Easter Seals Jobs

Description We are seeking a Data Engineer in New York, New York, 10006, United States. This role offers a contract to permanent employment opportunity, where you will be involved in data processing, modeling, governance, and visualization. You will work collaboratively with internal teams across various departments and be accountable for timely project delivery.

Responsibilities:

• Handle raw data by performing data cleansing and processing to produce large, structured datasets for analysis and data modeling.

• Understand the connectivity across multiple platforms like cloud-based storage environments, on-prem databases, etc., to extract and compile necessary data assets for advanced modeling projects.

• Create custom data integrations to support reporting, data visualization, and presentation building.

• Collaborate with internal teams, including BI, Buying, Planning, and Digital Investment to produce integrated client deliverables.

• Support R& D initiatives by setting up the appropriate infrastructure for algorithmic modeling, automating repetitive components of code, and establishing processes around self-service analytic capabilities.

• Utilize critical thinking skills to identify issues, solve problems, and improve processes.

• Maintain data documentation and definitions, and provide support to train business users on how best to use data.

• Take accountability for timely project delivery, producing analyses and content that is clean, organized, and easy to understand.

• Perform storytelling from data and analyses, and persuasively communicate insights to internal stakeholders and clients.

• Ensure satisfaction of internal stakeholders and clients. Requirements • Applicants must have a minimum of 3 years of experience in a data engineering role or a similar position.

• Proficient in SQL for managing and manipulating databases.

• Demonstrable skills in Microsoft Excel for data analysis and visualization.

• Must possess strong programming skills, particularly in Python and R Programming.

• Familiarity with C++ and SAS for statistical analysis and data processing.

• Experience with data visualization tools such as Tableau, Domo, and Power BI is required.

• Knowledge of Snowflake, Google Cloud Platform, and Amazon Web Services (AWS) for cloud data solutions is essential.

• Proficiency with Alteryx for data blending and advanced data analytics is a must.

• Experience in data processing, data modeling, data cleansing, and data governance is necessary.

• Ability to process and analyze raw data and structured data.

• Strong skills in data visualization to present data in a comprehensible manner. Technology Doesn't Change the World, People Do.®

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