Data Engineer (AWS, Central Location)

Our client is seeking a Senior Data Engineer who will be responsible for the design, construction, and operation of enterprise-level data platforms that support analytics, data science, and digital products. This position will play a crucial role in shaping data architecture, establishing engineering standards, and making technical decisions within a complex enterprise setting.

Key Responsibilities

• Design, construct, and sustain scalable data architectures and pipelines for the ingestion, transformation, and delivery of data.
• Create robust data models and reusable data capabilities that serve analysts, data scientists, and applications.
• Enhance the reliability, security, performance, observability, and maintainability of data platforms.
• Assess technologies and architectural strategies, making informed technical trade-offs and contributing to engineering standards.
• Promote modern engineering methodologies, including automated testing, code reviews, CI/CD, and Infrastructure-as-Code.
• Work collaboratively with engineers, Product Managers, Data Scientists, and analysts while providing technical guidance, mentorship, and knowledge sharing.

Qualifications

• 7+ years of experience in software/data engineering with a strong command of Python and SQL.
• Familiarity with AWS and contemporary data platforms such as Redshift, Snowflake, Databricks, or BigQuery.
• Extensive experience in enterprise data architecture and engineering, including production data systems.
• Practical experience in designing data pipelines, data models, data warehouses, data lakes, or lakehouse architectures.
• Experience in data orchestration, transformation, and modeling.
• Strong grasp of production engineering practices, including testing, CI/CD, monitoring, troubleshooting, and ensuring data quality.

Preferred Qualifications

• Experience with Apache Airflow, dbt, and/or Apache Spark.
• In-depth knowledge of AWS data services and cloud infrastructure.
• Experience with BI tools such as Tableau, Power BI, or similar platforms.
• Familiarity with Infrastructure-as-Code, data observability, metadata management, data catalogs, or data lineage.
• Experience handling sensitive or regulated data.