Data Engineer / Analytics Developer
Job TitleData Engineer / Analytics Developer (ETL & BI)LocationBaltimore, Maryland (Hybrid onsite with remote flexibility)Job SummarySTAFFXPERT LLC is seeking a Data Engineer / Analytics Developer on behalf of our client in Baltimore, Maryland. This role is ideal for a highly skilled data professional with strong expertise in Azure-based data engineering, ETL/ELT pipeline development, Databricks/Synapse, and Power BI reporting solutions.The ideal candidate will be responsible for designing scalable data pipelines, developing enterprise analytics solutions, and delivering impactful dashboards and reporting capabilities in a modern cloud-based data environment.Key ResponsibilitiesDesign, develop, and maintain end-to-end ETL/ELT pipelines for enterprise data integration. Build scalable data ingestion frameworks integrating APIs, databases, flat files, and legacy systems. Develop interactive dashboards, KPIs, and semantic models using Microsoft Power BI. Perform data transformation, cleansing, and integration using SQL, Python, PySpark, and Spark. Implement and manage lakehouse and medallion architecture (Bronze/Silver/Gold layers). Develop and optimize data warehouses, Delta tables, and reporting models. Create reusable workflows and orchestration pipelines using Azure Synapse Analytics, Azure Data Factory (ADF), and Databricks. Implement data quality validation, logging, monitoring, and error handling processes. Optimize SQL queries, Spark jobs, and Power BI datasets for performance and scalability. Collaborate with business stakeholders to gather requirements and deliver technical solutions. Support data governance, security, access controls, and CI/CD best practices. Contribute to advanced analytics and AI/ML data integration initiatives. Required Qualifications7+ years of experience in Data Engineering, Analytics Engineering, BI Development, or ETL Development. Strong experience with Microsoft Power BI, including dashboards, DAX, Power Query, and semantic modeling. Hands-on expertise with Azure Synapse Analytics, Azure Databricks, and Azure Data Factory (ADF). Strong proficiency in SQL, Python, PySpark, and Spark-based data processing. Experience building and maintaining enterprise-scale ETL/ELT pipelines. Strong understanding of data warehousing, dimensional modeling, and lakehouse architecture. Experience working with Delta Lake, ADLS Gen2, and Parquet. Familiarity with orchestration tools such as Synapse Pipelines or Databricks Workflows. Knowledge of CI/CD, Git/source control, and DevOps practices. Experience implementing data governance, security, and access management standards. Ability to work collaboratively with technical and business stakeholders. Preferred QualificationsMicrosoft Azure certifications such as DP-203 or PL-300. Experience supporting AI/ML or advanced analytics initiatives. Prior experience in public sector, transportation, or large enterprise environments. Experience working with large-scale, multi-source enterprise data platforms.