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Senior Dataops Engineer Jobs in Florida (NOW HIRING)

DataOps Engineer

Tampa, FL · On-site

$98K - $135K/yr

RIT Solutions, Inc. is seeking a Senior DataOps Engineer. The role involves leveraging technical skills in SQL, Python, and Snowflake to enhance data operations, along with leading a team in ...

Senior Data Analytics Engineer

Boca Raton, FL · On-site

$100K - $136K/yr

Summary: Senior Analytics Engineer We're looking for a creative and driven Senior Analytics ... Contribute to our DataOps culture by championing reliability, reproducibility, and automation ...

Data Quality Engineer

Jacksonville, FL · Remote

$106K - $127K/yr

As a senior member of the data engineering team, you will be responsible for developing scalable ... Familiarity with DevOps and DataOps practices for enterprise data platforms. * Experience ...

ABOUT YOU * 3+ years of experience in data engineering, software engineering, DataOps, or a related field; 5+ years for Senior level. * Bachelor's degree in Computer Science, Engineering, Information ...

ABOUT YOU * 3+ years of experience in data engineering, software engineering, DataOps, or a related field; 5+ years for Senior level. * Bachelor's degree in Computer Science, Engineering, Information ...

New

ABOUT YOU * 3+ years of experience in data engineering, software engineering, DataOps, or a related field; 5+ years for Senior level. * Bachelor's degree in Computer Science, Engineering, Information ...

ABOUT YOU * 3+ years of experience in data engineering, software engineering, DataOps, or a related field; 5+ years for Senior level. * Bachelor's degree in Computer Science, Engineering, Information ...

About Matia Matia (matia.io) is at the forefront of the DataOps revolution , building a unified ... Identify, target, and engage potential customers in the data and engineering space, through cold ...

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 Florida?

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

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

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

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

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

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

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

DataOps Engineer

Tampa, FL • On-site

RIT Solutions, Inc.
Recruiting and Staffing Services • 201 - 500 employees

$98K - $135K/yr

Full-time

Re-posted 27 days ago


Job description

Job Summary:
RIT Solutions, Inc. is seeking a Senior DataOps Engineer. The role involves leveraging technical skills in SQL, Python, and Snowflake to enhance data operations, along with leading a team in automation and optimization efforts.
Qualifications:
Required:
• SQL
• Python
• Snowflake - Data Engineer/DBA Admin
• Databricks
• Hands on experience in automation, optimization, and programming
• Team lead experience
Company:
Jobdiva Job Portal: https://www1.jobdiva.com/candidates/myjobs/searchjobsdone.jsp?a=xbjdnwgjodtga1y1im2g881fkkeiwd0775lbvq8yqgps8vb2q36w2vj1ga6xxork&compid=-1 Recruitment (contingency search and campus selection). Founded in 2019, the company is headquartered in Arlington, USA, with a team of 201-500 employees. The company is currently Growth Stage.