
About Sigmoid
Transforming data into actionable insights for enterprises
Key Highlights
- Headquartered in San Francisco, California
- Over 500 employees focused on data solutions
- Partners with Fortune 500 companies for data analytics
- Utilizes open-source and cloud technologies
Sigmoid, headquartered in San Francisco, California, specializes in data solutions that leverage real-time analytics and machine learning. The company partners with clients like Fortune 500 companies to build and manage large-scale data platforms using open-source and cloud technologies. With a work...
🎁 Benefits
Employees enjoy competitive equity options, generous PTO policies, flexible remote work arrangements, and a learning budget for professional developme...
🌟 Culture
Sigmoid fosters a culture that emphasizes data-driven decision-making and innovation, encouraging teams to experiment with new technologies and method...
Overview
Sigmoid is hiring a Software Development Engineer III to provide technical expertise in the Big Data space. You'll work with technologies like Java, Python, and Apache Spark while collaborating with Fortune 500 clients. This position requires 6+ years of experience.
Job Description
Who you are
You have over 6 years of experience in software engineering, particularly in the Big Data domain, where you've contributed to engineering, design, development, and deployment processes. Your technical expertise spans across various technologies, including Apache Spark, Kafka, and the Hadoop stack, allowing you to provide strong leadership in adopting and contributing to open-source technologies.
You are a hands-on coder with proficiency in programming languages such as Java, Python, C++, or Scala. Your understanding of programming principles and development practices, including check-in policies and unit testing, enables you to maintain high-quality code. You are a self-starter who can quickly grasp new concepts and technologies, translating them into large-scale engineering developments.
Your experience includes application development, integration development, and data management, which allows you to interface effectively with customers across leading Fortune 500 companies. You stay up-to-date with the latest technologies to ensure the greatest ROI for both customers and Sigmoid.
You have a solid understanding of enterprise-level code and are skilled in designing and implementing APIs, abstractions, and integration patterns to solve complex distributed computing problems. Your background in defining technical requirements, data extraction, and transformation, as well as automating and productionizing jobs, positions you well for this role.
Desirable
Exposure to functional programming is a plus, as is experience with third-party libraries and frameworks. You possess strong skills in algorithms, data structures, and object-oriented programming concepts, which are essential for tackling challenges in the Big Data landscape.
What you'll do
In this role, you will be responsible for leading engineering efforts in the Big Data space, providing technical expertise and guidance to your team. You will work closely with clients to understand their strategic requirements and align Sigmoid's initiatives with their needs. Your hands-on coding experience will be crucial as you design and implement scalable solutions that meet client expectations.
You will also play a key role in mentoring junior engineers, sharing your knowledge of best practices in software development and fostering a culture of continuous improvement within the team. Your ability to interface with clients will help you gather feedback and iterate on solutions, ensuring that the products developed are both effective and efficient.
What we offer
At Sigmoid, we provide a collaborative work environment where innovation is encouraged. You will have the opportunity to work with cutting-edge technologies and contribute to impactful projects that drive success for our clients. We value professional development and offer resources to help you grow your skills and advance your career.
Join us in shaping the future of Big Data solutions and make a difference in the industry. We encourage you to apply even if your experience doesn't match every requirement, as we believe diverse teams build better products.
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