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# Data Engineer

- **Company:** Highbrow LLC
- **Location:** United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Airflow, Apache HTTP Server, Microsoft Azure, Continuous Delivery, Continuous Integration, Customer Data Management, Data Governance, Data Security, Dimensional Modeling, Apache Hive, Identity and Access Management, Python (Programming Language), Operational Databases, Performance Tuning, Power BI, SQL Databases, Data Streaming, Snowflake, Change Data Capture, Data Lakes, Debezium, Kubernetes, Information Technology, Apache Flink, Apache Kafka, Spark Streaming, Data Management, Presto, Looker Analytics, Data Pipelines
- **Published:** October 8, 2026
- **Apply:** https://www.thejobnetwork.com/job/732bc944-9a35-4011-9b88-24864d48cde2/senior-data-engineer

## About the Role

10+ years of hands-on experience in data engineering, data warehousing, or data platform development.

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Strong production experience building and supporting end-to-end data pipelines.

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Expert SQL, including complex queries, query-plan analysis, and performance tuning.

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Strong development skills in Python, Java, or Scala.

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Hands-on experience with Apache Iceberg, Delta Lake, or Apache Hudi.

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Experience with distributed query technologies such as Trino, Presto, or Spark SQL.

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Hands-on Snowflake experience, including data modeling, performance optimization, external/Iceberg tables, secure data sharing, or access management.

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Experience with streaming and Change Data Capture technologies such as Apache Flink, Kafka, Spark Structured Streaming, or Debezium.

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Strong understanding of dimensional modeling, data quality, schema evolution, and data contracts.

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Experience with Kubernetes, containers, Continuous Integration and Continuous Deployment, and infrastructure-as-code.

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Experience implementing monitoring, alerting, lineage, reconciliation, and operational support for production data platforms.

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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.

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Experience integrating open lakehouse platforms with Snowflake.

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Azure cloud experience.

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Experience with Airflow, Dagster, dbt, Power BI, Looker, or Superset.

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Experience with data governance, cataloging, masking, and access-control frameworks.

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Exposure to Internet of Things/device telemetry, physical security, commercial real estate, or property technology.

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Experience using Artificial Intelligence-assisted engineering tools to accelerate data development., 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.