• Data Engineer

    Amalgamated Bank (New York, NY)


    Purpose of Position:

    We are looking for an experienced and highly skilled Data Engineer to join our Data Governance Team. The ideal candidate will have a strong background in data engineering with specific experience in Databricks. You will be responsible for designing, building, and maintaining scalable data pipelines and architectures to enable advanced analytics and data-driven decision-making across the organization.

    Essential Job Functions:

    + Design and develop scalable data pipelines using Databricks, ensuring efficient data processing and integration from various sources.

    + Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions that meet their needs.

    + Implement best practices for data management, storage, and retrieval, focusing on optimizing performance and ensuring data integrity.

    + Work with large datasets and perform data cleansing, transformation, and aggregation to support analytics and reporting functions.

    + Monitor and troubleshoot data pipeline performance, ensuring high availability and reliability.

    + Stay updated with the latest advancements in data engineering and Databricks technologies to continuously improve our data infrastructure.

    + Document data processes and workflows, ensuring transparency and knowledge sharing across the team.

    + Ensure data security and compliance with regulatory requirements and industry best practices.

    + Perform other duties as directed.

    Knowledge, Skills and Experience Requirements:

    + Bachelor’s degree in Computer Science, Information Technology, Engineering, or equivalent experience

    + 3+ years of experience as a Data Engineer, preferred proven expertise in using Databricks.

    + Strong proficiency in data processing tools and languages such as SQL, Python, and Spark.

    + Experience with cloud platforms, particularly Azure, and integration with Databricks.

    + Understanding of data architecture principles and experience with ETL tools and methodologies.

    + Excellent problem-solving skills, with the ability to manage multiple priorities in a fast-paced environment.

    + Strong communication skills, with the ability to collaborate effectively with cross-functional teams.

    Working Conditions:

    This is a full-time position operating on a hybrid schedule with three days per week in the 275 7th Ave, NY office.