Logo for Resilinc

Senior Data Engineer

Role overview

Qualifications

  • BE/MS in Computer Science, Information Technology, Engineering, or a related field.
  • 5+ years of experience in data engineering, data platform development, or related disciplines.
  • Strong experience with Databricks, Apache Spark, Delta Lake, or similar distributed data processing technologies.
  • Advanced proficiency in Python and SQL, with strong software engineering fundamentals.

Responsibilities

  • Partner directly with enterprise customers and business stakeholders to understand data challenges, define requirements, and deliver scalable solutions.
  • Design, build, and maintain scalable batch and real-time data pipelines and data products using Databricks, ClickHouse, Python, and distributed data processing frameworks.
  • Collaborate closely with Product, Engineering, Solutions Consulting, and Customer Success teams to deliver customer outcomes.
  • Mentor junior engineers and contribute to engineering best practices.

About the company

Resilinc logo

Resilinc

Computer Software / SaaS

We began a movement when we started Resilinc in 2010. A movement towards a resilient, sustainable, fair and secure supply chain. Why does it matter? Because supply chains power life itself. And someone had to make sure they were resilient. Why not us!!! We believe in the power of supply chain to be a force for good, to improve the lives of people and our communities. However, supply chains have been taken for granted for too long and they have slowly become vulnerable, and the lack of transparency and accountability has allowed the dark side of supply chains to negatively affect our communities and cloud our economic future. Our vision is for the world to have a place where suppliers and customers can collaborate securely with transparency and trust as the foundation. For a stronger, resilient, sustainable and fairer supply chain that delivers on the promise of its positive impact on our lives. Today Resilinc’s flagship supply chain visibility, mapping and AI powered monitoring and predictive analytics platform is widely considered the Gold Standard for resilience.Resilinc is where the world’s top companies connect with their suppliers to build resilience. We expose the most vulnerable geographic hotspots, the single points of failure and the “diamond shaped supply chain”.Our PATENTED revenue impact and risk scoring and quantification capabilities pinpoint those critical areas to fix FIRST.Nothing gets past our AI powered scanning system which monitors 100+ languages, automatically connecting incidents in 200+ countries with your supply chain map so you don’t have to spend hours analyzing data when every hour counts.We help you and your suppliers get back in control of your supply chains when things go wrong. Over a decade of success delivering resilience through many serious disruptions. Join the movement. #ResilincYourSupplyChain

Company details

Company typeSME
IndustryComputer Software / SaaS
Company size201 - 500

Your match analysis

See how your profile stacks up against this role.

We compared the job requirements to your profile to show where you're strong and where you fall short.

Job description

Join the Future of Supply Chain Intelligence — Powered by Agentic AI 

At Resilinc, we’re pioneering intelligent, autonomous systems that redefine supply chain risk management. Our agentic AI helps global enterprises predict disruptions, assess impact, and act in real time — before operations are affected. Named a 2025 Gartner® Magic Quadrant™ Leader, we’re trusted by top companies in life sciences & pharma, aerospace & defense, high tech, and automotive to protect what matters most. Be part of a team that's redefining resilience on a global scale.

But the real power behind Resilinc? Our people. We’re a fully remote, mission-led team making sure life-saving products and critical goods get where they’re needed, fast. We offer the chance to do meaningful work in a collaborative, empowering culture—where you can be an agent of change. Join us to tackle critical global challenges through high-impact work that matters.

Check out this blog to learn more about how we are impacting the world's most critical supply chains. Global Supply Chain Risks 2026: Act Faster | TEC 

Resilinc | Innovation with Purpose. Intelligence with Impact. 

At Resilinc, our mission is to make supply chains more resilient through visibility, AI-powered monitoring, and predictive analytics. Our platform is trusted by leading global enterprises to anticipate, assess, and respond to supply chain disruptions.

We are looking for a Senior Data Engineer who combines expertise in modern data platforms with strong customer engagement skills. This role operates at the intersection of Data Engineering, Product, Engineering, and Customer Success, partnering directly with enterprise customers to design, build, and scale data solutions that power business-critical applications and analytics.


What You'll Do

Customer Engagement & Solution Ownership

  • Partner directly with enterprise customers and business stakeholders to understand data challenges, define requirements, and deliver scalable solutions.
  • Own technical delivery for customer engagements from discovery and solution design through implementation and adoption.
  • Help customers maximize the value of Resilinc’s data and analytics capabilities through effective solution design and execution.
  • Present technical architectures, implementation plans, and business outcomes to both technical and executive audiences.
  • Data Platform & Pipeline Engineering

    • Design, build, and maintain scalable batch and real-time data pipelines and data products using Databricks, ClickHouse, Python, and distributed data processing frameworks.
    • Architect modern cloud-native data platforms leveraging Databricks, Delta Lake, Azure Data Services, and distributed processing technologies.
    • Develop robust ETL/ELT frameworks, data models, and data quality monitoring processes.
    • Optimize data storage, query performance, scalability, reliability, and cost efficiency across large-scale datasets.
    • Build and maintain data products that enable analytics, reporting, operational workflows, and AI/ML applications.
    • Engineering Leadership & Collaboration

      • Collaborate closely with Product, Engineering, Solutions Consulting, and Customer Success teams to deliver customer outcomes.
      • Drive best practices in data governance, security, observability, reliability, and operational excellence.
      • Contribute to architecture decisions, technical design reviews, and platform evolution.
      • Mentor junior engineers and contribute to engineering best practices.

What You'll Bring

Core Qualifications

  • BE/MS in Computer Science, Information Technology, Engineering, or a related field.
  • 5+ years of experience in data engineering, data platform development, or related disciplines.
  • Strong experience with Databricks, Apache Spark, Delta Lake, or similar distributed data processing technologies.
  • Experience with cloud-based data platforms and services, including Azure (preferred) or equivalent cloud ecosystems.
  • Experience designing and operating analytical data platforms using ClickHouse or similar high-performance analytical databases.
  • Advanced proficiency in Python and SQL, with strong software engineering fundamentals.
  • Experience building scalable ETL/ELT pipelines, orchestration workflows, and modern data architectures.
  • Strong understanding of data modeling, data warehousing, and analytics platform design.
  • Experience implementing CI/CD, infrastructure automation, and DevOps practices for data platforms.
  • Excellent communication and stakeholder management skills, with the ability to translate business requirements into technical solutions.
  • Ability to navigate ambiguity, drive outcomes independently, and succeed in customer-facing environments.

What Will Make You Stand Out
  • Experience in a Forward Deployed Engineer (FDE), Solutions Engineer, Solutions Architect, Technical Consultant, or customer-facing engineering role.
  • Experience working with Supply Chain, Logistics, Manufacturing, or Enterprise SaaS platforms.
  • Familiarity with data governance, lineage, metadata management, and data catalog solutions.
  • Experience with Infrastructure as Code tools such as Terraform.
  • Exposure to AI/ML platforms, feature engineering pipelines, and data infrastructure supporting Generative AI applications.
  • Experience designing and operating real-time data processing systems and streaming architectures.
  • Demonstrated ability to mentor engineers and lead technical initiatives across teams.
What's in it for you?

At Resilinc, we’re fully remote, with plenty of opportunities to connect in person. We provide a culture where ownership, purpose, technical growth and a voice in shaping impactful technology are at our core. Oh, and the perks? Full-stack benefits for health, wealth and wellbeing to keep you thriving. Check in with your talent acquisition contact for a location-specific FAQ.

Curious to know more about us? Dive in at www.resilinc.ai 

More great news! Resilinc is backed by Vista Equity Partners

Resilinc is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.

If you are a person with a disability needing assistance with the application process please contact HR@resilinc.com.
 
        

Apply once. Then go straight to the hiring manager.

After you apply, unlock the direct contact details of the people who actually make the call. A quick follow-up makes you 5x more likely to land an interview.

MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
Unlocked after you apply
·

Data Engineer Related jobs

Other jobs at Resilinc

Premium

Reach out to the hiring manager directly.

Gain access to the contact details of the hiring managers who actually decide, and reach out to network with them directly. That, plus more when you upgrade:

  • Full match report with fit score and gaps
  • Career diagnostics on how recruiters read you
  • Curated company matches and warm intros
  • 48h early access to new roles

Cancel anytime.