Data Engineer
Likely real
- 39 open roles at this company in 30 days (mass-hiring blitz)
- no salary disclosed (correlates with ghost postings)
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About the role
Responsibilities
Work directly with clients to understand business goals, data challenges, and technical requirements
Lead or support discovery sessions, requirements workshops, architecture discussions, and solution reviews
Develop and optimize batch and streaming data ingestion pipelines from enterprise applications, databases, APIs, and file-based sources.
Implement medallion/lakehouse architectures, dimensional models, and data transformation workflows to support analytics and reporting use cases
Engineer solutions using technologies such as PySpark, Spark SQL, SQL, Python, Delta Lake, and orchestration tools within Azure and Databricks
Recommend best practices for data modeling, governance, lineage, monitoring, DevOps, and security
Minimum Requirements
Bachelor’s degree in computer science or related field
6+ years of experience in data engineering, data platform development, or cloud data solutions
3+ years of hands-on experience with Azure Databricks, Apache Spark, or similar distributed data processing technologies
Expertise with Microsoft Azure infrastructure and data resources, including Fabric, Azure Data Factory, Synapse Data Analytics, Power BI, Azure SQL, Azure Cosmos DB, and Azure Database for PostgreSQL
Expertise with Databricks, specifically the ability to design enterprise-level strategy and architecture including Unity Catalog, data warehousing, data sharing, and Mosaic AI
DevOps for data, GitHub, automated testing, and working with containers (AKS, Docker, registries, etc.)
Excellent communication skills, ability to clearly explain concepts to teammates and customers, and quickly learn new concepts and technologies
Preferred Qualifications
Experience working directly with clients, business stakeholders, or cross-functional teams in a consulting or professional services environment.
Experience building data agents, including NLQ, Databricks Genie, and Fabric Data Agents
Experience with data management, including data governance, data security, master data management, and familiarity with different industry security requirements
Broad experience with data/reporting tools, architectures, cloud vendors, and data/AI concepts other than Microsoft
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