1

Data Ops Engineer Jobs (NOW HIRING)

We're looking for a hands-on data/software engineer to build the instrumentation and event pipelines that feed campaign and journey triggers - especially where the data doesn't exist yet. You'll work ...

We're looking for a hands-on data/software engineer to build the instrumentation and event pipelines that feed campaign and journey triggers - especially where the data doesn't exist yet. You'll work ...

Title: Platform Ops Engineer Location: Any Infosys hub location (Hybrid) Duration: 6 months ... Perform Foundry platform monitoring using pipeline health, data freshness, and ontology integrity ...

We're looking for a hands-on data/software engineer to build the instrumentation and event pipelines that feed campaign and journey triggers - especially where the data doesn't exist yet. You'll work ...

Familiarity with data engineering tools (e.g., Airflow, Spark) and ML Ops frameworks. * Solid understanding of software engineering principles and DevOps practices. * Ability to communicate complex ...

We push game designs to the next level and are pioneers in data analytics and iLottery. Built on a ... The Manager, Tech Ops Engineering is responsible for the overall integrity, performance, and ...

AI Ops Engineer

Reston, VA · On-site

$72K - $97K/yr

AI Ops Engineer Location: Reston, VA (3 to 4 days onsite is must) Job Type: Contract Required ... Solid experience integrating AI agents with various data sources, including Elasticsearch, SQL and ...

AI Ops Engineer

Arlington, VA · On-site

$220K - $240K/yr

GovCIO is currently hiring an AI Ops Engineer with an active Secret clearance to implement ... Analyze operational data to identify patterns and predict failures. * Implement event correlation ...

We push game designs to the next level and are pioneers in data analytics and iLottery. Built on a ... The Manager, Tech Ops Engineering is responsible for the overall integrity, performance, and ...

Senior ML Ops Engineer

Columbus, OH · On-site

$100K - $138K/yr

Senior ML Ops Engineer Overview As a Senior ML Ops Engineer at Mimecast, you will be a technical ... Continuously monitor model performance, data drift, latency, error rates, and system health. Build ...

Senior ML Ops Engineer

Columbus, OH · On-site

$100K - $138K/yr

Senior ML Ops Engineer Overview As a Senior ML Ops Engineer at Mimecast, you will be a technical ... Continuously monitor model performance, data drift, latency, error rates, and system health. Build ...

Senior ML Ops Engineer

Columbus, OH · On-site

$148 - $222/hr

Senior ML Ops Engineer**## **Overview**As a Senior ML Ops Engineer at Mimecast, you will be a ... Continuously monitor model performance, data drift, latency, error rates, and system health. Build ...

Raft is a customer-obsessed small business focused on Distributed Data Systems and Complex Application Development, headquartered in McLean, VA. They are seeking an ML Ops Engineer to design, build ...

Showing results 41-60

Data OPS Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do data ops engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for data ops engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is a Data Ops Engineer?

Data Ops Engineers are professionals who bridge the gap between data engineering and operations. They focus on automating, monitoring, and optimizing data pipelines to ensure reliable, efficient, and secure data flow within organizations. Their responsibilities often include managing data integration, workflow orchestration, deployment of data infrastructure, and implementing best practices for data quality and governance. Data Ops Engineers work closely with data scientists, analysts, and IT teams to support data-driven decision-making and maintain high data availability. Their role is crucial in modern organizations that rely on large-scale data processing and analytics.

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

To thrive as a Data Ops Engineer, you need a solid background in data engineering, automation, and cloud infrastructure, often supported by a degree in computer science or related field. Experience with tools like Apache Airflow, Docker, Kubernetes, CI/CD pipelines, and proficiency in scripting languages such as Python or Bash is typically required. Strong problem-solving skills, attention to detail, and effective communication help you collaborate with data teams and troubleshoot complex data workflows. These skills ensure reliable data delivery, streamlined operations, and scalable solutions that support organizational data goals.

What is the difference between Data Ops Engineer vs Data Engineer?

AspectData Ops EngineerData Engineer
CredentialsCertifications in data management, cloud platforms, scriptingCertifications in data engineering, SQL, cloud services
Work EnvironmentFocus on data pipelines, automation, deployment, and monitoringFocus on data modeling, ETL processes, database design
Industry UsageUsed in organizations emphasizing data operations, automation, and DevOps practicesUsed in data-centric roles focusing on building data infrastructure

While both roles work with data infrastructure, Data Ops Engineers primarily focus on automating and managing data pipelines and deployment processes, whereas Data Engineers concentrate on designing and building data systems. The roles often overlap but differ in their core focus areas and responsibilities.

How does a Data Ops Engineer typically collaborate with data scientists and software engineers within an organization?

Data Ops Engineers play a crucial role in bridging the gap between data science and engineering teams. They ensure smooth data pipeline operations, help automate workflows, and support data scientists by providing reliable, scalable infrastructure. Collaboration often involves participating in cross-functional meetings to understand data requirements, troubleshooting data quality issues, and implementing solutions that enable efficient experimentation and model deployment. This collaborative environment helps facilitate quick iterations and reliable delivery of data products.
More about Data OPS Engineer jobs

What cities are hiring for Data Ops Engineer jobs?

Cities with the most Data Ops Engineer job openings:

What states have the most Data Ops Engineer jobs?

States with the most job openings for Data Ops Engineer jobs include:

Infographic showing various Data Ops Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Principal Marketing Data Ops Engineer II

Geico

Tampa, FL • On-site

$115K - $260K/yr

Full-time

Posted 28 days ago


GEICO rating

8.0

Company rating: 8.0 out of 10

Based on 363 frontline employees who took The Breakroom Quiz

164th of 308 rated insurance


Job description

Why Join GEICO?

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.

Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive on relentless innovation to exceed our customers' expectations while making a real impact on local communities nationwide.

Founded in 1936, GEICO is a member of the Berkshire Hathaway family of companies and one of the largest auto insurers in the United States. When you join our company, we want you to feel valued, supported, and proud to work here. That's why we offer the GEICO Pledge: Great Company, Great Culture, Great Rewards, and Great Careers.

GEICO's Independent Agent organization runs an enterprise-scale messaging automation platform that powers customer email and SMS across sales, service, and claims journeys. We're looking for a hands-on data/software engineer to build the instrumentation and event pipelines that feed campaign and journey triggers - especially where the data doesn't exist yet. You'll work directly with CRM/marketing automation engineering and campaign operations teams to make audience and event data available, reliable, and easy to use.

What you'll build

  • Instrumentation and event pipelines that generate audience/trigger data for CRM and marketing automation platforms where it doesn't already exist
  • Batch and streaming ETL/ELT pipelines connecting campaign, CRM, and customer data across multiple sources
  • REST API integrations between internal data systems and CRM/marketing automation platforms
  • Data quality checks and monitoring to keep campaign-critical pipelines reliable at scale

What you'll bring

  • 7+ years building data tools/pipelines in Python, Scala, or similar languages
  • 7+ years working in SQL against enterprise data warehouses (Snowflake, Databricks, or similar)
  • 5+ years building ETL/ELT pipelines (batch or streaming) from files, databases, and APIs
  • 5+ years working with cloud infrastructure (Azure, AWS, or GCP) and DevOps practices
  • Comfort integrating systems via REST APIs
  • BA/BS in Computer Science, Information Technology, Mathematics, Engineering, or related field

How you'll work

  • Strong organizational and prioritization skills; comfortable following complex, multi-step instructions and resolving conflicting priorities
  • Able to juggle multiple concurrent projects without losing track of details
  • Quick to pick up new technical concepts and adapt to new tools and technologies
  • Familiar with infrastructure tooling and able to work within established engineering standards and processes
  • Comfortable mentoring or training teammates on systems you own
  • Clear, concise communicator - able to explain technical work to both engineering and business stakeholders
  • Comfortable working under pressure and shifting priorities in a fast-paced environment

Nice to have

  • Hands-on experience with CRM/marketing automation SaaS platforms (e.g., Microsoft Dynamics, Statsig, Azure Data Factory, Snowflake)
  • Exposure to AI-assisted development tools

#LI-HB1


Annual Salary

$115,000.00 - $260,000.00

The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations.


At this time, GEICO will not sponsor a new applicant for employment authorization for this position.

The GEICO Pledge:

Great Company:Protecting customers through life's twists and turns with innovation and integrity.

Great Careers:Personalized development programs, mentorship, and certification assistance.

Great Culture:Inclusive and collaborative culture rooted in shared success.

Great Rewards:Competitive pay, benefits, and flexibility to support your well-being and future.

The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.

GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.


What GEICO employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


GEICO logo

About GEICO

Sourced by ZipRecruiter

GEICO is built on ingenuity, perseverance, innovation, resilience, and hard, honest work. From its humble beginnings in the midst of the Great Depression to its current place as one of the most successful companies in the nation, GEICO represents a quintessential American success story. At GEICO, we love that our associates are proud goal-seekers, and that's why we believe in celebrating their milestones and rewarding their achievements. Throughout the year we reward performance and accomplishments, host programs that recognize personal successes, and acknowledge innovation, service, and leadership.

Industry

Insurance services

Company size

10,000+ Employees

Headquarters location

Chevy Chase, MD, US

Year founded

1936