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Remote Startup Data Engineer Jobs in Indiana (NOW HIRING)

$106.60K - $128K/yr

The role We're looking for a Data Engineer (m/f/d) to build and improve internal data solutions ... Experience in startup environments (fast-moving, hands-on, limited resources) * Strong skills in ...

This role is ideal for an engineer eager to grow and contribute to scalable, reliable services in a ... Ideally, we would love someone with experience in a startup or small company, but if not ...

This is a remote position. We do not offer visa sponsorship or assistance. Resumes and ... Collaborate closely with engineering on data instrumentation, pipeline design, deployment, and ...

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation ... Be responsible for projects from technical specification to startup support. * Develop contingency ...

Posting Type Remote/Hybrid Job Overview Relativity is aprivate equity-backed, legal data ... startup. and Requirements What We Do At Relativity, engineersdon'tjust write code -they shape how ...

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Remote Startup Data Engineer information

What is the difference between Remote Startup Data Engineer vs Remote Startup Data Analyst?

AspectRemote Startup Data EngineerRemote Startup Data Analyst
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentBuilding data pipelines, infrastructureInterpreting data, creating reports
Employer & Industry UsageTech startups, SaaS companiesMarketing agencies, e-commerce startups
Common Search & ComparisonOften compared for technical depth and infrastructure focusCompared for data interpretation and business insights

The main difference between a Remote Startup Data Engineer and a Remote Startup Data Analyst lies in their focus areas. Data Engineers build and maintain data infrastructure, while Data Analysts interpret data to inform business decisions. Both roles are essential in startups but require different skill sets and responsibilities.

What are the most commonly searched types of Startup Data Engineer jobs in Indiana? The most popular types of Startup Data Engineer jobs in Indiana are:
What job categories do people searching Remote Startup Data Engineer jobs in Indiana look for? The top searched job categories for Remote Startup Data Engineer jobs in Indiana are:
What cities in Indiana are hiring for Remote Startup Data Engineer jobs? Cities in Indiana with the most Remote Startup Data Engineer job openings:

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

Transparent Hiring

Remote

$106.60K - $128K/yr

Other

Posted 7 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.