Analytics Engineer

  • Atlanta, GA
  • Posted 1 day ago | Updated 2 hours ago

Overview

Hybrid
$50 - $60
Contract - W2
Contract - Independent

Skills

Data Engineering / Analytics Engineering
SQL
Azure Databricks
Visualization

Job Details

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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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