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Software Engineer Data Analyst Jobs in Georgia (NOW HIRING)

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 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 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 ...

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 ...

Job#: 3044413 Data Analyst Location: Remote Role Overview We are seeking a Data Analyst to perform ... A Master's or Doctorate Degree in Statistics, Biostatistics, Engineering, Computer Science ...

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

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

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.

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:

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 ...

Data Engineer - Ag & Trading

Atlanta, GA · On-site

$110K - $132K/yr

... Software Engineer * PROGRAMMING:Proficientwithprogrammingin Python, SQL, or similar languages. Expert-levelproficiencyin SQL for data manipulation and optimization. * DATA & ANALYTICS TOOLS:

Data Engineer - Ag & Trading

Atlanta, GA · On-site

$113K - $136K/yr

... Software Engineer * PROGRAMMING:Proficientwithprogrammingin Python, SQL, or similar languages. Expert-levelproficiencyin SQL for data manipulation and optimization. * DATA & ANALYTICS TOOLS:

Showing results 41-60

Software Engineer Data Analyst information

See Georgia salary details

$37.6K

$109.5K

$149.9K

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

As of Sep 1, 2026, the average yearly pay for software engineer data analyst in Georgia is $109,530.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,700.00 and $116,100.00 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 in Georgia are hiring for Software Engineer Data Analyst jobs?

Cities in Georgia with the most Software Engineer Data Analyst job openings:

Data Engineer

Cargill

Atlanta, GA • On-site

$80K - $120K/yr

Full-time

Re-posted 9 days ago


Cargill rating

7.4

Company rating: 7.4 out of 10

Based on 225 frontline employees who took The Breakroom Quiz

19th of 49 rated food wholesalers


Job description

Cargill is committed to providing food and agricultural solutions to nourish the world in a safe, responsible, and sustainable way. Sitting at the heart of the supply chain, we partner with farmers and customers to source, make and deliver products that are vital for living. 
Our 155,000 team members innovate with purpose, providing customers with life's essentials so businesses can grow, communities prosper, and consumers live well. With over 160 years of experience as a family company, we look ahead while remaining true to our values. We put people first. We reach higher. We do the right thing-today and for generations to come.

Job Purpose and Impact
  • The Professional, Data Engineering job designs, builds and maintains moderately complex data systems that enable data analysis and reporting. With limited supervision, this job collaborates to ensure that large sets of data are efficiently processed and made accessible for decision making.

Key Accountabilities
  • DATA & ANALYTICAL SOLUTIONS: Develops moderately complex data products and solutions using advanced data engineering and cloud based technologies, ensuring they are designed and built to be scalable, sustainable and robust.
  • DATA PIPELINES: Maintains and supports the development of streaming and batch data pipelines that facilitate the seamless ingestion of data from various data sources, transform the data into information and move to data stores like data lake, data warehouse and others.
  • DATA SYSTEMS: Reviews existing data systems and architectures to implement the identified areas for improvement and optimization.
  • DATA INFRASTRUCTURE: Helps prepare data infrastructure to support the efficient storage and retrieval of data.
  • DATA FORMATS: Implements appropriate data formats to improve data usability and accessibility across the organization.
  • STAKEHOLDER MANAGEMENT: Partners with multi-functional data and advanced analytic teams to collect requirements and ensure that data solutions meet the functional and non-functional needs of various partners.
  • DATA FRAMEWORKS: Builds moderately complex prototypes to test new concepts and implements data engineering frameworks and architectures to support the improvement of data processing capabilities and advanced analytics initiatives.
  • AUTOMATED DEPLOYMENT PIPELINES: Implements automated deployment pipelines to support improving efficiency of code deployments with fit for purpose governance.
  • DATA MODELING: Performs moderately complex data modeling aligned with the datastore technology to ensure sustainable performance and accessibility.
Qualifications
  • Minimum requirement of 2 years of relevant work experience. Typically reflects 3 years or more of relevant experience.

Preferred Qualifications 

  • EXPERIENCE: Professional experience as Software Engineer 
  • PROGRAMMING:Proficientwithprogrammingin Python, SQL, or similar languages. Expert-levelproficiencyin SQL for data manipulation and optimization. 
  • DATA & ANALYTICS TOOLS: Snowflake 
  • SOFTWARE: Experience working with SAP or similar enterprise software platforms.
  • DEVOPS: Demonstrated experience in DevOps practices, including code management, CI/CD, and deployment strategies. 

Additional Applicant Information

The expected salary for this position is $80,000 - $120,000. Compensation varies depending on a wide array of factors including but not limited to the specific location, certifications, education, and level of experience. The disclosed range estimate may be adjusted for any applicable geographic differential associated with the location at which the position may be filled. This position is eligible for a discretionary incentive award. The incentive award amount is dependent upon company performance and your personal performance. Minnesota Sick and Safe Leave accruals of one hour for every 30 worked, up to 48 hours per calendar year unless otherwise provided by law. This role is not eligible for employer-sponsored work authorization now or in the future. This includes candidates whose work authorization is tied to a student visa, employer-sponsored visa, visa transfer, immigration petition, or other third-party sponsorship arrangement. By applying, you confirm that you are authorized to work for any employer in the United States indefinitely without requiring sponsorship, transfer, or immigration support from Cargill at any point during employment.

The business will not sponsor applicants for work visa for this position. 

Equal Opportunity Employer, including Disability/Vet.


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About Cargill

Sourced by ZipRecruiter

Cargill was founded in 1865 as a single grain warehouse in Iowa, U.S. Since then, we’ve grown to become a global partner connecting people around the planet. But one thing has remained constant over the years: our purpose of nourishing the world in a safe, responsible and sustainable way. Cargill is committed to conducting business with integrity, operating responsibly, enriching communities and nourishing the world. In the fiscal year 2021, Cargill provided $110.5 million in total charitable contributions in 56 countries to support our communities. Cargill businesses and employee-led groups partner with local civic, nonprofit and non-governmental organizations on programs and projects that improve food security and nutrition; support human rights, equity and inclusion; strengthen farmer livelihoods; and advance our commitments in the areas of land use, water and climate.

Industry

Food and drink manufacturing

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US