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Remote Dataops Engineer Jobs in Arizona (NOW HIRING)

Remote Dataops Engineer information

What is the difference between Remote Dataops Engineer vs Data Engineer?

AspectRemote Dataops EngineerData Engineer
CredentialsBS in CS, Data Science, or related; certifications like AWS, GCP, or AzureSimilar credentials; often with additional database or software engineering certifications
Work EnvironmentRemote or hybrid, collaborative teams, cloud platformsRemote or on-site, data-focused teams, cloud and on-prem infrastructure
Industry UsageTech, finance, healthcare, e-commerceTech, finance, retail, telecom
Search & Comparison IntentUnderstanding roles in data operations, cloud deployment, automationFocus on data pipeline development, database management, ETL processes

The Remote Dataops Engineer and Data Engineer roles share many credentials and work environments, often overlapping in cloud and data infrastructure. However, Data Engineers typically focus more on building and maintaining data pipelines and databases, while Dataops Engineers emphasize automating deployment, monitoring, and optimizing data workflows in cloud environments.

What is a Remote DataOps Engineer?

A Remote DataOps Engineer is a technology professional who works remotely to manage, automate, and optimize data pipelines and processes within an organization. Their main goal is to streamline the flow of data between various systems, ensuring the availability, quality, and security of data for analytics and business operations. They collaborate closely with data engineers, analysts, and IT teams to develop efficient workflows, automate repetitive tasks, and monitor data infrastructure performance. By working remotely, they leverage cloud-based tools and communication platforms to support distributed teams and global data operations.

How do Remote DataOps Engineers typically collaborate with cross-functional teams to ensure smooth data pipeline operations?

Remote DataOps Engineers often work closely with data engineers, analysts, and DevOps teams using collaboration tools like Slack, Jira, and GitHub. Regular virtual meetings and documentation are essential to align on pipeline requirements, monitor data quality, and resolve issues quickly. Clear communication and proactive status updates help build trust with stakeholders and ensure that data infrastructure supports business needs efficiently, even when working remotely.

What are the key skills and qualifications needed to thrive as a Remote DataOps Engineer, and why are they important?

To thrive as a Remote DataOps Engineer, you need expertise in data engineering, automation, and pipeline management, typically backed by a degree in computer science or a related field. Familiarity with tools like Apache Airflow, Kubernetes, CI/CD systems, and cloud platforms such as AWS or Azure is highly valued, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills are crucial for managing distributed teams and complex data workflows. These skills and qualities ensure efficient, reliable, and scalable data infrastructure essential for modern data-driven organizations.
What job categories do people searching Remote Dataops Engineer jobs in Arizona look for? The top searched job categories for Remote Dataops Engineer jobs in Arizona are:
What cities in Arizona are hiring for Remote Dataops Engineer jobs? Cities in Arizona with the most Remote Dataops Engineer job openings:

Principal Data & Analytics Engineer

Iridium Satellite, LLC

Chandler, AZ • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 6 days ago


Job description

Iridium is an award-winning and innovative satellite communications company with bragging rights to the only network that offers voice and data connectivity anywhere in the world.   For over 20 years, Iridium’s unique network and services have supported critical communications needs for individuals, businesses, and the evolving Internet of Things.

At Iridium, we understand the importance of staying connected and the limitations of traditional communications networks. People across the globe, including first responders, humanitarians, global militaries, scientific researchers, and lone workers, as well as ships, aircraft and remote operations all rely on Iridium to stay connected. We take our responsibility for providing these essential communications very seriously and pride ourselves on offering a reliable lifeline when needed.  Likewise, Iridium is committed to providing an exciting and innovative workplace, where employees are challenged to think outside the box and collaborate on new, bold ideas and solutions.  Our talented teams are passionate about their work and the impact our company makes around the world.  Iridium fosters an empowering and inclusive culture that allows employees to genuinely be their best selves.   We are looking for others who want to join this truly unique company that celebrates our employees and provides the opportunity to truly make a difference in the world.


What We’re Looking For:

Iridium is seeking a Principal Data Engineer with 10+ years of experience to serve as the technical leader for our modern data platform, driving the architecture, engineering standards, and evolution of our enterprise data ecosystem. As a Principal Data Engineer, you will bridge the disciplines of data engineering and analytics engineering, transforming raw enterprise data into scalable, trusted, and business-ready data products while establishing the technical standards that underpin our modern data platform- this role bridges the gap between raw data and business-facing analytics. You will be responsible for building robust data pipelines, architecting our data warehouse layers, and creating clean, documented data/semantic models that empower the entire organization. In this role, you will also act as a technical leader, establishing standards and mentoring engineers.

What You’ll Do:
  • Use your data modeling and transformation skills to transform raw data into business ready dimensional models/star schemas, data marts and semantic models that support robust self-service Business Intelligence and AI
  • Design, build, and optimize scalable end-to-end ELT/ETL pipelines to ingest structured and unstructured data from diverse sources
  • Develop automated scheduling, monitoring, and orchestration to guarantee data freshness and pipeline reliability
  • Partner with data owners and governance stakeholders to establish data governance policies / procedures to ensure data quality and compliance, and implement robust data security measures to protect sensitive data 
  • Work closely with business stakeholders and the IT analytics team to understand data requirements, translate them into technical specifications, and collaborate with data engineers to implement data solutions
  • Communicate data platform architecture and capabilities to technical and non-technical teams
  • Assist in the development and delivery of training for data & analytic platform capabilities and content
  • Exercise technical authority over projects and provide technical leadership and mentoring to the team
  • Mentor and guide junior data engineers, fostering a culture of continuous learning and improvement

What You’ll Need to Succeed:
  • Bachelor’s degree in Engineering, Information Systems or a related field of study
  • 10+ years related experience in leading complex technical projects, DataOps, and data engineering
  • Expertise in designing data models for different data types and use cases 
  • Deep experience with relational databases, including advanced SQL skills
  • Experience with modern cloud data platforms and tools such as Snowflake, Databricks, dbt, etc.
  • Familiarity with data warehouse concepts, data lake architecture, and data analytics tools 
  • Proficiency in cloud platforms (AWS, Azure, GCP) for data storage and processing 
  • Understanding of data governance principles, data privacy regulations and best practices for data security
  • Knowledge of programming languages like Python, Java, or Scala for data processing and automation 
  • Excellent communication skills, with the ability to convey products, deliverables, analyses, and/or issues clearly and confidently, and recognize and adapt to different communication techniques
  • Familiarity with agile development processes and tools (JIRA, GIT, Confluence, etc.)
  • The ability to build meaningful relationships with others, including senior leadership outside of your own department, and comfort in providing constructive feedback to your team members and management
  • Be able to analyze a situation or problem, generate effective solutions, and see those solutions through to completion 
  • Can thrive in a dynamic environment by handling multiple tasks and managing shifting priorities 
  • Be proactive in sharing knowledge you’ve learned with others 
Things That Would be Great if You Brought to the Table:
  • Advanced degree in Engineering, Information Systems or a related field of study
  • Experience in telecommunications, ground networks, and/or satellite communications industry
  • Familiarity with agile development tools (JIRA, GIT, Confluence, etc.)
  • Strong knowledge of data engineering methodologies, DevOps/DataOps & Agile processes
We’ll also need you to:
  • Be able to travel occasionally (quarterly)
  • Be able to work a hybrid schedule that includes at least 60% of your time (3 days per week) in-office and 2 days from home 
  • Be a US Citizen

Work Environment:

This position primarily works in an office setting and is largely sedentary with the majority of the position working with a computer. The role typically requires the use of basic office equipment such as a phone, video, computer, keyboard, mouse, and printer. 

We believe in-person connection drives innovation, strengthens mentorship, and builds culture, while flexibility enables employees to do their best work. Under Iridium’s Hybrid Work Policy, employees are expected to work at least three days per week (approximately 60%) in an Iridium office to support collaboration, relationship-building, and professional growth.

 

Additional Information

This job description outlines the general nature and level of work for this role and is not a comprehensive list of duties, responsibilities, or qualifications. Employees may be assigned additional responsibilities as needed.

Base Pay Range: $140,000 - $192,000 USD

Actual compensation will be determined based on a variety of factors and this range represents an estimate of compensation at the time of posting. Base salary is only one part of our compensation package for this role. You may also be eligible for company stock and annual bonus. Employee benefits also include medical, dental, and vision insurance coverage; 401(k) retirement plan options; paid time off and paid holidays; paid parental leave; and other discounts and perks.  

Iridium is an Equal Opportunity Employer, including individuals with disabilities and protected veterans.