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Remote Data Platform Engineer Jobs in Newburgh, IN

Senior Data Scientist

Francisco, IN ยท On-site +1

$170K - $220K/yr

Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies ... You will collaborate cross-functionally with Engineering, Sales, Finance, Marketing, and Customer ...

Sr Value Engineer - West Coast

Francisco, IN ยท On-site +1

$98K - $135K/yr

You thrive in complex, ambiguous environments with incomplete data, tight timelines, and multi ... We are also open to considering remote candidates who are located within the Pacific Time Zone to ...

Senior Project Engineer

Evansville, IN ยท Remote

$94K - $123K/yr

The work model for this role is: Remote {#LI-Remote} This role is contributing to the ... Leading and supporting commissioning of data centers, paralleling switchgear (PSG), and power ...

This is a remote position. #Li-Remote This role is contributing to the Electrification Smart ... similar platforms. * Must have current authorization to work in the United States for ABB; visa ...

... engineering teams through advanced 3D modeling and coordination. This role involves creating and ... This position is eligible to be fully remote or for work out of our Lexington, KY HQ or our ...

Remote Data Platform Engineer information

See Newburgh, IN salary details

$42.2K

$123K

$168.4K

How much do remote data platform engineer jobs pay per year?

As of Jul 28, 2026, the average yearly pay for remote data platform engineer in Newburgh, IN is $123,035.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,600.00 and $130,400.00 per year, depending on experience, location, and employer.

What is the difference between Remote Data Platform Engineer vs Data Engineer?

AspectRemote Data Platform EngineerData Engineer
CredentialsBachelor's in CS, Data Science, or related; experience with cloud platformsBachelor's in CS, Data Science, or related; experience with databases and ETL tools
Work EnvironmentRemote or hybrid, collaborating with data teams and cloud providersOn-site or remote, focusing on data pipelines and infrastructure
Industry UsageTech, finance, healthcare, and other data-driven sectorsSame industries, often overlapping roles
Search & Comparison IntentHigh overlap, often searched together due to similar skills

The Remote Data Platform Engineer focuses on building and maintaining cloud-based data platforms, ensuring scalability and performance. Data Engineers develop and manage data pipelines, databases, and ETL processes. While roles overlap in skills and industries, the Platform Engineer emphasizes cloud infrastructure, whereas Data Engineers concentrate on data processing and storage.

What are the key skills and qualifications needed to thrive as a Remote Data Platform Engineer, and why are they important?

To thrive as a Remote Data Platform Engineer, you need expertise in data engineering, database management, and cloud platforms, usually supported by a degree in computer science or a related field. Familiarity with tools such as SQL, Python, Spark, AWS, Azure, and certifications like AWS Certified Data Analytics are highly valued. Strong problem-solving, communication, and self-motivation skills help you excel in remote, collaborative environments. These skills and qualities ensure the efficient design, operation, and scaling of robust data platforms that drive business insights and operations.

What are the typical collaboration methods for a Remote Data Platform Engineer working with cross-functional teams?

As a Remote Data Platform Engineer, you will frequently collaborate with data scientists, analysts, and software engineers through virtual meetings, project management tools, and shared documentation platforms. Effective communication is essential, as much of the teamwork happens asynchronously using tools like Slack, Jira, and Confluence. You may participate in regular stand-ups, sprint planning, and code reviews to ensure alignment across the team. Building strong relationships remotely often involves proactive updates and clear documentation to keep all stakeholders informed and projects moving smoothly.

What is a Remote Data Platform Engineer?

A Remote Data Platform Engineer is a professional who designs, builds, and manages large-scale data infrastructure and platforms, while working remotely. They are responsible for ensuring data is efficiently collected, stored, processed, and made accessible for analysis, often using cloud technologies and big data tools. These engineers collaborate with data scientists, analysts, and other engineers to maintain data pipelines and optimize system performance. Their work enables organizations to leverage data for business insights, all while enjoying the flexibility of remote work.
What are popular job titles related to Remote Data Platform Engineer jobs in Newburgh, IN? For Remote Data Platform Engineer jobs in Newburgh, IN, the most frequently searched job titles are:
What job categories do people searching Remote Data Platform Engineer jobs in Newburgh, IN look for? The top searched job categories for Remote Data Platform Engineer jobs in Newburgh, IN are:
What cities near Newburgh, IN are hiring for Remote Data Platform Engineer jobs? Cities near Newburgh, IN with the most Remote Data Platform Engineer job openings:
Senior Data Scientist

Senior Data Scientist

Aircall

Francisco, IN โ€ข On-site, Remote

$170K - $220K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago


Job description

Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams. We're redefining customer communications by bringing voice, SMS, WhatsApp, and AI together into one seamless workspace.
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Our momentum comes from a simple idea: help teams work smarter, not harder. Aircall's AI Voice Agent automates routine calls, AI Assist streamlines post-call work, and AI Assist Pro delivers real-time guidance so people can do their best work. The result is higher revenue, faster resolutions, and teams that scale with confidence.
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Aircall is headquartered in Paris, our European HQ, with a strong North American presence anchored in Seattle, our North American HQ, and teams across Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. We've built a product customers love and a business that's scaling quickly, backed by world-class investors and driven by rapid AI innovation across multiple product lines.
At Aircall, you'll join a company in motion. We're ambitious, product-driven, and execution-focused, with visible impact, fast decisions, and real growth.
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How we work at Aircall: We're customer-obsessed, data-driven, and focused on delivering meaningful outcomes. We value ownership, continuous learning, and thoughtful speed. If you thrive in a collaborative, fast-moving environment where trust and impact matter, you'll feel at home here.

About the team
Our Data team is the backbone of Aircall's decision-making process, driving product development and business growth with cutting-edge data products, tools, and actionable insights
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About the role
As a Data Scientist, you will provide invaluable insights to our product and business teams, working closely with our product and engineering leaders. You'll support impactful initiatives including pricing, packaging, multi-product strategies and self-service approaches. You will collaborate cross-functionally with Engineering, Sales, Finance, Marketing, and Customer Relations to translate data needs into powerful solutions. You'll also establish best practices in analytics and mentor team members, ensuring high standards in data governance and insight generation.
Your Mission @ Aircall:
  • Partner with product and business leaders to define the analytics roadmap and deliver key projects in customer acquisition, engagement, and retention
  • Provide actionable insights and compelling narratives to influence major decisions at the C-level
  • Build a culture of experimentation by designing and executing rigorous A/B tests to measure business impactย 
  • Work closely with data engineers to continuously improve the data stack, governance practices, and analysis quality
A little more about you:
  • 5+ years of hands-on technical experience in a high growth environment
  • Proficiency in SQL for deriving insights
  • Proficiency in Python
  • Data-driven, structured and solution oriented with extensive experience in building rigorous experiments
  • Excellent interpersonal skills and the ability to explain complex data clearly to stakeholders at all levels
  • You have an insatiable curiosity and are biased toward action
$170,000 - $220,000 a year
This is not including equity and other benefits. The actual salary offered will carefully consider a wide range of factors, including your skills, qualifications, and experience.
Why join us?
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Key moment to join Aircall in terms of growth and opportunities
Our people matter, work-life balance is important at Aircall
Fast-learning environment, entrepreneurial and strong team spirit
45+ Nationalities: cosmopolite & multi-cultural mindset
Competitive salary package & benefits
Medical, dental, and vision insurance is 100% covered
ย 401k plan with company matching!
ย Unlimited PTO - take the time you need to come to work feeling great!
ย Wellness, commuter, and childcare reimbursements
ย Generous parental leave policy
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DE&I Statement:ย 
At Aircall, we believe diversity, equity and inclusion - irrespective of origins, identity, background and orientations - are core to our journey.ย 
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We pride ourselves on promoting active inclusion within our business to foster a strong sense of belonging for all. We're working to create a place filled with diverse people who can enrich and learn from one another. We're committed to ensuring that everyone not only has a seat at the table but is valued and respected at it by providing equal opportunities to develop and thrive.ย ย 
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We will constantly challenge ourselves to make sure that we live up to our ambitions around diversity, equity and inclusion, and keep this conversation open. Above all else, we understand and acknowledge that we have work to do and much to learn.
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Want to know more about candidate privacy? Find ourย Candidate Privacy Notice here.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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