ZipRecruiter

Log In

2

Remote Dataops Engineer Jobs (NOW HIRING)

Indicium AI

Databricks Data Engineer (Remote)

New York, NY · On-site +1

$120K - $160K/yr

Disseminating DevOps and DataOps best practices within the team. * Collaborate with teams to deliver data solutions that meet business needs. * Research and implement new technologies and tools to ...

Indicium AI

Databricks Data Engineer (Remote)

New York, NY · On-site +1

$120K - $160K/yr

Disseminating DevOps and DataOps best practices within the team. * Collaborate with teams to deliver data solutions that meet business needs. * Research and implement new technologies and tools to ...

ASK Consulting

Be Seen First

Marketing Solution Architect (278555)

OR · Remote

$49/hr

Partner with DataOps, Enterprise Data, CRM, RevOps, SalesOps, and Engineering teams. * Support ... Remote | Must support EST business hours. About ASK: ASK Consulting is an award-winning technology ...

New

Inherent Technologies

Azure Databricks Architect

Chandler, AZ · Remote

$65 - $84.75/hr

Minneapolis/Remote 12+ years of Data Solutions Design/Development Experience with at-least 2+ years ... Azure DevOps Implementation, DevSecOps / DataOps Methods preferred Should be able to drive the ...

Astronomer

$125K - $130K/yr

... DataOps platform powered by Apache Airflow ® . Astro accelerates building reliable data products ... Remote At Astronomer, we value diversity. We are an equal opportunity employer: we do not ...

WebstaurantStore

Senior BI Engineer, Data

Lititz, PA · On-site +1

$98K - $133K/yr

Leveraging a modern data stack , scalable cloud technologies, and innovative DataOps practices, the ... Remote Work Qualifications * Access to a reliable and secure high-speed internet connection. Cable ...

Astronomer

$125K - $130K/yr

... DataOps platform powered by Apache Airflow ® . Astro accelerates building reliable data products ... Remote At Astronomer, we value diversity. We are an equal opportunity employer: we do not ...

FICO

Lead ML Ops/DevOps Engineer - AI Engineering

$140K - $220K/yr

What We're Seeking * 8+ years of experience in DataOps, MLOps, or related fields, with 3+ years ... LS1 #LI-Remote Why Make a Move to FICO? At FICO, you can develop your career with a leading ...

CrowdStrike

Establish best practices for MLOps/DataOps surrounding LLMs, including monitoring, observability ... Actively mentor engineers, conducting technical workshops, leading design reviews, and ...

Black Canyon Consulting

Engineering Team Leader

Bethesda, MD · On-site +1

$109K - $144K/yr

There is the possibility of 1 day/week as remote work. This position functions as a Technical ... Experience implementing DevOps and DataOps practices * Experience working on projects related to ...

Fractal River

Data Engineer (Remote - Latin America)

$117K - $140K/yr

Contribute to our evolving DevOps and DataOps practices, helping shape how we work as we continuously improve. * Coordinate projects, activities, and tasks to ensure objectives and key results are ...

next page

Showing results 1-20

All JobsDataops Engineer JobsRemote Dataops Engineer Jobs

Remote Dataops Engineer information

See salary details

$38K

$115.9K

$191.5K

How much do remote dataops engineer jobs pay per year?

As of Jul 17, 2026, the average yearly pay for remote dataops engineer in the United States is $115,864.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,000.00 and $151,500.00 per year, depending on experience, location, and employer.

What is the difference between Remote Dataops Engineer vs Data Engineer?

AspectRemote Dataops EngineerData Engineer
CredentialsBS in CS, Data Science, or related; certifications like AWS, GCP, or AzureSimilar credentials; often with additional database or software engineering certifications
Work EnvironmentRemote or hybrid, collaborative teams, cloud platformsRemote or on-site, data-focused teams, cloud and on-prem infrastructure
Industry UsageTech, finance, healthcare, e-commerceTech, finance, retail, telecom
Search & Comparison IntentUnderstanding roles in data operations, cloud deployment, automationFocus on data pipeline development, database management, ETL processes

The Remote Dataops Engineer and Data Engineer roles share many credentials and work environments, often overlapping in cloud and data infrastructure. However, Data Engineers typically focus more on building and maintaining data pipelines and databases, while Dataops Engineers emphasize automating deployment, monitoring, and optimizing data workflows in cloud environments.

What is a Remote DataOps Engineer?

A Remote DataOps Engineer is a technology professional who works remotely to manage, automate, and optimize data pipelines and processes within an organization. Their main goal is to streamline the flow of data between various systems, ensuring the availability, quality, and security of data for analytics and business operations. They collaborate closely with data engineers, analysts, and IT teams to develop efficient workflows, automate repetitive tasks, and monitor data infrastructure performance. By working remotely, they leverage cloud-based tools and communication platforms to support distributed teams and global data operations.

How do Remote DataOps Engineers typically collaborate with cross-functional teams to ensure smooth data pipeline operations?

Remote DataOps Engineers often work closely with data engineers, analysts, and DevOps teams using collaboration tools like Slack, Jira, and GitHub. Regular virtual meetings and documentation are essential to align on pipeline requirements, monitor data quality, and resolve issues quickly. Clear communication and proactive status updates help build trust with stakeholders and ensure that data infrastructure supports business needs efficiently, even when working remotely.

What are the key skills and qualifications needed to thrive as a Remote DataOps Engineer, and why are they important?

To thrive as a Remote DataOps Engineer, you need expertise in data engineering, automation, and pipeline management, typically backed by a degree in computer science or a related field. Familiarity with tools like Apache Airflow, Kubernetes, CI/CD systems, and cloud platforms such as AWS or Azure is highly valued, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills are crucial for managing distributed teams and complex data workflows. These skills and qualities ensure efficient, reliable, and scalable data infrastructure essential for modern data-driven organizations.
More about Remote Dataops Engineer jobs
What cities are hiring for Remote Dataops Engineer jobs? Cities with the most Remote Dataops Engineer job openings:
What are the most commonly searched types of Dataops Engineer jobs? The most popular types of Dataops Engineer jobs are:
What states have the most Remote Dataops Engineer jobs? States with the most job openings for Remote Dataops Engineer jobs include:
What job categories do people searching Remote Dataops Engineer jobs look for? The top searched job categories for Remote Dataops Engineer jobs are:
Remote Dataops Engineer jobs near you
Infographic showing various Remote Dataops Engineer job openings in the United States as of July 2026, with employment types broken down into 20% Locum Tenens, 10% As Needed, 33% Full Time, 1% Contract, and 36% Nights. Highlights an 63% Physical, 8% Hybrid, and 29% Remote job distribution, with an average salary of $115,864 per year, or $55.7 per hour.

Databricks Data Engineer (Remote)

Indicium AI

New York, NY • On-site, Remote

$120K - $160K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

About Indicium AI
Indicium AI is trusted by the world's leading enterprises to deliver AI into production at scale. We are a global AI-native consultancy with proven experience across Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing. From strategy, to build, to business outcomes, we unlock value from AI with unmatched clarity, speed, and capability.
Powered by 600+ AI experts serving 50+ enterprise clients from 5 global locations, we work side-by-side with top partners - including Anthropic, Databricks, AWS, OpenAI, and Microsoft - to deliver modern AI with speed and measurable impact.
The Opportunity
Responsible for the development, implementation, and maintenance of scalable, reliable, and high-performance data solutions. Will design and build data pipelines, ensuring the integration, security, and reliability of data from diverse sources to meet the needs of internal and external applications, as well as to support advanced analytics and strategic decision-making for the company.
Responsibilities:
  • Perform data ingestion/integration from various sources (relational and NoSQL databases, internal and external service APIs, files, and others) and ensure data quality and consistency.
  • Implement data storage solutions (Data Warehouses, Data Lakes) and optimize the performance of data queries and processing.
  • Managing data loading in distributed storage (whether relational or non-relational)
  • Aggregate data using distributed tools that can handle large volumes of data.
  • Design, develop, and maintain robust and efficient Electronic Logistics (ELT) pipelines using data engineering best practices.
  • Ensure the entire ELT process is functioning correctly through monitoring and metrics such as SLAs.
  • Monitor the execution of ELT applications hosted in the cloud and on-premises.
  • To ensure data security and governance by implementing data access and quality policies.
  • To provision and/or maintain the data infrastructure, ensuring scalability, availability, and security.
  • Automate the provisioning and management of infrastructure using Infrastructure as Code (IaC) tools.
  • Disseminating DevOps and DataOps best practices within the team.
  • Collaborate with teams to deliver data solutions that meet business needs.
  • Research and implement new technologies and tools to improve the efficiency and scalability of data solutions.
  • Having the freedom and critical thinking skills to propose and question solutions related to data engineering.
  • Documenting processes, architectures, and data solutions.

Requirements:
  • At least 4 years of experience in at least one programming language (Python, Java, Ruby, JavaScript, Scala, etc.);
  • Experience with version control systems such as GitHub, GitLab, Bitbucket, etc;
  • Advanced knowledge of SQL;
  • Advanced knowledge in DBT;
  • Experience or knowledge working with Databricks;
  • Knowledge of algorithms and data structures;
  • Have experience with technologies such as Spark, Kafka, Presto, and/or Airflow and feel confident creating aggregated datasets.
  • Experience with data warehouses such as Google BigQuery, Redshift, and/or Snowflake is required.
  • Have experience with Infrastructure as Code (IaC) tools, such as Terraform.
  • Have experience with cloud infrastructure (AWS, GCP, etc.)
  • Have experience with cloud data processing (AWS, GCP, Azure, Snowflake, Databricks)
  • Certification in public cloud platforms (AWS, Azure, Snowflake, Databricks, GPC) at the Associate level or equivalent.

Applicants must be U.S. citizens to be eligible for this role.
Why Indicium AI
  • Fast-growing start-up organisation with huge opportunity for career growth
  • Highly competitive salary package along with company bonus
  • A hugely collaborative working environment where every person's viewpoint is considered - a chance to make your mark on the business from day one!
  • Financially backed business meaning security and support for new initiatives and global market expansion
  • Pick your own Gear! Macbooks, PCs, Accessories!
  • Drive your development with a personal learning budget.

The anticipated base salary range for this role is $120,000 - $160,000. In addition to base pay, this position may be eligible for an annual discretionary bonus. An individual's final salary offer will be determined based on a variety of factors, including geographic location, experience, specialized skills, and qualifications. This compensation range is subject to updates or modifications at the company's discretion

Apply