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# Senior Data Engineer

- **Company:** ConnectOne Bank
- **Location:** ENGLEWD CLFS, NJ, United States (Remote available)
- **Experience:** Expert
- **Salary:** $160,000 - $180,000
- **Contract:** Permanent contract
- **Skills:** Query Performance, Airflow, Amazon Web Services, Amazon S3, Command-Line Interface, Cloud Computing, Code Review, Databases, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Transformation, Data Security, Data Warehousing, Python (Programming Language), Cloud Services, Software Engineering, SQL Databases, Technical Data Management Systems, Reliability of Systems, Data Lakes, Software Version Control, Data Pipelines, Amazon Redshift
- **Published:** October 23, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=8bd8c80e85c198a7

## About the Role

* Strong "People First" interest and ability.
 * Comprehensive understanding of cloud computing principles and cloud-native data architectures, specifically within the Amazon Web Services (AWS) ecosystem.
 * Deep knowledge of modern data warehousing concepts, including schema design and data modeling methodologies.
 * Understanding of data governance, data privacy regulations, and enterprise security best practices.
 * Expert-level proficiency in SQL and Python.
 * Hands-on mastery of dbt Labs, Apache Airflow, Amazon Redshift, and AWS S3.
 * Strong proficiency with version control systems (Git/GitHub) and command-line interfaces.
 * 7+ years of progressive, dedicated experience in Data Engineering, Data Architecture, or a heavily overlapping software engineering field.
 * The ability to quickly dissect complex pipeline failures, identify root causes in underlying data, and implement permanent solutions.
 * The aptitude to listen to non-technical stakeholders, understand their analytical needs, and translate those needs into technical data structures.
 * The capacity to thrive in a remote work environment, managing time effectively, and driving large-scale projects from conception to deployment with minimal oversight.
 * A natural meticulousness required to ensure absolute data accuracy and system reliability.

Bonus Points For:

 * AWS Certified Data Engineer, AWS Certified Solutions Architect, or official dbt Certification preferred but not required.

## Description

The Senior Data Engineer is the primary architect and builder of our data infrastructure. The purpose of this position is to design, develop, and maintain highly scalable data pipelines, robust data models, and a secure data warehouse. Operating primarily within an AWS ecosystem, this role ensures the reliable acquisition, transformation, and storage of critical business data to empower advanced analytics across the organization., * Architect, build, and maintain data pipelines using Apache Airflow, ensuring seamless data movement across AWS S3 and Amazon Redshift.

 * Design and implement scalable data models using dbt Labs, transforming raw data into clean datasets optimized for analytical querying.
 * Facilitate the setup of new data sources, designing the architecture to securely and efficiently ingest data from third-party APIs, transactional databases, and external platforms into the data lake/warehouse.
 * Maintain a deep understanding of the underlying data model to troubleshoot bottlenecks, optimize Redshift query performance, and implement rigorous data quality testing and alerting.
 * Serve as a subject matter expert on data architecture, establishing best practices for code reviews, version control, and CI/CD workflows within the data engineering team.