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Data Ops Manager Jobs (NOW HIRING)

SAIC

Data Ops Engineer VFDE

San Diego, CA · On-site +1

$200K - $240K/yr

Support the incident management process to ensure that incidents are documented and resolved quickly. Perform root cause analysis to understand and * prevent repeated occurrences of data outages.

Purple Drive

Mongo DBA

Sunnyvale, CA · On-site

$60.50 - $82/hr

... data, monitoring, analyzing, and tuning MongoDB. • In-depth knowledge of Ops Manager and Ops manager Upgrade. • Knowledge about Groups and Project in Ops Manager • Knowledge about ...

Instrumentl

Marketing Ops Manager

Concord, NC · Remote

About the role: We're hiring a Marketing Ops Manager, reporting to the Revenue Operations Lead, to ... You'll architect our marketing data model within our CRM, integrate new data sources, and implement ...

Hp

Revenue Ops Manager

Spring, TX · Remote

$150K - $200K/yr

Revenue Ops Manager Description - Job Summary This role is responsible for overseeing the ... Analysis Data Management Data Modeling Data Quality Data Science Data Visualization Data ...

Ross

Engineer I

Dublin, CA · On-site

$99K - $130K/yr

... ops and others to build insightful, scalable, and robust data pipelines that feed our various ... Design, build and manage data objects across the data analytics platform * Develop and deploy ...

Hp

Revenue Ops Manager

Palo Alto, CA · Remote

$150K - $200K/yr

Revenue Ops Manager Description - Job Summary This role is responsible for overseeing the ... Analysis Data Management Data Modeling Data Quality Data Science Data Visualization Data ...

Instrumentl

Marketing Ops Manager

About the role: We're hiring a Marketing Ops Manager, reporting to the Revenue Operations Lead, to ... You'll architect our marketing data model within our CRM, integrate new data sources, and implement ...

TopDog Law

Pre-Litigation Case Manager Team Lead

$90K - $120K/yr

Surface operational gaps and improvement ideas to the Pre-Lit Case Manager Ops Manager * Be comfortable building or pulling reports independently - data literacy is a core expectation of this role ...

Nastech Global

Mongo DBA

Sunnyvale, CA · On-site

$59.50 - $81/hr

... data, monitoring, analyzing, and tuning MongoDB. • In-depth knowledge of Ops Manager and Ops manager Upgrade. • Knowledge about Groups and Project in Ops Manager • Knowledge about ...

Prophecy Technologies

MongoDB Engineer

Hartford, CT · On-site

$115K - $138K/yr

... data solutions. The role focuses on schema design, performance tuning, API development, and ... Work with MongoDB Ops Manager and MongoDB Atlas fundamentals * Monitor and profile queries to ...

Ross Stores

Engineer I

Dublin, CA

$99K - $130K/yr

... ops and others to build insightful, scalable, and robust data pipelines that feed our various ... Design, build and manage data objects across the data analytics platform * Develop and deploy ...

PIP Global

Chemical Plant Ops Manager

Clover, SC · On-site

Chemical Plant Ops Manager Location: Clover, South Carolina As a Chemical Plant Operations Manager ... Ability to analyze data, identify trends, and implement corrective actions. * Experience with ...

Ross Stores

Engineer I

Dublin, CA · On-site

$99K - $130K/yr

Hands on DevOps/Data Ops experience required Experience working in an Agile Environment preferred ... Management Perks and Benefits of joining our team.. Our Associates are at the heart of everything ...

INNERGY

CX Ops Manager

Austin, TX · On-site +1

The Revenue Operations Manager owns the systems, data, and processes that connect Sales, Marketing ... Hands-on customer success ops experience: health scoring, onboarding metrics, renewal workflows ...

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Data Ops Manager information

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$31K

$97.1K

$172K

How much do data ops manager jobs pay per year?

As of Jun 25, 2026, the average yearly pay for data ops manager in the United States is $97,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $125,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Data Ops Managers, and how can they be addressed?

Data Ops Managers often encounter challenges such as coordinating across multiple teams, ensuring data quality, and managing fast-evolving data pipelines. Success in this role requires strong communication skills to align stakeholders, robust processes for monitoring data workflows, and the ability to quickly troubleshoot issues when data delivery is disrupted. Adopting automation tools and fostering a culture of continuous improvement can help Data Ops Managers maintain reliable, scalable systems while supporting organizational data needs.

What does a data operations manager do?

A data operations manager oversees the processes and systems that manage an organization’s data, ensuring data quality, security, and accessibility. They coordinate data workflows, implement data governance policies, and often work with tools like data pipelines and databases to support analytics and decision-making.

What are Data Ops Managers?

Data Ops Managers are professionals responsible for overseeing the processes, tools, and teams involved in managing and optimizing data operations within an organization. They ensure the smooth flow, quality, and accessibility of data across various platforms and departments. Their role often includes automating data pipelines, implementing data governance practices, and collaborating with data engineers, analysts, and business stakeholders to support data-driven decision making.

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

To excel as a Data Ops Manager, you need a deep understanding of data management, analytics workflows, and process automation, often supported by a degree in computer science or a related field. Familiarity with tools like SQL, Python, cloud platforms (AWS, Azure), and orchestration systems such as Apache Airflow is typically required, along with certifications in data management or cloud services. Strong leadership, problem-solving, and communication skills help coordinate cross-functional teams and drive data initiatives. These competencies are crucial for ensuring data reliability, optimizing data pipelines, and enabling data-driven decision-making across the organization.

What job makes $10,000 a month without a degree?

A Data Ops Manager can potentially earn $10,000 or more per month through experience and expertise in data management, automation, and cloud platforms. High-paying roles in data management often require strong technical skills, certifications, and experience rather than formal degrees. Other jobs like sales, real estate, or entrepreneurship can also reach this income level without a degree, depending on performance and opportunities.

What jobs make $1,000,000 a year?

In the field of Data Operations, senior roles such as Director of Data Operations or Chief Data Officer can reach or exceed $1,000,000 annually, especially in large organizations or with significant bonuses and stock options. These positions typically require extensive experience, advanced skills in data management, and leadership capabilities. Compensation varies widely based on company size, industry, and geographic location.

What jobs pay 500,000 a year in the US?

High-paying roles such as senior executives, specialized surgeons, and successful entrepreneurs can earn $500,000 or more annually. In the tech industry, roles like Data Ops Managers with extensive experience, leadership responsibilities, and advanced skills in data management and automation may reach or exceed this level, especially with bonuses and stock options.

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

AspectData Ops ManagerData Engineer
Primary FocusOversees data operations, workflows, and process optimizationBuilds, constructs, and maintains data pipelines and infrastructure
Required SkillsData management, process improvement, team coordinationProgramming, database systems, ETL development
CertificationsData management, cloud certifications often preferredSQL, cloud platform certifications, programming languages
Work EnvironmentCollaborates with data teams, operations, and business unitsWorks closely with data scientists, analysts, and developers

While both roles involve working with data, the Data Ops Manager focuses on managing data workflows and operational efficiency, whereas the Data Engineer concentrates on building and maintaining data infrastructure. Understanding these differences helps in choosing the right career path or hiring the appropriate professional for your data needs.

More about Data Ops Manager jobs
What cities are hiring for Data Ops Manager jobs? Cities with the most Data Ops Manager job openings:
What are the most commonly searched types of Data Ops jobs? The most popular types of Data Ops jobs are:
What states have the most Data Ops Manager jobs? States with the most job openings for Data Ops Manager jobs include:
What job categories do people searching Data Ops Manager jobs look for? The top searched job categories for Data Ops Manager jobs are:
Data Ops Manager jobs near you
Infographic showing various Data Ops Manager job openings in the United States as of June 2026, with employment types broken down into 84% Full Time, 15% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $97,145 per year, or $46.7 per hour.
Data Ops Engineer VFDE

Data Ops Engineer VFDE

SAIC

San Diego, CA • On-site, Remote

$200K - $240K/yr

Full-time

Posted 17 days ago

SAIC rating

7.8

Company rating: 7.8 out of 10

Based on 78 frontline employees who took The Breakroom Quiz

69th of 204 rated it services

Job description

Job ID: 2612348

Location: San Diego, CA, US

Date Posted: 2026-05-08

Category: Engineering and Sciences

Subcategory: Systems Engineer

Schedule: Full-Time

Shift: Day Job

Travel: Yes - 10% of the time

Minimum Clearance Required: TS.SCI

Clearance Level Must Be Able to Obtain: None

Potential for Remote Work: ORA_ON_SITE


Description

We are seeking a Data Operations Engineer to design, build, and maintain real-time data ingestion pipelines. In this role, you will be responsible for the reliable flow of streaming data from a wide range of sources into our data platform, ensuring data quality, observability, and scalability. You'll partner closely with data engineers, platform engineers, and analytics teams to deliver trustworthy, low-latency data that supports operational decisions.  This position is on-site in San Diego, CA.Aid the team in delivering continual data feeds to users and monitoring the status of the health of data quality and overall data ingest.

  • Aid the team in delivering continual data feeds to users and monitoring the status of the health of data quality and overall data ingest.
  • Build resilient pipelines with appropriate backpressure, prioritization, retries, and error-handling strategies.
  • Employ a variety of data manipulation and visualization tools to effectively convey status and historical trends to leadership, users, and data team.
  • Collaborate with platform, software, and other data engineers to (re)configure data ingestion pipelines to be more reliable.
  • Work with data in a variety of formats including Excel, CSV, JSON, and XML.
  • Support the incident management process to ensure that incidents are documented and resolved quickly.  Perform root cause analysis to understand and
  • prevent repeated occurrences of data outages.
  • Develop and maintain software to automate monitoring of real-time feeds and alert for timeliness, volume, lineage, and distribution data issues.  Process learnings and rely on historical data from data pipelines, translating them into actionable steps to improve data ingest.
  • Partner with security and governance teams to enforce encryption, authentication authorization, and data classification. 
  • Demonstrate proficiency with frequent-used scripting language (Python, bash) commonly used in data science applications and data analytics.
     

Qualifications

  • U.S. citizenship and an active TS/SCI
  • Bachelor of Science required in the following preferred fields: Computer Science, Mathematics, EE, Physics, Information Systems, or Information Technology.
  • 3+ years of experience in data engineering, data operations, or DevOps roles supporting production data pipelines.
    Tools
  • Apps/Platforms: NiFi, Kafka, Grafana, Prometheus, Apache Flink/Spark Streaming, Snowflake, Elasticsearch, Kafka, MQTT, JMS
    Operating Systems: Windows, Linux (RedHat).

Target salary range: $200,001 - $240,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

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