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Data Operations Jobs (NOW HIRING)

Data Operations Engineer

$117K - $140K/yr

The mission of our Data Operations team is to deliver high-quality, accurate data that supports Sword's products and clients. We focus on maintaining strong data quality standards, improving ...

Cubist's data services group is looking for Data Operations Analyst to join our dedicated team. Our group is responsible for the timely delivery of comprehensive and error-free data to some of the ...

OR · On-site

$120K - $130K/yr

POSITION SUMMARY The Data Operations Engineer plays a crucial role in enabling data-driven decision-making across the organization. This individual will work closely with stakeholders to deliver and ...

Data Operations Engineer

$120K - $130K/yr

POSITION SUMMARY The Data Operations Engineer plays a crucial role in enabling data-driven decision-making across the organization. This individual will work closely with stakeholders to deliver and ...

We are looking for a Data Operations Lead to ensure the reliability, scalability, and operational excellence of our analytics and data systems. This role is operationally critical and technically ...

The Data Operations Associate is a key member of Wealthspire's Data Operations team, partnering closely with Client Operations and Client Service teams to support the accuracy, integrity, and ...

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 ...

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 ...

Data Operations Lead

San Francisco, CA · On-site

$150K - $200K/yr

Manage End-to-End Operations: Oversee the full lifecycle of data acquisition, ensuring datasets are delivered on schedule and meet rigorous quality standards. * Lead Labeling Teams: Direct both in ...

The Data Engineer (Data Operations )is responsible forbuilding,maintaining, andoptimizingdownstream data pipelines and analytics-ready datasets that power business intelligence and reporting.This ...

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 ...

Data Operations Engineer

Greenville, SC · On-site

$107K - $129K/yr

Position Summary We're looking for a skilled Data Operations Engineer to join our growing data team. This position reports to the Manager of Data Operations and is responsible for ensuring the ...

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How much do data operations jobs pay per year?

As of Jun 11, 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.

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 jobs pay 500,000 a year in the US?

In the US, high-paying roles such as senior executives, investment bankers, specialized surgeons, and successful entrepreneurs can earn $500,000 or more annually. These positions often require advanced skills, extensive experience, and sometimes significant risk or ownership stakes.

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 data quality standards to support analytics and decision-making processes.

Is 30 too late for data science?

Data operations roles often value relevant skills and experience over age, and many professionals transition into data science at various stages of their careers. While some roles may prefer candidates with recent technical training or certifications, age is generally not a barrier if you develop strong analytical, programming, and data management skills. Continuous learning and practical experience can help you succeed regardless of age.

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.

What jobs pay 200,000 a year in the USA?

In data operations, senior roles such as Data Operations Managers, Data Architects, and Data Engineering Directors can earn $200,000 or more annually, especially with extensive experience, advanced skills in SQL, Python, or cloud platforms, and leadership responsibilities. These positions often require a strong understanding of data management, analytics, and sometimes certifications like CDMP or AWS certifications.
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:
Infographic showing various Data Operations job openings in the United States as of June 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $128,526 per year, or $61.8 per hour.
Data Operations Engineer

$117K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago


Job description

Sword Health is shifting healthcare from human-first to AI-first through its AI Care platform, making world-class healthcare available anytime, anywhere, while significantly reducing costs for payers, self-insured employers, national health systems, and other healthcare organizations. Sword began by reinventing pain care with AI at its core, and has since expanded into women's health, movement health, and more recently mental health. Since 2020, more than 700,000 members across three continents have completed 10 million AI sessions, helping Sword's 1,000+ enterprise clients avoid over $1 billion in unnecessary healthcare costs. Backed by 42 clinical studies and over 44 patents, Sword Health has raised more than $500 million from leading investors, including Khosla Ventures, General Catalyst, Transformation Capital, and Founders Fund. Learn more at www.swordhealth.com.
Sword Health is looking for an exceptional candidate to join our Growth team as a Data Operations Engineer. This individual will support the integration of clients (self insured employers and health plans) into Sword's solutions by preparing, validating and maintaining data pipelines that can process large volumes of healthcare data. This role is ideal for a motivated, detail-oriented candidate who is eager to learn and ensure that information flows accurately and on time.
The mission of our Data Operations team is to deliver high-quality, accurate data that supports Sword's products and clients. We focus on maintaining strong data quality standards, improving operational processes, and ensuring smooth data integrations across the organization.
What you'll be doing:
  • ETL (Extract, Transform, Load) Pipelines: Ensure the reliable operation of existing ETL pipelines by monitoring data flows, validating and reconciling data, identifying and resolving issues, and maintaining high standards of data quality across multiple healthcare data sources;
  • Data Validation & Quality Management: Develop and maintain automated validation and cleansing rules to identify and resolve data quality issues such as missing data, mismatched fields, and invalid clinical or billing codes (e.g., ICD, CPT);
  • Monitoring, Alerting & Incident Response: Configure and manage monitoring and alerting mechanisms to detect processing failures, latency issues, and data anomalies in near real time, and drive timely resolution;
  • Issue Investigation & Root Cause Analysis: Lead root-cause analysis for data and pipeline issues, partnering with data engineering and upstream data providers to resolve defects and prevent recurrence;
  • Cross-Functional Collaboration & Process Improvement: Work closely with data engineering, product, customer success, and operations teams to continuously improve data reliability, operational workflows, and documentation.

What you need to have:
  • Healthcare Data Expertise: Strong working knowledge of eligibility, medical claims, pharmacy claims, and prior authorization data, including how these datasets are structured, interpreted, and used across the healthcare ecosystem;
  • Data Governance & Compliance: Experience handling Protected Health Information (PHI) in accordance with HIPAA and other applicable regulations, with a solid understanding of data governance, privacy, and security best practices;
  • Data Querying & Analysis: Proven experience writing and optimizing SQL queries to extract, reconcile, and analyze large healthcare datasets in support of operational and data quality needs;
  • Data Operations & Integration Knowledge: Working understanding of ETL processes, data integration workflows, secure data transport (e.g., SFTP), and data encryption, with a focus on operating and supporting existing data pipelines;
  • Cross-Functional & External Collaboration: Comfortable partnering with data engineering, product, customer success, clinical operations, and external vendors or payers to validate requirements, clarify data definitions, support SLAs, and ensure timely, accurate data delivery;
  • Operational Rigor & Problem Solving: Detail-oriented and process-driven, with a strong ability to diagnose issues, reconcile data discrepancies, document workflows, and propose process improvements that reduce recurring errors;
  • Communication & Growth Mindset: Able to translate technical concepts for non-technical stakeholders while engaging deeply with engineers when needed; thrives in a fast-paced, high-growth environment and can manage multiple priorities effectively;
  • AI & Automation Leverage: Leverages AI tools or automation platforms to enhance data operations, detect anomalies, and streamline workflows.

What we would love to see:
  • Data Broker & EDI Exposure: Familiarity with data brokers (e.g. Availity, Change Healthcare) or EDI Transactions, especially 270/271 and 834 transactions;
  • Professional Experience: 3-5 years of experience in a data-centric role.

To ensure you feel good solving a big Human problem, we offer:
  • A stimulating, fast-paced environment with lots of room for creativity;
  • A bright future at a promising high-tech startup company;
  • Career development and growth, with a competitive salary;
  • The opportunity to work with a talented team and to add real value to an innovative solution with the potential to change the future of healthcare;
  • A flexible environment where you can control your hours (remotely) with unlimited vacation;
  • Access to our health and well-being program (digital therapist sessions);
  • Remote or Hybrid work policy.
  • To get to know more about our Tech Stack, check here.

$110,425 - $173,525 a year
*This range includes base, variable and equity
These compensation bands are just the starting point. Once someone joins and proves they're outlier talent, we adjust quickly to ensure their compensation aligns with their impact.
Our job titles may span more than one career level. Actual pay is determined by skills, qualifications, experience, location, market demand, and other factors. Compensation details listed in this posting reflect the base salary and any potential variable, bonus or sales incentives, and the Company's estimation of the value of private company stock options, if applicable. The pay range is subject to change, future value of company stock options is not guaranteed, and compensation may be modified in the future. In addition to our total compensation, Sword offers a number of benefits as listed below.
US - Sword Benefits & Perks:
• Comprehensive health, dental and vision insurance*
• Life and AD&D Insurance*
• Financial advisory services*
• Supplemental Insurance Benefits (Accident, Hospital and Critical Illness)*
• Health Savings Account*
• Equity shares*
• Discretionary PTO plan*
• Parental leave*
• 401(k)
• Flexible working hours
• Remote-first company
• Paid company holidays
• Free digital therapist for you and your family
*Eligibility: Full-time employees regularly working 25+ hours per week
Note: Applicants must have a legal right to work in the United States, and immigration or work visa sponsorship will not be provided.
SWORD Health, which includes SWORD Health, Inc. and Sword Health Professionals (consisting of Sword Health Care Providers, P.A., SWORD Health Care Providers of NJ, P.C., SWORD Health Care Physical Therapy Providers of CA, P.C.*) complies with applicable Federal and State civil rights laws and does not discriminate on the basis of Age, Ancestry, Color, Citizenship, Gender, Gender expression, Gender identity, Gender information, Marital status, Medical condition, National origin, Physical or mental disability, Pregnancy, Race, Religion, Caste, Sexual orientation, and Veteran status.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.