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Sr. Data Engineer

Job in Atlanta, Fulton County, Georgia, 30383, USA
Listing for: SnapCode Inc
Full Time position
Listed on 2025-10-20
Job specializations:
  • IT/Tech
    Data Engineer, Database Administrator, Cloud Computing, Data Analyst
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Sr. Data Engineer (778831)

Overview

Sr. Data Engineer (778831) role at Snap Code Inc. Under broad supervision, combines strong technical skills with knowledge of database administration. Works on one or more projects of high complexity. Provides technical support to development team members.

Work Location & Attendance

Must be physically located in Georgia. On-site:
Tuesday to Thursday (per manager's discretion). Mandatory in-person meetings:
All Hands, Enterprise Applications, DECAL All Staff.

Position Type

Full-Time

Experience

3-5 years

Responsibilities
  • Assist in designing, building, and maintaining ETL/ELT data pipelines using Microsoft Fabric and Azure Databricks.
  • Support migration and maintenance of SSIS packages from legacy systems.
  • Implement medallion architecture (Bronze, Silver, Gold) for data lifecycle and quality.
  • Create and manage notebooks (Fabric Notebooks, Databricks) for data transformation using Python, SQL, and Spark.
  • Build curated datasets to support Power BI dashboards.
  • Collaborate with data analysts and business stakeholders to deliver fit-for-purpose data assets.
  • Apply data governance policies in line with Microsoft Purview or Unity Catalog.
  • Support monitoring, logging, and CI/CD automation using Azure Dev Ops.
Technical Stack
  • Microsoft Fabric (Dataflows, Pipelines, Notebooks, One Lake)
  • Azure Databricks
  • SQL Server / SQL Managed Instances
  • Power BI
  • SSIS (migration and maintenance)
  • Lang Graph and RAG DB (for advanced data workflows)
Qualifications
  • Bachelor's degree in computer science, Information Systems, or related field.
  • 23 years of experience in data engineering or related roles.
  • Proficiency in SQL, Python, Spark.
  • Familiarity with Lang Graph and RAG DB concepts.
  • Hands-on experience with Microsoft Fabric and Power BI.
  • Understanding of ETL/ELT pipelines and data warehousing concepts.
Preferred
  • Knowledge of CI/CD automation with Azure Dev Ops.
  • Familiarity with data governance tools (Microsoft Purview, Unity Catalog).
  • Experience with SSIS package migration and maintenance.
Seniority level

Mid-Senior level

Employment type

Contract

Job function

Information Technology

Industries

IT Services and IT Consulting

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