Middle Software Engineer — Query Engine / Data Platform

OpportuLand; United States; Hybrid; USD 101,000 - 135,000; Full time

Job summary

OpportuLand is seeking a Middle-level Software Engineer to work on the core query engine of a large-scale distributed data platform. You will develop features across planning, optimization, and execution, and contribute to performance-critical components for massive analytic workloads across cloud and on-premise sources.

The role emphasizes backend systems, CI/CD with Jenkins, Docker, Kubernetes, and collaboration with US-based teams.

Qualifications

• Education: B.S. or M.S. in Computer Science or related field.
• Proficiency in Java or C++ with strong OOP fundamentals.
• Solid SQL skills and understanding of relational/analytical data systems.
• Experience with data processing systems and backend/systems software.

Responsibilities

• Develop and maintain features across query planning, optimization, execution, and data access layers.
• Write high-quality, performance-conscious code in Java and/or C++.
• Work with SQL semantics, query plans, and execution operators over large-scale data.
• Integrate with columnar formats and connectivity drivers used across the platform.
• Contribute to CI/CD pipelines and automated testing (Jenkins).
• Deploy and validate work in Kubernetes across cloud providers using Docker.
• Debug complex issues spanning planning, distributed execution, memory management, and I/O.
• Collaborate with US-based teams on design reviews and technical decisions.

Skills

Java

C++

SQL

Data processing

Backend

Git

Docker

Kubernetes

Cloud

Jenkins

English

Education

B.S./M.S. in CS/CE

Tools

Docker

Kubernetes

Job description

Middle Software Engineer — Query Engine / Data Platform

Level: Middle Engagement: Long-term contract Location: Europe (EU / EEA / UK), remote Working hours: EU business hours, shifted 2–3 hours later to ensure daily overlap with US West Coast (PST/PDT) mornings

About the Client

Our client is a leading enterprise data platform company building an open, high-performance data lakehouse for AI and analytical workloads. The platform combines an intelligent SQL query engine, an AI-ready semantic layer, and an open catalog built on Apache Iceberg — enabling Fortune 500 companies across finance, energy, manufacturing, and logistics to unify, query, and govern data at massive scale across cloud and on-premise sources.

About the Role

We are looking for a Middle-level Software Engineer to work on the core query engine of a large-scale distributed data platform. You will develop features across query planning, optimization, and execution, contribute to performance-critical components, and help evolve the platform's ability to process massive analytical workloads across heterogeneous data sources. This is a systems‑level, backend engineering role focused on distributed data processing internals — not application development or CRUD services.

Responsibilities

• Develop and maintain features across the query engine — planning, optimization, execution, and data access layers.
• Write high-quality, performance-conscious code in Java and/or C++.
• Work with SQL semantics, query plans, and execution operators over large-scale distributed data.
• Integrate with columnar formats, open table formats, and connectivity drivers used across the platform.
• Contribute to CI/CD pipelines and automated testing — participate in build, test, and release workflows in Jenkins.
• Deploy and validate work in Kubernetes (GKE / EKS / AKS) across GCP, AWS, and Azure using Docker.
• Debug complex issues spanning query planning, distributed execution, memory management, and I/O.
• Collaborate closely with US‑based engineering teams on design reviews, code reviews, and technical decisions.

Required Qualifications

• Education: B.S. or M.S. in Computer Science, Computer Engineering, or a related technical field.
• Programming: Strong proficiency in Java or C++, with solid OOP and software design fundamentals. Candidates comfortable with both are especially valued.
• SQL & Data: Strong SQL skills and solid understanding of relational and analytical data systems, including query execution concepts.
• Data processing systems experience: Hands‑on experience with data processing systems — query engines, distributed databases, ETL/ELT frameworks, or analytical platforms.
• Engineering experience: 3+ years in backend/systems software engineering.
• CI/CD & DevOps basics: Practical experience with Jenkins pipelines and modern development workflows.
• Containers: Working knowledge of Docker and basic Kubernetes (running workloads, debugging pods, kubectl fluency).
• Cloud: Comfortable operating in at least one major cloud (GCP, AWS, or Azure).
• Version Control: Confident with Git / GitHub workflows.
• English: Upper-Intermediate or higher (B2+) — daily written and verbal communication with a US‑based engineering team.
• Availability: Able to work EU hours with a 2–3 hour shift toward US West Coast time to ensure daily overlap with the client team.

Desired Skills

• Experience with Apache Arrow (columnar in‑memory format).
• Familiarity with Apache Calcite (SQL parsing, planning, optimization framework).
• Exposure to Gandiva or LLVM‑based expression compilation.
• Experience with open table formats — Apache Iceberg, Delta Lake, or Hudi.
• Familiarity with distributed computing frameworks (e.g., Apache Spark, Kafka) and MPP SQL query engines (e.g., Presto, Trino, or similar).
• Understanding of query planning, optimization, and execution internals.
• Experience with data connectivity drivers: JDBC, ODBC, Arrow Flight.
• Kubernetes on managed services (GKE / EKS / AKS) and multi‑cloud exposure.
• IaC tools such as Terraform.
• Experience with performance profiling and optimization of latency‑sensitive systems.

Please note: We can consider only candidates currently residing in the EU, EEA, or the UK.