Data Ops Engineer
San Diego, CA · On-site
$121K - $146K/yr
They are seeking a Data Ops Engineer to design, build, and maintain real-time data ingestion ... the incident management process to ensure that incidents are documented and resolved quickly.
Data Ops Engineer
San Diego, CA · On-site
$121K - $146K/yr
They are seeking a Data Ops Engineer to design, build, and maintain real-time data ingestion ... the incident management process to ensure that incidents are documented and resolved quickly.
Staff Software Engineer, Data Ops
Palo Alto, CA · On-site
$206K - $258K/yr
... Product Management, and other Technology Partners to leverage best practices and reference ... Qualifications * 5+ years of software engineering or in ML/Dev/Data Ops role. * 5+ years of ...
Staff Software Engineer, Data Ops
Palo Alto, CA · On-site
$206K - $258K/yr
... Product Management, and other Technology Partners to leverage best practices and reference ... Qualifications * 5+ years of software engineering or in ML/Dev/Data Ops role. * 5+ years of ...
Staff Software Engineer, Data Ops
Palo Alto, CA · On-site
$206K - $258K/yr
... Product Management, and other Technology Partners to leverage best practices and reference ... Qualifications * 5+ years of software engineering or in ML/Dev/Data Ops role. * 5+ years of ...
Staff Software Engineer, Data Ops
Palo Alto, CA · On-site
$206K - $258K/yr
... Product Management, and other Technology Partners to leverage best practices and reference ... Qualifications * 5+ years of software engineering or in ML/Dev/Data Ops role. * 5+ years of ...
Staff Software Engineer, Data Ops
$206K - $258K/yr
... Product Management, and other Technology Partners to leverage best practices and reference ... Qualifications * 5+ years of software engineering or in ML/Dev/Data Ops role. * 5+ years of ...
Staff Software Engineer, Data Ops
$206K - $258K/yr
... Product Management, and other Technology Partners to leverage best practices and reference ... Qualifications * 5+ years of software engineering or in ML/Dev/Data Ops role. * 5+ years of ...
Data Ops Engineer
San Diego, CA · On-site
$121K - $145K/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.
Quick apply
Data Ops Engineer
San Diego, CA · On-site
$121K - $145K/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.
DevOps Engineer - Data Ops
San Jose, CA · On-site
$61.75 - $84.75/hr
The role of DevOps Engineer - Data Ops involves automating workflows, enhancing platform ... Build, manage, and optimize Apache Spark clusters and workloads for batch and streaming data ...
DevOps Engineer - Data Ops
San Jose, CA · On-site
$61.75 - $84.75/hr
The role of DevOps Engineer - Data Ops involves automating workflows, enhancing platform ... Build, manage, and optimize Apache Spark clusters and workloads for batch and streaming data ...
Data Ops Engineer
San Diego, CA · On-site
$121K - $145K/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.
Data Ops Engineer
San Diego, CA · On-site
$121K - $145K/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.
... Ops oriented background * Strong experience in curating standard templates for goals such as requirement gathering, and change management. * Strong familiarity with Data Quality dimensions and ...
... Ops oriented background * Strong experience in curating standard templates for goals such as requirement gathering, and change management. * Strong familiarity with Data Quality dimensions and ...
Data Ops Engineer VFDE
San Diego, CA · On-site
$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.
Data Ops Engineer VFDE
San Diego, CA · On-site
$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.
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.
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.
Data Ops Engineer VFDE
San Diego, CA · On-site
$121K - $146K/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.
Data Ops Engineer VFDE
San Diego, CA · On-site
$121K - $146K/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.
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.
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.
Data Ops Engineer VFDE
San Diego, CA · On-site
$122K - $147K/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.
Data Ops Engineer VFDE
San Diego, CA · On-site
$122K - $147K/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.
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 ...
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 ...
Media Budget Ops Manager Location: Los Angeles, CA/ NYC, NY (Onsite 5 Days) Duration: 12+ Momths ... Develop and optimize budgeting processes that consolidate large data sets * Track expenses and ...
Media Budget Ops Manager Location: Los Angeles, CA/ NYC, NY (Onsite 5 Days) Duration: 12+ Momths ... Develop and optimize budgeting processes that consolidate large data sets * Track expenses and ...
Engineer I
$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 ...
Engineer I
$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 ...
Mongo DBA Senior Engineer
Sunnyvale, CA · On-site
$58.50 - $80.50/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 ...
Mongo DBA Senior Engineer
Sunnyvale, CA · On-site
$58.50 - $80.50/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 ...
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 ...
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 ...
People Ops Manager
San Francisco, CA · On-site
$140K - $160K/yr
About The Role Mercor's People Ops Manager will own the operational backbone of our people function ... Possesses high integrity and discretion when managing sensitive employee data and situations
People Ops Manager
San Francisco, CA · On-site
$140K - $160K/yr
About The Role Mercor's People Ops Manager will own the operational backbone of our people function ... Possesses high integrity and discretion when managing sensitive employee data and situations
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 ...
Quick apply
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 ...
Data Ops Manager information
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?
| Aspect | Data Ops Manager | Data Engineer |
|---|---|---|
| Primary Focus | Oversees data operations, workflows, and process optimization | Builds, constructs, and maintains data pipelines and infrastructure |
| Required Skills | Data management, process improvement, team coordination | Programming, database systems, ETL development |
| Certifications | Data management, cloud certifications often preferred | SQL, cloud platform certifications, programming languages |
| Work Environment | Collaborates with data teams, operations, and business units | Works 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.
What are the most commonly searched types of Data Ops jobs in California? The most popular types of Data Ops jobs in California are:
What are popular job titles related to Data Ops Manager jobs in California? For Data Ops Manager jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Ops Manager jobs in California look for? The top searched job categories for Data Ops Manager jobs in California are:
What cities in California are hiring for Data Ops Manager jobs? Cities in California with the most Data Ops Manager job openings:
Job description
Job Summary:
Xenith Solutions is a small family-focused business dedicated to serving Federal, Civilian, Defense, and Intelligence organizations. They are seeking a Data Ops Engineer to design, build, and maintain real-time data ingestion pipelines, ensuring reliable data flow and quality while collaborating with various engineering teams.
Responsibilities:
• 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.
• 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:
Required:
• 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.
• Demonstrate proficiency with frequent-used scripting language (Python, bash) commonly used in data science applications and data analytics.
• 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.
• Partner with security and governance teams to enforce encryption, authentication authorization, and data classification.
Preferred:
• Tools: NiFi, Kafka, Grafana, Prometheus, Apache Flink/Spark Streaming, Snowflake, Elasticsearch, Kafka, MQTT, JMS
• Operating Systems: Windows, Linux (RedHat)
Company:
Xenith Solutions provides information technology solutions and support. Founded in 2019, the company is headquartered in Reston, USA, with a team of 51-200 employees. The company is currently Growth Stage.
Xenith Solutions is a small family-focused business dedicated to serving Federal, Civilian, Defense, and Intelligence organizations. They are seeking a Data Ops Engineer to design, build, and maintain real-time data ingestion pipelines, ensuring reliable data flow and quality while collaborating with various engineering teams.
Responsibilities:
• 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.
• 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:
Required:
• 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.
• Demonstrate proficiency with frequent-used scripting language (Python, bash) commonly used in data science applications and data analytics.
• 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.
• Partner with security and governance teams to enforce encryption, authentication authorization, and data classification.
Preferred:
• Tools: NiFi, Kafka, Grafana, Prometheus, Apache Flink/Spark Streaming, Snowflake, Elasticsearch, Kafka, MQTT, JMS
• Operating Systems: Windows, Linux (RedHat)
Company:
Xenith Solutions provides information technology solutions and support. Founded in 2019, the company is headquartered in Reston, USA, with a team of 51-200 employees. The company is currently Growth Stage.
About Xenith Solutions
Sourced by ZipRecruiter
Industry
Guided missile and space vehicle manufacturing
Company size
51 - 200 Employees
Headquarters location
Reston, VA, US
Year founded
2019