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Software Engineer Data Analyst Jobs in Atlanta, GA

Collaborate effectively with Senior Software Engineers, M&A Tax professionals, and Ignition ... Utilize Microsoft Fabric and other cloud-based data technologies to manage, process, and analyze ...

Data Analyst

Atlanta, GA · On-site

$70K - $75K/yr

Mathematics, Applied Mathematics, Statistics, Quantitative Economics, Data Science, Quantitative Finance, Computational Finance, or Finance Engineering * 1+ years industry experience as Data Analyst

I have an opportunity for a " Data Analyst " - (Alpharetta, GA - Onsite ). and I am looking for a ... Has experience building data mappings and data dictionaries for engineering consumption * For soft ...

Data Engineer

Atlanta, GA · On-site

$80K - $120K/yr

DATA & ANALYTICS TOOLS: Snowflake * SOFTWARE: Experience working with SAP or similar enterprise software platforms. * DEVOPS: Demonstrated experience in DevOps practices, including code management ...

I have an opportunity for a " Data Analyst " - (Alpharetta, GA - Onsite ). and I am looking for a ... Has experience building data mappings and data dictionaries for engineering consumption * For soft ...

Data Engineer

Atlanta, GA · On-site

$80K - $120K/yr

DATA & ANALYTICS TOOLS: Snowflake * SOFTWARE: Experience working with SAP or similar enterprise software platforms. * DEVOPS: Demonstrated experience in DevOps practices, including code management ...

DATA & ANALYTICS TOOLS: Snowflake * SOFTWARE: Experience working with SAP or similar enterprise software platforms. * DEVOPS: Demonstrated experience in DevOps practices, including code management ...

Forest Park, GA Contract- 15 Months Client- Southern Company Services Position Overview The Data Analyst II supports TSS Engineering by developing and maintaining data-driven tools, dashboards, and ...

Previous experience with analytics preferred Experience with data visualization tools such as ... Engineering, Computer Science, Information Science, Business/Management, Mathematics/Statistics ...

Experience with SQL Strong programming skills in Python or Java Excellent problem-solving and ... Experience with Neo4j data analysis. Experience with both SQL and graph databases. Strong ...

Advanced Solution Development Data Scientist/Senior Data Engineer (Data+AI / Databricks / SQL ... software, robotics, automation, and data-driven solutions. With expertise spanning WMS, automation ...

New

Data Engineer

Atlanta, GA · On-site

$60 - $68/hr

Top Skills' Details 1- Databricks data modeling w/ Python 2- Azure ETL / Data analysis 3- Spark/Hive/Airflow 5-10 Years Focused on manipulating data in a software engineering capacity. Some of that ...

Data Engineer - Ag & Trading

Atlanta, GA · On-site

$113K - $136K/yr

... Software Engineer * PROGRAMMING: Proficient with programming in Python, SQL, or similar languages. Expert-level proficiency in SQL for data manipulation and optimization. * DATA & ANALYTICS TOOLS:

Data Engineer

Alpharetta, GA · On-site

$111K - $134K/yr

Design, build and maintain large-scale data processing systems, ensuring data is accurate ... Software Engineer or Developer or Analyst or Consultant or related IT positions. Ref: #0645.

Showing results 41-60

Software Engineer Data Analyst information

See Atlanta, GA salary details

$42.8K

$124.7K

$170.7K

How much do software engineer data analyst jobs pay per year?

As of Sep 2, 2026, the average yearly pay for software engineer data analyst in Atlanta, GA is $124,743.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,100.00 and $132,200.00 per year, depending on experience, location, and employer.

What is a software engineer data analyst?

A Software Engineer Data Analyst is a professional who combines software engineering skills with data analysis expertise to extract insights from data and build applications or tools for data processing. They typically design, develop, and maintain software systems that collect, store, and analyze large datasets. Their role often involves writing code to automate data workflows, create dashboards, and perform statistical analyses. These professionals work closely with other engineers, data scientists, and business stakeholders to support data-driven decision making.

How do software engineer data analysts typically collaborate with other teams to deliver data-driven solutions?

Software Engineer Data Analysts work closely with cross-functional teams, including data scientists, product managers, and software developers, to collect requirements and translate business needs into actionable analytics solutions. They often participate in regular meetings to align on project goals, share progress, and troubleshoot data integration challenges. Effective communication is key, as they must explain technical findings to non-technical stakeholders and ensure that the data pipelines and dashboards they develop meet end-user needs. This collaborative environment provides opportunities to broaden technical skills and gain insights into various business functions.

What are the key skills and qualifications needed to thrive as a software engineer data analyst, and why are they important?

To thrive as a Software Engineer Data Analyst, you need strong programming skills (such as Python or Java), a solid understanding of data structures and algorithms, and a background in statistics or computer science. Proficiency in SQL, data visualization tools (like Tableau or Power BI), and experience with big data platforms (such as Hadoop or Spark) are typically required, along with relevant certifications. Analytical thinking, problem-solving ability, and effective communication help you translate complex data into actionable insights. These skills ensure you can extract, analyze, and communicate data-driven solutions that support business objectives.

What is the difference between Software Engineer Data Analyst vs Data Scientist?

AspectSoftware Engineer Data AnalystData Scientist
Required CredentialsBachelor's in CS, Data Analysis, or related; programming skillsBachelor's or higher in CS, Statistics, or related; advanced analytics skills
Work EnvironmentSoftware development teams, data analysis projectsResearch, modeling, predictive analytics teams
Employer & Industry UsageTech companies, finance, healthcareTech firms, research institutions, finance
Common Search & ComparisonOften compared for data roles involving coding and analysisMore focused on predictive modeling and research

The main difference between a Software Engineer Data Analyst and a Data Scientist lies in their focus and skill set. Software Engineers Data Analysts primarily develop data tools and analyze data using programming, while Data Scientists focus on building predictive models and advanced analytics. Both roles require strong technical skills, but Data Scientists typically have more expertise in statistics and machine learning.

What cities near Atlanta, GA are hiring for Software Engineer Data Analyst jobs?

Cities near Atlanta, GA with the most Software Engineer Data Analyst job openings:

Associate, Software Engineer

KPMG

Atlanta, GA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago


Job description

Known for being a great place to work and build a career, KPMG provides audit, tax and advisory services for organizations in today's most important industries. Our growth is driven by delivering real results for our clients. It's also enabled by our culture, which encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities. With qualities like those, it's no wonder we're consistently ranked among the best companies to work for by Fortune Magazine, Consulting Magazine, Seramount, Fair360 and others. If you're as passionate about your future as we are, join our team.
KPMG is currently seeking an Associate, Software Engineer to join our Ignition Tax Product practice.
Responsibilities:
  • Design, develop, and maintain software applications and GenAI-enabled tools that support internal operations and external M&A Tax client engagements
  • Collaborate effectively with Senior Software Engineers, M&A Tax professionals, and Ignition developers to translate business requirements into scalable data and software solutions
  • Utilize Microsoft Fabric and other cloud-based data technologies to manage, process, and analyze complex datasets supporting M&A Tax strategic initiatives
  • Participate in the full software development lifecycle, including writing clean, well-tested code, debugging, and deploying high-quality technical solutions
  • Support the integration of AI models, workflow automation, and advanced analytics into existing tax platforms and everyday workflows
  • Contribute to technical documentation, participate in code reviews, and help continuously improve the team's modern software engineering and agile practices
  • Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment

Qualifications:
  • Minimum one year of recent full-time experience in software engineering, full-stack development, data engineering, or a related technical role
  • Bachelor's degree from an accredited college or university in computer science, engineering, information technology, or an equivalent field is required
  • Strong proficiency in programming languages such as Python, C#, or JavaScript, along with solid experience in database design (SQL/NoSQL) and API development
  • Hands-on experience or strong familiarity with Microsoft Fabric (for example, Data Engineering, Data Factory, Synapse) for end-to-end analytics and integration is highly preferred
  • Experience with cloud infrastructure (Microsoft Azure preferred), containerization, and modern DevOps practices (CI/CD, Git)
  • Strong analytical and problem-solving skills with the ability to communicate technical concepts effectively to both technical team members and non-technical tax professionals

KPMG LLP and its subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work .
Follow this link to obtain salary ranges by city outside of CA:
https://kpmg.com/us/en/how-we-work/pay-transparency.html/?id=6728_9_26
KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.
KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them.
Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.