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Remote Data Security Engineer Jobs in Indiana (NOW HIRING)

Work closely across multiple stakeholders-including Product, Engineering, Data Science, Security ... Excellent communication skills, with the ability to collaborate across multiple remote teams, share ...

Work closely across multiple stakeholders-including Product, Engineering, Data Science, Security ... Excellent communication skills, with the ability to collaborate across multiple remote teams, share ...

Work closely across multiple stakeholders-including Product, Engineering, Data Science, Security ... Excellent communication skills, with the ability to collaborate across multiple remote teams, share ...

Work closely across multiple stakeholders-including Product, Engineering, Data Science, Security ... Excellent communication skills, with the ability to collaborate across multiple remote teams, share ...

AI and Data Science Engineer III

Indianapolis, IN · On-site +1

$109K - $131K/yr

... data science/ML, security, and platform engineering to deliver reliable, secure, and scalable AI solutions. This role is hands-on and delivery-oriented: you will ship production pipelines and ...

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Remote Data Security Engineer information

How does a Remote Data Security Engineer typically collaborate with cross-functional teams to ensure data protection across different platforms?

As a Remote Data Security Engineer, you will frequently work with software developers, IT administrators, and compliance officers to implement and maintain security protocols. Collaboration often happens via virtual meetings, secure communication channels, and shared documentation tools. You'll be responsible for guiding teams on best practices, conducting security assessments, and assisting in incident response. Effective communication and a proactive approach are key, as you'll need to coordinate across time zones and ensure that security measures are consistently applied throughout the organization.

Can you make $500,000 a year in cyber security?

Remote Data Security Engineers with extensive experience, advanced certifications, and specialized skills in areas like cloud security or threat management can potentially earn salaries approaching or exceeding $500,000 annually, especially in senior or leadership roles. However, such high earnings are uncommon and typically require a combination of expertise, leadership responsibilities, and working in high-demand markets or consulting environments.

What is the difference between Remote Data Security Engineer vs Remote Network Security Engineer?

AspectRemote Data Security EngineerRemote Network Security Engineer
CertificationsCompTIA Security+, CISSP, CISACompTIA Security+, CISSP, CCNP Security
Work EnvironmentFocus on data protection, encryption, and database securityFocus on network infrastructure, firewalls, and intrusion detection
Industry UsageUsed across finance, healthcare, tech for data privacyUsed in telecom, enterprise IT, and cloud services for network security

The Remote Data Security Engineer primarily safeguards data through encryption, access controls, and database security measures. In contrast, the Remote Network Security Engineer concentrates on securing network infrastructure, monitoring traffic, and preventing intrusions. Both roles require similar certifications but focus on different security layers, making them distinct yet complementary in cybersecurity teams.

What engineers make $500,000?

Senior data security engineers, especially those with extensive experience, advanced certifications, and expertise in areas like cryptography and threat mitigation, can earn salaries of $500,000 or more annually. These roles often involve leadership responsibilities, working with complex security systems, and may include bonuses or stock options that contribute to total compensation.

How can I make 2000 a week working from home?

A Remote Data Security Engineer can earn $2,000 or more weekly by working on high-demand projects, consulting, or freelance contracts that pay premium rates. Building specialized skills in cybersecurity tools, certifications like CISSP or CISM, and maintaining a strong professional network can help secure higher-paying remote opportunities. Consistent performance and experience in the field are key to reaching this income level.

What does a Remote Data Security Engineer do?

A Remote Data Security Engineer is responsible for protecting an organization's digital data from unauthorized access, breaches, and other security threats. They design, implement, and maintain security measures such as encryption, firewalls, and intrusion detection systems, all while working remotely. This role involves monitoring systems for vulnerabilities, responding to security incidents, and ensuring compliance with data protection regulations. Collaboration with IT and other departments is common, and staying updated on the latest security trends and threats is essential.

Can security engineers work remotely?

Yes, security engineers can work remotely, especially in roles focused on cybersecurity, network security, and data protection. Many companies offer remote positions that require skills in security tools, cloud platforms, and certifications like CISSP or CompTIA Security+ to ensure effective remote security management.

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

To excel as a Remote Data Security Engineer, you need a strong background in cybersecurity, network architecture, encryption protocols, and a relevant degree or industry certifications like CISSP or CEH. Familiarity with security information and event management (SIEM) systems, cloud security platforms, and vulnerability assessment tools is typically required. Strong analytical thinking, problem-solving, and effective communication skills help you identify threats and collaborate across remote teams. These competencies are crucial for safeguarding sensitive data, ensuring compliance, and maintaining robust security in distributed digital environments.
What are popular job titles related to Remote Data Security Engineer jobs in Indiana? For Remote Data Security Engineer jobs in Indiana, the most frequently searched job titles are:
What cities in Indiana are hiring for Remote Data Security Engineer jobs? Cities in Indiana with the most Remote Data Security Engineer job openings:

Data Engineer/Senior Data Engineer, Data and Science

Aircall

Francisco, IN • On-site, Remote

$130K - $200K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 24 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.
 
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.
 
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.
 
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 role
The Data Engineering team at Aircall works on providing high-quality, reliable, and actionable data. As an AI-first data team, we are currently in a pivotal transition to build a robust semantic layer that will power our AI-first data platform, enabling analytics at speed and democratizing intelligent insights across the company. Some of the key problems we are currently solving include taking charge of data reliability, integrating new sources for raw data ingestion, and building sophisticated data models to power real-time dashboards and predictive analytics.
 
In this role, you will be instrumental in building new datasets for high-impact use cases such as churn prediction and feature adoption, while owning the end-to-end reliability and scalability of our data pipelines. You will work closely with Product and GTM business teams, sitting at the heart of a larger data organization alongside Data Science, Analytics, and Applied Scientists to bridge the gap between raw data and AI-driven decision-making.    
Responsibilities
  • Design, build and maintain core data infrastructure pieces that allow Aircall to support our many data use cases.
  • Enhance the data stack, lineage monitoring and alerting to prevent incidents and improve data quality.
  • Implement best practices for data management, storage and security to ensure data integrity and compliance with regulations.
  • Own the core company data pipeline, responsible for converting business needs to efficient & reliable data pipelines.
  • Participate in code reviews to ensure code quality and share knowledge.
  • Lead efforts to evaluate and integrate new technologies and tools to enhance our data infrastructure.
  • Define and manage evolving data models and data schemas. Manage SLA for data sets that power our company metrics. 
  • Collaborate with applied scientists, data scientists, analysts and other business stakeholders  to drive efficiencies for their work, supporting complex data processing, storage and orchestration
A little more about you:
  • Bachelor's degree or higher in Computer Science, Engineering, or a related field.
  • 3+ years of experience in data engineering, with a strong focus on designing and building data pipelines and infrastructure.
  • Proficient in SQL and Python, with the ability to translate complexity into efficient code.
  • Experience with data workflow development and management tools (dbt, Airflow).
  • Solid understanding of distributed computing principles and experience with cloud-based data platforms such as AWS, GCP, or Azure.
  • Strong analytical and problem-solving skills, with the ability to effectively troubleshoot complex data issues.Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
  • Prior experience designing AI-ready data semantic layer is a major plus, specifically for enabling low-latency, high-fidelity analytics at scale.
  • Experience with data tooling, data governance, business intelligence and data privacy is a plus.
$130,000 - $200,000 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?
 
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
 401k plan with company matching!
 Unlimited PTO - take the time you need to come to work feeling great!
 Wellness, commuter, and childcare reimbursements
 Generous parental leave policy
 
DE&I Statement: 
At Aircall, we believe diversity, equity and inclusion - irrespective of origins, identity, background and orientations - are core to our journey. 
 
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.  
 
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.
 
Want to know more about candidate privacy? Find our 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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