Data Engineer

As a Data Engineer, you will design, build, and operate scalable data platforms that transform massive volumes of structured and unstructured information into reliable, actionable intelligence. You will develop high-performance data pipelines and distributed services across public cloud platforms and on-premises environments. Combining software engineering expertise with infrastructure and platform engineering skills, you will help deliver resilient, efficient, and secure data solutions. You will work with technologies such as Java, Python, Kafka, Kubernetes, and modern database systems to support demanding data processing workloads. Collaborating with customers, integration teams, and solution architects, you will contribute to successful deployments and continuous platform improvement. This remote opportunity is suited to an experienced engineer who enjoys solving complex technical challenges and working with globally distributed teams.

The ideal candidate will have strong software engineering fundamentals, hands-on experience operating data platforms, and the ability to troubleshoot complex distributed systems. You should be comfortable working across application development, cloud infrastructure, and production operations. Key qualifications include:

• At least 5 years of experience in Data Engineering, Software Engineering, or Platform Engineering.

• Strong programming skills in Java and/or Python.

• Hands-on experience with Kubernetes and containerized applications, particularly Docker.

• Practical experience with AWS, GCP, or other public cloud platforms.

• Experience supporting or operating hybrid cloud and on-premises environments.

• A solid understanding of distributed systems and multithreaded applications.

• Experience working with SQL and NoSQL databases.

• Demonstrated experience building, deploying, and operating production-grade data pipelines.

• Strong troubleshooting, operational, and performance optimization skills.

• Excellent communication and collaboration skills, including the ability to work effectively with technical teams and customers.

• Willingness and ability to travel domestically and internationally when required.

• • Base salary: $100,000–$120,000 per year, depending on qualifications, experience, location, skills, and performance.

  • Additional compensation: Potential eligibility for commission and short- and long-term incentives as part of the overall compensation package.

  • Health insurance: Health insurance coverage.

  • Life and disability insurance: Coverage to support employee protection and financial security.

  • Retirement savings: 401(k) plan with employer matching.

  • Paid time off: Paid holidays and paid time off (PTO).

  • Remote work: Work remotely from the United States, provided you reside in the Eastern or Central time zone.

  • Technical growth: Opportunities to work with distributed systems, large-scale data platforms, Kubernetes, and cloud-native technologies across complex deployment environments.

  • Customer and team collaboration: Work with experienced colleagues and technical partners on challenging data engineering and platform delivery projects.