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Remote Dataops Engineer Jobs (NOW HIRING)

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 ...

We're a modern product engineering partner blending strategy, craftsmanship, and speed to help ... Remote or hybrid work options * Competitive salary + bonus opportunities * Robust benefits package ...

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$191.5K

How much do remote dataops engineer jobs pay per year?

As of Jun 7, 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:
Infographic showing various Remote Dataops Engineer job openings in the United States as of May 2026, with employment types broken down into 83% Full Time, 13% Part Time, and 4% Contract. Highlights an 75% Physical, 6% Hybrid, and 19% Remote job distribution, with an average salary of $115,864 per year, or $55.7 per hour.
Informatica Product Owner - Remote

Informatica Product Owner - Remote

The Jackson Laboratory

Bar Harbor, ME • Remote

$49.50 - $65.25/hr

Full-time

Posted 8 days ago


The Jackson Laboratory rating

8.0

Company rating: 8.0 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

38th of 103 rated laboratories


Job description

Informatica Product Owner - Remote

The Informatica Administrator is a senior, enterprise technology role responsible for the administration, governance, stability, and continuous optimization of the organization's Informatica data integration and data management platforms. This includes Informatica Intelligent Data Management Cloud (IDMC/IICS), PowerCenter, Enterprise Data Catalog (EDC/CDGC), Axon Data Governance, Informatica MDM, Data Quality (IDQ), and associated Secure Agents and connectivity components. While aligned to the Informatica technology stack, the role operates at a high level and follows standardized expectations used consistently across all senior platform administrator roles. The Senior Informatica Administrator partners with data engineering, data governance, analytics, business leaders, platform owners, security, and infrastructure teams to ensure Informatica platforms are reliable, secure, scalable, and aligned with enterprise data strategy and organizational objectives.

Key Responsibilities:

  • Provide strategic oversight and operational leadership for the Informatica platform estate, ensuring alignment with enterprise data strategy, architectural standards, and data governance frameworks.
  • Establish and maintain Informatica governance practices, including development standards, naming conventions, folder/project structures, deployment policies, code promotion workflows, and operational guardrails.
  • Partner with data platform owners, data product owners, and business stakeholders to prioritize Informatica enhancements, connector adoption, and capacity expansion.
  • Contribute to the Informatica roadmap in collaboration with data engineering, enterprise architecture, and business leaders.
  • Oversee administration of all Informatica environments, including domain/org configuration, Secure Agent management, runtime environment setup, user and role provisioning, connector and connection management, and integration with source and target systems.
  • Ensure consistent management of dev, test, and production environments, including repository management, object migration, deployment coordination via CI/CD, and release readiness.
  • Lead Informatica upgrade, hotfix, patching, EBF application, and release validation activities across PowerCenter, IDMC pods, and on-premises Secure Agents.
  • Monitor platform health, job performance, session/taskflow execution, and reliability using Operational Insights, Monitor, and third-party observability tools.
  • Enforce Informatica security standards, including IAM (SAML/SSO, SCIM), role-based access control, secure connection credentials, key/secret management, and data masking/encryption policies.
  • Partner with security, data privacy, and infrastructure teams to ensure compliance with regulatory requirements.
  • Oversee incident response, root cause analysis, and remediation for Informatica-related issues.
  • Serve as a senior escalation point for Informatica platform issues, balancing operational stability with business priorities.
  • Maintain strong relationships with data engineering, analytics, and business stakeholders, providing clear communication on platform status, job SLAs, risks, and change windows.
  • Guide adoption, enablement, and best practices for Informatica developers and citizen integrators.
  • Manage the relationship with Informatica and associated service providers, including support case escalation, GCS engagement, roadmap alignment, and product advisory participation.
  • Support business case development, cost-benefit analysis, and ROI evaluation for Informatica investments, including IPU consumption forecasting and license optimization.
  • Provide technical leadership, mentoring, and guidance to Informatica administrators, ETL/ELT developers, and support teams.
  • Define operational standards, runbooks, documentation practices, and knowledge transfer processes to strengthen platform maturity.
  • Stay current on Informatica product capabilities, IDMC releases, CLAIRE-powered AI features, and industry trends.
  • Other duties as assigned.

Knowledge, Skills, and Abilities:

  • Deep expertise in Informatica platform administration (IDMC/IICS, PowerCenter, EDC, MDM, IDQ, Axon).
  • Strong knowledge of data integration patterns: batch, real-time, CDC, and API-based.
  • Proficiency with relational and cloud data platforms (Oracle, SQL Server, Snowflake, Databricks, Redshift, BigQuery).
  • Analytical and problem-solving skills, including performance tuning, session log analysis, pushdown optimization, and Secure Agent diagnostics.
  • Knowledge of enterprise security standards: SAML/SSO, SCIM, RBAC, encryption, and data masking.
  • Familiarity with CI/CD pipelines, Git integration, and DataOps practices for Informatica.
  • Working knowledge of scripting (Shell, Python, PowerShell), SQL tuning, and cloud platforms (AWS, Azure, GCP).
  • Strong communication skills - able to translate complex technical concepts for business and executive audiences.
  • Ability to lead cross-functional collaboration with data engineering, security, governance, analytics, and business stakeholders.
  • 7+ years in enterprise data integration, with at least 4 years hands-on Informatica administration (IDMC/IICS or PowerCenter).
  • Bachelor's degree in information technology, Computer Science, Information Systems, or a related field required.

Pay Range: $98,885 - $165,554

#CA-EH8

About JAX:

The Jackson Laboratory is an independent, nonprofit biomedical research institution with a National Cancer Institute-designated Cancer Center and nearly 3,000 employees in locations across the United States (Maine, Connecticut, California),Japan andChina. Its mission is to discover precise genomic solutions for disease and empower the global biomedical community in the shared quest to improve human health.

Founded in 1929, JAX applies over nine decades of expertise in genetics to increase understanding of human disease, advancing treatments and cures for cancer, neurological and immune disorders, diabetes, aging and heart disease. It models and interprets genomic complexity, integrates basic research with clinical application, educates current and future scientists, and provides critical data, tools and services to the global biomedical community. For more information, please visitwww.jax.org.

EEO Statement:

The Jackson Laboratory provides equal employment opportunities to all employees and applicants for employment in all job classifications without regard to race, color, religion, age, mental disability, physical disability, medical condition, gender, sexual orientation, genetic information, ancestry, marital status, national origin, veteran status, and other classifications protected by applicable state and local non-discrimination laws.


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