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Dataops Engineer Jobs (NOW HIRING)

Anika Systems

Data Engineer

Leesburg, VA · Remote

$117K - $140K/yr

CI/CD & DataOps Engineering * Design and implement CI/CD pipelines for data pipelines, infrastructure, and analytics code using tools such as GitHub Actions, GitLab CI, Jenkins, or AWS-native ...

Anika Systems

Data Engineer

Leesburg, VA · On-site +1

$115K - $139K/yr

CI/CD & DataOps Engineering * Design and implement CI/CD pipelines for data pipelines, infrastructure, and analytics code using tools such as GitHub Actions, GitLab CI, Jenkins, or AWS-native ...

Anika Systems

Data Engineer

Leesburg, VA · Remote

$115K - $139K/yr

CI/CD & DataOps Engineering * Design and implement CI/CD pipelines for data pipelines, infrastructure, and analytics code using tools such as GitHub Actions, GitLab CI, Jenkins, or AWS-native ...

Astronomer

Sales Engineer

New York, NY · On-site

$200K - $250K/yr

Astronomer is on a mission to make DataOps a first-class discipline in every modern data ... We're expanding our Sales Engineering team to help data teams orchestrate, observe, and optimize ...

Judge Group, Inc.

Data Engineer III

Newport Beach, CA · On-site

$65 - $79/hr

Experience leading DataOps/DevOps functions including release, deployment, operations, and monitoring of data products. * 1+ years of experience with Snowflake, dbt, and Matillion. * Experience ...

1 point system

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

DataOps & Automation: Own the deployment lifecycle using Databricks Asset Bundles (DABs) and CI/CD ... Azure DevOps) to ensure reproducible environments. * Performance Tuning: Optimize streaming ...

Tech Tammina

DBT Engineer (GCP)

$117K - $140K/yr

Strong Git workflows, CI/CD, and DataOps practices * Proven experience in optimizing and modeling data pipelines on GCP

RR

Data Systems/Solutions Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

The Engineer applies modern software engineering and data engineering practices to ensure data ... DataOps / MLOps Enablement: * Implement CI/CD practices for data and ML workflows, including ...

Apex Informatics

Devops Engineer

Wilmington, DE · On-site

$51.25 - $70/hr

AWS must have S3, CI/CD EMR, Terraform must have, Python Must have, Spark or Pyspark strongly preferred. DevOps / DataOps skill set. Looking for someone to manage AWS / IaC with Terraform and build ...

Tata Consultancy Services

Data Engineer Lead

Plano, TX · On-site

$98K - $130K/yr

... DataOps practices. Qualifications : Required : • 8 - 10 Years of experience • Snowflake • DBT • Design and build data pipelines and models using Snowflake and dbt • Lead a team, provide ...

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Dataops Engineer information

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How much do dataops engineer jobs pay per hour?

As of Jul 12, 2026, the average hourly pay for dataops engineer in the United States is $63.50, according to ZipRecruiter salary data. Most workers in this role earn between $45.91 and $69.95 per hour, depending on experience, location, and employer.

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

To thrive as a Dataops Engineer, you need a strong background in data engineering, automation, CI/CD practices, and cloud platforms, typically supported by a degree in computer science or a related field. Familiarity with tools like Jenkins, Docker, Kubernetes, Terraform, and major cloud providers (AWS, Azure, GCP) as well as relevant certifications significantly enhances effectiveness in this role. Strong problem-solving skills, collaboration, and clear communication are essential soft skills for working across teams and addressing fast-changing data needs. These combined abilities ensure smooth data pipeline operations, minimize downtime, and enable efficient, reliable delivery of data-driven solutions.

What are the common day-to-day responsibilities of a Dataops Engineer?

A Dataops Engineer is typically responsible for designing, deploying, and maintaining automated data pipelines that support business analytics and operations. Daily tasks often include monitoring data workflows, troubleshooting pipeline issues, optimizing system performance, and collaborating with data scientists, analysts, and DevOps teams to ensure seamless data delivery. You may also be involved in implementing data quality checks, managing cloud resources, and improving deployment processes. This role is dynamic and fast-paced, requiring both technical expertise and effective cross-team communication. Working as a Dataops Engineer provides the opportunity to work on cutting-edge projects and directly influence data-driven decision-making across the organization.

What is a DataOps Engineer job?

A DataOps Engineer is responsible for streamlining and automating data workflows, ensuring data quality, and enabling efficient data integration across platforms. They work closely with data scientists, analysts, and engineers to implement CI/CD pipelines, manage data infrastructure, and optimize data delivery processes. Their role involves leveraging tools for orchestration, monitoring, and version control to enhance collaboration and reliability in data operations.

More about Dataops Engineer jobs
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Dataops Engineer jobs near you
Infographic showing various Dataops Engineer job openings in the United States as of July 2026, with employment types broken down into 13% As Needed, 42% Full Time, 2% Contract, 42% Nights, and 1% Summer. Highlights an 63% Physical, 8% Hybrid, and 29% Remote job distribution, with an average salary of $132,084 per year, or $63.5 per hour.

Systems Adminstrator

Black Canyon Consulting

Bethesda, MD • On-site, Remote

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 15 days ago

Job description

Black Canyon Consulting (BCC)  is searching for DataOps Engineer to support our work for the National Center for Biotechnology Information (NCBI) at the National Library of Medicine (NLM), an institute of the National Institutes of Health. This opportunity is full time and onsite/remote at the NCBI in Bethesda, MD and/or remote.

NCBI is part of the National Library of Medicine (NLM) at National Institutes of Health (NIH). NCBI advances science and public health by providing free access to biomedical literature and genomic data over the web, making it one of the 400 top most-visited sites in the world. NCBI's diverse staff of smart, talented, and deeply technical people collaborate to build critically valuable services for researchers, physicians, educators, students, and the general public. For example, NCBI develops and delivers PubMed, an index of over 29 million biomedical research abstracts, often with links to full-text literature and supporting data. 

This is a great opportunity to work on challenging problems as part of a new DataOps Platform team at NCBI. Developing an enterprise-wide DataOps platform is a new initiative at NCBI. Stepping on decades of experience in dealing with some of industry's most vital data-intensive applications, NCBI approaches solving the problems at enterprise scale using modern technologies such as Kubernetes, GitOps and containerization

We attract the best people in the business with our competitive benefits package that includes medical, dental and vision coverage, 401k plan with employer contribution, paid holidays, vacation, flexible work schedule and tuition reimbursement. If you enjoy being a part of a high performing, professional service and technology focused organization, please apply today!

Duties & Responsibilities

The DataOps Platforms team:

  • Develops and continuously improves DataOps platform.
  • Develops and maintains common tools and libraries.
  • Evaluates new technologies and practices.
  • Helps NCBI developers with adoption of platform.
  • Ensures compliance with the Federal application security regulations and standards by providing automated solutions and compliance pipelines.
  • Embraces agile development and continuous improvement
  • Encourages growth mindset and offers leadership opportunities at any level

Required Skills:

  • Strong coding skills in at least one programing language are required (Python, C++, ...)
  • Kubernetes, containerization
  • Google Cloud Platform (GCP), Amazon Web Services (AWS), Microsoft Azure or equivalent cloud services
  • Apache Kafka, Google Cloud Pub/Sub or equivalent
  • Apache AirFlow or equivalent
  • Experience with data processing applications and modern cloud-based data processing infrastructure
  • Linux command-line skills

Bonus Skills:

  • Google Anthos
  • Docker
  • GitOps tools: ArgoCD or equivalent
  • Infrastructure as code tools: Terraform or equivalent
  • GitLab, GitHub, Bitbucket, Teamcity, Artifactory, or equivalent products for management of Git source control, CI/CD pipelines and artifact lifecycle management
  • Modern observability and logging tools: Prometheus, EFK (ElasticSearch, fluentd, Kibana), TIGK (Telegraph, InfluxDB, Graphana, Kapacitor),
  • DataDog, Sensu, Jaeger, Sentry, OpsGenie, PagerDuty, Splunk, or equivalent 
  • Secret Management tools such as Hashicorp Vault, CyberArk, Azure Key Vault, Google Cloud Secret Manager or equivalent
  • Data transfer tools: AWS DataSync, Aspera, MinIO, CloudSoda or equivalent
  • Apache Pulsar, RabbitMQ, Amazon Kinesis, Apache Flume, Apache Storm, Apache Spark Streaming, Google Cloud Pub/Sub
  • Experience with best-practice design patterns in coding and architecture
  • Experience working in Agile environment
Educational Requirements
  • B.S. in a STEM field (Engineering, Computer Science, Mathematics, Physics) or equivalent industry experience in Systems Engineering.
Benefits and Salary

We attract the best people in the business with our competitive benefits package that includes medical, dental and vision coverage, 401k plan with employer contribution, paid holidays, vacation, and tuition reimbursement.

We offer a competitive salary commensurate with experience and location. The targeted range for this position is $115,000 - $150,000.

If you enjoy being a part of a high performing, professional service and technology focused organization, please apply today!

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