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Data Automation Remote Jobs (NOW HIRING)

Tempus

Senior Data Analyst

OR · On-site +1

$90K - $125K/yr

Develop data automation pipelines for data delivery, data handling routines for post-processing of ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Tempus

Senior Data Analyst

$90K - $125K/yr

Develop data automation pipelines for data delivery, data handling routines for post-processing of ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Experian

Program Manager (Remote)

$119K - $214K/yr

You will also help strengthen program management practices through data, automation, and ... Remote candidates will also be considered, with a willingness to travel as needed. You'll have the ...

New

Tempus

Senior Data Analyst

Chicago, IL · On-site +1

$90K - $125K/yr

Develop data automation pipelines for data delivery, data handling routines for post-processing of ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Prim

SCADA Data & Reporting Analyst

Denver, CO · Remote

... Remote Operations Control Center (ROCC). This position will collect, analyze, automate, and ... Identify and implement automation, AI, and process improvement solutions to reduce manual reporting ...

Premier, Inc.

Data Integration Engineer

$117K - $140K/yr

Familiarity with data automation, mining, and integration tools * Strong analytical and problem ... Even though remote work is often done independently, workers must be able to collaborate ...

CCOF

Financial Data & Systems Analyst

... automation, and identifying opportunities to streamline workflows and reduce manual processes. We ... This is a United States-based remote position, operating on a Pacific Time Zone work schedule.

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Data Automation Remote information

What is a data automation remote?

A Data Automation Remote job involves designing, implementing, and managing automated processes for handling data, all while working from a remote location. Professionals in this role use software tools and programming languages to streamline data collection, transformation, integration, and reporting tasks. They help organizations save time, reduce errors, and improve data accuracy by automating repetitive or manual data-related workflows. This job often requires knowledge of data management platforms, scripting languages, and cloud-based services. Remote data automation specialists collaborate with teams virtually and may work across various industries.

What are the key skills and qualifications needed to thrive as a data automation specialist in a remote setting?

To excel as a Data Automation Specialist working remotely, you typically need a solid background in data analysis, scripting languages (such as Python or SQL), and a relevant degree in computer science or a related field. Familiarity with automation tools like Alteryx, UiPath, or Apache Airflow, as well as experience with cloud platforms and APIs, is highly valued. Strong problem-solving skills, self-motivation, and effective virtual communication are essential soft skills for thriving in a remote environment. These competencies ensure efficient data workflow automation, smooth collaboration across distributed teams, and successful project delivery.

What are some typical challenges faced in a data automation remote role, and how can they be managed?

In a remote Data Automation role, common challenges include maintaining clear communication with cross-functional teams, managing data security protocols from various locations, and troubleshooting automation scripts without immediate on-site support. To address these, it's important to use robust collaboration tools, establish regular check-ins with your team, and document your automation processes thoroughly. Additionally, staying proactive about cybersecurity best practices and participating in virtual knowledge-sharing sessions can help you stay aligned and effective in a remote environment.
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Data Automation Remote jobs near you
Infographic showing various Data Automation Remote job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Principal Data Architect

Swift Hire LLC

Menlo Park, CA • Remote

Contractor

Posted 12 days ago

Job description

Principal Data Architect

Location: Menlo Park, CA(Remote) 

Position Overview: We are looking for a forward thinking 10+ Years Data Architect, who is visionary to pioneer the engineering and orchestration of an enterprise-scale, Self-Healing Data Fabric. In this high-impact mandate, you will dismantle traditional, rigid ETL pathways and help implement an intelligent "nervous system" framework where operational metadata is continuously active, enterprise data governance is completely computational, and multi-party data virtualization relies on zero-copy architectures. Mandatory Technical: • Active Metadata Infrastructure: Demonstrated success designing closed-loop data automation pipelines (e.g., building automated engines for metadata-triggered schema self-repair and structural drift remediation). • Advanced Semantic Engineering: Comprehensive mastery of semantic web standards, including RDF, OWL, and SHACL, for building ontology-first structural data models alongside SPARQL for context-aware graph reasoning. • Policy-as-Code Compliance: Production-grade deployment experience utilizing Open Policy Agent (OPA) or equivalent zero-trust policy engines to enforce programmatic, contextual data access control layers. • Caelum or Amundsen push-events: Alongside DataHub's Actions Framework to drive real-time, event-based data quality orchestration and automated schema rollbacks

Note: 

Target Educational Profiles: • Required: Minimum of 10+ years of enterprise data strategy experience. • Preferred: Master's degree or Ph.D. in Computer Science with a core focus on Formal Methods/Symbolic Logic or Computational Mathematics. • Key Focus Areas: Active Metadata, RDF, OWL, SHACL, SPARQL, OPA, Caelum/Amundsen.