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Senior Cloud Data Engineer Jobs (NOW HIRING)

Senior Cloud Data Engineer

Manhattan, NY · On-site +1

$116K - $158K/yr

SysMind is seeking an experienced cloud data engineer to join our team. This position will be mainly tasked with transforming data into useful data systems by developing, maintaining and testing ...

Senior Cloud Data Engineer

$108K - $147K/yr

Google Professional Cloud Architect or Cloud Data Engineer Our success over the past 20 years is rooted in our exceptional team, which thrives in a culture of collaboration, creativity, and ...

Senior Cloud Data Engineer

Charleston, WV

$98K - $133K/yr

Google Professional Cloud Architect or Cloud Data Engineer Our success over the past 20 years is rooted in our exceptional team, which thrives in a culture of collaboration, creativity, and ...

Cloud Data Engineer

Minneapolis, MN · Remote

$57 - $76.25/hr

Job Role - Cloud Data Engineer Location - Minneapolis, MN(Remote) Job Details: * Minimum of 5+ years of experience as a Cloud Data Engineer. * * Hands-on experience with Azure Cloud data tools (ADF ...

Cloud Data Engineer

Falls Church, VA · On-site

$112K - $196K/yr

Parsons is looking for a hands-on Cloud Data Engineer to join our team supporting mission-critical ... This position is open to candidates at multiple experience levels, from mid-career to senior. You ...

Showing results 21-40

Senior Cloud Data Engineer information

See salary details

$81K

$126.3K

$175K

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

As of Aug 18, 2026, the average yearly pay for senior cloud 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 is a senior cloud data engineer?

Senior Cloud Data Engineers are experienced professionals who design, build, and maintain data processing systems on cloud platforms. They are responsible for creating scalable, secure, and efficient data pipelines and ensuring data is accessible for analysis and reporting. These engineers often work with tools and services from cloud providers like AWS, Azure, or Google Cloud, and collaborate closely with data scientists, architects, and other stakeholders. Their expertise in both cloud infrastructure and data engineering allows organizations to leverage large volumes of data for business insights.

What are some common challenges faced by senior cloud data engineers when migrating on-premises data systems to the cloud?

Senior Cloud Data Engineers often encounter challenges such as ensuring data integrity and security during migration, minimizing downtime, and handling compatibility issues between legacy systems and cloud platforms. They also need to optimize data pipelines for scalability and cost-effectiveness in the new environment. Close collaboration with stakeholders from IT, security, and business units is crucial to align migration goals and manage expectations throughout the process.

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

To thrive as a Senior Cloud Data Engineer, you need advanced expertise in data engineering, cloud platforms (such as AWS, Azure, or Google Cloud), programming languages (like Python or Scala), and a strong foundation in database technologies. Proficiency with cloud-based tools (e.g., AWS Glue, Azure Data Factory), big data frameworks (such as Spark or Hadoop), and relevant certifications (like AWS Certified Data Analytics) is highly valued. Strong problem-solving skills, effective communication, and the ability to collaborate across teams help you excel in designing and optimizing complex data solutions. These skills ensure scalable, secure, and efficient data pipelines that support business analytics and innovation.

What is the difference between Senior Cloud Data Engineer vs Cloud Data Engineer?

AspectSenior Cloud Data EngineerCloud Data Engineer
Required CredentialsTypically requires 5+ years experience, advanced certifications (e.g., AWS Certified Data Analytics), and expertise in cloud platformsEntry to mid-level experience, foundational certifications, and basic cloud platform knowledge
Work EnvironmentDesigns and oversees complex data pipelines, mentors junior staff, and handles high-level architectureBuilds and maintains data pipelines, performs data integration, and supports data operations
Employer & Industry UsageUsed in large enterprises, tech companies, and data-driven organizationsCommon in startups, mid-sized companies, and organizations adopting cloud data solutions

The main difference between a Senior Cloud Data Engineer and a Cloud Data Engineer lies in experience, responsibilities, and expertise. Senior roles involve leadership, complex architecture, and mentorship, while Cloud Data Engineers focus on building and maintaining data pipelines. Both roles are essential in cloud data environments, but senior positions require more advanced skills and strategic oversight.

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What cities are hiring for Senior Cloud Data Engineer jobs?

Cities with the most Senior Cloud Data Engineer job openings:

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

The most popular types of Cloud Data Engineer jobs are:

What states have the most Senior Cloud Data Engineer jobs?

States with the most job openings for Senior Cloud Data Engineer jobs include:

Infographic showing various Senior Cloud 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 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $126,328 per year, or $60.7 per hour.

Senior Cloud Data Engineer / Modern Data Stack Focus

WebstaurantStore

Lititz, PA • On-site, Remote

$106K - $127K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 hours ago


WebstaurantStore rating

8.0

Company rating: 8.0 out of 10

Based on 63 frontline employees who took The Breakroom Quiz

120th of 419 rated retail wholesalers


Job description

Job Summary

The Enterprise BI & Analytics Team serves as the enterprise data and analytics center of excellence at WebstaurantStore. We transform billions of data points across marketing, supply chain, operations, and customer experience into trusted data foundations and actionable insights. Leveraging a modern cloud data platform, scalable ELT architecture, and automated DataOps workflows, the team empowers smarter decisions, rapid growth, and new opportunities across the business. 

As a Senior Cloud Data Engineer, you will architect and own the next generation of our modern data ingestion and integration ecosystem. You will lead the development of a unified ingestion framework into Snowflake—building scalable, automated, and high-throughput data pipelines that power analytics and data products enterprise-wide. You will play a key role in our data warehouse modernization initiative, guide our transition from SQL Server to Snowflake, mentor engineers, and help define the future state of our cloud data architecture. 

Responsibilities

Senior Cloud Data Engineers are hands-on technical leaders and trusted partners to BI developers, analytics engineers, and cross-functional teams. You will drive innovation across our ingestion layer and enable scalable, reliable, and governed data movement throughout the enterprise. 

Core Responsibilities 

Modern Data Engineering & ELT Architecture 

  • Lead the design and implementation of a standardized ELT-based ingestion framework into Snowflake. 
  • Design scalable ingestion pipelines for structured and semi-structured data from APIs, databases, cloud storage, flat files, and collaboration platforms. 
  • Build and maintain Fabric Pipelines to support cloud-native orchestration and pipeline automation. 
  • Develop reusable Python libraries and ingestion accelerators to standardize engineering practices. 
  • Implement robust monitoring, logging, and data reliability engineering practices to ensure SLA adherence. 
  • Refactor and optimize legacy ingestion processes to align with modern data stack best practices. 
  • Drive and support the migration from SQL Server to Snowflake. 

Technical Leadership 

  • Act as the lead architect for enterprise ingestion strategy, mentoring engineers and guiding technical design decisions. 
  • Champion best practices in CI/CD, version control, automated testing, and infrastructure-as-code principles within the data engineering function. 
  • Perform code reviews and enforce architectural standards. 
  • Partner with BI leadership to plan capacity, prioritize initiatives, and execute delivery roadmaps. 
  • Foster a culture of engineering ownership, accountability, and innovation. 

Strategy & Execution 

  • Collaborate with business and analytics stakeholders to translate requirements into scalable ingestion designs. 
  • Evaluate emerging tools and technologies within the modern data stack ecosystem. 
  • Contribute to long-term cloud data strategy and architectural evolution. 
  • Ensure enterprise-grade governance, security, compliance, and data quality controls. 
Physical Requirements
  • Work is performed while sitting/standing and interfacing with a personal computer.
  • Requires the ability to communicate effectively using speech, vision, and hearing.
  • Requires the regular use of hands for simple grasping and fine manipulations.
  • Requires occasional bending, squatting, crawling, climbing, and reaching.
  • Requires the ability to occasionally lift, carry, push, or pull medium weights, up to 50lbs.
Remote Work Qualifications
  • Access to a reliable and secure high-speed internet connection. Cable or fiber internet connections (at least 75mbps download/10mbps upload) are preferred, as satellite connections often cannot support the technologies used to perform day-to-day tasks.
  • Access to a home router and modem.
  • A dedicated home office space that is noise- and distraction-free. The space should have strong wireless connection or a wired Ethernet connection (wired connection is preferred, if possible).
  • A valid, physical address (apartment, suite, etc.). PO Boxes are not supported, as a physical address is required for you to receive your computer equipment.
  • The desire and ability to work and communicate with other team members via chat, webcam, etc.
  • Legal residents of one of the following states: (AK, AL, AR, AZ, CT, DE, FL, GA, IA, ID, IN, KS, KY, LA, MD, ME, MI, MN, MO, MS, MT, NC, ND, NE, NH, NM, NV, OH, OK, PA, SC, SD, TN, TX, UT, VA, VT, WI, WV, or WY). H-1B Visa Sponsorship Not Available, W2 only.
Experience
  • Bachelor’s degree in Computer Science, Engineering, Information Systems, or related discipline; or equivalent experience. 
  • 7–10 years of experience in data engineering or cloud data development roles. 
  • 5+ years of hands-on Snowflake experience, including ingestion architecture, performance optimization, and workload management. 
  • 4–6 years building pipelines using Microsoft Fabric Pipelines or comparable orchestration frameworks. 
  • 4–6 years of Python development for data automation and pipeline engineering. 
  • 5+ years of advanced SQL experience, including deep expertise in SQL Server and CDC methodologies. 
  • 5+ years operating in Agile/Scrum delivery environments. 
  • 3+ years in a technical leadership capacity within data engineering initiatives. 
  • Experience with event-based ingestion, streaming pipelines, or data contract–driven architectures. 
  • Experience with Qlik Replicate and dbt Cloud. 
  • Microsoft Azure experience. 
  • Relevant cloud or data platform certifications preferred. 
Education

This role does not require a degree. We value relevant skills and experience and alignment with our core values above all else.

Desired Traits & Skills
  • Expertise in cloud data warehouse architecture and scalable ELT frameworks. 
  • Strong command of Snowflake internals, optimization strategies, and ingestion design patterns. 
  • Advanced Python and SQL proficiency. 
  • Experience implementing data observability and pipeline reliability solutions. 
  • Deep understanding of dimensional modeling and enterprise data warehousing concepts. 
  • Proven ability to lead complex modernization initiatives. 
  • Strong stakeholder engagement and technical communication skills. 
  • Ability to thrive in a fast-paced, growth-oriented environment. 
  • Passion for building reliable, scalable, and future-ready data platforms. 
Company Overview

The foodservice professional’s premier source for restaurant equipment, supplies, and knowledge online. Our purpose is to empower and equip people to run their businesses more profitably and efficiently.

Benefits
  • Medical
  • Vision
  • Dental
  • PTO
  • Paid Maternity Leave
  • Paid Parental Leave
  • Life Insurance
  • Disability
  • Dependent Care FSA
  • 401(k) matching
  • Employee Assistance Program
  • Wellness Incentives
  • Company Discounts
  • AT&T & Verizon Discount
  • Bonus Opportunities
  • Accident Insurance
  • Critical Illness Insurance
  • Adoption Assistance
Available at HQ Locations Only
  • On-Site Fitness Centers
  • Dog-friendly Offices

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