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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer - Remote / Telecommute - **Company:** CYNET SYSTEMS INC. - **Location:** Holmdel, NJ, United States (Remote available) - **Experience:** Expert - **Salary:** $114,400.0 - $124,800.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Airflow, Data Analysis, Apache HTTP Server, Automation of Tests, Microsoft Azure, Cloud Computing, Continuous Delivery, Continuous Integration, Customer Data Management, Information Engineering, Data Governance, Data Infrastructure, Data Security, Data Warehousing, Database Development, Database Queries, DevOps, Dimensional Modeling, Apache Hive, Identity and Access Management, Python (Programming Language), Microsoft SQL Server, Operational Databases, Performance Tuning, Reliability Engineering, Power BI, Software Tools, SQL Databases, Data Streaming, Snowflake, Change Data Capture, Data Layers, Data Lakes, Debezium, Kubernetes, Information Technology, Apache Flink, Apache Kafka, Spark Streaming, Data Management, Presto, Looker Analytics, Data Pipelines - **Published:** August 22, 2026 - **Apply:** https://www.careerjet.com/jobad/us793fffc743db670b8e45695326c0b2fa ## About the Role Requirement/Must Have: * 6+ years of hands-on experience in data engineering, data warehousing, or data platform development. * Strong production experience building and supporting end-to-end data pipelines. * Expert SQL, including complex queries, query-plan analysis, and performance tuning. * Strong development skills in Python, Java, or Scala. * Hands-on experience with Apache Iceberg, Delta Lake, or Apache Hudi. * Experience with distributed query technologies such as Trino, Presto, or Spark SQL. * Hands-on Snowflake experience, including data modeling, performance optimization, external/Iceberg tables, secure data sharing, or access management. * Experience with streaming and Change Data Capture technologies such as Apache Flink, Kafka, Spark Structured Streaming, or Debezium. * Strong understanding of dimensional modeling, data quality, schema evolution, and data contracts. * Experience with Kubernetes, containers, Continuous Integration and Continuous Deployment, and infrastructure-as-code. * Experience implementing monitoring, alerting, lineage, reconciliation, and operational support for production data platforms. * Ability to independently troubleshoot complex production issues and drive them through resolution., * Experience with multi-tenant Software as a Service data platforms and customer data isolation. * Experience integrating open lakehouse platforms with Snowflake. * Azure cloud experience. * Experience with Airflow, Dagster, dbt, Power BI, Looker, or Superset. * Experience with data governance, cataloging, masking, and access-control frameworks. * Exposure to Internet of Things/device telemetry, physical security, commercial real estate, or property technology. * Experience using Artificial Intelligence-assisted engineering tools to accelerate data development. Skills: * Apache Iceberg. * Delta Lake. * Apache Hudi. * SQL. * Python. * Java. * Scala. * Apache Flink. * Kafka. * Trino. * Snowflake. * Kubernetes. * CI/CD. Qualification And Education: * Bachelor's or Master's Degree in Computer Science, Computer or Electrical Engineering, Mathematics, or a related field. ## Description * Build and operate production-grade batch and streaming data pipelines across SQL Server, cloud applications, device/event streams, Customer Relationship Management systems, and third-party sources. * Develop ingestion, transformation, and enrichment pipelines using Apache Flink, Kafka, Change Data Capture, SQL, and Python/Java/Scala. * Implement lakehouse data layers across landing, raw, conformed, and consumption zones using Apache Iceberg and Trino. * Build dimensional and analytical models for entities such as buildings, tenants, credentials, devices, and people. * Implement robust handling for Change Data Capture, late-arriving data, retries, backfills, replay, schema evolution, and data reconciliation. * Build and maintain integration between the lakehouse and Snowflake, including Iceberg-backed/external tables, secure sharing, and downstream data contracts. * Develop automated data-quality checks, pipeline monitoring, lineage, freshness alerts, and operational dashboards. * Troubleshoot and resolve production data issues, pipeline failures, performance bottlenecks, and data-quality problems. * Optimize SQL queries, storage layouts, partitioning, clustering, compute utilization, and overall platform cost. * Implement security controls including role-based access, row/column-level security, masking, and protection of sensitive data. * Build and maintain Continuous Integration and Continuous Deployment pipelines, automated testing, infrastructure-as-code, and environment promotion processes. * Participate in production support, incident resolution, Root Cause Analysis, deployment, and on-call activities. * Work closely with Product, Application Engineering, Quality Assurance, DevOps/Site Reliability Engineering, Analytics, and globally distributed engineering teams. * Contribute to technical design decisions and documentation while remaining primarily hands-on in implementation and production delivery. ## Related Videos - [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) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) ## Related Articles - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [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) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated)