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Staff Software Data Engineer Jobs in New York

Software Engineer (Data) Jobs
By Flashpoint At New York, NY, United States
Have the required skills and knowledge base to be added to the on-call rotation.
You have experience working with distributed data systems.
You have strong analytical and problem-solving skills to identify data-related issues and implement effective solutions.
Contribute to the improvement of current software processes (requirements, design, implementation, testing, and validation).
Experience using Cloud data services.
Experience with Big Data and distributed processing systems (Spark, Beam, etc)
Staff Software Engineer - Data Engineer
By Character.AI At New York, United States
B.A.S. in Computer Science or equivalent experience.
7+ years of industry experience
Experience building data pipelines: Kafka, Spark, Beam, logical replication and/or Datastream
Experience designing, implementing and using end-to-end A/B testing frameworks, data warehouses and data lakes
In-depth experience building and managing infrastructure in a cloud environment (GCP, AWS or Azure)
Strong Python and SQL experience
Staff Software Engineer Jobs
By dYdX At New York, NY, United States
Manage individual projects priorities, deadlines and deliverables with your technical expertise.
8+ years experience working as a full-time developer.
You have experience with or are open to learning JavaScript, TypeScript, Go, Node.js, PostgreSQL, Redis, Kafka, Express, WebSockets, Docker, AWS, Terraform.
You've worked on high quality products in the finance or security space
You have experience building & operating complex, highly reliable distributed systems involving microservices and APIs
An interest in full-stack development. Experience building and architecting backend Web Services, as well as Web or Mobile applications
Staff Engineer I, Data Engineering
By Etsy At , Brooklyn, 11201, Ny $185,000 - $217,000 a year
You have developed skills in SQL and writing efficient and optimized ETL pipelines.
Experience working in an agile environment, participating in sprint planning, delivering work and contributing to a retrospective.
You will initially work very closely with the HRIS and People Analytics team on an MVP for people data reporting.
Build ETL pipelines, data warehouses, data marts, and aggregate tables.
You partner with Privacy, Data Platform, Data Application and HRIS teams.
Establish and document procedures, policies and technical instructions.

Are you looking for an opportunity to use your software engineering skills to make a real impact? We are looking for a Staff Software Data Engineer to join our team and help us develop and maintain data pipelines and data models that will power our business. You will be responsible for designing, developing, and maintaining data pipelines and data models that will enable us to make better decisions and drive our business forward. If you have a passion for data engineering and a desire to make a difference, this is the job for you!

What is Staff Software Data Engineer Job Skills Required?

• Proficiency in programming languages such as Python, Java, C++, and SQL
• Knowledge of data engineering principles and best practices
• Ability to design and develop data pipelines and ETL processes
• Experience with data warehousing and data modeling
• Familiarity with cloud computing platforms such as AWS, Azure, and GCP
• Knowledge of data security and privacy protocols
• Ability to troubleshoot and debug data engineering issues
• Excellent problem-solving and analytical skills

What is Staff Software Data Engineer Job Qualifications?

• Bachelor’s degree in Computer Science, Information Technology, or a related field
• 5+ years of experience in software engineering and data engineering
• Experience with big data technologies such as Hadoop, Spark, and Kafka
• Knowledge of data visualization tools such as Tableau and Power BI
• Understanding of data governance and data quality principles
• Ability to work independently and collaboratively in a team environment

What is Staff Software Data Engineer Job Knowledge?

• Knowledge of software engineering principles and best practices
• Understanding of data structures and algorithms
• Familiarity with database systems such as MySQL, Oracle, and MongoDB
• Understanding of data warehousing