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# Data Engineer

- **Company:** American CyberSystems
- **Location:** New York, NY, United States (Remote available)
- **Experience:** Expert
- **Salary:** $145,600.0 - $156,000.0
- **Contract:** Contract
- **Skills:** Java (Programming Language), Airflow, Microsoft Azure, Information Systems, Continuous Delivery, Continuous Integration, Information Engineering, Data Governance, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Github, Python (Programming Language), PostgreSQL, Meta-Data Management, Online Analytical Processing, Online Transaction Processing, Performance Tuning, SQL Stored Procedures, SQL Databases, Azure Data Factory, Snowflake, Information Technology, Data Lineage, Software Version Control, Data Pipelines, Mulesoft, Programming Languages
- **Published:** August 5, 2026
- **Apply:** https://www.jofdav.com/jobs/59099000-data-engineer

## About the Role

* Bachelor's degree (BA/BS) in Data Engineering, Computer Science, Information Systems, or a related field. Master's degree a plus.
 * 5+ years of experience in roles related to data engineering or related roles.
 * Strong proficiency in SQL with Azure, PostgreSQL and Snowflake
 * Strong proficiency in Python, Java, and other programming languages.
 * Hands-on experience with Azure Data Factory, Apache Airflow, Mulesoft, and Apache Airflow for orchestration and scheduling
 * Strong knowledge of data integration and ETL/ELT processes, and transformation tools, such as DBT or Coalesce.
 * Experience implementing CI/CD pipelines for data infrastructure and deployments (e.g., using Azure DevOps or GitHub Actions).
 * Demonstrated knowledge of data modeling, metadata management, and data lineage tools.
 * Familiarity with data governance, quality frameworks, and compliance standards.
 * Experience in financial services or legal industries is preferred but not required.

## Description

* Create and manage data ingestion pipelines, setting up and maintaining data feeds and supporting both batch and near real-time integrations across internal and external systems to integrate them into the firm's environment securely and efficiently, in collaboration with the firm's software engineers and internal applications.
 * Apply strong SQL engineering skills to optimize performance across Snowflake, Azure, and PostgreSQL, leveraging stored procedures, views, ingest and transformation tools and performance tuning techniques.
 * Implement transformation logic and data workflows, adhering to version control and continuous integration/continuous delivery (CI/CD) pipelines.
 * Establish observability and monitoring frameworks to ensure data reliability, pipeline health, and SLA compliance.
 * Collaborate with data architects to align solutions with enterprise data models, ensuring scalability, maintainability, and cost efficiency for both OLTP and OLAP paradigms.
 * Contribute to tool evaluation and deployment, architecture reviews, and process automation to continually enhance data platform performance and maturity.


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