Azure Data Engineer

Post Date

Jul 14, 2023

Location

Atlanta,
Georgia

ZIP/Postal Code

30328
US
Aug 23, 2025 Insight Global

Job Type

Perm

Category

Data Warehousing

Req #

ATL-637104

Pay Rate

$120k - $130k (estimate)

Job Description

The Data Engineer is responsible for designing, enhancing, and maintaining our organization's data infrastructure including Azure Dedicated SQL Pools, Data Lakes, and traditional on-premise SQL servers. This position designs, builds and manages data pipelines connecting to both on-premise and cloud sources using SSIS as well as Azure Data Factory. The Data Engineer works closely with the Data & Analytics team to ensure that our data infrastructure is efficient, reliable, and scalable.



This Client is committed to employee wellbeing and life-work balance, offering development opportunities, a flexible time-off program, and an industry leading parental leave policy.



Primary Duties & Responsibilities

-Designs, enhances, and maintains Data Warehouse and Data Lake.

-Monitors system performance.

-Designs, enhances, and maintains data pipelines connecting to both on-premise and cloud sources using SSIS as well as Azure Data Factory.

-Develops and maintains documentation for data pipelines and data processing systems.

-Ensures that data quality and data integrity are maintained throughout the data pipeline.

-Collaborates with other technology teams to ensure that our data infrastructure is integrated with other systems and platforms.

-Implements data security and privacy measures to protect sensitive data.

Required Skills & Experience

Education & Experience

- Bachelor's degree in Business Information Systems, Computer Science, Information Technology, or related field.

-1 -- 3 years of experience developing Power BI Reports and Dashboards.



Skills & Abilities

-Proficiency in T-SQL and Python.

-Experience with ETL/ELT tools such as SSIS and Azure Data Factory.

-Knowledge of both on premise and cloud database management systems.

-Strong understanding of data modeling principles and best practices.

-Familiarity with Big Data concepts such as Multi Parallel Processing and Modern Cloud Data Warehouse Architecture.

-Excellent communication skills, both verbal and written.

-Exceptional analytical and problem-solving skills with keen attention to detail.

-Ability to work both independently and as part of a team.

Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.