Software Engineer for Large-Scale Systems
12 hours ago
About Our Team
RIT Solutions, Inc. is a leading provider of software solutions that cater to the needs of our clients across various industries. We are committed to delivering high-quality software solutions that meet our clients' expectations. To achieve this goal, we have assembled a talented team of software engineers, data scientists, and project managers who share our commitment to excellence.
We are currently seeking a highly skilled Platform Data Engineer to join our team in New York City. As a Platform Data Engineer, you will play a key role in designing and developing large-scale data systems that meet the needs of our clients. Your expertise in data engineering, software development, and data analysis will enable you to effectively build and maintain complex data systems.
This is a 1-year+ contract position that offers a competitive salary of $**170,000 - $200,000 per year**, depending on experience. In addition to your technical expertise, we value your ability to work collaboratively with cross-functional teams to achieve project goals.
Your Key Responsibilities Will Include:
- Designing and developing large-scale data systems that meet the needs of our clients.
- Building and maintaining complex data systems, including databases, data pipelines, and data warehouses.
- Collaborating with cross-functional teams to ensure that data systems meet project goals and deliverables.
- Maintaining and improving existing data systems to ensure they continue to meet the needs of our clients.
- Providing expert advice and guidance to stakeholders on data-related matters.
Requirements for Success:
- Bachelor's or Master's degree in Computer Science or Information System, or equivalent experience with programming knowledge.
- 5+ years of proven experience as a Data Engineer, Software Developer, or similar role involving data pipeline development, software development, and data analysis.
- 5+ years of Data Engineering using Python.
- Strong SQL skills for data querying and manipulation in relational databases.
- Experience with machine learning concepts and Python libraries for machine learning such as NumPy, Scikit-learn, Pandas, TensorFlow.
- Expert ability to work independently and manage one's time.
- Expert mentoring skills necessary to provide support and constructive performance feedback.
- Expert knowledge of the full software development lifecycle: from business/systems analysis, through requirements gathering and functional specification authoring, to development, testing, and delivery.
- Knowledge of photographic imaging and camera technologies.
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