About the Role
We are looking for a Remote Staff Data Software Engineer to join our innovative team at Lookout, Inc. As a leader in cloud security, we provide a unified, cloud-native security platform that safeguards data across devices, applications, networks, and clouds. In this role, you will contribute to the development of our data engines, ETL pipelines, and analysis services, playing a crucial part in enhancing our data capabilities.
What You'll Do
- Design and implement scalable data pipelines and ETL processes to support data integration and analysis.
- Collaborate with cross-functional teams to define data requirements and deliver insights that drive business decisions.
- Develop and maintain core intellectual property related to data aggregation and analysis services.
- Optimize existing data processes for performance and reliability.
- Mentor junior engineers and contribute to team knowledge sharing.
Requirements
- 5+ years of experience in data engineering or software development, with a focus on data systems.
- Strong proficiency in programming languages such as Python, Java, or Scala.
- Experience with ETL tools and data warehousing solutions.
- Familiarity with cloud platforms like AWS, Azure, or Google Cloud.
- Excellent problem-solving skills and the ability to work independently in a remote environment.
Nice to Have
- Experience with big data technologies such as Hadoop or Spark.
- Knowledge of data visualization tools like Tableau or Power BI.
- Familiarity with security best practices in data handling.
What We Offer
- Competitive salary ranging from $120,000 to $150,000 per year.
- Flexible remote work environment with a strong emphasis on work-life balance.
- Opportunities for professional development and career growth.
- Health and wellness benefits, including medical, dental, and vision coverage.
- A collaborative and innovative team culture that values diversity and inclusion.
This role offers a unique opportunity to work with a leading cloud security company, contributing to innovative data solutions in a fully remote environment.
Who Will Succeed Here
Proficient in Python and Java for developing robust ETL pipelines, with hands-on experience in using AWS and Azure services for cloud deployment and data processing.
Strong analytical mindset with a passion for cloud security, capable of designing and optimizing data engines and workflows in a fully remote environment.
Extensive experience in big data frameworks like Hadoop and Spark, demonstrating the ability to handle large datasets and implement efficient data processing solutions.
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