Data Engineer, Implementation Team

Department: Engineering

Employment Type: Full Time

Location: Remote

Description

We are looking for someone to join our team who we can count on to execute technical onboarding for our clients, specifically related to integration of SIS data with the Coursedog application on a per client basis.

Key Responsibilities

• Run partner and client-facing conversations about technical integrations.
• Call external APIs to perform data review, examine data structures for potential issues and manipulate CSV and JSON Data.
• Work directly with clients to improve their experience and turn insights into actionable product feedback.
• Be responsible for user acceptance testing
• Own all aspects of the client's technical onboarding experience from point of sales handoff through to maintenance.
• Define new SIS integration architecture and methodologies
• Work with our Vice President and Data Engineering Manager to improve our system integrations and own our go-lives.
• Develop deep product knowledge; provide API integration expertise; understand the ins and outs of Higher Education; strong customer service skills; QA mindset; strong technical and oral communication
• Data quality/product improvements, improve time to integration, drive customer experience, raise NPS scores, improve our internal toolset

Skills Knowledge and Expertise

Technical Skills:

• Data Integration: Experience with integrating data from various sources and ensuring data consistency and accuracy.
• Process & Tools Used on the Job: API operations, SSO, User Provisioning, Github, Postman Collections.
• Data Modeling: Ability to understand data models and practically apply this knowledge to customer projects, team playbooks and best practices for resilient service delivery. Specific knowledge in Student Information System (SIS) data structures such as Ellucian Banner, Ellucian Colleague, Workday, Peoplesoft or others.
• Programming Languages: Proficiency in object-oriented programming and scripting languages, with a preference for Java, Python and SQL.
• ETL Processes: Strong understanding of ETL (Extract, Transform, Load) processes and tools.
• Database Management: Experience working with relational databases (e.g., Oracle, PostgreSQL, SQL).

Analytical Skills:

• Troubleshooting: Experience troubleshooting scenarios where data is synchronized across multiple systems, comparing data sets, reviewing logs, identifying and resolving issues.
• Data Analysis: Strong analytical skills to interpret data and provide actionable insights.
• Statistical Analysis: Knowledge of statistical methods and tools for data analysis.

Soft Skills:

• Problem-Solving: Ability to identify problems and develop effective solutions.
• Communication: Excellent verbal and written communication skills to collaborate with cross-functional teams.
• Attention to Detail: High level of accuracy and attention to detail in data handling and analysis.
• Time Management: Ability to manage multiple projects and meet deadlines efficiently.
• Project Management: Understand and actively engage in ensuring the impact data engineers have in on-time, quality delivery of customer projects from inception to completion.
• Documentation: Updating customer implementation documentation, methodology playbooks used for deployment steps and issue resolution steps
• Customer Centric Knowledge: Our customers are educational institutions, everyone in our company needs to be able to understand how our customers operate to be able to understand how our work impacts and delivers value.

Benefits

Benefits

• Healthcare: We pay 99% of your medical, dental, and vision coverage and 75% of the premium for your spouse and/or dependents
• Retirement: We offer a 401k plan on day one of your employment.
• Paid Time Off: We value work-life balance and provide a high amount of autonomy. In service to this, our Paid Time Off policy has no annual limit.
• Remote-First: We value flexible working hours over set hours, results over number of hours, and asynchronous communication focused on transparency over need-to-know access.
• Equity: You’ll be contributing to the team's success, so you des