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Data Automation Remote Jobs (NOW HIRING)

Transparent Hiring

$106K - $128K/yr

This is a hands-on role focused on data automation, pragmatic system design, and shipping working ... Remote-first across Germany and the US (offices available). * Relocation to Germany is supported by ...

Takeda

Head, R&D Automation Platform

Boston, MA · On-site +1

$220K - $333K/yr

... clinical data control and quality in a predictable, automated & cost-effective way; in ... remote work allowed. The estimated salary range reflects an anticipated range for this position.

Spokeo

Senior Data Engineer

Pasadena, CA · On-site +1

$143K - $174K/yr

Founded in 2006, Spokeo has built a dedicated, remote-first team with an average tenure of 6.9 ... This role will help build and improve data products, automation platform features, analytical ...

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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
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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:
What job categories do people searching Data Automation Remote jobs look for? The top searched job categories for Data Automation Remote jobs are:
Data Automation Remote jobs near you
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.

Data Engineer (m/f/d) - Germany / Remote-first (DE & US)

Transparent Hiring

Remote

$106K - $128K/yr

Other

Posted 16 days ago

Job description

Transparent Hiring is recruiting on behalf of our partner company, a fast-growing reinsurance company operating across Germany and the United States. Corporate language: English. The environment is collaborative, hands-on, and driven by a strong "build and ship" mindset.

This is a hands-on engineering role. You will design and build solutions from scratch with limited resources by combining and adapting existing tools.

The role

We're looking for a Data Engineer (m/f/d) to build and improve internal data solutions that make workflows and data more reliable and scalable. This is a hands-on role focused on data automation, pragmatic system design, and shipping working solutions.

What you'll do

  • Own the delivery of scalable internal data solutions (end-to-end, not just concepts)

  • Translate business needs into clear technical designs and working systems

  • Build and improve data pipelines, integrations, and automation

  • Establish foundations for data reliability, reporting, and operational tooling

  • Collaborate closely with stakeholders across Germany and the US

What you bring (must-have)

  • 5+ years of proven experience building and delivering data solutions in production

  • Experience in startup environments (fast-moving, hands-on, limited resources)

  • Strong skills in Python and SQL

  • Experience creating solutions from scratch with limited resources-combining existing tools/solutions and adapting them to specific needs

  • Solid understanding of data architecture, system design, and integration patterns

  • Fluent professional English (spoken + written)

Nice to have

  • Experience in insurance, reinsurance, banking, or finance

  • Familiarity with cloud platforms and modern data tooling

Location & working model

  • Remote-first across Germany and the US (offices available).

  • Relocation to Germany is supported by Transparent Hiring if the candidate is based outside Germany, and wants to relocate.

If this sounds like the kind of hands-on role you enjoy, apply with your CV or LinkedIn profile - we'd love to hear from you.

Apply