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Data Devops Jobs (NOW HIRING)

Cloud/DevOps Engineer

Washington, DC · On-site

$59.75 - $81.75/hr

Position Title * Cloud/DevOps Engineer Position Responsibilities 100% REMOTE EST HOURS ... You'll partner closely with data scientists, machine learning engineers, and data engineers to ...

DevOps Data Engineer

Seattle, WA · On-site

$60 - $82.25/hr

Data Processing & Streaming: Utilize Apache Spark and Apache Kafka, including performance tuning ... Digital : DevOps * Digital : DevOps Continuous Integration and Continuous Delivery (CI/CD)

DevOps Engineer

Brentwood, TN

$50 - $68.25/hr

Position: DevOps Engineer The DevOps Engineer 's roles and responsibilities are multifaceted ... Collaborate with Data Engineers and Platform teams to maintain development, staging, and production ...

DevOps Engineer

Chantilly, VA · On-site

$54 - $74/hr

Job #3261 Supports software and data engineering with DevOps tools, culture, and process changes to enable rapid and stable delivery of applications and technologies. Identifies, prototypes ...

DevOps Engineer

Brentwood, TN · On-site

$50 - $68.25/hr

Position: DevOps Engineer The DevOps Engineer 's roles and responsibilities are multifaceted ... Collaborate with Data Engineers and Platform teams to maintain development, staging, and production ...

DevOps Engineer

Boston, MA · On-site

$57.25 - $78.25/hr

This role is ideal for a technology professional with a strong passion for data, automation, and modern DevOps practices who thrives in sophisticated, high-impact environments. The successful ...

DevOps Engineer

Herndon, VA

$54.25 - $74.25/hr

The DevOps Engineer will leverage their technical background to help deliver automation and big data analytics for the IC community. You will be trained in DevOps and work alongside a collaborative ...

DevOps Engineer

Boston, MA · Hybrid

$57.25 - $78.50/hr

This role is ideal for a technology professional with a strong passion for data, automation, and modern DevOps practices who thrives in sophisticated, high-impact environments. The successful ...

DevOps Engineer

Herndon, VA

$54.25 - $74.25/hr

The DevOps Engineer will leverage their technical background to help deliver automation and big data analytics for the IC community. You will be trained in DevOps and work alongside a collaborative ...

The DevOps Developer will perform DevOps tasks to help maintain and optimize our CI/CD pipeline and ... Data Engineers. Responsibilities include but are not limited to: * Deploying and provisioning AWS ...

The DevOps Developer will perform DevOps tasks to help maintain and optimize our CI/CD pipeline and ... Data Engineers. Responsibilities include but are not limited to: * Deploying and provisioning AWS ...

The DevOps Developer will perform DevOps tasks to help maintain and optimize our CI/CD pipeline and ... Data Engineers. Responsibilities include but are not limited to: * Deploying and provisioning AWS ...

DevOps Engineer

Herndon, VA · On-site

$54.25 - $74.25/hr

The DevOps Engineer will leverage their technical background to help deliver automation and big data analytics for the IC community. You will be trained in DevOps and work alongside a collaborative ...

Verisk is seeking a Level 2 Data Developer to contribute to the design, development, and operation of data pipelines and data services that support nextgeneration products for the life and annuity ...

Java/Big Data Developer

New York, NY · On-site

$55.75 - $72.25/hr

Java/Big Data Developer Location: NYC, NY, 2 Bryant Park 3 step iv process 1 hour virtual coding ... DevOps model and solutions like Ansible is a plus · Team player with excellent interpersonal ...

DevOps Engineer

Tucson, AZ · On-site +1

$50 - $65/hr

Process data from AWS IoT Core, moving it through S3 buckets for reporting and analysis. * Create and manage dashboards and visualizations using Grafana and AWS QuickSight. * Work with various data ...

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Data Devops information

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$16

$60

$86

How much do data devops jobs pay per hour?

As of May 31, 2026, the average hourly pay for data devops in the United States is $60.53, according to ZipRecruiter salary data. Most workers in this role earn between $50.72 and $69.47 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data DevOps professional, and why are they important?

To thrive as a Data DevOps professional, you need a solid background in data engineering, automation, and cloud infrastructure, often supported by a degree in computer science or a related field. Familiarity with tools like Jenkins, Docker, Kubernetes, Terraform, and cloud platforms such as AWS, Azure, or GCP is typically required, alongside experience with CI/CD pipelines and data pipeline orchestration systems like Airflow. Strong problem-solving skills, collaboration, and effective communication help you bridge the gap between data engineering and operations teams. These skills ensure efficient, reliable, and scalable data systems that support organizational analytics and business goals.

How does a Data DevOps professional typically collaborate with data engineers and data scientists on projects?

As a Data DevOps professional, you play a crucial role in bridging the gap between data engineering, data science, and operations teams. You’ll work closely with data engineers to automate data pipelines, ensure continuous integration and deployment, and maintain robust data infrastructure. Collaboration with data scientists often involves streamlining model deployment, monitoring data workflows, and troubleshooting issues to ensure that analytical solutions can be quickly and reliably put into production. Strong communication skills and a proactive approach to problem-solving are key for fostering effective teamwork across these disciplines.

What are Data DevOps professionals?

Data DevOps professionals are specialists who bridge the gap between data engineering and DevOps practices. They focus on automating, optimizing, and managing data pipelines, infrastructure, and workflows to ensure reliable and scalable data delivery. Their responsibilities often include integrating data tools with CI/CD processes, maintaining data security, and enabling collaboration between data teams and operations. By applying DevOps principles to data platforms, they help organizations deliver data-driven solutions more efficiently and with higher quality.

What is the difference between Data Devops vs Data Engineer?

AspectData DevopsData Engineer
CredentialsCertifications in cloud platforms, Devops tools, scriptingData management, SQL, cloud certifications
Work EnvironmentCollaborates with Devops, IT, and data teams; focuses on deployment pipelinesBuilds data pipelines, manages databases, and data architecture
Employer & Industry UsageTech companies, data-driven organizations, cloud providersFinancial, healthcare, tech industries, data-centric firms

Data Devops and Data Engineers share overlapping skills in cloud and scripting but differ in focus. Data Devops emphasizes deployment, automation, and infrastructure for data systems, while Data Engineers concentrate on building and maintaining data pipelines and storage solutions. Both roles are vital in modern data ecosystems, often collaborating to ensure efficient data workflows.

More about Data Devops jobs
What cities are hiring for Data Devops jobs? Cities with the most Data Devops job openings:
What states have the most Data Devops jobs? States with the most job openings for Data Devops jobs include:
Infographic showing various Data Devops job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 38% Physical, 53% Hybrid, and 9% Remote job distribution, with an average salary of $125,908 per year, or $60.5 per hour.
IT Data Developer

$81K - $116K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Tempur Sealy rating

7.4

Company rating: 7.4 out of 10

Based on 36 frontline employees who took The Breakroom Quiz

268th of 512 rated manufacturers


Job description

Tempur Sealy. Iconic brands. Storied history. Industry-leading innovation.
Tempur Sealy is committed to improving the sleep of more people, every night, all around the world. As a leading designer, manufacturer, distributor, and retailer of bedding products worldwide, we know how crucial a good night of sleep is to overall health and wellness. Utilizing over a century of knowledge and industry-leading innovation, we deliver award-winning products that provide breakthrough sleep solutions to consumers in over 100 countries. Our highly recognized brands include Tempur-Pedic®, Sealy® and Stearns & Foster®. We hire people who have a passion for helping others find their best night's sleep. No matter what stage of your career, you can build your future at Tempur Sealy!
We are seeking a Data Developer to design, build, and support modern data pipelines and data warehouse/lakehouse solutions. This role focuses on SQL-centric development across Microsoft Azure, Microsoft Fabric, and Snowflake, enabling trusted analytics and reporting for the business. The Data Developer will collaborate with data architects, BI developers, and business stakeholders to deliver high-quality, well-governed datasets that scale
Salary Range: $81,000 - $116,000
Essential Duties & Responsibilities
  • Develop and maintain ETL/ELT pipelines using Azure Data Factory and/or Fabric Data Factory to ingest data from databases, files, APIs, and SaaS
  • Build and optimize curated data layers in Microsoft Fabric (OneLake, Lakehouse, Warehouse) and Snowflake following modern patterns (e.g., Bronze/Silver/Gold)
  • Write, tune, and troubleshoot advanced SQL for transformations, validations, and analytics workloads
  • Design and maintain dimensional data models (facts/dimensions) to support BI and self-service analytics (Power BI or similar)
  • Monitor and improve data quality, reliability, and performance, including incremental loads and cost optimization
  • Apply security and governance best practices (RBAC, controlled data access, basic lineage/metadata documentation)
  • Collaborate in an Agile environment, using DevOps, Git and work-tracking tools to deliver well-documented, production-ready solutions

Technical Qualifications (Required)
  • Bachelor's degree in Computer Engineering or Computer Science or Equivalent Work Experience.
  • 3-6 years of experience in data development or data engineering
  • Strong SQL skills with experience creating and maintaining databases objects (Tables, Views, Stored Procedures, Indexes & Functions), optimizing queries and data transformations
  • Hands-on experience with Azure data services (ADF, Azure SQL, ADLS, Synapse and/or Fabric)
  • Working experience with Microsoft Fabric (Lakehouse, Warehouse, OneLake, or notebooks)
  • Hands-on experience with Snowflake as a data warehouse
  • Solid understanding of data warehousing concepts, ETL/ELT, and dimensional modeling
  • Experience using Git and following basic CI/CD or structured deployment practices

Preferred / Nice to Have
  • Experience integrating data from Microsoft ERP platforms, especially Dynamics 365 Finance & Operations (D365 F&O) or related exports/data lake patterns
  • Python or PySpark for data transformations or automation
  • dbt or comparable transformation frameworks
  • Experience with data governance tools (e.g., Microsoft Purview)
  • Snowflake certifications or Microsoft Azure/Fabric certifications (DP-203, DP-600)

What Success Looks Like
  • Reliable, well-documented pipelines running in production
  • Performant, trusted datasets used by BI and reporting teams
  • Reduced data issues through strong SQL, validation, and modeling practices
  • Effective collaboration with business and technical partners

Tempur Sealy is proud to be an Equal Employment Opportunity and Affirmative Action employer. We provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type based upon race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

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