Lookout Inc11.03.26
AI SCORE 8.5

Remote Staff Data Software Engineer at Lookout Inc

$120K–$150K/year

About the Role

We are looking for a Remote Staff Data Software Engineer to join our innovative team at Lookout Inc. In this role, you will play a crucial part in developing our data engines, ETL pipelines, and analysis services. As a part of our Data Engineering team, you will help safeguard data across devices, apps, networks, and clouds through our unified, cloud-native security platform.

What You'll Do

  • Design and implement scalable data pipelines and ETL processes to support data ingestion and transformation.
  • Collaborate with cross-functional teams to understand data requirements and deliver robust solutions.
  • Analyze and aggregate data to provide insights that drive business decisions.
  • Contribute to the development of core intellectual property related to data services.
  • Ensure the reliability and performance of data systems through monitoring and optimization.

Requirements

  • 5+ years of experience as a Data Software Engineer or in a similar role.
  • Strong proficiency in programming languages such as Python, Java, or Scala.
  • Experience with data processing frameworks like Apache Spark or Hadoop.
  • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
  • Solid understanding of database technologies, both SQL and NoSQL.

Nice to Have

  • Experience with machine learning and data science concepts.
  • Knowledge of data governance and security best practices.
  • Familiarity with containerization technologies like Docker and Kubernetes.

What We Offer

  • Competitive salary ranging from $120,000 to $150,000 per year.
  • Flexible remote work environment.
  • Comprehensive health benefits and wellness programs.
  • Opportunities for professional development and growth.
  • Collaborative and inclusive company culture.
Why This Job8.5 of 10

This Remote Staff Data Software Engineer position at Lookout Inc offers a unique opportunity to work on cutting-edge data solutions in a flexible remote environment with a competitive salary.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

Proficient in designing scalable ETL pipelines using Apache Spark and Hadoop, with a strong grasp of Python and Java for data manipulation and transformation.

Strong experience in cloud computing environments, particularly AWS and Google Cloud, demonstrating the ability to architect and deploy data solutions in a fully remote setting.

A strategic mindset with a focus on performance optimization in SQL and NoSQL databases, ensuring efficient data retrieval and processing for real-time analytics.

Learning Resources

Learn Python for Data Engineeringarticle

Career Path

Remote Staff Data Software Engineer(Now)Lead Data Engineer(1-2 years)Data Engineering Manager(3-5 years)

Market Overview

Market Size 2024
$22B
Annual Growth
12.5%
AI Adoption in Python Development
45%
Investment in Data Engineering
+35%
Labour Demand for Data Engineers
+30%
Avg Salary for Senior Data Engineers
$130K

Skills & Requirements

Required
PythonJavaScala
Growing in Demand
Machine LearningData Visualization (e.g., Tableau, Power BI)Cloud Data Warehousing (e.g., Snowflake, Redshift)
Declining
MapReduceHadoop 1.x

Domain Trends

Rise of Serverless Architectures
The adoption of serverless computing is increasing, with 60% of companies planning to implement serverless solutions by 2025, driven by cost efficiency and scalability.
Increased Focus on Data Privacy
With regulations like GDPR and CCPA, 70% of organizations are prioritizing data governance and privacy in their data engineering practices.
Integration of AI in Data Processing
AI and ML tools are being integrated into data processing workflows, with 50% of data engineers reporting increased use of AI tools to automate data cleaning and transformation.

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