Data Engineer

Attractivate Consulting Solutions; Atlanta (GA); Ibrido; USD 90.000 - 130.000; Tempo pieno

Descrizione del lavoro

Attractivate Consulting Solutions is seeking a Data Analytics / Data Engineer in Atlanta, GA. This hybrid role focuses on enterprise-scale data initiatives for operational efficiency, production optimization, and BI across the organization.

The ideal candidate brings Databricks expertise and at least 1 year of hands-on Microsoft Fabric experience, including Lakehouse and data ingestion for analytics workloads. Strong SQL and Python skills are required.

Competenze

• Bachelor’s degree in Computer Science, Data Engineering, Analytics, or a related field.
• 3+ years of experience in data engineering or analytics roles.
• Strong hands-on experience with Databricks (Spark, Delta Lake, notebooks, jobs, workflows).
• At least 1 year of experience with Microsoft Fabric, including Fabric Data Factory, Lakehouse, OneLake, and data ingestion into BI tools.
• Proficiency in SQL and Python; cloud data pipelines in Azure.
• Experience with data warehousing, data modeling, and analytics best practices.
• Experience with Power BI is a plus.

Mansioni

• Design, build, and maintain scalable data pipelines and ETL/ELT processes using Databricks and cloud-native tools
• Develop and optimize data models to support analytics, reporting, and downstream consumption
• Leverage Microsoft Fabric (Data Factory, Lakehouse, OneLake) to ingest, transform, and manage enterprise data
• Partner with business analysts, data scientists, and stakeholders to understand data requirements and deliver actionable insights
• Ensure data quality, governance, security, and performance across all data platforms
• Support analytics use cases related to operations, supply chain, production, and financial reporting within an oil and gas environment
• Monitor and troubleshoot pipeline failures and performance bottlenecks
• Document data workflows, models, and best practices

Conoscenze

Databricks

SQL

Python

Power BI

Azure

Data modeling

Data warehousing

Formazione

Bachelor's degree in CS/Analytics/Data Eng

Strumenti

Databricks

Microsoft Fabric

Power BI

Azure

Descrizione del lavoro

Location: Atlanta, GA (Hybrid preferred; Remote considered for strong candidates)

Employment Type: Full-Time, On Site

Position Overview

Our client, a leading organization in the oil and gas industry, is seeking a Data Analytics / Data Engineer to support enterprise-scale data initiatives focused on operational efficiency, production optimization, and business intelligence. This role will sit at the intersection of data engineering and analytics, building scalable data pipelines and enabling advanced reporting and insights across the organization.

The ideal candidate has strong experience with Databricks and at least 1 year of hands-on experience with Microsoft Fabric, including Lakehouse architectures, data integration, and analytics workloads.

Key Responsibilities

• Design, build, and maintain scalable data pipelines and ETL/ELT processes using Databricks and cloud-native tools
• Develop and optimize data models to support analytics, reporting, and downstream consumption
• Leverage Microsoft Fabric (Data Factory, Lakehouse, OneLake) to ingest, transform, and manage enterprise data
• Partner with business analysts, data scientists, and stakeholders to understand data requirements and deliver actionable insights
• Ensure data quality, governance, security, and performance across all data platforms
• Support analytics use cases related to operations, supply chain, production, and financial reporting within an oil and gas environment
• Monitor and troubleshoot pipeline failures and performance bottlenecks
• Document data workflows, models, and best practices

Required Qualifications

• Bachelor’s degree in Computer Science, Data Engineering, Analytics, or a related field
• 3+ years of experience in data engineering or analytics-focused roles
• Strong hands-on experience with Databricks (Spark, Delta Lake, notebooks, jobs, workflows)
• At least 1 year of experience with Microsoft Fabric, including:
• Fabric Data Factory or data ingestion tools
• Fabric Lakehouse / OneLake
• Integration with Power BI (a plus)
• Proficiency in SQL and Python
• Experience building and maintaining data pipelines in a cloud environment (Azure preferred)
• Solid understanding of data warehousing, data modeling, and analytics best practices

Preferred Qualifications

• Experience working in Oil & Gas, Energy, Utilities, or Industrial environments
• Familiarity with time-series data, operational data, or sensor/SCADA data
• Experience supporting BI tools such as Power BI or similar platforms
• Exposure to data governance, metadata management, and security frameworks
• Azure certifications (Data Engineer, Fabric, or related) are a plus