Senior Software Engineer, Big Data

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October 8

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BPK Technologies

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B2B • Enterprise • Artificial Intelligence

BPK Technologies is a custom software development and IT services company that provides cloud-native application development, data warehousing and integration, AI/ML/LLM solutions, CRM and KPI dashboard implementations, Azure management and app modernization, and offshore/on-demand development and staff augmentation. The firm serves a wide range of industries (including banking/finance, healthcare, education, construction and retail) and emphasizes Agile delivery, data security and compliance (including HIPAA), rapid MVP delivery, and long-term technical support and consulting.

51 - 200 employees

Founded 2007

🤝 B2B

🏢 Enterprise

🤖 Artificial Intelligence

📋 Description

• Lead the design and development of distributed systems, data pipelines, and ML infrastructure with a focus on scalability and reliability • Own end-to-end delivery of key features and services across the full SDLC—design, implementation, testing, deployment, and operations • Drive innovation in Big Data, Generative AI, and Graph ML by translating emerging technologies into production-ready systems • Build and optimize scalable, real-time analytic systems powering AI Agents • Mentor junior and mid-level engineers, provide technical guidance, and promote engineering best practices • Collaborate across teams to ensure solutions are resilient, secure, and high-performing

🎯 Requirements

• Degree in Computer Science, Mathematics, or a related field • 8+ years of experience across the full software development lifecycle (design, coding, reviews, testing, deployment, operations) • 5+ years of experience with distributed Big Data systems (e.g., PySpark, Lakehouse, Kafka, Debezium, Hudi, Druid, Flink, Spark Streaming) • Experience with sensitive or streaming data pipelines, including governance and compliance requirements • Experience with Graph technologies (e.g., GNNs) • Proven track record of delivering complex, high-impact software systems in production • Experience deploying large-scale solutions on cloud platforms (AWS, Azure, GCP) • Strong problem-solving skills and ability to excel in ambiguous environments

🏖️ Benefits

• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Remote work options