ZipRecruiter

Log In

1

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

Mondo

Data Platform Tech Lead

Fall River, MA · Remote

$130K - $150K/yr

... Engineer, Reporting Analyst) while remaining hands-on each sprint * Own the full data lifecycle: extract data from APIs, files, SaaS applications, and on-prem systems; build and manage ETL/ELT ...

Tiger Analytics Inc.

Data Architect

Johnston, RI · On-site

$64.75 - $83.25/hr

... engineering teams to translate business needs into scalable, well‑governed data models. * Ensure consistent application of data governance, metadata management, and lineage standards across data ...

Tiger Analytics Inc.

Data Architect

Johnston, RI · Remote

$64.75 - $83.25/hr

... engineering teams to translate business needs into scalable, wellgoverned data models. * Ensure consistent application of data governance, metadata management, and lineage standards across data ...

Bcbsri

Data Warehousing Analyst

Providence, RI · On-site +1

$83K - $124K/yr

Experience with system analysis, data engineering, or equivalent, with project management and SDLC experience * Advanced analytical skills, with the ability to interpret and synthesize complex ...

SEACORP

Data Lakehouse Architect

Middletown, RI

$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 ...

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 Aug 6, 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 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?

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 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.

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 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 85% Full Time, 14% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $98,139 per year, or $47.2 per hour.

Data Platform Tech Lead

Mondo

Fall River, MA • Remote

$130K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 15 days ago

Job description

Apply now: Data Platform Tech Lead, location is Remote (Hybrid once a month in Fall River, MA). The start date is ASAP for this permanent position.

Job Title: Data Platform Tech LeadLocation-Type: Remote (must reside within driving distance of Fall River, MA for ~once-monthly onsite collaboration)Start Date Is: ASAPDuration: PermanentCompensation Range: $130,000 - $150,000 5% annual bonusBenefits: Eligible for Health, Dental, Vision, 401K, PTOMust be authorized to work in the U.S.

Job Description:

Our client, a leading food manufacturer based in Massachusetts, is seeking a Data Platform Tech Lead to own the technical direction of their modern data platform. This individual will lead a team of three (Senior Data Engineer, Analytics Engineer, and Reporting Analyst) while remaining hands-on, taking technical stories each sprint, and driving the end-to-end data lifecycle — from ingestion through modeling to reporting. The ideal candidate has deep experience with Snowflake, Matillion, and dbt, along with ERP integration experience, ideally with Sage X3, and a background in manufacturing, supply chain, or similar operational environments.

Job Summary:

  • Lead and mentor a team of three (Senior Data Engineer, Analytics Engineer, Reporting Analyst) while remaining hands-on each sprint
  • Own the full data lifecycle: extract data from APIs, files, SaaS applications, and on-prem systems; build and manage ETL/ELT pipelines; ingest, cleanse, transform, and model data; deliver reporting and dashboards
  • Integrate data from the company's ERP (Sage X3) and numerous business-owned applications, bringing together sales, finance, inventory, manufacturing, supply-chain, and operational data
  • Manage and enhance the modern data stack: Snowflake, Matillion, dbt, Power BI, and Python
  • Design scalable architecture and reusable data models aligned with business needs
  • Support the potential evolution/migration of portions of the environment to Microsoft Fabric
  • Work closely with nontechnical business stakeholders to translate business needs into technical solutions
  • Conduct code reviews, establish best practices, troubleshoot pipeline issues, and improve documentation/testing
  • Partner with the OT/manufacturing technology team
  • Turn manual processes into scalable, automated data solutions

Minimum Requirements:

  • 5-7 years of experience in data engineering, data platforms, analytics engineering, or data integration
  • Proven end-to-end data experience — not someone who has only done reporting or only maintained pipelines
  • Advanced SQL and strong cloud data warehouse experience (Snowflake or highly comparable)
  • Hands-on experience with ETL/ELT tools and building scalable pipelines
  • dbt experience strongly preferred
  • Experience building data models across complex business domains (Finance, Operations, Supply Chain)
  • ERP integration experience; Sage X3 experience ideal
  • Manufacturing, supply-chain, inventory, or distribution industry experience
  • Experience leading or mentoring technical team members while remaining hands-on
  • Strong communication skills with the ability to work with nontechnical stakeholders
  • Stable tenure or credible explanations for career transitions
  • Ability to work remotely while attending the Massachusetts office approximately once per month

Preferred Qualifications:

  • Direct Matillion experience
  • Power BI or Tableau experience
  • Python experience
  • Microsoft Fabric experience
  • Experience migrating from on-prem SQL Server environments to a cloud data warehouse
  • Experience partnering with OT or plant/manufacturing technology teams
  • Formal management experience (one-on-ones, performance reviews, employee development)
  • Agile development, automated testing, CI/CD, and version-control experience