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Qode

<div>Job Title: Sr.Data Engineer (Mid&ndash;Senior Level) &ndash; AWS &amp; StreamingExperience Level &ndash; 13-15+ YearsLocation: Fort Mill, SC (3 days hybrid)Role Summary: We are seeking a Mid&ndash;Senior Data Engineer with strong expertise in AWS-based data engineering, real-time streaming technologies, and enterprise-grade data quality frameworks. The ideal candidate will design, build, and optimize scalable batch and streaming data pipelines, implement robust data validation and monitoring processes, and support mission-critical analytics platforms. Key Responsibilities:<ul><li>
Develop and maintain scalable ETL/ELT pipelines using AWS Glue, PySpark, and Python</li><li>
Build event-driven workflows using AWS Lambda</li><li>
Design and manage real-time streaming solutions using Kafka, KSQL, and Apache Flink</li><li>
Implement and enforce comprehensive data quality frameworks, including validation, profiling, monitoring, and reconciliation</li><li>
Optimize data processing performance, scalability, reliability, and cost in cloud environments</li><li>
Collaborate with cross-functional teams to deliver reliable, production-grade data platforms and ensure data integrity across the pipeline</li></ul>
 Must have Skills:<ul><li>
Strong hands-on experience with Python and PySpark</li><li>
Proven expertise in AWS Glue, Lambda, and other cloud-native data services</li><li>
Solid experience with the Kafka ecosystem (topics, partitions, consumer groups, streaming patterns)</li><li>
Demonstrated experience building and supporting data quality frameworks (validation rules, reconciliation checks, profiling, anomaly detection)</li><li>
Strong understanding of distributed data processing and scalable architecture patterns</li></ul>
 Good-to-Have Skills:<ul><li>
Experience with Apache Flink for real-time stream processing and stateful computations</li><li>
Knowledge of KSQL or other streaming SQL engines</li><li>
Exposure to CI/CD pipelines, IaC (Terraform/CloudFormation), and DevOps practices</li><li>
Familiarity with data lake/lakehouse architectures and table formats such as Iceberg, Delta, or Hudi</li><li>
Experience working in enterprise or financial data environments</li></ul></div>

Sr. Data Engineer

<div>Senior Sales Engineer &ndash; OT/IoT CybersecurityLocation: ColoradoThe Mission: Bridge the gap between complex industrial security requirements and executive-level business outcomes. You aren't just selling software; you are architecting resilience for the European grid.The Tech: Deep familiarity with OT Environments. You should be comfortable discussing Layer 2/3 segmentation and how to secure legacy OT devices without disrupting uptime.Comp: $175k Base + plus Variable. 
Key Responsibilities<ul><li>
Technical Sales Support: Work with Regional Sales Directors to drive sales cycles, delivering presentations and technical demonstrations.</li><li>
Customer Engagement: Serve as the technical focal point for clients, identifying requirements and designing tailored solutions.</li><li>
Proof of Concepts (POC): Lead the implementation and evaluation of POCs to prove product value.</li><li>
Partner Training: Train and enable partners to effectively position and sell client solutions.</li></ul> 

Qualifications<ul><li>
Experience: Proven experience as a Security Consultant, System Engineer, or in a similar customer-facing technical role.</li><li>
Technical Skills: Deep understanding of complex network protocols and Cybersecurity (specifically IT/OT convergence and ICS security).</li><li>
Certifications: Certifications such as CISSP, GICSP, CISA, or CCNA are highly valued.</li><li>
Education: Bachelor&rsquo;s Degree in Computer Science, Telecommunications, or equivalent experience.</li></ul></div>

Senior Sales Engineer

Job SummaryWe are looking for a Senior Data Engineer with strong experience in real-time data streaming using Apache Kafka. The ideal candidate will design and build scalable data pipelines, streaming architectures, and data platforms to support real-time analytics and data-driven applications. 
Key Responsibilities&middot; Design, develop, and maintain real-time data pipelines using Apache Kafka.&middot; Build scalable stream processing solutions using Kafka Streams, Spark Streaming, or Flink.&middot; Develop and optimize ETL/ELT pipelines for large-scale data processing.&middot; Integrate streaming pipelines with data lakes, data warehouses, and analytics platforms.&middot; Work with cross-functional teams including Data Scientists, Product Managers, and Analysts.&middot; Ensure data reliability, scalability, and performance optimization.&middot; Implement data governance, monitoring, and alerting for streaming systems.&middot; Troubleshoot production issues and optimize streaming architecture. 
Required Skills&middot; 8+ years of experience in Data Engineering.&middot; Strong hands-on experience with Apache Kafka / Kafka Streaming.&middot; Experience with Python, Java, or Scala.&middot; Strong knowledge of real-time streaming architectures.&middot; Experience with Spark, Flink, or Kafka Streams.&middot; Strong SQL and data modeling skills.&middot; Experience working with cloud platforms (AWS, GCP, or Azure).&middot; Familiarity with data lake technologies (S3, Delta Lake, Snowflake, etc.). 
Preferred Skills&middot; Experience with Databricks or Snowflake.&middot; Experience with containerization (Docker, Kubernetes).&middot; Knowledge of CI/CD pipelines and DevOps practices.&middot; Experience with monitoring tools like Prometheus, Grafana, or Splunk. 
Nice to Have&middot; Experience with event-driven architecture.&middot; Experience building high-throughput, low-latency data systems.

Senior Data Engineer

Join Qode and explore 17   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

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Sr. Data Engineer

Senior Sales Engineer

Senior Sales Engineer

Senior Sales Engineer

Senior Sales Engineer

Senior Sales Engineer

Senior Data Engineer