- Data pipelines and codebases to ensure data consistency and access that can help drive decision making at NYPL
- Data policies that can help regulate data access and create a consistent picture of NYPL's activities
- Help NYPL staff understand the usefulness, and limitations, of collected data and how to use it to reach their goals
- Collaborate with other NYPL engineers to connect data pipelines to new and existing projects
- Work with product owners to understand available data and how it may be accessed
- Follow new developments in data engineering and apply these best practices to data engineering at NYPL
- Collaborate with other NYPL engineers to find best practices and implement new skills into our data engineering work
- Document existing and new data pipelines, helping our data engineering team communicate the success of our work
- Become familiar with the existing data management systems and the pipelines that have already been created
- Understand the data that NYPL is collecting, their sources and their significance
- Meet with key stakeholders in Digital and other departments to understand their roles in this work
- Develop an understanding of Digital Research Books (DRB) and its data requirements
- Be comfortable both ingesting and extracting data in our data warehouse
- Begin building understanding of the systems that connect to the warehouse with the help of of data engineering team members
- Work on our existing ETL systems to improve and extend them
- Create new pipelines to add data from new sources to our data warehouse
- Take ownership of key data pipelines and reporting requirements
- Develop strong relationships with other engineers, product and project managers and other stakeholders outside of digital
- Contribute to delivering on NYPL Digital's strategic goals for data collection
- Help create automated reports on key metrics that support NYPL's annual goals
- Grow data engineering as a unit within NYPL Digital
- Understand data engineering team priorities and requirements for data collection, reporting, and analysis
- Work with the Data Engineering Product and Project Managers to understand the core KPIs they are being asked to collect
- Collaborate with other engineers across the department to understand project requirements and contribute to the designing of complex ETL pipelines
- Communicate with stakeholders from other NYPL Departments to understand desired data collection, requirements and limitations
- Support staff in generating regular data reports, including fetching data from the data warehouse if necessary
- Help ensure best practices-based development of data pipelines and other tools, with the goal of increasing the capacity and reliability of these pipelines
- Bachelor's Degree - OR - 5+ years of hands-on development experience on relevant tech stack
- 5+ years of hands-on development experience on relevant tech stack
- 3+ years of software engineering experience with focus on data aggregation and analysis pipelines
- Production experience with Python
- Excellent knowledge of relational databases
- Familiarity with Data Warehouse technologies (such as AWS's RedShift)
- Proficiency in producing and consuming spreadsheets (Excel/CSV/Smartsheet)
- Strong knowledge of the design & use of APIs, particularly using REST
- Experience with cloud platforms (AWS strongly preferred)
- The ability to work independently and proactively, as well as to collaborate with colleagues around Digital and the rest of the library
- None
- Be Helpful to patrons and colleagues
- Be Resourceful in solving problems
- Be Curious in all aspects of your work
- Be Welcoming and Inclusive
- Office Setting
- Hybrid work environment; requires onsite work in NYC - not remote
- Limited physical effort is required
- May require travel within NYC
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Data Engineer - New York, United States - The New York Public Library
Description
OverviewThis is a temporary four-year grant-funded position.
The New York Public Library is looking to expand our Data Engineering team with a new engineer. In this role you'll have the opportunity to contribute to new and existing data pipelines that help the library understand our activities and support many staff members in making important decisions for the direction of NYPL. The focus of this role is on expanding our data collection while maintaining data fidelity, accuracy and privacy (see our Privacy Policy here) in our data warehouse. A special focus of this role will be for the collection of data from our public domain Digital Research Books Project, which is helping increase access to a wide range of materials not previously available online.
We are looking for someone we can count on to:Own :
Required Education, Experience & Skills
Required Education & CertificationsMore...
Core ValuesAll team members are expected and encouraged to embody the NYPL Core Values:
No
Union/Non Union
Non-Union
FLSA Status
Exempt
Schedule Monday - Friday, 9am - 5pm
This job description represents the types and levels of responsibilities that will be required of the position and shall not be construed as a declaration of all of the specific duties and responsibilities for the role. Job duties may change if Library priorities change. Employees may be directed to perform job-related tasks other than those specifically presented in this description as needed.
The New York Public LibrarySalary Statement At the Library, we believe that pay transparency and pay equity are important to ensuring we source the best candidates and keep the best employees. When making a determination as to the appropriate salary for a candidate, we consider a variety of factors such, including, but not limited to, the position requirements, the skills, prior experience, and educational background required or preferred for the job, the scope and impact of the role within the organization, internal peer equity, and the candidate's specific training, experience, education level, and skills. No single factor is conclusive; the Library reserves the right to consider any and all relevant factors and make a decision consistent with its policies.
Union Salaries are determined by collective bargaining agreement(s).