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Data Operations Jobs (NOW HIRING)

Revecore Technologies

Data Operations Analyst

The Data Operations Analyst will join the Technology function, solving complex data problems for the Revecore Data Platform. The ideal candidate will contribute to platform and automation ...

HealthEdge

HealthEdge is looking for a Data Operations Manager with a focus on data insights who thinks like an engineer, works like a scientist and communicates like a strategist. This hybrid role sits at the ...

Hive

Data Operations Analyst

San Francisco, CA · On-site

$60K - $85K/yr

Data Operations Analyst We are looking for an eager and motivated Data Operations Analyst to join our Data Operations team. At Hive, our DataOps team is responsible for supporting the development of ...

KPMG

Manager, Data Operations

Albany, NY · On-site

KPMG is currently seeking a Manager, Data Operations - Azure Data Lake to join our Digital Nexus organization. Responsibilities: * Lead and manage Managed Service Provider (MSP) resources ...

Abaka AI

Data Operations Engineer

Mountain View, CA · On-site

$136K - $163K/yr

The Data Operations Engineer will manage the internal dataset library and collaborate with various teams to ensure efficient access to data and maintain dataset quality. Responsibilities : • ...

ICONIQ

Associate, Data Operations

New York, NY

$130K - $150K/yr

The Data Operations team play a critical role in the firm's data strategy in alignment with investment, client, and operational goals. What You'll Do: Data Strategy & Governance * Champion data ...

Abaka AI

Data Operations Engineer

Mountain View, CA · On-site

$136K - $163K/yr

The Data Operations Engineer will own and operate the internal dataset library, ensuring fast and scalable access to data while maintaining dataset quality and organization across the company.

Datasite

Data Operations Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

Job Summary : Datasite is a company focused on data operations, and they are seeking a Data Operations Engineer to manage the full lifecycle of partner data. The role involves guiding data ...

David AI

General Manager, Data Operations

San Francisco, CA · On-site

$175K - $240K/yr

About our Data Operations team Our Data Operations team powers David AI's Data Factory, transforming raw audio into high-quality training datasets for leading AI labs. Our mandate is to spin up new ...

Dotdash Meredith

Manager, Data Operations

Manhattan, NY · On-site

$190K - $205K/yr

Job Title Manager, Data Operations About The Position: The Manager, Data Operations leads the design, reliability, and day-to-day execution of the company's core data pipelines and analytics ...

New

Ci

Data Operations Analyst

Austin, TX

Data operation, maintenance, support, and oversight across critical operational processes in key enterprise platforms, including Salesforce, Addepar, Vestmark, and others * Data integrity . Quality ...

ICONIQ

Associate, Data Operations

New York, NY · On-site

$130K - $150K/yr

The Data Operations team play a critical role in the firm's data strategy in alignment with investment, client, and operational goals. What You'll Do: Data Strategy & Governance * Champion data ...

HappyRobot

Data Operations Engineer

San Francisco, CA · On-site

$81K - $110K/yr

The Data Operations Engineer will serve as the operational backbone of the product organization, working closely with the CTO and Head of Product to ensure synchronization between Product Engineering ...

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Data Operations information

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$52K

$128.5K

$200K

How much do data operations jobs pay per year?

As of Jul 22, 2026, the average yearly pay for data operations in the United States is $128,526.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,000.00 and $163,500.00 per year, depending on experience, location, and employer.

Is data operations a good job?

Data operations is a growing field that involves managing, processing, and maintaining data systems to support business functions. It often requires skills in database management, data quality, and tools like SQL or data pipelines, and can offer stable employment with opportunities for advancement. The role is suitable for individuals interested in technology, data analysis, and operational efficiency.

What is a Data Operations job?

A Data Operations job involves managing and optimizing the processes, tools, and workflows that ensure the efficient movement, storage, and accessibility of data. This includes data ingestion, transformation, quality assurance, and pipeline monitoring to support analytics and business intelligence. Data Operations professionals collaborate with engineers, analysts, and business teams to improve data reliability, scalability, and performance. Their role is critical in maintaining clean, accessible, and well-governed data for decision-making.

What is the role of data operations?

Data operations involve managing, processing, and maintaining data to ensure its accuracy, availability, and security for organizational use. Professionals in this field often work with data management tools, databases, and automation processes to support data-driven decision-making.

What is the highest paying data job?

The highest paying data job is typically a Data Engineering Manager or Chief Data Officer, with salaries often exceeding $150,000 annually depending on experience and location. These roles require advanced skills in data architecture, leadership, and often certifications in cloud platforms or data management tools.

Is 30 too late for data science?

Data operations roles often value skills and experience over age, and many professionals transition into data science at various ages, including in their 30s. Building relevant skills such as programming, statistics, and tools like SQL or Python can facilitate entry, regardless of age. Continuous learning and practical experience are key factors for success in data science careers.

What types of teams and departments does Data Operations typically collaborate with?

Data Operations professionals often work closely with data engineering, business intelligence, IT, and analytics teams, as well as stakeholders from various business units such as marketing, finance, and operations. Their role frequently involves coordinating data pipelines, troubleshooting data quality issues, and ensuring smooth integration across systems. This cross-functional collaboration helps align data efforts with organizational goals and supports informed decision-making throughout the company. Being adaptable and communicative is key, as you'll regularly facilitate the flow of data and insights between technical teams and business users.

What are the key skills and qualifications needed to thrive in the Data Operations position, and why are they important?

To thrive in Data Operations, you need strong analytical skills, data management experience, and a background in fields like information systems, computer science, or statistics. Familiarity with data visualization tools (e.g., Tableau), database management systems (e.g., SQL), and data integration platforms, along with relevant certifications such as AWS or Microsoft Azure Data Engineer, are highly valuable. Exceptional attention to detail, problem-solving ability, and effective collaboration skills differentiate top performers in this role. These competencies ensure accurate data flow, system integrity, and seamless cross-team cooperation, all of which are critical for maintaining reliable business operations.

More about Data Operations jobs
What cities are hiring for Data Operations jobs? Cities with the most Data Operations job openings:
What are the most commonly searched types of Data Operations jobs? The most popular types of Data Operations jobs are:
What states have the most Data Operations jobs? States with the most job openings for Data Operations jobs include:
What job categories do people searching Data Operations jobs look for? The top searched job categories for Data Operations jobs are:
Data Operations jobs near you
Infographic showing various Data Operations job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 10% Part Time, and 9% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $128,526 per year, or $61.8 per hour.
Data Operations Analyst

Data Operations Analyst

Revecore Technologies

Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 23 days ago

Job description


Start your next chapter at Revecore! For over 25 years, Revecore has been at the forefront of specialized claims management, helping healthcare providers recover meaningful revenue to enhance quality patient care in their communities. We're powered by people, driven by technology, and dedicated to our clients and employees. If you're looking for a collaborative and diverse culture with a great work/life balance, look no further.
Revecore Perks:
  • We offer paid training and incentive plans
  • Our medical, dental, vision, and life insurance benefits are available from the first day of employment
  • We enjoy excellent work/life balance
  • Our Employee Resource Groups build community and foster a culture of belonging and inclusion
  • We match 401(k) contributions
  • We offer career growth opportunities
  • We celebrate 12 paid holidays and generous paid time off

Location: Remote-USA
Revecore is embarking on re-architecting and modernizing its core platform. The Data Technology at Revecore is empowering the business in unlocking new opportunities by integrating data and machine learning across our products and business functions.
The Data Operations Analyst will join the Technology function, solving complex data problems for the Revecore Data Platform. The ideal candidate will contribute to platform and automation improvements while working closely with Data Engineering to support data ingestion, pipelines, and data operations. Responsible for managing and optimizing the day-to-day file delivery and ingestion process.
What You'll Do
  • Support production data operations, including troubleshooting data issues, pipeline failures, and file delivery incidents.
  • Drive the design and implementation of end-to-end data quality frameworks to ensure accuracy, completeness, and reliability across data pipelines.
  • Build and maintain automated data validation and monitoring processes to proactively detect and resolve data issues.
  • Analyze data to identify trends, anomalies, and root causes, and drive improvements to systems and processes.
  • Design and optimize complex SQL queries, stored procedures, and views to support data analysis and operational workflows.
  • Oversee data reconciliation across systems, ensuring high data fidelity and alignment.
  • Support and troubleshoot data pipeline orchestration, including components built in C# and other backend technologies.
  • Assist in maintaining and enhancing applications used for data movement, transformation, and delivery.
  • Contribute to modernization efforts by helping transitioning legacy data workflows and file transfers.
  • Support deployment and release processes, including CI/CD pipelines and environment consistency.
  • Build and enhance monitoring and alerting frameworks to provide visibility into pipeline health, data quality, and operational performance.
  • Partner with stakeholders to prioritize and resolve high-impact data issues in a timely manner.
  • Collaborate with Data Engineering to support data ingestion, file processing, and pipeline operations.
  • Partner with Data Engineering teams to improve reliability, scalability, and performance of data workflows.

Technical Requirements
  • Experience working with file-based data integrations (e.g., SFTP, flat files, EDI) and troubleshooting file delivery issues.
  • Strong experience with SQL (T-SQL) and Snowflake for querying, performance tuning, and troubleshooting is required.
  • Experience with Python for scripting, automation, and data workflows.
  • Strong proficiency in C#, with experience supporting or enhancing data-related applications used for orchestration, transformation, and file processing.
  • Experience with .NET Framework and/or .NET Core.
  • Ability to troubleshoot and support legacy systems while contributing to modernization efforts.
  • Familiarity with CI/CD pipelines (e.g., Azure DevOps) and deployment best practices.
  • Understanding software development lifecycle (SDLC), version control, and release processes.
  • Experience working with healthcare data and HIPAA compliance requirements.
  • Strong problem-solving skills with the ability to diagnose complex data and system issues.
  • Ability to collaborate across technical and business teams.
  • Experience mentoring team members and promoting data quality best practices.

Work at Home Requirements:
  • A quiet, distraction-free environment to work from in your home.
  • A secure internet connection is required.
  • Home internet with speeds >20 Mbps for downloads and >10 Mbps for uploads.
  • The workspace area accommodates all workstation equipment and related materials and provides adequate surface area to be productive.

Revecore is an equal opportunity employer that does not discriminate based on race, color, religion, sex or gender, gender identity or expression, sexual orientation, national origin, age, disability status, veteran status, genetic information, or any other legally protected status.
We believe that a diverse workforce fosters innovation and creativity, enriches our culture, and enables us to better serve the needs of our clients and communities. We welcome and encourage individuals of all backgrounds, perspectives, and abilities to apply.
Must reside in the United States within one of the states listed below:
Alabama, Arkansas, Delaware, Florida, Georgia, Iowa, Illinois, Indiana, Kansas, Kentucky, Louisiana, Massachusetts, Maine, Maryland, Michigan, Minnesota, Missouri, Mississippi, Montana, North Carolina, Nebraska, New Hampshire, Ohio, Oklahoma, Pennsylvania, Rhode Island, South Carolina, Tennessee, Texas, Virginia, Wisconsin, and West Virginia
Data Operations Analyst

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