Analytics Engineer

Analytics Engineer

Location: Atlanta, GA (Hybrid)

Duration: 08/18/2025 06/30/2026 (Contract)

Work Arrangement: Hybrid (On-site Tuesday Thursday; must reside in Georgia)

About the Role

The Analytics Engineer will play a key role in the data modernization initiatives by designing and implementing scalable, secure, and high-performing data solutions. You will work with cutting-edge tools like Azure Databricks, Microsoft Fabric, and Power BI to transform raw data into analytics-ready models that empower decision-making and enterprise reporting.

Key Responsibilities

• Data Engineering & Pipeline Development

  • Design and maintain robust ETL/ELT pipelines using Azure Databricks and Microsoft Fabric.

  • Implement Medallion Architecture (Bronze, Silver, Gold layers) for data lifecycle management.

  • Develop real-time and batch ingestion processes from various source systems.

  • Ensure data quality and apply transformation logic using Python, Spark, and SQL.

  • Implement Delta Lake for data versioning, schema enforcement, and ACID transactions.

  • Integrate with Azure services such as OneLake and ADLS Gen2.

• Data Modeling & Curation

  • Design dimensional and real-time data models in collaboration with domain experts.

  • Standardize schemas and naming conventions.

  • Prepare analytics-ready datasets for Power BI dashboards and reports.

• Data Governance & Security

  • Apply data classification and tagging based on governance policies.

  • Implement row-level security, data masking, and audit logging.

  • Support integration with Microsoft Purview for metadata and lineage management.

• Reporting & Visualization

  • Work closely with BI developers to optimize data models for Power BI.

  • Deliver curated datasets aligned with reporting and business logic requirements.

• DevOps & Automation

  • Assist in CI/CD automation for data workflows using Azure DevOps.

  • Monitor and optimize data jobs for performance and scalability.

Required Qualifications

• Bachelor s degree in Computer Science, Data Engineering, or a related field.

• 3 years of experience in data engineering or analytics engineering roles.

• Proficiency in:

  • SQL (advanced techniques for data transformation and optimization)

  • Azure Databricks (Spark, Delta Lake)

  • Microsoft Fabric (Dataflows, Pipelines, OneLake)

  • Python (Pandas, PySpark)

  • SQL Server 2019

• Strong understanding of ETL/ELT processes, data quality, and schema design.

• Familiarity with data modeling, governance, and security best practices.

Preferred Skills

• Experience building datasets and semantic models for Power BI.

• Knowledge of Microsoft Purview, Unity Catalog, or similar governance tools.

• Exposure to real-time data streaming architectures.

• Experience with Azure DevOps, CI/CD, and Terraform.

• Familiarity with compliance requirements for federal or state data handling.

Certifications (Preferred)

• Microsoft Fabric Analytics Engineer

Soft Skills

• Excellent communication skills for both technical and non-technical audiences.

• Strong problem-solving and analytical abilities.

• Ability to collaborate effectively with cross-functional teams and government stakeholders.