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Data Operations Engineer Jobs (NOW HIRING)

Data Operations Engineer

Austin, TX ยท On-site

$68K - $93K/yr

Data Operations Engineer Location: Austin, TX 6 MOnths Role: Data Operations Engineer o As data operations engineer, you will collaborate with various infrastructure teams, platforms, product ...

Data Operations Engineer

Austin, TX

$113K - $136K/yr

We're looking for a curious Data Operations Engineer with 2-3 years' experience to join our Data Operations team and keep the data that powers GLG flowing reliably. You'll pair with other engineers ...

Data Operations Engineer

New York, NY ยท On-site

$125K - $150K/yr

We're looking for a curious Data Operations Engineer with 2-3 years' experience to join our Data Operations team and keep the data that powers GLG flowing reliably. You'll pair with other engineers ...

Data Operations Engineer

San Francisco, CA ยท On-site

$81K - $110K/yr

Specter is hiring a data operations engineer to build our research data operation. This individual will own the full pipeline from defining what data we need, to getting it labeled at high quality ...

Data Operations Engineer

Mountain View, CA ยท 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 : โ€ข ...

Data Operations Engineer

Greenville, SC ยท 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 ...

Data Operations Engineer

Mountain View, CA ยท On-site

$136K - $163K/yr

They are seeking a Data Operations Engineer to own and operate the internal dataset library, ensuring fast, accurate, and scalable access to data while coordinating with engineering, product, and ...

Data Operations Engineer

Mountain View, CA ยท 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.

Sr. Data Operations Engineer

Beaverton, OR ยท On-site

$119K - $143K/yr

As a Sr. Data Operations Engineer, you ensure the reliability, stability, and operational excellence of Enterprise Data and ML/AI platforms. You'll be responsible for supporting end-to-end Data ...

$119K - $143K/yr

We are seeking a Data Operations Engineer to join our Data Engineering team under our Technology department. Using your creative problem solving skills, methodical attention to detail, and ...

Sr. Data Operations Engineer

Beaverton, OR ยท On-site

$119K - $143K/yr

As a Sr. Data Operations Engineer, you ensure the reliability, stability, and operational excellence of Enterprise Data and ML/AI platforms. You'll be responsible for supporting end-to-end Data ...

Sr. Data Operations Engineer

Beaverton, OR ยท On-site

$119K - $143K/yr

As a Sr. Data Operations Engineer, you ensure the reliability, stability, and operational excellence of Enterprise Data and ML/AI platforms. You'll be responsible for supporting end-to-end Data ...

Data Operations Engineer

New York, NY ยท On-site

$101K - $122K/yr

We're looking for a curious Data Operations Engineer with 2-3 years' experience to join our Data Operations team and keep the data that powers GLG flowing reliably. You'll pair with other engineers ...

Data Operations Engineer

Minneapolis, MN ยท On-site

$119K - $143K/yr

As a Data Operations Engineer at Datasite, you own the full lifecycle of partner data as it moves through our systems -- ingestion, transformation, validation, and reconciliation -- bringing the ...

FAIRI is looking for a Senior Data Operations Engineer to run the day-to-day of our data operations function: building the tooling the pipeline runs on, staying hands-on enough to dogfood and stress ...

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Data Operations Engineer information

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$36K

$85K

$135K

How much do data operations engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data operations engineer in the United States is $85,029.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,500.00 and $94,000.00 per year, depending on experience, location, and employer.

What is the difference between Data Operations Engineer vs Data Analyst?

AspectData Operations EngineerData Analyst
Required CredentialsBachelor's in CS, Data Science, or related; certifications like AWS, AzureBachelor's in Statistics, Math, or related; certifications like Microsoft Data Analyst
Work EnvironmentData engineering teams, cloud platforms, data pipelinesBusiness units, reporting tools, data visualization platforms
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing firms, finance, consulting, retail
Common Search & Comparison IntentUnderstanding technical differences, job roles, skillsData analysis tasks, reporting, insights generation

The Data Operations Engineer focuses on building and maintaining data infrastructure, pipelines, and ensuring data quality, often working with cloud platforms and scripting. In contrast, a Data Analyst primarily interprets data, creates reports, and provides insights to support business decisions. While both roles work with data, their core responsibilities and skill sets differ significantly.

What are the key skills and qualifications needed to thrive as a data operations engineer?

To thrive as a Data Operations Engineer, you need a solid understanding of data management, ETL processes, and database systems, typically supported by a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms, and cloud services (AWS, Azure, or GCP) as well as certifications such as AWS Certified Data Analytics are often required. Strong problem-solving, attention to detail, and effective communication skills help you manage complex data workflows and collaborate with cross-functional teams. These skills ensure data integrity, optimize performance, and enable seamless data-driven decision-making across the organization.

What are some common challenges faced by data operations engineers when working with large-scale data pipelines?

Data Operations Engineers often encounter challenges such as maintaining data quality, ensuring pipeline reliability, and managing system scalability as data volumes grow. Troubleshooting failures in real-time data flows and coordinating with data engineering and analytics teams to address bottlenecks are also common tasks. Additionally, adapting to evolving technologies and implementing automation for routine maintenance can be demanding but are crucial for efficient operations.
More about Data Operations Engineer jobs
What states have the most Data Operations Engineer jobs? States with the most job openings for Data Operations Engineer jobs include:
What job categories do people searching Data Operations Engineer jobs look for? The top searched job categories for Data Operations Engineer jobs are:
Infographic showing various Data Operations Engineer job openings in the United States as of August 2026, with employment types broken down into 86% Full Time, 11% Part Time, 1% Temporary, and 2% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $85,029 per year, or $40.9 per hour.

Data Operations Engineer

Symphony Corporation

Austin, TX โ€ข On-site

$68K - $93K/yr

Other

Posted 5 days ago


Job description

Data Operations Engineer
Location: Austin, TX

6 MOnths
Role: Data Operations Engineer
o As data operations engineer, you will collaborate with various infrastructure teams, platforms, product, engineering and scientists, to identify requirements that will derive the creation of sensible operations to build and manage data analytics foundations. The ideal candidate is a self-motivated teammate with good problem solving and communication skills with the ability to adapt and learn quickly, provide results with limited direction, and choose the best possible operational decisions.
o KEY RESPONSIBILITIES
๏‚ง Lead day-to-day operations to ensure organizational delivery of quality results.
๏‚ง Responsible for provisioning, enabling, scaling and maintaining our teamโ€™s data, analytics and ML infrastructures for batch and real time systems including pipelines, frameworks, tools and services in hybrid cloud.
๏‚ง Shepherd zero-downtime deployment process through continuous delivery practices, rapidly releasing features that provide critical and faster insights to business users.
๏‚ง Collaborate with the platform team by building the right tools for observability , monitoring, alerting and self-healing for the day to day management of analytics foundations.
๏‚ง Debug complex problems in distributed environment and ability to run the prod incidents efficiently to following up with Post incident reviews.
๏‚ง Developing self-service tools and automation to improve engineering efficiency and the quality of services.
๏‚ง Excellent verbal and written communication skills.
๏‚ง Self-starter with forward thinking capability with strong executional track record and be accountable for business priorities.
๏‚ง Hands-on experience with CI/CD pipelines and cloud environments like Gitlab, Spinnaker, Docker/Kubernetes observability using Splunk, Grafana/Data dog is a huge plus.
๏‚ง Proficient with one or more programming languages such as Python/Go/Rust/Java/Scala for automation and API integrations.
๏‚ง Experience in implementing security controls, governance processes, compliance validation, infrastructure cost analysis and optimization.
๏‚ง Knowledge of analytics and Applied ML stack like Apache Spark, Trino/Pinot, Iceberg, Atlas, Flink, Airflow/Luigi, Tableau, Snowflake, Databricks, MLFlow, Data Catalogs, Jupyter Notebooks, Vector database and Cassandra.
๏‚ง Solid understanding of IAAC (infrastructure as a code) techniques like terraform, orchestration and tooling.
๏‚ง Experience scaling operations in a fast-paced and dynamic environment. Experience working in agile or evolving product environments.?