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 an Engineering Manager to lead a team in building a scalable big data platform. You'll work with technologies like Java, Python, and Hadoop. This position requires experience in managing engineering teams and developing big data solutions.
Job Description
Who you are
You have a strong background in engineering management, with a focus on building scalable big data architectures. Your experience includes leading teams and guiding developers in their day-to-day tasks, ensuring that projects align with client initiatives and business requirements. You are detail-oriented and a self-starter, capable of interfacing with clients at various levels, including CIOs and VPs, to understand their strategic needs.
You possess a solid understanding of programming principles and have hands-on experience in programming languages such as Java and Python. Your technical expertise extends to big data technologies, where you have architected, developed, and maintained solutions that handle massive datasets. You thrive in an agile environment and are familiar with the Hadoop ecosystem, including tools like HDFS, MapReduce, Oozie, Hive, Impala, and Spark.
What you'll do
As an Engineering Manager at Sigmoid, you will lead a team dedicated to building a highly-scalable and extensible big data platform. Your role will involve designing, developing, and evolving distributed components that are fault-tolerant and capable of handling large-scale data processing. You will work closely with domain experts to create delivery plans and ensure that projects stay on track.
You will be responsible for managing the team on a day-to-day basis, providing guidance on design and coding tasks, and stepping in to code when necessary. Your leadership will be crucial in hiring new talent and shaping the future of the engineering team. You will also interface with clients regularly, ensuring that their requirements are met and that the solutions provided align with their business goals.
What we offer
At Sigmoid, you will have the opportunity to work with a diverse range of clients, from startups to Fortune 500 companies, and make a significant impact on their data strategies. We offer a collaborative work environment where your contributions will be valued, and you will have the chance to grow your career in the big data domain. Join us to be part of a team that is dedicated to building world-class solutions and driving innovation in the industry.
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