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Senior Sql Data Engineer Jobs in Decatur, GA (NOW HIRING)

Data Engineer

Atlanta, GA

$110.10K - $132.20K/yr

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 ...

Senior Data Engineer

Atlanta, GA · Hybrid

$100.70K - $136.80K/yr

Proficiency in SQL, non-relational databases, and programming (e.g., Python, C#). * Familiarity with cloud services like AWS or Azure. * Experience with data modeling, ETL processes, and scalable ...

Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

... SQL, PL/SQL, or equivalent) * Proficiency in Python development for data engineering use cases ... pandas, PySpark, API development, scripting, testing) * Hands-on experience with Databricks or ...

Data Engineer IV

Atlanta, GA · On-site

$110.10K - $132.20K/yr

Data Engineer IV - Modern Enterprise / Lakehouse / AI-Assisted Location: 241 Ralph McGill Blvd, ... The ideal candidate combines strong SQL and data modeling expertise with modern Spark-based ...

GCP Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

B2/C1 The Senior Staff Data Engineer - API serves as a primary development resource for design ... SQL, Cloud Spanner o BigQuery, Cloud Function o Cloud Run, CI/CD, Cloud Logging o Vertex AI, NLP ...

Senior AWS Cloud Data Engineer

Atlanta, GA · On-site

$101.90K - $138.50K/yr

As a Senior AWS Cloud Data Engineer, you will be responsible for designing, developing, and ... SSIS or similar). * Significant hands-on experience working with databases, schemas, complex ...

Data Engineer

Alpharetta, GA · On-site +1

$111.80K - $134.20K/yr

... senior architectural leadership. What will you do in this role? As a Data Engineer, you will be a ... SQL. * Experience implementing Medallion / Lakehouse architectures. * Familiarity with data ...

Sr Data Engineer

Atlanta, GA · On-site +1

$101.50K - $169.10K/yr

The Senior Data Engineer also plays a role in Agile planning, providing advice and guidance, and ... Working experience with SQL Server Integration Services * Working experience with AWS data tools ...

Data Engineer

Atlanta, GA

$110.10K - $132.20K/yr

Python, R, SAS, Julia (Python Preferred) 5 years of experience using SQL with any database 2 years ... Data Engineer Ability to operate independently and proactively and drive the business forwards ...

Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

Python, R, SAS, Julia (Python Preferred) 5 years of experience using SQL with any database 2 years ... Data Engineer Ability to operate independently and proactively and drive the business forwards ...

... a senior or lead capacity * Proven track record of designing and operating large-scale data ... Expert-level proficiency in Python and SQL (Spark SQL, T-SQL, or similar) * Deep experience with ...

Data Engineer

Smyrna, GA · Hybrid

$112K - $134.50K/yr

Data Engineer II Reports To: Financial & Reporting Applications Manager Location: Windy Hill Road ... Optimize SQL queries, data models, and ETL processes for performance and reliability * Perform data ...

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Senior Sql Data Engineer information

See Decatur, GA salary details

$79.1K

$123.3K

$170.9K

How much do senior sql data engineer jobs pay per year?

As of May 31, 2026, the average yearly pay for senior sql data engineer in Decatur, GA is $123,338.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,500.00 and $140,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Senior SQL Data Engineer, and why are they important?

To thrive as a Senior SQL Data Engineer, you need advanced SQL programming skills, strong database design expertise, and experience with data modeling, often supported by a degree in computer science or a related field. Familiarity with database management systems like Microsoft SQL Server, Oracle, or PostgreSQL, ETL tools, and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with stakeholders and troubleshooting complex data issues. These skills ensure the efficient management, integrity, and accessibility of data systems that drive business insights and operations.

How does a Senior SQL Data Engineer typically collaborate with data analysts and other stakeholders in an organization?

Senior SQL Data Engineers work closely with data analysts, data scientists, and business stakeholders to understand data requirements and deliver robust data solutions. They often participate in requirements-gathering sessions, translate business needs into technical specifications, and design or optimize SQL queries, data models, and ETL processes. Effective communication is key, as they must explain complex technical concepts to non-technical team members and ensure data solutions align with business objectives. This collaboration helps ensure the integrity, availability, and usability of data across the organization.

What are Senior SQL Data Engineers?

Senior SQL Data Engineers are experienced professionals who design, develop, and maintain databases using SQL and related technologies. They are responsible for ensuring data is stored efficiently, securely, and is easily accessible for analysis and reporting. In addition to writing advanced SQL queries, they often optimize database performance, manage data integration processes, and collaborate with other IT and business teams to support data-driven decision making. Their role may also involve mentoring junior engineers and implementing best practices for data management.

What is the difference between Senior Sql Data Engineer vs Data Analyst?

AspectSenior Sql Data EngineerData Analyst
Required SkillsSQL, ETL, data warehousing, scripting, database managementSQL, data visualization, statistical analysis, reporting
Work EnvironmentData engineering teams, backend systems, large-scale data infrastructureBusiness units, reporting teams, data visualization tools
CertificationsSQL certifications, cloud platform credentials (AWS, Azure)Data analysis certifications (CAP, Microsoft Certified Data Analyst)

Senior Sql Data Engineers focus on building and maintaining data pipelines and infrastructure, while Data Analysts interpret data and generate reports. Both roles require SQL expertise but differ in scope and tools used, with engineers handling data architecture and analysts focusing on insights and visualization.

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

$110.10K - $132.20K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 25 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.