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Manager Data Engineering Jobs in Rhode Island (NOW HIRING)

Experience managing or mentoring engineering teams in Agile delivery environments * Familiarity ... Certifications in Big Data, AWS, Streaming Technologies, or Agile methodologies preferred ...

Principal Data Engineer

Johnston, RI · Hybrid

$150K - $180K/yr

... management, user acceptance testing, and operational handoffs Required Skills and Experience 8+ years of experience in data engineering and architecture Strong hands-on experience with Apache Spark ...

Data Engineer 1

Providence, RI · On-site

$80K - $96K/yr

... engineering projects through development of SQL workflows, reporting solutions, data ... This is a hybrid role that combines analytics, reporting, and technical data management ...

Microsoft Fabric Data Engineer

Pawtucket, RI

$111K - $133K/yr

Mentor junior team members and establish data engineering best practices * Collaborate with ... Quality Management : Experience with quality control data, inspection processes, and compliance ...

Data Lakehouse Architect

Middletown, RI · On-site

$63.50 - $81.50/hr

The architect will partner with engineering, platform,analytics, security, and business teams to ... Define architecture for data partitioning, compaction, schema evolution, metadata management, table ...

Data Lakehouse Architect

Middletown, RI · On-site

$63.50 - $81.50/hr

The architect will partner with engineering, platform,analytics, security, and business teams to ... Define architecture for data partitioning, compaction, schema evolution, metadata management, table ...

Sr. Data Engineer

Woonsocket, RI · On-site +1

$109K - $185K/yr

Master's degree (or foreign equivalent) in Computer Science, Computer Engineering, Information Technology, Information Systems Management, Data Analytics, or a related field and two (2) years of ...

Data Engineer

Woonsocket, RI · On-site +1

$130K - $144K/yr

... engineering problems and develop, build and manage large-scale data structures, pipelines and efficient Extract/Load/Transform (ETL) workflows to address complex problems and support business ...

Data Engineer

Woonsocket, RI · On-site +1

$130K - $144K/yr

... engineering problems and develop, build and manage large-scale data structures, pipelines and efficient Extract/Load/Transform (ETL) workflows to address complex problems and support business ...

Data Engineer

Woonsocket, RI · On-site +1

$130K - $144K/yr

Master's degree (or foreign equivalent) in Computer Science, Data Science, Management Information Systems, Business Analytics Mathematics, Statistics, Engineering or a related field and two (2) years ...

Data Engineer

Woonsocket, RI · On-site +1

$130K - $144K/yr

Master's degree (or foreign equivalent) in Computer Science, Data Science, Management Information Systems, Business Analytics Mathematics, Statistics, Engineering or a related field and two (2) years ...

Data Lakehouse Architect

Middletown, RI · On-site

$63.50 - $81.50/hr

... management, S3 and/or CEPH for object storage, and Trino for distributed SQL query access. • ... Required : • Bachelor's degree in Computer Science, Engineering, Information Systems, or a ...

Data Engineer

Woonsocket, RI · On-site +1

$179K/yr

... engineering problems and develop, build and manage large-scale data structures, pipelines, and efficient Extract/Load/Transform (ETL) workflows to address complex problems and support business ...

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Showing results 1-20

Manager Data Engineering information

See Rhode Island salary details

$30.4K

$95.1K

$168.4K

How much do manager data engineering jobs pay per year?

As of Jun 26, 2026, the average yearly pay for manager data engineering in Rhode Island is $95,135.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,600.00 and $122,900.00 per year, depending on experience, location, and employer.

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 key skills and qualifications needed to thrive as a Manager Data Engineering, and why are they important?

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.

What are Manager Data Engineering roles and responsibilities?

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.

How does a Manager of 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 are the most commonly searched types of Data Engineering jobs in Rhode Island? The most popular types of Data Engineering jobs in Rhode Island are:
What are popular job titles related to Manager Data Engineering jobs in Rhode Island? For Manager Data Engineering jobs in Rhode Island, the most frequently searched job titles are:
What job categories do people searching Manager Data Engineering jobs in Rhode Island look for? The top searched job categories for Manager Data Engineering jobs in Rhode Island are:
What cities in Rhode Island are hiring for Manager Data Engineering jobs? Cities in Rhode Island with the most Manager Data Engineering job openings:
Infographic showing various Manager Data Engineering job openings in Rhode Island as of June 2026, with employment types broken down into 78% Full Time, 19% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $95,135 per year, or $45.7 per hour.
Solution Engineering Manager- Financial Data Repository

Solution Engineering Manager- Financial Data Repository

Citizens

Johnston, RI • Hybrid

Other

Posted 18 days ago


Job description

Description

Job Summary

We are seeking a Solution Engineering Manager to lead engineering efforts supporting the Finance Data Repository (FDR), the enterprise data backbone powering Treasury, Finance, and Regulatory analytics.

This role combines strategic leadership, technical expertise, and deep financial domain knowledge to deliver scalable, regulatory-compliant, and AI-enabled data solutions. The ideal candidate will bridge Finance stakeholders and engineering teams, ensuring solutions align with enterprise objectives while meeting regulatory standards.

You will oversee end-to-end solution delivery-from requirements gathering through architecture, engineering, AI enablement, and production support-while also mentoring and developing a high-performing team.


Key ResponsibilitiesData Architecture & Financial Engineering
  • Establish authoritative enterprise data models for financial and regulatory reporting
  • Align Finance data domains to support analytics, reporting, and AI-driven decisioning
  • Translate financial concepts into scalable data models and engineering solutions
  • Design and build data pipelines across Finance, Treasury, Insurance, and Tax
  • Develop governed semantic layers supporting KPI consistency, feature reuse, and NLP/NLQ access
AI & Intelligent Analytics Enablement
  • Enable AI use cases including:
    • Natural Language Query (NLQ) / Conversational Analytics
    • ML-driven data quality monitoring and anomaly detection
    • RAG pipelines for document intelligence (regulatory docs, contracts)
    • AI-ready feature engineering and governance
    • Agentic workflows for automation and reconciliation
  • Partner with GenAI and AI Excellence teams to align with enterprise AI roadmap
Team Leadership & Development
  • Lead and mentor data and solution engineering teams
  • Foster a culture of technical excellence and continuous improvement
  • Manage resource allocation, capacity planning, and workload prioritization
  • Upskill team on AI/ML engineering (LLMs, embeddings, vector search, feature stores)
Delivery & Platform Engineering
  • Oversee end-to-end design, build, and support of the FDR platform
  • Manage delivery timelines and cross-functional workstreams
  • Lead integration with:
    • Treasury systems (QRM)
    • BI tools (Power BI, Tableau)
    • AI/ML platforms and LLM frameworks
  • Drive modernization to cloud-native and automated architectures
  • Build API-driven and event-based integrations
Regulatory, Controls & Governance
  • Deliver regulatory-grade datasets for internal and external reporting
  • Implement data lineage, reconciliation, and validation frameworks
  • Ensure compliance with SOX, RDAR, and audit requirements
  • Establish monitoring for data quality, anomaly detection, and traceability
  • Ensure AI outputs are explainable, auditable, and compliant
Stakeholder Engagement & Process Improvement
  • Partner with Finance, Treasury, Tax, and Technology teams
  • Present solutions to senior leadership and regulatory stakeholders
  • Support vendor evaluations and solution demonstrations
  • Continuously improve engineering processes and tools
  • Stay current on industry trends, AI/ML advancements, and data platforms

QualificationsEducation
  • Bachelor's degree in Engineering, Computer Science, Finance, or related field
Experience
  • 10+ years in data engineering, platform engineering, or financial systems integration
  • 5+ years in a leadership role managing engineering teams
  • Proven experience delivering complex financial data platforms in regulated environments
  • 2+ years hands-on experience with AI/ML engineering or data science infrastructure

Technical SkillsCore Technologies
  • Snowflake, Spark, Microservices
  • Data pipelines (ETL/ELT) and cloud data platforms
  • Enterprise data architecture (data lake curated consumption layers)
AI/ML & Data Science
  • LLM orchestration frameworks (e.g., LangChain)
  • Vector databases (FAISS, Pinecone)
  • ML-based anomaly detection and data quality frameworks
  • Semantic data layer design for AI/ML and NLQ
  • Cloud AI platforms (AWS Bedrock, Azure OpenAI)
Financial Systems
  • Experience with Treasury platforms (e.g., QRM)

Finance & Treasury Domain Knowledge
  • ALM, FTP, liquidity management, cash flow modeling
  • Interest rate risk (yield curves, repricing, spreads)
  • Regulatory reporting and capital frameworks (RWA, Economic Capital)
  • FR 2052a and liquidity stress testing
  • Financial instruments (loans, deposits, derivatives, securities)

Leadership & Soft Skills
  • Strong communication skills with ability to translate technical and financial concepts
  • Proven ability to manage multiple priorities and projects
  • Experience collaborating across Finance, Risk, Technology, and Data teams
  • Strong analytical and problem-solving capabilities

Work Schedule
  • Hours: 40 per week
  • Schedule: Monday - Friday
  • Work Model: Hybrid (4 days onsite, 1 day remote)

Some job boards have started using jobseeker-reported data to estimate salary ranges for roles. If you apply and qualify for this role, a recruiter will discuss accurate pay guidance.

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.

Education:Why Work for UsEmployment Type: 1ST