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Senior Dataops Engineer Jobs in Kentucky (NOW HIRING)

$120 - $160/hr

Leveraging a **modern data stack**, scalable cloud technologies, and innovative DataOps practices ... Senior BI Engineer**, you will architect and own the next generation of our enterprise data ...

$125 - $130/hr

... 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 ...

$125 - $130/hr

... 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 ...

$130 - $140/hr

... 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 ...

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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 the most commonly searched types of Dataops Engineer jobs in Kentucky?

The most popular types of Dataops Engineer jobs in Kentucky are:

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.

$120 - $160/hr

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Job description

# Senior BI Engineer, Data## Lititz, PA## Job Description## Job SummaryThe **Enterprise BI & Analytics Team** is the central hub of analytics and data engineering 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 data stack**, scalable cloud technologies, and innovative DataOps practices, the team empowers smarter decisions, rapid growth, and new opportunities across the business.As a **Senior BI Engineer**, you will architect and own the next generation of our enterprise data ingestion ecosystem. You will lead the creation of a unified ingestion framework into Snowflake—building scalable, repeatable, and high performance patterns that power analytics and data products across the organization. You will guide our transition from SQL Server to Snowflake, mentor engineers, establish engineering best practices, and collaborate closely with stakeholders to deliver reliable, enterprise grade data solutions.### 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, and WY).We only accept W-2 candidates, H-1B sponsorship is not available.## Responsibilities**Senior BI Engineers are technical leaders and trusted partners** to BI developers, analysts, and cross functional teams. You will shape the future of our data platform by driving ingestion architecture, building modern pipelines, and enabling high impact engineering capabilities across the business.Key areas of ownership include:**Data Engineering & Architecture*** Lead the design, development, and implementation of a standardized data ingestion framework into Snowflake.* Architect scalable, secure, and reusable ingestion patterns for diverse data sources, including APIs, databases, cloud storage, flat files, and SharePoint.* Build and maintain Fabric Pipelines to support enterprise grade data movement and orchestration.* Develop Python based ingestion utilities, automation scripts, and reusable components.* Establish best practices for ingestion performance, error handling, logging, and monitoring.* Analyze existing ingestion processes and drive modernization, consolidation, and optimization efforts.* Support and guide the organization through the transition from SQL Server to Snowflake.**Leadership & Team Enablement*** Serve as the technical lead for data ingestion initiatives, providing direction, mentorship, and oversight to BI developers.* Delegate work effectively and coach team members on ingestion patterns, frameworks, and best practices.* Conduct code reviews, provide architectural guidance, and ensure adherence to engineering standards.* Collaborate with BI Managers to align resources, timelines, and priorities.* Promote a culture of knowledge sharing, continuous improvement, and engineering excellence.**Planning, Analysis & Delivery*** Partner with analysts and business stakeholders to understand ingestion requirements and translate them into scalable technical solutions.* Lead the planning, design, and analysis of ingestion workflows and data engineering projects.* Evaluate new data sources and determine optimal ingestion strategies.* Contribute to long term architectural roadmaps and data platform strategy.* Ensure solutions meet enterprise standards for data quality, governance, and security.**Agile / Scrum Responsibilities*** Lead or actively participate in Agile ceremonies including standups, grooming, sprint planning, and retrospectives.* Collaborate with product owners, analysts, and developers to refine and prioritize the backlog.* Track team progress, identify risks, and remove blockers to maintain delivery momentum.* Communicate status, challenges, and dependencies to BI Managers and stakeholders.### 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.## Qualifications### Experience* Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field; or equivalent professional experience.* **7–10 years** of professional experience in data engineering.* **5+ years** of hands-on experience with Snowflake, including ingestion, transformation, optimization, and platform performance tuning.* **4–6 years** of experience building data pipelines using **Microsoft Fabric Pipelines** or equivalent orchestration tools.* **4–6 years** of professional **Python** experience focused on automation, ingestion utilities, and framework development.* **5+ years** of enterprise SQL experience, including advanced SQL Server work and **hands-on Change Data Capture (CDC)** implementation and support.* **5+ years** of experience working in **Agile/Scrum** environments.* **3+ years** of experience leading data engineering initiatives or serving as a technical lead on ingestion projects.* Experience working with **event sourcing** or **data contract–driven ingestion patterns**.* Experience using **Qlik Replicate** for data movement and replication.* Experience using **dbt Cloud** for ELT transformation and orchestration.* Microsoft Azure experience* Certifications in **dbt Cloud, Snowflake**, or **Microsoft Fabric** preferred but not required.### EducationThis role does not require a degree. We value relevant skills and experience and alignment with our core values above all else.### Desired Traits & Skills* Deep expertise in building and maintaining data ingestion pipelines across diverse platforms.* Strong proficiency with Snowflake architecture, Snowflake ingestion patterns, and SQL.* Advanced Python skills for automation, ingestion utilities, and framework development.* Hands-on experience with Microsoft Fabric Pipelines or similar orchestration tools.* Strong understanding of data modeling, data warehousing, and ETL/ELT best practices.* Ability to lead technical initiatives, mentor team members, and influence engineering direction.* Strong analytical and problem solving skills with the ability to design scalable solutions.* Excellent communication skills, capable of translating complex technical concepts for nontechnical audiences.* Ability to manage multiple priorities in a fast paced environment.* High degree of adaptability, emotional intelligence, and collaborative mindset.* Customer focused approach with a commitment to delivering high quality solutions.Apply to this JobA technology company selling restaurant supplies and equipment.Is this job perfect for you?Apply to this JobRecommendhttps://www.webstaurantstore.com/careers/department/marketing/47211/102723/Interviews are scheduled via email, and job offers will always follow a face-to-face interview (either via Microsoft Teams or in-person). Email communications will originate from an @webstaurantstore.com email address or another Clark Companies domain. If you have questions or concerns about the legitimacy of an interview or job offer, please reach out to us at JobOfferQuestions@webstaurantstore.comWebstaurantStore provides equal employment opportunity without regard to race, color, sex, age, handicap, religion, national origin, marital status, sexual orientation, physical disability or veteran status. Reasonable accommodations will be made to qualified individuals who are covered under the Americans with Disabilities Act (ADA). This applies to all areas of employment, recruitment, hiring, training and development, promotion, transfer, termination, layoff, compensation, and all other conditions and privileges of employment in accordance with applicable federal, state, and local laws. We are fully committed to this concept and to obtaining the cooperation and understanding of this effort by all our employees. #J-18808-Ljbffr

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