Senior Data Engineer

Job Summary

As a Senior Data Engineer, you’ll design, build, and maintain reliable data systems that turn complex information into useful insights. You’ll lead data engineering work across cloud and on-premises environments, partnering with analytics and business teams to support trusted reporting and data-driven decisions. Your impact: By delivering dependable, well-managed data pipelines, you help teams access timely information and make better-informed decisions.

Responsibilities

• Design and develop data warehouses, data models, and dimensional models for analytics and business intelligence tools such as Looker.
• Build and maintain extract, transform, and load (ETL) pipelines and data management integrations using tools such as Informatica and Talend.
• Develop and optimize big data systems with Hadoop, Apache Hive, and Spark across public cloud platforms, including AWS and Azure Data Lake.
• Manage SQL databases and cloud databases, including Microsoft SQL Server and Oracle; improve query management, database design, and data warehousing design.
• Collaborate in Agile software development, integrate RESTful APIs and linked data, and support analytics and model training needs.

Qualifications

• Strong data engineering experience, with practical skills in SQL, Python, Java, and Bash (Unix shell) or other shell scripting.
• Experience with big data, ETL pipeline development, data modeling, data warehouse technologies, and data management integration.
• Familiarity with AWS, Azure Data Lake, public cloud, Hadoop, Apache Hive, Spark, Microsoft SQL Server, Oracle, and SQL databases.
• Knowledge of business intelligence tools, Looker, Informatica, Talend, RESTful APIs, linked data, and query management is valuable.
• Bring sound analysis skills and the ability to design maintainable data systems; experience with Agile, software development, and model training is a plus.

Pay: $120,000.00 - $146,000.00 per year

Work Location: Remote