Data Engineer Associate - Early Career

Delivers full-stack data solutions across the entire data processing pipeline. This relies on systems engineering principles to design and implement solutions that span the data lifecycle to: collect, ingest, process, store, persist, access, and deliver data at scale and  includes knowledge of local, distributed, and cloud-based technologies; data virtualization and smart caching; and all security and authentication mechanisms required to protect the data.

Build data pipelines that clean, transform, and aggregate unorganized data into databases or data sources that are ready for analysis;
Design and implement data solutions by defining functional capabilities, security, back-up, and recovery specifications;
Work through all stages of a data solution lifecycle, e.g., analyze / profile data, create conceptual, logical and physical data model designs, architect and design ETL, reporting and analytics;
Maintain data systems performance by identifying and resolving production and application development problems; calculating optimum values for parameters; evaluating, integrating, and installing new releases;
Define standards, best practices, and certification processes for data objects

Delivers full-stack data solutions across the entire data processing pipeline. This relies on systems engineering principles to design and implement solutions that span the data lifecycle to: collect, ingest, process, store, persist, access, and deliver data at scale and  includes knowledge of local, distributed, and cloud-based technologies; data virtualization and smart caching; and all security and authentication mechanisms required to protect the data.

Build data pipelines that clean, transform, and aggregate unorganized data into databases or data sources that are ready for analysis;
Design and implement data solutions by defining functional capabilities, security, back-up, and recovery specifications;
Work through all stages of a data solution lifecycle, e.g., analyze / profile data, create conceptual, logical and physical data model designs, architect and design ETL, reporting and analytics;
Maintain data systems performance by identifying and resolving production and application development problems; calculating optimum values for parameters; evaluating, integrating, and installing new releases;
Define standards, best practices, and certification processes for data objects

• Bachelor's degree in Computer Science or STEM Field
• AI interest and knowledge
• Understanding of SQL
• Some experience with a database manager (PG Admin for DBeaver, SQL Server Manager)
• Data flow support – Python
• Basic system design skills – knowing inputs and flows
• Strong analytical and problem-solving skills, with the ability to think critically and creatively.
• Experience in supporting change management initiatives or process improvement projects.
• Ability to work collaboratively with cross-functional teams and influence stakeholders.
• Ability to quickly absorb new information and concepts, with an enthusiasm for ongoing learning and professional development.
• Ability to prioritize and manage multiple tasks and projects, with a strong attention to detail and a focus on delivering high-quality results

• Experience in AWS cloud (using Lamda, knowing how to work in Glue)
• Experience with ETL workflows (Apache Airflow, Pysparx)

Full-Time Salary Range: $65500.00 - $121700.00

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The salary range for this position is as listed on the requisition.…