Data Engineer

As a Data Engineer, you will design, build, and optimize modern data platforms using Microsoft Azure, Microsoft Fabric, Power BI, and Databricks. You combine deep technical expertise with strong consulting skills to engage clients, understand their business needs, and translate requirements into scalable solutions. You contribute to solution architecture and deliver high-quality data solutions that drive measurable business value. You are comfortable discussing technical details with engineers, facilitating design sessions with clients, and presenting recommendations to leadership.

• 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, Dev Ops, and security.

• Bachelor’s degree in computer science or related field
• 4 years of experience in data engineering, data platform development, or cloud data solutions
• 2 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
• Expertise with Databricks, specifically the ability to design enterprise‑level strategy and architecture including Unity Catalog, data warehousing, data sharing
• Dev Ops for data, Git Hub, 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

• Experience working directly with clients, business stakeholders, or cross‑functional teams in a consulting or professional services environment
• 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

The base compensation range for this full‑time position is between $120,000-$150,000 plus benefits. Compensation decisions are supported through market data, where regional variances may exist based on cost of labor. We also consider prior experience, relevant skills, education, training, certifications, and other job‑related qualifications.

Reply is an equal opportunity employer. We are committed to provide equal opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you need assistance and reasonable accommodation due to a disability during the application or the recruiting process, email us at

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.