and business stakeholders. They work closely with data scientists to ensure that data pipelines and infrastructure meet analytical needs, while also translating business requirements into actionable engineering solutions. Regular coordination meetings, clear documentation, and cross-functional projects are common, enabling seamless collaboration and alignment on goals. This role requires strong communication skills and the ability to balance technical priorities with business objectives.

What is the difference between Manager Data Engineering vs Data Engineer?

AspectManager Data EngineeringData Engineer
Required CredentialsBachelor's or Master's in CS, Data Science, or related; often leadership experienceBachelor's or higher in CS, IT, or related; technical certifications optional
Work EnvironmentTeam leadership, project management, strategic planningData pipeline development, coding, data modeling
Employer & Industry UsageTech companies, finance, healthcare, where data teams are commonData-focused roles across various industries

The main difference is that Manager Data Engineering oversees data teams and projects, focusing on strategy and leadership, while Data Engineers handle the technical implementation of data pipelines and infrastructure. Managers typically have more experience and leadership skills, whereas Data Engineers are more hands-on with coding and data architecture.

What are the most commonly searched types of Data Engineering jobs in Providence, RI?

The most popular types of Data Engineering jobs in Providence, RI are:

What are popular job titles related to Manager Data Engineering jobs in Providence, RI?

For Manager Data Engineering jobs in Providence, RI, the most frequently searched job titles are:

What job categories do people searching Manager Data Engineering jobs in Providence, RI look for?

The top searched job categories for Manager Data Engineering jobs in Providence, RI are:

Manager Data Engineering jobs near you
Infographic showing various Manager Data Engineering job openings in Providence, RI as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $98,139 per year, or $47.2 per hour.

Senior Data Engineer - Fraud Analytics

InterSources Inc

Smithfield, RI • On-site

$101K - $138K/yr

Full-time

Re-posted 8 days ago

Job description

Job Summary:
InterSources Inc is a Small, Woman, and Minority-Owned Business Enterprise with over 18 years of experience in IT Consulting Services. The Senior Data Engineer – Fraud Analytics is responsible for designing, building, and maintaining data solutions that support the research, detection, and analysis of fraud events, partnering with analysts and stakeholders to transform complex datasets into actionable insights.
Responsibilities:
• Design, develop, and optimize data pipelines to support fraud research and analytics use cases
• Research and analyze fraud events by querying and correlating structured and unstructured data across multiple platforms
• Write complex, high-performance SQL queries to extract, transform, and analyze large datasets
• Work extensively with Oracle databases to support enterprise-scale fraud analytics
• Utilize MongoDB for handling semi-structured and unstructured fraud-related data
• Investigate data anomalies, identify fraud patterns, and support root-cause analysis
• Partner with fraud operations, compliance, and analytics teams to translate business questions into technical data solutions
• Ensure data accuracy, consistency, and reliability across fraud datasets
• Document data models, logic, and findings clearly for both technical and non-technical audiences
• Communicate findings effectively through written reports, presentations, and stakeholder discussions
• Support continuous improvement of fraud detection and monitoring processes through data-driven insights
Qualifications:
Required:
• 5+ years of experience in data engineering, analytics, or a related technical role
• Advanced proficiency in SQL, including complex joins, subqueries, performance tuning, and data validation
• Strong hands-on experience with Oracle databases
• Working knowledge of MongoDB or similar NoSQL technologies
• Strong analytical and problem-solving skills with attention to detail
• Excellent written and verbal communication skills, with the ability to explain technical findings to business partners
• Ability to work independently while collaborating across cross-functional teams
Preferred:
• Experience researching fraud events, financial anomalies, risk signals, or suspicious activity
• Experience supporting fraud, risk, compliance, or financial crime analytics
• Familiarity with large-scale data environments and data warehousing concepts
• Exposure to scripting or data-processing languages such as Python
• Experience working in regulated or financial services environments
• Strong critical thinking and investigative mindset
• Ability to prioritize and manage multiple research efforts simultaneously
• Comfortable working with ambiguity and incomplete data
• Collaborative, proactive, and detail-oriented
Company:
InterSources Inc. solves operational problems where protection, performance, compliance, AI, and workforce capability must work together. Founded in 2007, the company is headquartered in Fremont, USA, with a team of 501-1000 employees. The company is currently Late Stage.
InterSources logo

About InterSources

Sourced by ZipRecruiter

In 2007, Our journey began as pioneers in the realm of technology and security. Since then, InterSources Inc. has evolved into a trusted partner, leading the way in Cloud Security, Cybersecurity, PLG Consulting, Digital Transformation, and Professional Services. With a rich history of excellence and a forward-thinking approach, we continue to secure your digital future and drive innovation. Explore our legacy of success and discover the possibilities that lie ahead.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Fremont, CA, US

Social media

Twitter

View All InterSources Jobs

Apply