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Data Engineer

Entreprise
Reply
Lieu
Atlanta, États-Unis
Contrat
CDI
Publication
Publiée le 3 septembre 2026

Description du poste

Data Engineer

Valorem Reply is an award-winning digital transformation firm focused on delivering solutions around data-driven enterprise, IT modernization, customer experience, product transformation and digital workplace by leveraging the power of Microsoft technologies. We provide hyper-scale and agile delivery of unique digital business services, strategic business models and design-led user experiences. Our innovative strategies and solutions securely and rapidly transform the way our clients do business.

We are seeking a Data Engineer to design, build, and optimize modern data platforms for our clients using Microsoft Azure, Microsoft Fabric, Power BI, and Databricks. This role is ideal for someone who combines deep technical expertise with strong consulting skills — someone who can engage directly with clients, understand business needs, translate requirements into scalable technical solutions, and communicate clearly with both technical and non-technical stakeholders.

As a member of the team, you will contribute to solution architecture and help deliver high-quality modern data solutions that drive measurable business value. The ideal candidate is equally comfortable discussing lakehouse architecture with engineers, facilitating design sessions with client stakeholders, and presenting recommendations to leadership teams.

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; Engineering or related field.

• 6+ years of experience in data engineering, data platform development, or cloud data solutions...