We are hiring: Big Data Engineer – 06-August-2026 US Remote

Hiring Organization: BigData Scale

Client ID: 742QMTR

Job ID: 839LKPV

Role Overview

BigData Scale is looking for a pioneering, technically proficient, and highly motivated Big Data Engineer to join our remote-first infrastructure team. In this full-time role, you will be responsible for designing, building, and maintaining the distributed systems that process petabytes of data for our high-impact products. We value expertise in distributed computing, performance tuning, and scalable architecture design. Whether you are an experienced big data specialist or a talented fresher looking for a supportive environment to build your career at the bleeding edge of data technology, we offer a mentorship-rich culture where your contributions will directly impact our infrastructure’s performance and scalability.

Key Responsibilities

• Design, build, and maintain massive-scale data architectures using distributed computing frameworks.
• Manage and optimize distributed computing clusters (e.g., Apache Spark, Flink, Hadoop).
• Develop and optimize real-time streaming data pipelines for high-velocity data ingestion.
• Ensure platform scalability, availability, and fault tolerance across distributed environments.
• Collaborate with data scientists and engineers to support large-scale analytical and machine learning workloads.
• Debug and resolve complex performance issues in distributed data pipelines and storage systems.
• Participate in peer code reviews and architectural planning to maintain high engineering standards.
• Contribute to the continuous improvement of internal CI/CD pipelines and automated testing frameworks.
• Research and implement new big data technologies to enhance system throughput and efficiency.
• Document data architecture, processing workflows, and operational best practices for long-term maintenance.

Required Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, or a related technical field.
• Strong proficiency in Python, Scala, or Java, with deep knowledge of big data processing frameworks (Spark, Flink, etc.).
• Solid understanding of distributed systems architecture, concurrency, and data storage design.
• Experience managing distributed environments (YARN, Mesos, Kubernetes).
• Familiarity with version control systems like Git.
• Excellent communication skills and the ability to work effectively in a remote, distributed team.
• A proactive, problem-solving mindset and a passion for working with large-scale data systems.
• Freshers with strong academic foundations in distributed systems or data engineering projects are encouraged to apply; we provide extensive mentorship.
• Reliable high-speed internet connection for consistent, professional virtual collaboration.

Preferred Skills

• Experience with cloud-native big data services (AWS EMR, Databricks, GCP Dataproc).
• Knowledge of NoSQL databases (Cassandra, HBase, DynamoDB).
• Experience with messaging queues (Kafka, Pulsar).
• Familiarity with containerization (Docker, Kubernetes) for big data infrastructure.
• Understanding of performance tuning for distributed applications.

What We Offer

• Competitive Annual Salary: $248,650.
• 100% remote flexibility from any location in the United States.
• Comprehensive health, dental, and vision insurance packages.
• Retirement savings plan with company matching contributions.
• Generous Paid Time Off (PTO), including holidays and personal wellness days.
• Structured career development, mentorship, and support for professional certifications.
• A highly collaborative, inclusive, and mission-driven engineering culture.

Employment Details

Workplace Type: Remote

Location: United States (US)

Job Type: Full-Time

Employment Type: FULL_TIME

Employer Address: 800 ScaleWay, Suite 300, Austin, TX 78701

Freshers Can Apply: Yes

Standard Application Notice

BigData Scale is an equal opportunity employer. We value diversity and are committed to creating an inclusive culture for all employees. All hiring decisions are based on merit, qualifications, and the business needs of the organization. Please submit your application using the form below.