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Volunteer Senior Data Engineer Jobs (NOW HIRING)

Senior Data Engineer

Miami, FL · On-site

$101K - $137K/yr

The Senior Data Engineer is responsible for delivering, managing, and operating scalable trusted data products and platforms that enable trusted analytics, AI/ML, and Generative AI use cases. The ...

Senior Data Engineer

Manhattan, NY · On-site

$115K - $157K/yr

Senior Data Engineer II Level: IC4 Employment Type: Full-time Focus: Data Platform, Pipeline Architecture, Analytics Engineering, Data Infrastructure, AI-Enabled Data Workflows About Our Client Our ...

Senior Data Engineer Location: Preference will be given to candidates located in Atlanta, GA or the ... voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity ...

Senior Data Engineer

Evanston, IL · On-site

$101K - $138K/yr

The Senior Data Engineer will design, develop, and scale enterprise data infrastructure that ... We also provide employees with paid time off, including vacation, holiday, sick, and volunteer days.

Senior Data Engineer

Manhattan, NY · On-site

$115K - $157K/yr

Senior Data Engineer II Level: IC4 Employment Type: Full-time Focus: Data Platform, Pipeline Architecture, Analytics Engineering, Data Infrastructure, AI-Enabled Data Workflows About Our Client Our ...

Senior Data Engineer Location: Preference will be given to candidates located in Atlanta, GA or the ... voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity ...

Senior Data Engineer Location: Preference will be given to candidates located in Atlanta, GA or the ... voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity ...

Senior Data Engineer

$108K - $147K/yr

We have a contract opportunity for Senior Data Engineer ( Remote) with one of our clients. Detailed s is provided below. Title: Senior Data Engineer : Microsoft Fabric Duration: 9+ Months Work ...

Senior Data Engineer

Manhattan, NY · On-site

$115K - $157K/yr

Senior Data Engineer II Level: IC4 Employment Type: Full-time Focus: Data Platform, Pipeline Architecture, Analytics Engineering, Data Infrastructure, AI-Enabled Data Workflows About Our Client Our ...

Senior Data Engineer LOCATION: Fort Eustis / Hybrid (3 days per week onsite) CLEARANCE: Secret or TS ABOUT US: Soliel is an innovative, premium engineering company specializing in providing ...

Senior Data Engineer

Austin, TX · On-site

$105K - $142K/yr

The Senior Data Engineer contributes to the Enterprise Applications, Data, and AI Platforms group, designing scalable Microsoft Fabric data platforms. Responsibilities include establishing ...

Senior Data Engineer

$108K - $147K/yr

Senior Data Engineer Location: Worldwide (Remote/Hybrid) Senior Data Engineer About CINC Systems CINC Systems is the leading provider of accounting and management software for the community ...

Senior Data Engineer

Dallas, TX · On-site

$120K - $140K/yr

Senior Data Engineer Location: Coppell, TX Salary Range: $120K-$140K We are looking to bring on a Senior Data Engineer to our team due to growth. What we need is someone who comes 8+ years of ...

Senior Data Engineer

Dallas, TX · On-site

$120K - $140K/yr

Senior Data Engineer Location: Coppell, TX Salary Range: $120K-$140K We are looking to bring on a Senior Data Engineer to our team due to growth. What we need is someone who comes 8+ years of ...

Showing results 21-40

Volunteer Senior Data Engineer information

See salary details

$81K

$126.3K

$175K

How much do volunteer senior data engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for volunteer senior data engineer in the United States is $126,328.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,000.00 and $144,000.00 per year, depending on experience, location, and employer.

What are the most commonly searched types of Volunteer Data Engineer jobs?

The most popular types of Volunteer Data Engineer jobs are:

What are popular job titles related to Volunteer Senior Data Engineer jobs?

For Volunteer Senior Data Engineer jobs, the most frequently searched job titles are:

Infographic showing various Volunteer Senior Data Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $126,328 per year, or $60.7 per hour.

Senior Data Engineer

Miami, FL • On-site

$101K - $137K/yr

Full-time

Re-posted 11 days ago


Key responsibilities

  • Designs and develops scalable data pipelines, data load processes, and frameworks to automate data ingestion, processing, and delivery of structured and unstructured data.

  • Develops reusable data products and curated datasets, and implements modern ELT and distributed data processing patterns.

  • Performs performance tuning of ETL processes, monitors data loads, troubleshoots data issues, and supports data quality and reliability improvements.


Royal Caribbean Group rating

8.7

Company rating: 8.7 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

1st of 9 rated cruise lines


Job description

Journey with us! Combine your career goals and sense of adventure by joining our exciting team of employees. Royal Caribbean Group is pleased to offer a competitive compensation and benefits package, and excellent career development opportunities, each offering unique ways to explore the world.
The Royal Caribbean Group's Analytics Team has an exciting career opportunity for a full-time Senior Data Engineer reporting to the Sr Manager , Data Solutions Engineer
The position is onsite and based in Miramar, Florida.
Position Summary:
The Senior Data Engineer is responsible for delivering, managing, and operating scalable trusted data products and platforms that enable trusted analytics, AI/ML, and Generative AI use cases. The Senior Data Engineer is also responsible for leading the task of curating datasets and data pipelines created by various business departments, data scientists, and other technology teams. The Senior Data Engineer will also be responsible for using innovative and modern tools, techniques and architectures to automate the most common, repeatable and tedious data preparation and integration tasks to minimize manual and error-prone processes and improve productivity. The Senior Data Engineer develops and improves standards and procedures to support quality development, testing, and production support. The Senior Data Engineer will also act as an innovation catalyst-rapidly prototyping new approaches (i.e. automation, metadata-driven pipelines, and AI-enabled data experiences) and turning the best ideas into production-grade capabilities.
Essential Duties and Responsibilities:
  • Designs and develops durable, flexible, and scalable data pipelines, data load processes and frameworks to automate the ingestion, processing and delivery of both structured and unstructured batch and real-time streaming data.
  • Develop reusable data products and curated datasets aligned to enterprise domains.
  • Implement modern ELT and distributed data processing patterns.
  • Conduct performance tuning of ETL processes for large volumes of data, develop and oversee monitoring systems to ensure data loads complete on schedule and data is accurate.
  • Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues.
  • Identifies ways to improve data reliability, efficiency and quality.
  • Creates and maintains technical design documentation.
  • Assists with requirements gathering.
  • Enable AI/ML and GenAI: Deliver governed training/inference datasets and feature foundations; partner with ML/AI engineers on data access patterns that support ML pipelines and production ML deployments
  • Identify opportunities to simplify architectures, automate manual processes, improve developer experience, and evaluate new tools/techniques through controlled prototypes
  • Participates in planning, applies design patterns, and performs code reviews.
  • Follows standards, processes and methodologies to develop each phase of data architecture (e.g. data manipulating processes, database technology generating processes).
  • Mentor junior engineers, raise the bar on best practices, and lead technical initiatives across teams and provides guidance.
  • Helps resolve issues regarding the implementation of data architecture components.
  • Applies DevOps principles to data pipelines to improve the cost, communication, integration, reuse and automation
  • Responsible for production support, including analyzing root cause and developing fixes to restore ETL and data operational readiness, planning and coordinating maintenance, conducting audits and validating jobs and data.
  • Position requires on-call and off-hours support.

Qualifications, Knowledge and Skills:
  • Bachelor or Master of Science in Engineering, Computer Science, Information Technology or equivalent
  • 6+ years of experience in Data Warehouse design and data modeling patterns (relational and dimensional)
  • 6+ years of experience with ETL tool development such as Talend or ADF
  • Must have strong analytical skills for effective problem solving
  • Ability to work independently, handle multiple tasks simultaneously and adapt quickly to change with a variety of people and work styles.
  • Must be capable of fully articulating concisely technical concepts to non-technical audiences.
  • Hands-on experience with at least one major cloud (AWS/Azure/GCP) and one warehouse/lakehouse technology (e.g., Snowflake, BigQuery, Redshift, Databricks/Lakehouse)
  • Strong proficiency in Python and/or Java/Scala; ability to build maintainable services and libraries
  • Experience with GitHub Copilot and Databricks Assistant a plus
  • Experience building or operating streaming pipelines using Kafka/Kinesis/Pub/Sub
  • Experience with Spark (or equivalent) and a workflow orchestrator (e.g., Airflow) plus familiarity with CI/CD and automated testing
  • Experience partnering with data science/ML teams, supplying training-ready datasets/features, and designing data products that support ML in production

Knowledge and Skills:
  • Strong ability to design, build and manage data pipelines for data structures encompassing data transformation, data models, schemas, metadata and workload management.
  • Strong experience with popular database programming languages including SQL, PL/SQL, T-SQL, others for relational databases
  • Strong experience in one of the following tools: ADF or Talend
  • Strong experience with relational SQL (Oracle, MSSQL, MySQL) and NoSQL databases such as Couchbase
  • Strong experience with various Data Management architectures like Data Warehouse, Data Lake and the supporting processes like Data Integration, Governance, Metadata Management
  • Strong experience in working with large, heterogeneous datasets in building and optimizing data pipelines, pipeline architectures and integrated datasets using traditional data integration technologies. These should include [ETL/ELT, data replication/CDC, message-oriented data movement] and data ingestion and integration technologies such as stream data integration, and data virtualization.
  • Strong experience in working with and optimizing existing ETL processes and data integration and data preparation flows and helping to move them in production
  • Strong experience writing and optimizing advanced SQL queries in a business environment with large-scale, complex datasets
  • Strong experience of data warehousing and data lake best practices within the industry
  • Experience with cloud data platforms such as Databricks, Snowflake, BigQuery, or Redshift.
  • Strong experience and hands-on experience with scripting languages: Python, Scala, Java, etc ...
  • Working knowledge of relational and dimensional data modeling patterns.
  • Working knowledge of the essential elements of data architecture, platforms and products.
  • Working knowledge to build and launch new data models
  • Nice to have: Experience with unstructured document ingestion, chunking, embeddings, vector databases, and retrieval patterns
  • Addresses stakeholder concerns by utilizing business data modeling, including data entities, attributes and their relationships.

We know there's a lot to consider. As you go through the application process, our recruiters will be glad to provide guidance, and more relevant details to answer any additional questions. Thank you again for your interest in Royal Caribbean Group. We'll hope to see you onboard soon!
It is the policy of the Company to ensure equal employment and promotion opportunity to qualified candidates without discrimination or harassment on the basis of race, color, religion, sex, age, national origin, disability, sexual orientation, sexuality, gender identity or expression, marital status, or any other characteristic protected by law. Royal Caribbean Group and each of its subsidiaries prohibit and will not tolerate discrimination or harassment.
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