Reply
Data Engineer
- Location
- Atlanta, GA, US
- Arrangement
- Hybrid
- Employment type
- Full-time
- Posted
- 21 August 2026 (about a month ago)
Checked about a month agoApplications go to the employer, never to RoleSprint
About this 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
Locations
- Atlanta, GA, US
- Kansas City, MO, US
- Philadelphia area, PA, US
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About this listing
Published on Lever under the board identifier Reply, which is the name the employer’s own job board carries. RoleSprint has not verified the company’s registered or trading name, so it is shown exactly as published rather than tidied up.
RoleSprint is not the employer and not a recruiter. Applications are made on the employer’s own site and never reach us; what RoleSprint does is help you decide whether a role is worth your time and prepare for it if it is.
Published 21 August 2026, last checked about a month ago. A posting stops being advertised here 90 days after the employer published it, and one the employer takes down is marked closed rather than quietly removed.