Data Engineer 1

• Own the complete software development lifecycle—from design to deployment—of scalable batch and streaming data pipelines to ingest and transform large datasets from various sources. 

• Optimize streaming and batch data processing to ensure performance, scalability, and cost efficiency. 

• Monitor system performance, troubleshoot issues, and implement solutions to ensure high availability and reliability. 

• Maintain and enhance FreeWheel's internal monitoring platform, ensuring comprehensive observability and operational excellence for the entire Streaming Hub and Audience Platform. 

• Collaborate with product managers and stakeholders to understand data requirements and deliver solutions that drive business impact. 

• Effectively communicate technical concepts to non-technical stakeholders. 

• Stay ahead of emerging data engineering technologies and best practices, identifying opportunities to improve processes, tools, and infrastructure. 

• Document data pipelines, processes, and systems to ensure clarity and maintainability. 

• Must be available to work Eastern Standard Time (EST) hours and be open to variable schedules, including nights, weekends, and overtime as needed. 

• Consistent exercise of independent judgment and discretion in matters of significance.   

• Regular, consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) as necessary.   

• Other duties and responsibilities as assigned.  

Qualifications: 

• Bachelor’s or master’s degree in computer science, Engineering, or a related field. 

• Familiarity with programming languages, including Scala, Java, Python, and SQL. 

• Exposure to big data processing frameworks, such as Apache Flink, Apache Spark (Batch & Streaming), and Databricks Delta Live Tables (DLT). 

• Understanding of data storage technologies, including AWS S3, Delta Lake, Apache Iceberg, Hadoop HDFS, and Apache Druid. 

• Familiarity with Data Lakehouse architectures, data modeling techniques, ETL processes, and relational databases (e.g., MySQL). 

• Basic Knowledge of Data Modeling techniques and Relational databases such as MySQL 

• Exposure to AWS services such as EMR and Lambda and workflow orchestration tools such as Airflow 

• Awareness of NoSQL databases and their pros and cons  

• Strong problem-solving skills with a keen attention to detail. 

• Excellent communication and collaboration skills to work effectively with technical and non-technical teams. 

• Generalist mindset with the ability to work across different technology stacks and polyglot programming skills, demonstrating fluency in multiple programming languages beyond primary expertise. 

Employees at all levels are expected to:

• Understand our Operating Principles; make them the guidelines for how you do your job.
• Own the customer experience - think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services.
• Know your stuff - be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences.
• Win as a team - make big things happen by working together and being open to new ideas.
• Be an active part of the Net Promoter System - a way of working that brings more employee and customer feedback into the company - by joining huddles, making call backs and helping us elevate opportunities to do better for our customers.
• Drive results and growth.
• Respect and promote inclusion & diversity.
• Do what's right for each other, our customers, investors and our communities.

Disclaimer:This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.