Sr. Data Engineer (W2 Only)

Company Overview At 4A Consulting, we turn complexity into opportunity. Founded in 2014 and headquartered in Baltimore, MD, we are a women-owned, boutique consulting firm specializing in delivering innovative, data-driven solutions to both the Federal Government and Fortune 500 clients. Our team blends deep industry knowledge with advanced technologies to design tailored strategies that drive measurable and sustainable outcomes. We pride ourselves on an agile, collaborative approach that helps organizations navigate challenges and seize emerging opportunities in a rapidly evolving digital landscape. At 4A, we don t just deliver projects, we build trusted partnerships that empower our clients to lead with confidence in the digital age. Position Overview We are seeking a Senior Data Engineer to build, manage, and optimize scalable, secure, and high-performance data platforms that enable enterprise analytics, reporting, and AI initiatives. This role will lead the development of modern ETL/ELT solutions across Microsoft Fabric and Azure while ensuring enterprise-grade data integration, governance, security, and performance optimization. The ideal candidate will have strong expertise in Azure data engineering, Microsoft Fabric, modern data architecture, ETL/ELT development, and enterprise-scale data platform engineering. Key Responsibilities Design, develop, and maintain scalable ETL/ELT pipelines to extract, transform, and load data from diverse structured and unstructured data sources Build and maintain modern data pipelines using Microsoft Fabric Pipelines, Azure Data Factory, and Azure Synapse Design and optimize database architectures and data platforms for performance, scalability, reliability, and security Develop modern cloud-native data solutions supporting lakehouse and medallion architectures Integrate data from APIs, third-party platforms, and hybrid on-prem/cloud environments Develop data workflows using Python, SQL, Spark, and modern data processing frameworks Implement secure enterprise data architectures using RBAC, Key Vault, Private Endpoints, and Managed Identities Design data security controls including row-level, column-level, and object-level security Implement CI/CD pipelines for data platforms using Azure DevOps or GitHub Establish automated deployment, testing, and environment promotion strategies Support downstream semantic models and reporting layers by delivering well-modeled and governed datasets Partner with analytics, reporting, and AI teams to deliver trusted production-ready data products Optimize data platform performance through partitioning, Delta storage optimization, and query tuning Implement robust observability through telemetry, alerting, anomaly detection, and lineage-based root cause analysis Ensure platform reliability through fault-tolerant orchestration and automated validation processes Lead architecture discussions and influence enterprise data platform standards Collaborate with engineers, analysts, and business stakeholders to translate requirements into scalable technical solutions Mentor junior engineers and contribute to engineering excellence and knowledge sharing Operate effectively within Agile delivery environments Required Qualifications 8+ years of experience in Data Engineering, Software Engineering, or Platform Engineering 5+ years building production-grade data solutions on Microsoft Azure Strong hands-on experience with Microsoft Fabric Strong experience with at least two of the following: Azure Data Factory, Azure Synapse, Databricks, Azure SQL, Power BI Advanced proficiency in SQL and Python Strong experience with Spark and modern data processing frameworks Experience with data processing tools such as PyArrow, Pandas, NumPy, Polars, delta-rs, or DuckDB Strong experience designing modern data architectures including lakehouse and medallion models Hands-on experience with CI/CD, Git workflows, and environment promotion Experience implementing enterprise security, identity, and access controls Strong troubleshooting, performance tuning, and root cause analysis skills Experience working in regulated or large-scale enterprise environments Microsoft Fabric certifications preferred including DP-700 Preferred Qualifications Experience optimizing Delta storage and partitioning strategies Experience with columnstore optimization and low-latency analytics workloads Experience supporting semantic models and enterprise analytics platforms Experience supporting AI and advanced analytics initiatives Additional certifications such as DP-600 or DP-203 preferred Strong leadership and mentoring experience Applicants must be legally authorized to work in the United States. Employer sponsorship is not available for this position. Why Join 4A Be part of a mission-driven, women-owned consulting firm with a reputation for excellence. Work on high-impact projects across federal and commercial clients. Collaborate in an inclusive, growth-oriented culture where innovation is valued. Access career development programs, mentorship, and learning opportunities. Enjoy a comprehensive benefits package, flexible work options, and a focus on work-life balance. Equal Opportunity Statement 4A Consulting is an Equal Opportunity Employer committed to an inclusive hiring process. Applicants requiring a reasonable accommodation due to a disability may contact . This email is intended solely for accommodation requests. Please note that 4A Consulting participates in the federal E-Verify program. Upon hire, we will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the US. 4A Consulting will only use E-Verify once you have accepted a job offer and completed the Form I-9.