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Senior Dataops Engineer Jobs in Kentucky (NOW HIRING)

$125K - $130K/yr

... DataOps platform powered by Apache Airflow ® . Astro accelerates building reliable data products ... As an Airflow Reliability Engineer on the Customer Reliability Engineering (CRE) team at Astronomer ...

$125K - $130K/yr

... DataOps platform powered by Apache Airflow ® . Astro accelerates building reliable data products ... As an Airflow Reliability Engineer on the Customer Reliability Engineering (CRE) team at Astronomer ...

... DataOps platform powered by Apache Airflow ® . Astro accelerates building reliable data products ... Collaborate with marketing, sales engineering, and product to ensure a smooth handoff and long-term ...

... DataOps platform powered by Apache Airflow ® . Astro accelerates building reliable data products ... This role reports to the Senior Manager of Service Delivery and primarily supports customers ...

You will join a small senior team supporting a data science group of about ten. The work is a ... Experience: 7+ years in MLOps, DataOps, data engineering, or platform operations. * Production ...

Showing results 21-25

Senior Dataops Engineer information

What is a senior DataOps engineer?

Senior DataOps Engineers are experienced professionals who design, implement, and manage data pipelines and workflows to ensure reliable, efficient, and scalable data operations within an organization. They bridge the gap between data engineering, DevOps, and analytics by automating data integration, deployment, and monitoring processes. Their role often includes optimizing data infrastructure, ensuring data quality, and enabling data teams to quickly deliver insights. Senior DataOps Engineers also mentor junior team members and help define best practices for data operations.

What are some common challenges a senior DataOps engineer faces when scaling data infrastructure for a growing organization?

A Senior DataOps Engineer often encounters challenges such as ensuring data pipeline reliability during rapid scaling, managing increasing data volume and complexity, and maintaining high data quality across distributed environments. Balancing automation with flexibility, integrating new tools with legacy systems, and coordinating with cross-functional teams (like data scientists and DevOps) are also key hurdles. Success in this role requires proactively identifying bottlenecks, optimizing workflows, and fostering a culture of collaboration to support evolving business needs.

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

To thrive as a Senior DataOps Engineer, you need a solid background in data engineering, automation, CI/CD pipelines, and strong knowledge of data architecture, usually supported by a degree in computer science or a related field. Expertise in tools like Apache Airflow, Kubernetes, Docker, cloud platforms (AWS, Azure, or GCP), and proficiency with scripting languages such as Python or Bash are typically required, along with certifications like AWS Certified Solutions Architect or Google Cloud Data Engineer. Outstanding problem-solving skills, collaboration, and effective communication are essential soft skills for integrating diverse teams and managing complex workflows. These capabilities ensure data reliability, streamlined operations, and scalable solutions in dynamic data-driven environments.

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

AspectSenior Dataops EngineerData Engineer
CredentialsTypically requires experience with cloud platforms, scripting, and data pipeline toolsRequires knowledge of database systems, SQL, and data modeling
Work EnvironmentFocuses on deployment, automation, and maintaining data infrastructureDesigns and builds data pipelines and storage solutions
Industry UsageCommon in organizations emphasizing data operations and automationWidespread across industries for data storage and processing

The main difference is that Senior Dataops Engineers focus on managing and automating data workflows and infrastructure, while Data Engineers primarily design and build data pipelines and storage systems. Both roles require strong technical skills, but their focus areas differ within the data ecosystem.

What are popular job titles related to Senior Dataops Engineer jobs in Kentucky?

For Senior Dataops Engineer jobs in Kentucky, the most frequently searched job titles are:

What job categories do people searching Senior Dataops Engineer jobs in Kentucky look for?

The top searched job categories for Senior Dataops Engineer jobs in Kentucky are:

What cities in Kentucky are hiring for Senior Dataops Engineer jobs?

Cities in Kentucky with the most Senior Dataops Engineer job openings:

Infographic showing various Senior Dataops Engineer job openings in Kentucky as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

Customer Reliability Engineer - Airflow

On-site

$125K - $130K/yr

Other

Posted 27 days ago


Key responsibilities

  • Provide Apache Airflow expertise to customers to help them optimize their use of Astronomer's managed Airflow service.

  • Solve challenging Airflow problems for customers, including configuration optimization and bug identification.

  • Own the customer experience by prioritizing and resolving issues, meeting SLAs, and offering guidance on production deployment.


Job description

Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life and is the company behind Astro, the industry-leading unified DataOps platform powered by Apache Airflow®. Astro accelerates building reliable data products that unlock insights, unleash AI value, and powers data-driven applications. Trusted by more than 800 of the world's leading enterprises, Astronomer lets businesses do more with their data. To learn more, visit www.astronomer.io.

About this role:

As an Airflow Reliability Engineer on the Customer Reliability Engineering (CRE) team at Astronomer, you will have the opportunity to become an Apache Airflow expert, learning directly from leaders of the Airflow project. You’ll provide Apache Airflow expertise directly to customers to help them make the best possible use of our managed Airflow service.

CRE is Astronomer’s support team. Because our customers are sophisticated organizations who need and expect high levels of expertise to help them keep mission critical uses of Apache Airflow working consistently, we look a little different from most support teams. Nearly every ticket you will work requires an intersection of strong technical knowledge and customer empathy to understand what the customer needs and how to get them there. Every day is a new challenge and a new thing to learn.

When you learn a new piece of technology, are you aiming not just to get started but to become the expert? Do you listen to the plumber when they tell you what is wrong with the pipes? Are you the kind of person who takes an MIT OpenCourseWare course and actually finishes it? Then this role could be for you.

What you get to do:
  • Learn and build expertise across several software engineering disciplines, including:

  • Airflow and data engineering

  • Kubernetes

  • Cloud Engineering

  • Gain exposure to the big picture; learn about product, engineering, customer relationship management, and more.

  • Solve challenging Airflow problems for our customers. From optimizing configuration to identifying world-first Airflow bugs, you’ll see it all here.

  • Spend up to 20% of your time on side projects that contribute to Astronomer’s overall success, such as contributing to the open-source Airflow repository or developing Astronomer’s internal monitoring and alerting systems built on Airflow.

  • Work on a modern, sophisticated, cloud-native product that customers use to connect to dozens of other systems. Gain depth and breadth of learning!

  • Work directly with our customers’ data engineers, system admins, DevOps teams, and management.

  • Provide feedback from your experience that can shape the direction of the Airflow project.

  • Own the customer experience, working directly with customers to prioritize and solve issues, meet SLAs, and provide “white glove” guidance on the path to production.

  • Participate remotely within a fully distributed team.

  • Help maintain 24x7 coverage through a specified 6-hour pager period during your work day.

  • Participate in paid on-call rotation for weekend coverage.

What you bring to the role:
  • Data Engineering background

  • 4 years of experience with Python

  • 1 year of experience in Airflow administration and DAG creation

  • Experience with Kubernetes/Docker/Containers

  • Experience working with a distributed system with any major cloud provider (AWS, GCP, Azure)

  • Problem-solving and troubleshooting abilities

  • Ability to work well with autonomy and independence

  • Strong written and verbal communication for connecting with our customers over our ticketing system and through Zoom

  • Experience mentoring junior team members

Bonus points if you have:
  • Contributions to open-source projects

  • Customer Support experience

  • Familiarity with SQL and PostgreSQL

  • Experience with Databricks, Snowflake, Redshift, dbt, or other similar data engineering tools

The estimated total compensation for this role ranges from $125,000 - $130,000 based on leveling and geography, along with an equity component and a comprehensive benefits package. This range is merely an estimate; actual compensation may deviate from this range based on skills, experience, and qualifications.

#LI-Fulltime

#LI-Remote

At Astronomer, we value diversity. We are an equal opportunity employer: we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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