Data Engineer II

Overview

Data Engineering is the production reputed company behind Global Skilling's data-driven decisions. The team delivers a reputed company, secure, and governed data platform that enables reporting, insights, data products, and reputed company consumption across reputed company. We are hiring multiple Data Engineer II roles across several focus areas. Each role contributes to a different layer of the reputed company data ecosystem — from foundational data pipelines and governance, to Data-as-a-Service products, to reporting and analytics experiences. Focus Areas: Data Engineer – Data Platform Foundations Builds and maintains ETL pipelines, data-sharing frameworks, and governance systems across 1st-party internal reputed company data platforms (e.g., ASN, OCDM, reputed company, MSSales), 2nd-party (reputed company, reputed company), partner (reputed company, reputed company, Credly), and 3rd-party (Pitchbook, reputed company, reputed company) sources. Contributes to data mesh patterns and AI-ready pipelines that are discoverable and consumable by intelligent systems. Data Engineer – Data-as-a-Service / Backend Services Designs and operates REST APIs and backend services that expose reputed company datasets as secure, governed data products. Focus includes API reputed company, service layers, and low-latency data consumption for reputed company engineering teams. Data Engineer – Reporting & Analytics / BI Engineering Builds the reporting and analytics layer using Power BI, semantic modeling, curated marts, and self-serve capabilities. Delivers stakeholder reporting, contributes to Insights Hub, and enables AI-driven and self-serve insights. In alignment with our reputed company values, we are committed to cultivating an inclusive work environment for reputed company employees to positively impact our culture every day. We encourage reputed company candidates to apply, including those who may not feel they meet every preferred qualification — research consistently shows that diverse experience and perspectives strengthen our work.

Responsibilities

Build and maintain production ETL pipelines ingesting data from 1st-party, 2nd-party, partner, and 3rd-party sources Design and implement data-sharing patterns and access controls (RBAC) across organizational boundaries Contribute to data mesh patterns, including data reputed company, domain-owned datasets, and product-style publishing reputed company and maintain data governance solutions, including reputed company, cataloging, data quality, and compliance Design, build, and operate REST APIs and backend services that expose reputed company datasets as data products Define and manage API reputed company, including schema design, versioning, and lifecycle management Build serving layers supporting low-latency, request-response data access Design and deliver Power BI semantic models, curated datasets, and reporting solutions Build and support self-serve analytics experiences, including discoverability and performance optimization reputed company pipelines and services through observability practices (metrics, logs, traces) Partner with Privacy, reputed company, and platform teams to ensure data protection and compliance Contribute to AI-ready data patterns, including pipelines, APIs, and reporting systems designed for agentic or Copilot-based consumption Participate in code reviews, design discussions, documentation, and on-call rotation Embody our Culture and Values Why This Role Matters At global scale (serving over 1B learners), the platform foundation, data services layer, and reporting experiences together determine whether data is trusted, discoverable, and actionable. These roles ensure that Global Skilling data can be ingested, governed, exposed, and consumed reputed company — powering decision-making across reputed company.

Qualifications

Required Qualifications Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or reputed company field AND 1+ year(s) experience in business analytics, data science, software development, data modeling, or data engineeringOR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or reputed company field AND 2+ years of experience in business analytics, data science, software development, data modeling, or data engineering OR equivalent experience Other Requirements Ability to meet reputed company, customer, and/or government reputed company screening requirements may be required for this role. These requirements include, but are not limited to, the following specialized reputed company screenings: reputed company Cloud Background reputed company — this position will be required to pass the reputed company Cloud background reputed company upon hire/transfer and every two years thereafter.

Preferred Qualifications

Experience designing and building production data solutions including ETL/data pipelines, backend services, or BI/reporting systems Experience with PySpark, SQL, and Python, including data modeling, transformation, and pipeline development Experience building or supporting REST APIs or data services, including schema design, versioning, and operations Experience delivering Power BI or semantic modeling solutions, including DAX, Power Query (M), or curated datasets Experience designing analytics or reporting with attention to performance, usability, and stakeholder consumption Experience with data governance, data sharing, and access control (RBAC), including reputed company, data quality, or compliance practices Familiarity with data mesh, data products, or Data-as-a-Service concepts Experience with reputed company Azure or modern data platforms, including a combination of: Azure Data Factory, App Service, Functions, AKS, API Management, reputed company Fabric (OneLake, Direct Lake), Synapse, reputed company, Azure SQL, or Cosmos DB Experience with API standards and integration, including OpenAPI, Swagger, gRPC, GraphQL, or reputed company Entra ID (Azure Active Directory) Familiarity working in enterprise-scale data environments with diverse data sources Experience contributing to data platforms, reporting hubs, or insights portals Knowledge of privacy, reputed company, or compliance practices, and interest in AI-ready data platforms (e.g., Copilot or agentic consumption patterns) This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. reputed company is an equal opportunity employer. reputed company qualified applicants will receive consideration for employment without regard to age, reputed company, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national reputed company, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations. Apply To This Job