Engineer 2 - Data & Analytics

About the position

We are looking for an Engineer II to join our growing team of data experts. This role is responsible for developing, maintaining and optimizing data pipelines, delivering data timely to our cross-functional teams and support reporting and analytics. The Engineer will work closely with analyst, report developers, architects, data scientists and other engineers on data initiatives and will be involved in designing our next generation of data platform architecture to support increasing data demands.

Responsibilities

• Partner with Product and IT stakeholders to understand business needs, gather data requirements, and translate them into structured data models-ensuring data consistency, integrity, and optimal performance.
• Design, develop, and maintain the systems and infrastructure (i.e., data pipelines) necessary for the collection, storage, processing, and analysis of large volumes of data.
• Collaborate with Data Analysts, Data Scientist, and Business Analytics users to provide access to clean and organized data for various business purposes.
• Partner with Enterprise and Solution Architects to implement continuous improvement processes to protect, govern, automate, and scale data platform.
• Participate in data governance initiatives and contribute to maintaining data dictionaries and documentation to facilitate effective data management and analysis.
• Responsible for break/fix support (triage and resolution) of data systems, applications, and processes in production and in lower environments.

Requirements

• 4+ years of experience in a Data Engineer role.
• Bachelor's degree in technology.
• Experience with Agile/Scrum development process and methodologies.
• Experience with data governance processes (lineage, profiling, classification, and regulatory compliance).
• Data engineering techniques for managing structured, semi-structured, and unstructured data.
• Working knowledge of distributed event streaming data platforms (Tibco, Kafka).
• Working knowledge of microservices and containerized applications (EKS, Docker).
• Experience with big data tools (Cloudera, Hadoop, Spark, Map Reduce, NiFi, Sqoop, YARN).
• Experience with AWS cloud services (S3, EC2, EMR, Redshift, Glue, CloudWatch, Lambda, Athena).
• Experience with CI/CD data pipeline orchestration tools (Jenkins, Airflow).
• Experience in data modeling and database schemas (normalized, flat, star, snowflake, etc.).
• Experience in developing data models, ingestion processes, and data extracts to support data consumption and visualization tools (MicroStrategy, Tableau).
• Proficient in query and languages (SQL, Hive, Python).

Nice-to-haves

• Retail experience is a plus.

Benefits

• Medical/dental/vision insurance starting on day one.
• Term life insurance.
• Paid vacation/holidays.
• 401(k) Savings Plan with company match.
• Associate discount on JCPenney merchandise.
• On-site amenities including daycare, Grab & Go Store, Coffee Shop, The Local Kitchen, fitness center, free garage parking, golf simulator, arcade, pickleball courts, vibrant co-working spaces, meeting rooms, and wellness rooms.
• Opportunities for growth and development through training and development programs.
• Collaborative and supportive culture.