> Markdown version of [/jobs/ext/3851488-data-engineer](https://www.wearedevelopers.com/jobs/ext/3851488-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Data Engineer

- **Company:** Community Financial System, Inc.
- **Location:** Syracuse, NY, United States
- **Experience:** Experienced
- **Salary:** $66,000.0 - $108,804.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Microsoft Azure, Big Data, Cloud Computing, Cloud Database, Information Systems, Data Architecture, Data Validation, Information Engineering, Data Files, Data Governance, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Systems, Data Warehousing, Relational Databases, Programming Tools, Distributed Systems, Python (Programming Language), Machine Learning, Power BI, Software Tools, SQL Databases, Data Processing, Data Storage Management, Snowflake, Caching, Indexer, Git, Data Lakes, Information Technology, Data Analytics, Dataiku, Data Pipelines
- **Published:** October 21, 2026
- **Apply:** https://jobs.localjobnetwork.com/apply/add/88657073/1

## About the Role

* Bachelor's Degree in Computer Science, Information Systems, or other related field., * 3+ years as data engineer
 * Experience with Snowflake and DBT;
 * ELT tools, preferably Astronomer and Apache Airflow.
 * Experience with BI tools, preferably Power BI
 * Strong working knowledge of Python, SQL, and Git.
 * Familiarity with data modeling and data warehousing concepts, preferably with experience using modeling tools like DBT or DataIKU.
 * Working knowledge with cloud data warehousing, preferably in Snowflake, Azure or similar cloud infrastructure
 * Excellent verbal and written communication skills in technical and user-friendly manner, adaptability to changing priorities. Must have the ability to collaborate and work in a team environment.
 * Any prior experience/knowledge of AI/ML practices will be given high preference, primarily responsible for leveraging advanced analytics techniques, particularly in artificial intelligence (AI) and machine learning (ML).

Experience:

 * Minimum 3 years of proven experience in a data engineering role.
 * Banking experience preferred., The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee may be required to stand, walk or sit. Use hands and fingers, handle or feel, reach with hands or arms, and speak and hear. The employee may occasionally be required to lift and or move up to 25 pounds. Specific vision abilities required by this job include close vision, and the ability to focus.

## Description

This position is responsible for designing, building, and maintaining data pipelines and architectures.

Ability to work independently on strategic, high-level data modeling projects along with the senior Data Architect on the team. Responsibilities include, but are not limited to, integrating data from different sources and ensuring data quality, developing and implementing database solutions for data storage and retrieval, collaborating with data analysts to support data-driven initiatives as well as monitoring data infrastructure performance and optimizing data processing.

Essential Duties:

 * Designing and implementing data pipelines to efficiently extract, transform, and load (ETL) from various data sources into a central repository or data lake (Snowflake)
 * Building and maintaining scalable and robust data infrastructure, including relational databases, data lakes, and distributed computing systems that are equipped to handle large volumes of data
 * Collaborating with data analysts to understand metrics and data requirements and to provide them with access to the necessary data sets and data systems
 * Implementing data validation and cleaning processes to ensure data quality and monitoring data pipelines for errors or anomalies
 * Optimizing data storage and retrieval processes to enhance performance and reduce latency, particularly through techniques such as indexing, partitioning, and caching
 * Implementing data security and privacy measures, including data encryption, access controls, and compliance with data governance policies and regulations
 * Assist with other key initiatives and other related DA projects
 * Ability to understand and maintain a view of the big picture while creating detailed, operation level processes, workflows, and requirements.
 * Deep understanding and functional knowledge of various development tools and SQL flavors. Ability to design, develop and implement various data model as required by projects across the organization.
 * Maintain proficient knowledge of, and demonstrate ongoing compliance with all laws and regulations applicable to this position, ensure ongoing adherence to policies, procedures, and internal controls, and meet all training requirements in a timely manner

Ancillary Duties:

As an integral member of the Data & Analytics Department, this position is responsible to provide assistance wherever necessary to help the department and the bank in achieving their goals