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Data Automation Remote Jobs (NOW HIRING)

Remote - Milwaukee, WI Duration : 6 to 12 Months Contract Key Responsibilities: Develop and ... Maintain and update test documentation, including test plans, test cases, and test data. Perform ...

Washington, DC (Remote) Type: Contract To Hire Compensation: $48.95 /hr Security Clearance: Public Trust Responsibilities * Design and maintain data pipelines in AWS using S3, RDS/SQL Server, Glue ...

Washington, DC (Remote) Type: Contract To Hire Compensation: $48.95 /hr Security Clearance: Public Trust Responsibilities * Design and maintain data pipelines in AWS using S3, RDS/SQL Server, Glue ...

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Data Automation Remote information

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.

What is a Data Automation Remote job?

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, and why are they important?

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.
More about Data Automation Remote jobs
What cities are hiring for Data Automation Remote jobs? Cities with the most Data Automation Remote job openings:
What are the most commonly searched types of Data Automation jobs? The most popular types of Data Automation jobs are:
What states have the most Data Automation Remote jobs? States with the most job openings for Data Automation Remote jobs include:
Infographic showing various Data Automation Remote job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.
News Data Automation Lead, Content at McLean, Virginia

News Data Automation Lead, Content at McLean, Virginia

disABLEDperson Inc

Remote

Other

Posted 3 days ago


Job description

News Data Automation Lead, Content AI

The USA TODAY NETWORK is seeking a News Data Automation & AI Workflow Lead to help design, build, and scale the next generation of datadriven and AIassisted journalism across the nation's largest local news organization. This role is ideal for a wellrounded and innovative newsroom technologist - someone who is deeply skilled in data automation and scraping, but who also brings strong news judgment, comfort with emerging AI tools, and the ability to think beyond a single pipeline or use case. The successful candidate will help lead the development of automated workflows, AIassisted tools, and newsroomready products that turn public data sources into the raw material our journalists need to do impactful work. This is a handson role that blends technical execution, experimentation, and leadership. On some days, the work will involve building or troubleshooting data pipelines and automation systems. On others, it will focus on ideation, product testing, mentoring, workflow design, and translating technical concepts into clear guidance for editorial partners. This role is remote and can be based anywhere in the US, except for Alaska, Hawaii and Wyoming.

The USA TODAY Network serves communities across hundreds of markets. Many of the most important stories in local journalism begin with a signal hidden in data or surfaced through automation. This role exists to help the Network find those signals faster, build smarter tools around them, and ensure journalists can act on them confidently and consistently. By combining data automation expertise with AI experimentation, newsroom collaboration, and workflow leadership, this role helps ensure technology meaningfully strengthens local journalism - not just produces output.

A strong technical practitioner with handson newsroom experience in data automation and scraping, who is also curious, adaptable, and comfortable working across disciplines.

Someone who enjoys moving between building, explaining, and improving systems, not just writing code in isolation.

A collaborator who can translate technical language into newsroomfriendly terms and help others understand how tools can support their work.

Comfortable operating in a fastmoving environment where priorities evolve and experimentation is encouraged.

Grounded in journalistic values, with a clear understanding of accuracy, ethics, and editorial responsibility.

In the first 90 days, you will:

  • Audit existing data automation and AIassisted workflows and recommend which should be maintained, narrowed, redesigned or retired.
  • Stabilize and document at least one highvalue existing pipeline or internal tool.
  • Begin building or redesigning at least one priority workflow around a timely, highvalue public dataset, including a clear plan for AIassisted components where appropriate.

Within six months, you will:

  • Deliver a focused set of reliable, documented pipelines and/or tools centered on highpriority local signals.
  • Create newsroomready output formats and utilities that make those signals actionable quickly and consistently for multiple markets.
  • Help shift resources away from lowvalue recurring automation and toward betterdifferentiated data and AIdriven opportunities.

Within 12 months, you will:

  • Establish a durable portfolio of datadriven and AIassisted workflows that support the Network's automation and audiencegrowth strategy.
  • Demonstrate that those workflows are producing actionable journalism opportunities, meaningful audience value and clear timesavings for local newsrooms.
  • Build systems that are resilient, scalable and useful across multiple markets without requiring constant reinvention.

Build, maintain, and improve data automation pipelines, scrapers, APIs, and AIassisted workflows that support highvalue newsroom use cases.

Identify, acquire, and structure highimpact datasets and signals that can drive timely, differentiated coverage across local markets.

Design and implement AIenabled tools and templates that help journalists move faster while maintaining high editorial standards.

Work directly with editorial leaders, reporters, and automation teams to translate newsroom needs into technical solutions.

Prototype, test, and refine new automation and AI workflows, balancing speed, reliability, and editorial usefulness.

Troubleshoot automation, data, or tool issues as they arise, providing clarity and guidance to partners across the newsroom.

Help evaluate existing automation efforts and recommend which should be expanded, refined, redesigned, or retired based on value and impact.

Develop newsroomready outputs that may include story drafts, alerts, tip sheets, reporting leads, dashboards, or other editorial tools, depending on the use case.

Mentor and support journalists and teammates using automation and AI tools, helping raise overall technical fluency and confidence.

Clearly document workflows and systems so they are understandable, resilient, and scalable beyond a single owner.

Stay current on developments in AI, data automation, and newsroom technology, and help envision future use cases that responsibly support journalism.

Bachelor's degree in journalism, communications, data science, computer science or a related field. Equivalent work experience welcomed.

3-5 years of experience in journalism, data journalism, newsroom automation, computational journalism, software development, or a closely related field.

Strong technical skills, including experience with Python, scraping, APIs, data cleaning, and workflow automation.

Demonstrated ability to work with messy, realworld data and turn it into reliable, usable systems.

Strong news judgment and a clear understanding of what makes a local data signal genuinely reportable, useful and differentiated.

Familiarity with AI tools and the broader generative AI landscape, including benefits, risks, and responsible use in journalism.

Strong communication skills, including the ability to document technical processes and explain them to nontechnical partners.

Proven ability to manage multiple projects and priorities in a deadlinedriven environment.

Experience in a local newsroom or in work serving multiple local markets.

Experience building or maintaining automated journalism workflows endtoend.

Familiarity with CMS workflows and digital publishing operations.

Experience designing alerts, triggers or thresholdbased systems for editorial use.

Experience working with public records or watchdogstyle datasets such as inspections, enforcement actions, labor notices, court records, licensure data or government records.

Experience using AI tools to support data processing, classification, summarization, or workflow efficiency.

Application Instructions: We are eager to learn more about you and how you fit this role. When you apply, don't limit your upload to a resume; show us what you've done. To do so, put together a single document file that includes the following, in this order: 1. Your resume - one to two pages. 2. A cover letter outlining how you would approach the role. 3. Links to no more than three published stories, writing samples.

It is important that these items be assembled into a single document and uploaded in PDF format. Completing these steps will ensure that your application receives the highest consideration.