Job Summary We are seeking a highly skilled and motivated Senior Data Engineer to join our dynamic data team. In this role, you will lead the design, development, and maintenance of robust data pipelines and architectures that support our organization's analytics and business intelligence initiatives. Your expertise will enable us to harness big data systems, cloud technologies, and advanced data modeling techniques to deliver actionable insights. This position offers an exciting opportunity to work with cutting-edge tools and collaborate across teams to drive data-driven decision-making at scale. Responsibilities Design, develop, and optimize scalable ETL (Extract, Transform, Load) pipelines using tools such as Informatica, Talend, and custom scripting in Python or Bash. Build and maintain data warehouses utilizing dimensional modeling principles for efficient query management and reporting. Develop and implement data models for structured and unstructured data, including linked data concepts for enhanced data integration. Manage large-scale big data systems leveraging Hadoop, Spark, Apache Hive, and Azure Data Lake to process vast datasets efficiently. Collaborate with business stakeholders to understand their analytical needs and translate them into technical solutions using SQL databases like Microsoft SQL Server, Oracle, or cloud-based databases. Integrate diverse data sources through RESTful APIs and ensure seamless data flow across cloud platforms such as AWS and Azure Public Cloud environments. Support business intelligence tools like Looker by creating dashboards, reports, and visualizations that facilitate strategic insights. Participate in agile development cycles to continuously improve data infrastructure, ensuring high performance, security, and compliance standards are met. Contribute to the design of data management strategies that align with enterprise goals while supporting analysis skills development for team members. Skills Extensive experience with cloud platforms such as AWS, Azure Data Lake, and Public Cloud environments for scalable data solutions. Proficiency in programming languages including Java, Python, VBA, Bash (Unix shell), and Shell Scripting for automation and pipeline development. Strong knowledge of big data systems like Hadoop ecosystem components (HDFS, Hive), Spark processing engine, and related technologies. Expertise in SQL database design including Microsoft SQL Server, Oracle databases, Data warehousing design, Dimensional modeling techniques, and query management. Hands-on experience with ETL tools such as Informatica or Talend for seamless data integration workflows. Familiarity with business intelligence tools like Looker for creating insightful dashboards and reports. Solid understanding of data modeling principles including linked data concepts for complex integrations across multiple sources. Knowledge of RESTful API development for integrating external systems with internal platforms. Strong analysis skills to interpret complex datasets and support model training initiatives in a collaborative environment. Experience working within Agile methodologies to deliver iterative improvements in data infrastructure. Join us to leverage your expertise in a fast-paced environment where innovation meets impact! We are committed to fostering a vibrant workplace that values continuous learning and professional growth through cutting-edge projects in data engineering.

Pay:

$45.88 - $55.25 per hour

Work Location:

In person