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Remote Dataops Engineer Jobs (NOW HIRING)

Voyager Technologies, Inc.

Senior DataOps Engineer

$107K - $146K/yr

This is a remote position based in the US requiring the ability to obtain a US Government Clearance ... engineering, cloud infrastructure, or DataOps experience in a cloud-first environment.

Tech Tammina

DBT Engineer (GCP)

$117K - $140K/yr

DBT Engineer (GCP) | C2C | Remote * Airflow DAGs, Cloud Composer * BigQuery, Dataplex, Data Fusion ... Python as the primary language (Java/Scala as a plus) * Strong Git workflows, CI/CD, and DataOps ...

Peloton

Data Engineering Manager

New York, NY · On-site +1

This role will be hybrid, not remote. YOUR DAILY IMPACT AT PELOTON * Lead the DataOps function within the Data Engineering team, driving operational maturity, platform reliability, and process ...

Worldmarket

Lead Data Engineer

Alameda, CA · Remote

$155K - $175K/yr

... DataOps, DevOps, and CI/CD to deliver reliable, tested, and scalable functionality through ... This is a fully remote position, with responsibilities that require strong communication skills and ...

World Market

Lead Data Engineer

Alameda, CA · Remote

$155K - $175K/yr

... DataOps, DevOps, and CI/CD to deliver reliable, tested, and scalable functionality through ... This is a fully remote position, with responsibilities that require strong communication skills and ...

Ectobox Inc.

IIoT Engineer (Remote)

Pittsburgh, PA · Remote

$110K - $130K/yr

Industry 4.0 Engineer About Ectobox Ectobox is a Pittsburgh-based remote industrial intelligence ... DataOps, Canary Labs Historian * Develop and maintain tag models, scripting logic, and ...

Lorven Technologies

Director of Engineering

Ontario, Canada - Remote & USA - Remote Experience: up to 15 years * 10-12 years of experience in ... Experience with data clean room solutions, consent platforms, DataOps exposure (data observability ...

Mayo Clinic

$117K - $140K/yr

Experience in DataOps/DevOps and agile methodologies is required. Experience with hybrid data ... 100% remote role, the employee needs to live within the US. Weekend Schedule As business needs ...

Kemper

Data Quality Engineer

Alpharetta, GA · Remote

$111K - $134K/yr

... Remote-OH, Remote-PA, Remote-RI, Remote-VA Details Kemper is one of the nation's leading ... Familiarity with DevOps and DataOps practices for enterprise data platforms. * Experience ...

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Remote Dataops Engineer information

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$38K

$115.9K

$191.5K

How much do remote dataops engineer jobs pay per year?

As of Aug 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:
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 August 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 100% Remote job distribution, with an average salary of $115,864 per year, or $55.7 per hour.

Senior DataOps Engineer

Voyager Technologies, Inc.

Remote

$107K - $146K/yr

Full-time

Medical, Dental, Vision

Posted 13 days ago

Job description

Voyager is an innovative space, defense, and national security technology company committed to advancing and delivering transformative, mission-critical solutions. We tackle the most complex challenges to unlock new frontiers for human progress, fortify national security, and protect critical assets to lead in the race for technological and operational superiority from ground to space.
Forge the Future: Join Voyager Technologies
The future belongs to those who build it. At Voyager Technologies, we're building technologies that protect lives, expand frontiers and prepare us for what's next. And we're doing that with people who are wired to solve, build, adapt and lead. These roles are not for the faint of heart.
You'll help lay the foundation for humanity's future. Join a culture where innovation thrives, curiosity is rewarded, and impact is real. We're a company of doers, thinkers and builders, united by purpose and grounded in reality.
If you want to put your skills to work where the stakes are real and the mission is bigger than any one person, forge the future with Voyager.
Job Summary
The DataOps Engineer is responsible for designing, building, and operationalizing data infrastructure that powers the organization's analytics and business intelligence capabilities. This role sits at the intersection of data engineering, cloud architecture, and DevOps - owning end-to-end data pipelines, platform reliability, data quality, and cloud infrastructure in a regulated environment. Responsibilities span data pipeline development, cloud migrations, platform operations, and infrastructure management across multi-cloud environments.
The ideal candidate is fluent in hands on coding of Python or PowerShell, experienced with infrastructure-as-code tools (Terraform, CloudFormation, Ansible), and comfortable owning both data engineering and cloud infrastructure responsibilities in a cleared, compliance-driven environment. This is a remote position based in the US requiring the ability to obtain a US Government Clearance.
Key Responsibilities
Cloud Migration & Infrastructure
  • Lead the end-to-end migration of data workloads from AWS Commercial to AWS GovCloud, including S3, Glue, Redshift, IAM, VPC, Lambda, and CloudWatch.
  • Identify and resolve service parity gaps between commercial and GovCloud environments; validate data integrity, encryption posture, and access controls post-migration.
  • Set up and administer enterprise Git repositories (GitHub, Azure DevOps, or GitLab) for the data and analytics team, including branching strategy, access controls, and code review workflows.
  • Migrate existing scripts, pipelines, and artifacts into version-controlled repositories and enforce DataOps source control best practices across the team.
  • Ensure all migrated and provisioned resources comply with NIST 800-171, DFARS, CUI, and ITAR/EAR handling requirements.
  • Administer and optimize cloud data services across AWS GovCloud (S3, Glue, Redshift, Lambda) and Azure Government (Synapse, ADF, ADLS Gen2, Databricks).
  • Manage infrastructure-as-code for all data platform resources using Terraform and CloudFormation (required); Ansible preferred for configuration management.
  • Monitor cloud resource utilization, enforce cost governance, and implement right-sizing recommendations for data workloads.
  • Maintain backup, disaster recovery, and business continuity procedures for all data platform services.
  • Serve as Tier 3 support for complex cloud infrastructure and data incidents; perform root cause analysis and implement preventive measures.
Data Pipeline Development & Orchestration
  • Design, build, and maintain scalable ELT/ETL pipelines using Microsoft Fabric Data Factory, Azure Data Factory, Apache Airflow, and DBT.
  • Architect end-to-end data flows from ingestion through transformation to serving layers, ensuring reliability, lineage, and observability.
  • Implement real-time and batch data streaming using Apache Kafka, Azure Event Hubs, and Fabric Eventstream.
  • Automate pipeline monitoring, alerting, and self-healing mechanisms to minimize manual intervention.
Microsoft Fabric Platform Ownership
  • Serve as a platform engineer for Microsoft Fabric, including OneLake, Lakehouse, Warehouse, Data Factory, and Fabric Notebooks.
  • Design and govern OneLake architecture including workspace topology, shortcut strategy, and medallion (Bronze/Silver/Gold) layer design.
  • Integrate Fabric with enterprise systems including Microsoft 365 GCC High, Azure Government, Dynamics 365, and third-party data sources.
  • Configure Fabric capacity management, workspace permissions, and security in alignment with NIST 800-171 and DFARS requirements.
Data Architecture & Modeling
  • Lead the design of enterprise data models including star schema, snowflake schema, and Data Vault 2.0 patterns.
  • Architect Lakehouse, data warehouse, and data mesh topologies to serve analytical, operational, and reporting workloads.
  • Define and enforce naming conventions, semantic layer standards, and reusable data assets using Power BI semantic models and Fabric Direct Lake.
  • Collaborate with stakeholders to translate business requirements into scalable data architecture solutions.
DataOps Practices & CI/CD
  • Implement DataOps principles: automated testing, version-controlled pipelines, and continuous delivery for data assets.
  • Build and maintain CI/CD pipelines (Azure DevOps, GitHub Actions) for deploying data pipelines, models, and Fabric artifacts.
  • Write and maintain automation scripts in Python and/or PowerShell to support migration, provisioning, and operational workflows.
  • Containerize and orchestrate workloads using Docker and Kubernetes (AKS) for portable, scalable processing.
Data Quality & Governance
  • Implement data quality frameworks including automated profiling, validation rules, anomaly detection, and SLA monitoring.
  • Manage data lineage, metadata cataloging, and access governance using Microsoft Purview.
  • Enforce data classification policies for CUI, ITAR-controlled, and export-sensitive data across all pipeline stages.
  • Partner with compliance and cybersecurity teams to ensure data governance controls satisfy audit and regulatory requirements.
Monitoring, Troubleshooting & Support
  • Proactively monitor pipeline health, data freshness, and system performance using Fabric monitoring hub, Azure Monitor, and Log Analytics.
  • Document incident response procedures, runbooks, and architecture decisions (ADRs).
Collaboration & Documentation
  • Partner with data analysts, data scientists, and business stakeholders to deliver reliable data products that drive decision-making.
  • Create and maintain thorough documentation for pipeline design, data dictionaries, security controls, and compliance evidence.
  • Participate in architecture reviews, sprint planning, and cross-functional data governance committees.
Technical Skills
Cloud Platforms
  • AWS GovCloud: S3, Glue, Redshift, IAM, VPC, Lambda, CloudWatch - including commercial-to-GovCloud migration experience
  • Azure Government: ADLS Gen2, Azure Synapse Analytics, Azure Data Factory, Azure Databricks, Azure Monitor, Microsoft Purview
  • Compliance Configurations: NIST 800-171, DFARS, FedRAMP, CUI/ITAR/EAR handling across both cloud environments
Infrastructure as Code & Automation
  • Required: Terraform, AWS CloudFormation
  • Preferred: Ansible - configuration management and environment automation
  • Supporting: Bicep / ARM Templates for Azure Government resources
Scripting & Programming (Required - Python or PowerShell)
  • Python - pandas, PySpark, SQLAlchemy, pipeline scripting, automation
  • PowerShell - infrastructure automation, Azure/AWS resource management, scripting
  • T-SQL / Spark SQL - complex query optimization, window functions, CTEs
  • PySpark / Scala - distributed data processing on Databricks and Fabric Spark
  • KQL (Kusto Query Language) - log analytics and Fabric KQL databases
Source Control & DevOps
  • Git - repository setup, branching models, access management
  • CI/CD: Azure DevOps Pipelines, GitHub Actions, GitLab CI
  • Containers: Docker, Kubernetes (AKS)
Microsoft Fabric & Azure Ecosystem
  • Core Platform: Microsoft Fabric - OneLake, Lakehouse, Warehouse, Data Factory, Eventstream, Fabric Notebooks, KQL Database; Direct Lake mode, Fabric capacities, workspace governance
  • Supporting: Azure Data Lake Storage Gen2, Azure Synapse Analytics, Azure Databricks, Azure Event Hubs, Azure Monitor, Microsoft Purview; Azure Government & Microsoft 365 GCC High compliance configurations
Data Pipeline & Orchestration Tools
  • Apache Airflow - DAG design, dependency management, sensor patterns
  • dbt (data build tool) - transformation logic, testing, documentation, incremental models
  • Apache Kafka / Azure Event Hubs - real-time streaming architecture
  • Talend, Informatica - legacy ETL/ELT integration patterns
Data Architecture
  • Medallion architecture (Bronze / Silver / Gold Lakehouse layers)
  • Star schema, snowflake schema, Data Vault 2.0
  • Data mesh and domain-oriented data ownership patterns
  • Semantic layer design (Power BI semantic models, calculation groups)
Database & Storage Systems
  • Relational: PostgreSQL, Microsoft SQL Server, Azure SQL
  • NoSQL: MongoDB, Cassandra, Redis, Cosmos DB
  • Cloud Storage: ADLS Gen2, AWS S3, OneLake
Data Quality & Governance
  • Microsoft Purview - data catalog, lineage, classification, policy
  • Great Expectations, DBT tests - automated data quality validation
  • Data classification and handling for CUI, ITAR, and EAR-controlled information

If your experience aligns with our basic qualifications and you are inspired by our mission, we'd like to connect. If you don't see the right role right now, Join Our Talent Community and stay connected as we continue to build what's next.
Required Qualifications
  • Must have extensive experience leading end-to-end migration of data workloads from AWS Commercial to AWS GovCloud, including S3, Glue, Redshift, IAM, VPC, Lambda, and CloudWatch.
  • Must be able to demonstrate your ability to script & Program using Python or PowerShell.
  • Travel, Physical and/or Government Mandated Requirements:
    • Travel up to 10-15%, including the possibility of overnights to support customer reviews and test events
    • U.S. Citizenship required due to federal contract eligibility
    • Must have or be able to obtain and maintain an active DoD Secret Clearance
    • Must comply with ITAR regulations
Education & Experience
  • Bachelor's degree in computer science, Information Technology, Data Engineering, or a related field; or equivalent hands-on experience.
  • 8+ years of data engineering, cloud infrastructure, or DataOps experience in a cloud-first environment.
  • Demonstrated hands-on experience migrating workloads to or within AWS GovCloud or Azure Government strongly preferred.
  • 2+ years of hands-on experience with Microsoft Fabric or Azure Synapse Analytics.
  • Demonstrated experience in regulated environments (aerospace, defense, government contracting) with NIST 800-171 and DFARS compliance.
  • Proven ability to architect and deliver enterprise-grade data platforms from greenfield to production.
Soft Skills
  • Comfortable owning both data and infrastructure responsibilities - a generalist who can go deep when needed.
  • Strong ability to translate complex technical architecture into clear communication for business stakeholders.
  • Collaborative mindset - experienced working across data, analytics, cybersecurity, and compliance teams.
  • Detail-oriented with strong documentation habits in compliance-sensitive environments.
  • Proactive problem-solver with a continuous improvement orientation toward data reliability and platform scalability.
Preferred Qualifications-Highly desired
  • AWS Certified Solutions Architect - Associate or Professional
  • AWS Certified Data Analytics - Specialty
  • HashiCorp Certified: Terraform Associate
  • Microsoft Certified: Fabric Analytics Engineer Associate (DP-600)
  • Microsoft Certified: Azure Data Engineer Associate (DP-203)
  • Microsoft Certified: Azure Solutions Architect Expert
  • Databricks Certified Data Engineer Associate / Professional
  • DBT Certified Developer
  • CompTIA Security+ or CySA+

The good faith base salary rangefor this role is$150,000-$180,00 at the time of this posting. Where you fall within the range depends on your experience, skills, and location. This range reflects base salary only and does not include benefits or bonus/incentive. This range may be adjusted in the future.
Voyager offers a highly competitive total compensation package designed to support the well-being, growth, and success of our employees. Employees benefit from a flexible and comprehensive rewards program that supports both professional and personal well-being.
  • Flexible Time Off (FTO), empowering employees to take the time they need to recharge and maintain a healthy work-life balance
  • Comprehensive medical, dental, and vision coverage for employees and their families, wi

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