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Sr Data Engineer Jobs in Rhode Island (NOW HIRING)

Senior Data Platform Engineer

Providence, RI ยท On-site +1

$102K - $163K/yr

Engineer database platform solutions that align with enterprise security, data governance ... Provide senior-level troubleshooting and Level 3 support for complex platform incidents ...

New

Senior Data Visualization Analyst

Providence, RI ยท On-site +1

$93K - $140K/yr

The Sr Data Visualization Developer leads initiatives to design, develop, andmaintainintuitive business intelligence dashboards and selfservice analytics tools that enable business partners to ...

Senior Data Analyst

Johnston, RI ยท On-site

$86K - $109K/yr

Description Citizens Financial Group, Inc. (CFG) seeks a Senior Data Analyst for its Johnston ... Utilizing R and Python programming experience to develop predictive models and incorporate results ...

Senior Data Analyst

Johnston, RI ยท On-site

$86K - $109K/yr

Description Citizens Financial Group, Inc. (CFG) seeks a Senior Data Analyst for its Johnston ... Utilizing R and Python programming experience to develop predictive models and incorporate results ...

Senior Data Analyst

Johnston, RI ยท On-site

$86K - $109K/yr

Citizens Financial Group, Inc. (CFG) seeks a Senior Data Analyst for its Johnston, Rhode Island ... BI Developer, or a closely related position. Alternatively, employer will accept a Bachelor ...

Senior Data Analyst

Johnston, RI ยท On-site

$86K - $109K/yr

Citizens Financial Group, Inc. (CFG) seeks a Senior Data Analyst for its Johnston, Rhode Island ... Utilizing R and Python programming experience to develop predictive models and incorporate results ...

Sr Talend Data Engineer

Johnston, RI ยท Hybrid

$115K - $138K/yr

Data engineering experience for Data science projects where Machine learning is used (R, SAS, etc.) * Experience in the financial services industry, especially banking. * Business Intelligence ...

Sr Talend Data Engineer

Johnston, RI ยท Hybrid

$115K - $138K/yr

Data engineering experience for Data science projects where Machine learning is used (R, SAS, etc.) * Experience in the financial services industry, especially banking. * Business Intelligence ...

$150K/yr

Overview Corporate Tools is hiring a Senior Data Center Linux Engineerfor $150,000/year. You will ... You will work with other engineers to deliver performance and service standards and capacity ...

Sr Talend Data Engineer

Johnston, RI ยท Hybrid

$56 - $74.25/hr

Data engineering experience for Data science projects where Machine learning is used (R, SAS, etc.) * Experience in the financial services industry, especially banking. * Business Intelligence ...

Sr Talend Data Engineer

Johnston, RI ยท On-site

$56 - $74.25/hr

Data engineering experience for Data science projects where Machine learning is used (R, SAS, etc.) * Experience in the financial services industry, especially banking. * Business Intelligence ...

Partner with data science teams under leadership guidance to deliver model solutions * Create and ... Proficiency in Python, R, or similar analytical programming languages * Strong analytical and ...

Partner with data science teams under leadership guidance to deliver model solutions * Create and ... Proficiency in Python, R, or similar analytical programming languages * Strong analytical and ...

Showing results 21-40

Sr Data Engineer information

See Rhode Island salary details

$79.3K

$123.7K

$171.4K

How much do sr data engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for sr data engineer in Rhode Island is $123,715.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,800.00 and $141,000.00 per year, depending on experience, location, and employer.

What is a Sr data engineer?

Sr Data Engineers, or Senior Data Engineers, are experienced professionals responsible for designing, building, and maintaining scalable data pipelines and architectures. They work with large datasets, ensuring data quality, reliability, and accessibility for analytics and business intelligence purposes. Sr Data Engineers collaborate with data scientists, analysts, and other stakeholders to implement data solutions that support decision-making and business growth. Their expertise often includes proficiency in programming languages like Python or Java, experience with big data tools such as Hadoop or Spark, and a deep understanding of database systems.

How do Sr data engineers typically collaborate with data scientists and analysts within a project team?

Sr Data Engineers play a crucial role in bridging the gap between raw data and actionable insights. They work closely with data scientists and analysts to understand data requirements, design robust data pipelines, and ensure the reliability and scalability of data infrastructure. Regular collaboration involves translating analytical needs into technical specifications, optimizing data flow, and troubleshooting data issues. This teamwork ensures that data-driven projects progress smoothly and that the analytical team has timely access to clean, well-structured data.

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

To thrive as a Sr Data Engineer, you need expertise in data architecture, ETL processes, programming (such as Python or Scala), and a strong background in computer science or a related field. Familiarity with big data technologies like Hadoop, Spark, cloud platforms (AWS, Azure, GCP), and database management systems, along with relevant certifications, is typically required. Advanced problem-solving abilities, attention to detail, and strong collaboration skills help set top performers apart in this role. These skills and qualities ensure the efficient design, implementation, and maintenance of robust data pipelines that enable data-driven decision-making across the organization.

What is the difference between Sr Data Engineer vs Data Engineer?

AspectSr Data EngineerData Engineer
Required CredentialsBachelor's degree in CS or related field; 3+ years experience; SQL, Python, SparkBachelor's degree in CS or related field; 1-3 years experience; SQL, Python, Spark
Work EnvironmentCollaborates with data scientists, analysts; designs scalable data pipelinesBuilds and maintains data pipelines; supports data analysis
Employer & Industry UsageTech companies, finance, healthcare; used for complex data projectsStartups, enterprises; used for data collection and processing

The main difference between a Sr Data Engineer and a Data Engineer lies in experience level, responsibilities, and complexity of projects. Sr Data Engineers typically have more experience, handle more complex data architecture, and mentor junior staff, whereas Data Engineers focus on building and maintaining data pipelines. Both roles are essential in data-driven organizations, but the senior role involves greater technical leadership and strategic planning.

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

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

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

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

What cities in Rhode Island are hiring for Sr Data Engineer jobs?

Cities in Rhode Island with the most Sr Data Engineer job openings:

Infographic showing various Sr Data Engineer job openings in Rhode Island as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $123,715 per year, or $59.5 per hour.

Senior Data Platform Engineer

Bcbsri

Providence, RI โ€ข On-site, Remote

$102K - $163K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 3 days ago

New


Job description

Pay Range:

$102,300.00 - $163,700.00ย 

Please emailHR_Talent_AcquisitionTeam@bcbsri.orgif you are a candidate seeking a reasonable accommodation for the application and/or interview process.

At BCBSRI, our greatest resource is our people.

We come from varying backgrounds, different cultures, and unique experiences. We are hard-working, caring, and creative individuals who collaborate, support one another, and grow together. Passion, empathy, and understanding are at the forefront of everything we do-not just for our members, but for our employees as well.


We recognize that to do your best work, you have to be your best self.
It's why we offer flexible work arrangements that include remote and hybrid opportunities and paid time off. We provide tuition reimbursement and assist with student-loan repayment. We offer health, dental, and vision insurance as well as programs that support your mental health and well-being. We pay competitively, offer bonuses and investment plans, and are committed to growing and developing our employees.


Our culture is one of belonging.
We strive to be transparent and accountable. We believe in equipping our associates with the knowledge and resources they need to be successful. No matter where you're at in the organization, you're an integral part of our team and your input, thoughts, and ideas are valued.

Join others who value a workplace for all.
We appreciate and celebrate everything that makes us unique, from personal characteristics to past experiences. Our different perspectives strengthen us as an organization and help us better serve all Rhode Islanders.

We're dedicated to serving Rhode Islanders.
Our focus extends beyond providing access to high-quality, affordable, and equitable care. To further improve the health and well-being of our fellow Rhode Islanders, we regularly roll up our sleeves and get to work (literally) in communities all across the state-building homes, working in food pantries, revitalizing community centers, and transforming outdoor spaces for children and adults. Because we believe it is our collective responsibility to uplift our fellow Rhode Islanders when and where we can, our associates receive additional paid time to volunteer.

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Why this job matters:

Serves as a hands-on technical resource responsible for engineering, implementing, optimizing, automating, and supporting enterprise data platforms and database technologies. Accountable for translating data architecture and product roadmap requirements into scalable, secure, highly available, and operationally supportable solutions across enterprise data platforms. Partners closely with the Data Platform Operations Manager to ensure platform standards, operational best practices, security requirements, governance controls, automation practices, and support processes are consistently implemented across the data platform ecosystem. Provides senior technical leadership for complex initiatives, platform modernization efforts, cloud adoption programs, performance optimization activities, operational engineering, and Level 3 production support.

Platform scope: Microsoft SQL Server, SQL Server on Azure VM, Azure SQL Database, Azure SQL Managed Instance, PostgreSQL, EDB Postgres, Oracle databases and Oracle-based data platforms, IBM Netezza, Snowflake, Azure Data Lake, Azure Synapse Analytics, Microsoft Fabric where applicable, Azure-native data services, data integration technologies, analytical platforms, enterprise reporting and BI environments, and Salesforce Data Cloud knowledge where applicable.

What you will do:

  • Design, engineer, implement, configure, and support enterprise database and cloud data platform solutions supporting operational, analytical, reporting, and data integration workloads.
  • Partner with Data Architects to translate target-state architectures, technology roadmaps, modernization initiatives, and business requirements into implementable engineering designs and operationally sustainable solutions.
  • Lead hands-on implementation and support activities across Microsoft SQL Server, Azure SQL, PostgreSQL, Oracle, Snowflake, Azure Data Lake, Azure Synapse, Microsoft Fabric, and related enterprise data platforms.
  • Serve as a senior technical contributor supporting both project delivery and ongoing operational platform needs.
  • Develop and maintain infrastructure, platform configurations, deployment standards, automation routines, and operational processes that improve platform reliability, scalability, security, performance, and supportability.
  • Engineer database platform solutions that align with enterprise security, data governance, compliance, disaster recovery, business continuity, and operational standards.
  • Implement and maintain database security controls, authentication methods, RBAC models, service account governance, encryption capabilities, access controls, and audit requirements.
  • Design and support highly available and resilient platform architectures including backup, recovery, replication, failover, disaster recovery, and business continuity capabilities.
  • Provide senior-level troubleshooting and Level 3 support for complex platform incidents, performance issues, integration failures, data integrity concerns, security events, and critical production outages.
  • Conduct root cause analysis for recurring operational issues and implement permanent corrective actions to improve long-term platform stability.
  • Partner with the Data Platform Operations team to establish operational runbooks, monitoring standards, support procedures, escalation models, and automation opportunities.
  • Monitor and optimize database performance, query execution, storage utilization, warehouse consumption, platform scaling, indexing strategies, and workload management.
  • Support analytical platform workloads, reporting environments, Power BI integrations, ETL/ELT pipelines, data engineering solutions, and enterprise data consumption patterns.
  • Design and implement automated provisioning, environment refreshes, cloning processes, administrative workflows, monitoring integrations, and recurring operational activities.
  • Support database deployment pipelines, CI/CD processes, release activities, change management reviews, and production readiness assessments.
  • Review solution designs, data models, engineering approaches, and platform usage patterns to ensure alignment with enterprise architecture standards and best practices.
  • Participate in technology evaluations, proof-of-concepts, and emerging platform assessments to support modernization and innovation initiatives.
  • Provide technical leadership and mentoring to junior engineers, database administrators, contractors, and platform support personnel.
  • Partner with infrastructure, cloud engineering, cybersecurity, architecture, application development, analytics, and vendor teams to coordinate platform implementations and support activities.
  • Support cloud migration initiatives, platform modernization programs, database consolidation efforts, and data platform transformation projects.
  • Develop and maintain technical documentation including engineering designs, implementation guides, support procedures, platform standards, architecture diagrams, operational documentation, and knowledge-transfer materials.
  • Evaluate and recommend improvements for operational efficiency, platform architecture, automation, governance, security, performance, and cost optimization.
  • Stay current on advancements in database technologies, cloud-native data services, Snowflake capabilities, Microsoft data platforms, Oracle technologies, PostgreSQL ecosystems, Salesforce Data Cloud, and emerging data engineering practices.
  • Perform other duties as assigned.

What you need to succeed:

  • Bachelor's degree in Information Technology, Computer Science, Data Science, Information Systems, Engineering, or related field; or an equivalent combination of education and experience.
  • 5-7 years of experience supporting, engineering, administering, or developing enterprise database and data platform technologies.
  • Demonstrated hands-on experience with multiple enterprise database platforms, cloud data services, or analytical data technologies.
  • Experience designing, implementing, and supporting production-grade data platform solutions within medium to large enterprise environments.
  • Experience supporting mission-critical production systems with responsibilities spanning performance, availability, security, reliability, and incident response.
  • Strong technical knowledge of relational database platforms including Microsoft SQL Server, PostgreSQL, Oracle, and cloud-native database services.
  • Strong hands-on experience with Snowflake architecture, administration, performance tuning, security, RBAC, warehouses, storage optimization, replication, and platform automation.
  • Knowledge of modern cloud data platforms including Azure Data Lake, Azure Synapse, Azure SQL, Microsoft Fabric, and data warehouse architectures.
  • Strong understanding of database internals, query tuning, indexing strategies, partitioning, storage management, statistics management, workload optimization, and performance engineering.
  • Experience supporting enterprise-scale analytical and reporting environments.
  • Understanding of data integration patterns, ETL/ELT architectures, API integration concepts, and data movement technologies.
  • Strong knowledge of data security, governance, compliance, privacy controls, auditability requirements, and least-privilege access principles.
  • Experience designing and supporting backup, recovery, replication, disaster recovery, high-availability, and business continuity capabilities.
  • Ability to troubleshoot complex production issues affecting databases, cloud data services, reporting platforms, analytics environments, integrations, and application systems.
  • Experience working with monitoring and observability platforms including Grafana, Azure Monitor, Snowflake monitoring capabilities, and database performance tools.
  • Understanding of DevOps and DataOps principles, including source control, CI/CD pipelines, automated deployments, configuration management, and release governance.
  • Ability to automate operational tasks using scripting languages, APIs, infrastructure automation frameworks, database-native automation tools, and cloud automation capabilities.
  • Experience supporting hybrid environments containing legacy, on-premises, hosted, and cloud-native technologies.
  • Ability to interpret architecture standards and implement engineering solutions that align with strategic technology objectives.
  • Ability to identify technical risks, operational gaps, capacity constraints, performance concerns, and supportability issues while recommending practical remediation plans.
  • Strong analytical, problem-solving, troubleshooting, and decision-making skills.
  • Ability to effectively communicate with architects, engineers, DBAs, developers, product owners, project teams, business stakeholders, vendors, and technology leadership.
  • Ability to mentor technical team members and promote engineering excellence, operational discipline, documentation quality, and adoption of best practices.
  • Comfortable operating within Agile, DevOps, Waterfall, hybrid, and governance-driven delivery models.
  • Ability to balance project delivery responsibilities with operational support, production stability, and continuous improvement initiatives.

The extras:

  • Master's degree in Information Technology, Computer Science, Data Science, Engineering, Information Systems, or related field.
  • Experience working within healthcare, insurance, financial services, or other highly regulated environments.
  • Experience with Snowflake platform engineering and administration.
  • Experience with Azure Synapse Analytics, Azure Data Lake Storage, Azure SQL Database, Azure SQL Managed Instance, Azure-native data services, and Microsoft Fabric.
  • Experience with Oracle database platforms, PostgreSQL, EDB Postgres, and SQL Server administration and engineering.
  • Experience with data warehousing, dimensional modeling, data lake architectures, ELT/ETL platforms, and modern analytics ecosystems.
  • Experience with DataOps, DevOps, infrastructure-as-code, automation frameworks, CI/CD pipelines, and cloud-native operational practices.
  • Experience with Salesforce Data Cloud, customer data platforms, customer identity solutions, or enterprise data activation platforms.
  • Experience supporting enterprise reporting, analytics, Power BI, Tableau, or other BI environments.
  • Relevant certifications in Microsoft Azure, Snowflake, Oracle, PostgreSQL, SQL Server, cloud engineering, data engineering, or related technologies.
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Location:
BCBSRI is headquartered in downtown Providence, conveniently located near the train station and bus terminal. We actively support associate well-being and work/life balance and offer the following schedules, based on role:

  • In-office: onsite 5 days per week
  • Hybrid: onsite 2-4 days per week
  • Remote: onsite 0-1 days per week. Permitted to reside in the following states, pending approval from the Human Resources Department: Arizona, Connecticut, Florida, Georgia, Louisiana, Massachusetts, North Carolina, Oklahoma, Rhode Island, South Carolina, Texas, Virginia

Our culture of belonging at Blue Cross & Blue Shield of Rhode Island (BCBSRI) is at the core of all we do, and it strengthens our ability to meet the challenges of today's healthcare industry. BCBSRI is an equal opportunity employer.

The law requires an employer to post notices describing the Federal laws. Please visitwww.eeoc.gov/know-your-rights-workplace-discrimination-illegal to view the "Know Your Rights" poster.