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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** CYNET SYSTEMS INC. - **Location:** Hanover, NJ, United States - **Experience:** Expert - **Salary:** $124,800.0 - $135,200.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Amazon S3, Apache HTTP Server, Microsoft Azure, Big Data, Code Review, Continuous Integration, Information Engineering, Data Governance, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Mart, Data Warehousing, DevOps, Dimensional Modeling, Github, Apache Hadoop, Python (Programming Language), Meta-Data Management, NoSQL, Software Tools, Azure Data Lake, SQL Databases, Real Time Systems, Feature Engineering, Snowflake, Apache Spark, Git, Cloudformation, Data Lakes, Pyspark, Apache Kafka, Video Streaming, Terraform, Azure Synapse Analytics, Data Pipelines, Docker, Jenkins, Databricks - **Published:** September 11, 2026 - **Apply:** https://www.dice.com/job-detail/f237856c-9b7e-4f5f-9ea7-fc64cfac7b90 ## About the Role * Strong experience in designing and building large-scale data platforms. * Expertise in data warehousing and dimensional modeling. * Experience with ETL/ELT design and implementation. * Strong understanding of data governance, metadata management, and data quality frameworks. * Advanced proficiency in Python and SQL. * Experience with Spark/PySpark for large-scale data processing. * Strong knowledge of relational and NoSQL databases. * Experience with one or more cloud platforms such as AWS (S3, Glue, Lambda, Redshift, Athena, EMR, Step Functions) or Azure (ADF, Synapse Analytics, Databricks, ADLS Gen2). * Experience with Big Data and Streaming technologies including Apache Spark, Kafka, or Kinesis. * Proficiency with DevOps and Automation tools including Git, Jenkins, GitHub Actions, or Azure DevOps. * Experience with Infrastructure as Code using Terraform or CloudFormation., * Experience with Apache Iceberg, Delta Lake, or Hudi. * Hands-on experience with Snowflake or Databricks. * Experience implementing Lakehouse architectures. * Working knowledge of Data Mesh and modern data platform concepts. * Exposure to AI/ML data pipelines and feature engineering. * Experience in Banking, Financial Services, or Capital Markets domains. * Experience with Hadoop ecosystem. * Experience with Docker and Kubernetes. Skills: * Data Engineering. * Python. * SQL. * Spark. * PySpark. * ETL/ELT. * AWS. * Azure. * Kafka. * Terraform. * CI/CD. Qualification And Education: * 8+ years of experience in Data Engineering or related field. ## Description * Design, develop, and maintain scalable and reliable data pipelines for batch and real-time processing. * Build and manage enterprise data lakes, data warehouses, and data marts. * Develop ETL/ELT solutions using modern data engineering tools and frameworks. * Collaborate with business stakeholders, architects, analysts, and data scientists to understand data requirements. * Optimize data processing workflows for performance, scalability, and cost efficiency. * Implement data quality, lineage, governance, and monitoring frameworks. * Design and maintain data models supporting analytics and reporting use cases. * Lead technical design discussions and provide engineering best practices. * Troubleshoot complex data integration and performance issues. * Mentor junior engineers and conduct code reviews. * Support CI/CD automation and infrastructure-as-code initiatives. ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)