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Azure Data Engineer Jobs in Decatur, GA (NOW HIRING)

Data Engineer

Atlanta, GA

$110.10K - $132.20K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure ...

Data Engineer

Alpharetta, GA · On-site +1

$111.80K - $134.20K/yr

Strong Azure data platform expertise (Databricks, ADF, Synapse, Event Hubs, Functions, ADLS Gen2, Key Vault, DevOps). * Proficiency in Spark, PySpark, and SQL. * Experience implementing Medallion ...

Data Engineer 3

Atlanta, GA · On-site

$110.10K - $132.20K/yr

Data Engineer 3 Location: Atlanta/ Hybrid Client- Southern Co Gas Corp Contract- 1 Year Position ... Support DataBricks and Azure-based testing and quality monitoring workflows Required Qualifications

Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

As a Data Engineer, you will own key parts of the pipeline lifecycle-from ingesting source data ... Build and deploy serverless data solutions using Azure Functions for event-driven processing and ...

... Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies ...

Data Engineering Lead- Finance

Atlanta, GA · On-site

$110.10K - $132.20K/yr

Minimum of 4 years of experience as a Data Engineer, working with cloud platforms (Azure, AWS). * Proven track record of managing stakeholder expectations and delivering data solutions aligned with ...

Lead Data Engineer

Atlanta, GA · On-site

$98.50K - $129.80K/yr

Requirements: - Expert years of hands-on experience in Data Engineering across On-Premises and Cloud-based platforms. - Proficiency in Azure Data Factory, Databricks, PySpark, Python, and associated ...

lead or architect

Atlanta, GA · On-site

$61 - $79.50/hr

Required Skills and Experience Experience 10 years in data engineering or architecture, with at least 4 years in a senior or architect role focused on cloud solutions.Azure Expertise Deep, hands-on ...

Data Network Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

Technical Stack: • Microsoft Fabric • Azure Databricks • SQL Server / SQL Managed Instances ... Fabric Analytics Engineer or Azure Data Engineer Associate • Knowledge of CI/CD automation with ...

Data Analyst IV

Atlanta, GA · On-site

$50 - $60/hr

... Azure data services, Databricks, and SQL Server environments. The position emphasizes production-grade data engineering, database optimization, and analytics platform enablement, while maintaining ...

Azure Databrick with Anaplan

Atlanta, GA

$53 - $65.75/hr

Key Responsibilities Data Engineering Pipeline Development Design develop and optimize ETLELT pipelines using Azure Databricks PySpark Build scalable data ingestion workflows from various structured ...

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Azure Data Engineer information

See Decatur, GA salary details

$43.4K

$126.6K

$173.3K

How much do azure data engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for azure data engineer in Decatur, GA is $126,646.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,800.00 and $134,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Azure Data Engineer, and why are they important?

To thrive as an Azure Data Engineer, you need proficiency in data modeling, SQL, ETL processes, and a solid understanding of cloud computing concepts, typically supported by a degree in computer science or a related field. Familiarity with Microsoft Azure services (such as Azure Data Factory, Azure Synapse Analytics, and Azure Databricks), and relevant certifications like Microsoft Certified: Azure Data Engineer Associate, are highly valuable. Strong problem-solving skills, effective communication, and adaptability help you collaborate across teams and respond to evolving project needs. These skills are crucial for designing robust data solutions that support business intelligence and decision-making in cloud environments.

What are some common challenges Azure Data Engineers face when integrating data from multiple sources?

Azure Data Engineers often encounter challenges when consolidating data from diverse sources such as on-premises databases, cloud storage, and third-party applications. Issues like data format inconsistencies, varying data quality, and synchronization timing can complicate the integration process. Leveraging Azure services like Data Factory and Synapse Analytics helps automate and streamline these tasks, but careful planning and robust data validation are essential. Collaboration with business analysts and data architects is also crucial to ensure the integrated data meets organizational requirements.

What are Azure Data Engineers?

Azure Data Engineers are IT professionals who design, implement, and manage data solutions using Microsoft Azure cloud services. They are responsible for building data pipelines, integrating diverse data sources, and ensuring data is stored securely and efficiently. These engineers work with tools like Azure Data Factory, Azure Databricks, and Azure Synapse Analytics to process, transform, and analyze large volumes of data. Their main goal is to provide reliable data infrastructure to support business intelligence and analytics needs.

What is the difference between Azure Data Engineer vs Data Analyst?

AspectAzure Data EngineerData Analyst
Required CredentialsAzure certifications, SQL, Python, cloud skillsData analysis certifications, SQL, Excel, BI tools
Work EnvironmentCloud platforms, data pipelines, big data toolsData visualization, reporting, business insights
Industry UsageTech, finance, healthcare, retailMarketing, finance, healthcare, retail

Azure Data Engineers focus on building and maintaining data pipelines in cloud environments, utilizing tools like Azure Data Factory and SQL. Data Analysts interpret data to generate reports and insights, often using Excel and BI tools. While both roles work with data, Azure Data Engineers handle data infrastructure, whereas Data Analysts focus on data interpretation and visualization.

What are the most commonly searched types of Azure Data Engineer jobs in Decatur, GA? The most popular types of Azure Data Engineer jobs in Decatur, GA are:
What are popular job titles related to Azure Data Engineer jobs in Decatur, GA? For Azure Data Engineer jobs in Decatur, GA, the most frequently searched job titles are:
What job categories do people searching Azure Data Engineer jobs in Decatur, GA look for? The top searched job categories for Azure Data Engineer jobs in Decatur, GA are:
What cities near Decatur, GA are hiring for Azure Data Engineer jobs? Cities near Decatur, GA with the most Azure Data Engineer job openings:

$110.10K - $132.20K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 24 days ago


Job description

DLA Piper is, at its core, bold, exceptional, collaborative and supportive. Our people are the backbone, heart and soul of our firm. Wherever you are in your professional journey, DLA Piper is a place you can engage in meaningful work and grow your career. Let's see what we can achieve. Together.

Summary

The Data Engineer, Solutions & Data role designs, builds, and operates data pipelines and data integration processes that translate raw data into trusted, usable datasets for analytics, reporting, and downstream solutions. The role focuses on operationalizing pipelines with governance and service expectations (SLAs), improving data quality and reusability, and enabling secure access to integrated data in support of business initiatives. In current initiatives, data engineering includes consolidating data from multiple sources into a central SQL-based integration point and performing field mapping and transformations, so solution teams can consume data consistently.

Location

This position can sit in any of our U.S. offices and offers a hybrid work schedule.


Responsibilities

Data Pipeline Engineering & Integration

  • Build and operationalize data pipelines across heterogeneous environments, aligning to governance principles and service expectations (SLAs).
  • Build and maintain ingestion, transformation, and publication of pipelines (data engineering practice) to deliver analytics-ready data.
  • Consolidate data from multiple sources into a centralized integration point (e.g., a single SQL Server instance) and manage field mappings and transformations to support consistent downstream consumption.

Data Platform & Storage

  • Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS) to ingest, process, and deliver data from sources such as APIs and other systems.
  • Build and maintain data warehousing capabilities (e.g., Azure Synapse Analytics) to support analytics and reporting workloads.

Data Quality, Reliability & Operations

  • Identify, troubleshoot, and resolve data issues including data quality, integrity, latency, and security concerns; apply monitoring and operational best practices to keep pipelines reliable and performant.
  • Contribute to data quality and governance practices, including profiling datasets, defining quality rules, and establishing monitoring/remediation approaches.

Collaboration & Delivery (Agile Pod Model)

  • Work cross-functionally with engineers, analysts, and stakeholders to understand requirements and deliver data solutions that support sprint-based delivery.
  • Support pod-level delivery by producing reusable data assets and integration components that can be leveraged across multiple initiatives.

Desired Skills

  • Proficiency in SQL and Python.
  • Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS).
  • Data warehousing experience (Azure Synapse Analytics) and strong fundamentals in data modeling, warehousing, and governance.
  • Scripting/automation skills (PowerShell and related tooling) for platform operations and troubleshooting.
  • Preferred experience includes familiarity with additional programming languages such as Java, Scala, or Go; experience integrating data from multiple enterprise source systems into a central SQL-based integration layer; and familiarity with DataOps concepts and operating in cross-functional teams that include data engineering personas.
  • The measures of success for this role include delivering data pipelines with trusted, quality data with agreed service levels, enabling faster onboarding of new data and more consistent analytics/AI consumption and creating reduced manual effort through reusable integrations and standardized transformations, improved data reliability and operational readiness.


Minimum Education

  • High School or GED


Preferred Education

  • Bachelor's Degree in Computer Science, Engineering, or related field.


Minimum Years of Experience

  • 3 years of experience in data engineering and/or data platform engineering (pipelines, integration, and operational support).


Essential Job Expectations

While the specific job requirements of a DLA Piper position may vary depending upon scope of the job and area of specialty, there are certain universal requirements that are expected of all DLA Piper employees, which include but are not limited to:

  • Effectively communicate, verbally and in writing, with clients, lawyers, business professionals, and third parties;
  • Produce deliverables, answer phone calls, and reply to correspondence in an efficient and responsive manner;
  • Provide timely, accurate, and quality work product;
  • Successfully meet deadlines, expectations, and perform work duties as required;
  • Foster positive work relationships;
  • Comply with all firm policies and practices;
  • Engage in both physical and sedentary activity, such as (a) working at a computer for extended periods of time, including on-screen reading and typing; (b) participating in digital/virtual conference calls; (c) participating in meetings as needed;
  • Ability to work under pressure and manage competing demands in a fast-paced environment;
  • Perform all other duties, tasks or projects as assigned.

Our employees are expected to embrace and uphold our firm values as a part of our DLA Piper culture. We are committed to excellence in how we represent our clients and develop our people.

Physical Demands

Sedentary work: Exerting up to 10 pounds of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull or otherwise move objects, including the human body. Sedentary work involves sitting most of the time. Jobs are sedentary if walking and standing are required only occasionally and all other sedentary criteria are met.


Work Environment

The individual selected for this position may have the opportunity for a hybrid work arrangement comprised of remote and in-office work, the requirement for which will be determined in coordination with the hiring manager or supervisor and may be modified in the firm's discretion in the future.
Disclaimer

The purpose of this job description is to provide a concise statement of the work elements and to organize and present the information in a standardized way. It is not intended to describe all the elements of the work that may be performed by every individual in this classification, nor should it serve as the sole criteria for personnel decisions and actions. The job duties, requirements, and expectations for this position may be modified at the Firm's discretion at any time. This job description does not change the at-will nature of employment.

Application Process

Applicants must apply directly online instead of sending application materials via email.

Accommodation

Reasonable accommodations may be made upon request to permit individuals with a disability to perform the essential functions and responsibilities of the position or to participate in the job selection process. If you have a request for an accommodation during the application process, please contact careers@us.dlapiper.com.

Agency applications will not be considered.

No immigration sponsorship is available for this position.


The firm's expected hiring range for this position is $100,787 - $160,255 depending on the candidate's geographic market location.

The compensation offered for employment will also be dependent on other factors including the candidate's experience, skills, educational and professional background, and overall qualifications. We offer a comprehensive package of benefits including medical/dental/vision insurance, and 401(k).

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DLA Piper is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.Job applicant poster viewing center.