Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Data Engineer
Birmingham, AL, United States
Actively hiring, first seen by us 1 day ago- Pay
- Pay not listedSimilar roles state $127K–$190K
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingDesign and develop batch and real-time methods for structured and unstructured data
Develop release pipelines to automate build, version control, and deployment
Build and maintain reusable templates, code libraries, and semantic models
Define and enforce data quality and integrity controls
Integrate data from multiple systems, databases, APIs, and business applications
From the employer’s posting
Design and develop methods to process structured, semi-structured, and unstructured data using batch and real-time techniques
Develop release pipelines to automate build, version control, and deployment tasks
Build and maintain reusable templates, code libraries, and semantic models
Define and enforce data quality and integrity controls
Integrate data from multiple systems, databases, APIs, and business applications.
What you’ll bring
All qualificationsCore experience
- Proficiency in data modeling, access, storage, and quality tools
- Hands-on expertise with Databricks, SQL, Python, and Apache Spark.
- Familiarity with Agile, DevOps, CI/CD methodologies
- Proficiency in data modeling for analytics and machine learning.
- Strong communication and collaboration skills
- Ability to lead and mentor others
Qualification wording
Proficiency in data modeling, access, storage, and quality tools
Hands-on expertise with Databricks, SQL, Python, and Apache Spark.
Familiarity with Agile, DevOps, CI/CD methodologies
Proficiency in data modeling for analytics and machine learning.
Strong communication and collaboration skills
Ability to lead and mentor others
Education & alternatives
Experience and Knowledge: - Bachelor’s degree in Computer Science, Engineering, Machine Learning, or related field - 9+ years of experience in data engineering or related roles
Posting record
Report an errorActively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 2, 20261 day ago
- Recorded sightings
- 3
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 1
Early. Similar jobs usually come down between day 5 and day 54.
From 10,704 similar postings that came down. Coming down is not always a hire.
Southern Company is hiring
4 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring is picking up
- Takes jobs down quickly
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- Azure
- Databricks
- Docker
- Hadoop
- Hive
- Oracle
- Power BI
- Spark
- SQL Server
Where the posting names them
- Experience with big data technologies (e.g., Hadoop, HIVE, Spark) - Experience with AI/ML solutions in Python - 4+ years with on-prem tools (e.g., MSBI, Informatica, Oracle Golden Gate, SQL Server)
- Proactive in sharing knowledge and best practices - Hands-on expertise with Databricks, SQL, Python, and Apache Spark. - Proficiency in data modeling for analytics and machine learning.
- Experience with AI/ML solutions in Python - 4+ years with on-prem tools (e.g., MSBI, Informatica, Oracle Golden Gate, SQL Server) - 2+ years with Microsoft Azure tools (e.g., Data Lake, Data Factory, Databricks, Synapse, Power BI)
The Electric Operations Technology Solutions (EOTS) Data Engineer is responsible for building, operationalizing, and maintaining data pipelines to support data, analytics, and AI use cases across hybrid and multi-cloud environments. The role involves translating data into consumable formats, supporting various data integration styles (e.g., virtualization, replication, streaming), and ensuring data reliability and scalability. The data engineer will lead standardization of data curation, data taxonomy and solution delivery across the Electric Operations Technology Solutions Organization for the Databricks and Azure environments. The position is on the Electric Operations Technology Solutions Leadership Team engaging in strategic delivery of business solutions supporting multiple business areas within Southern Company. Onsite 4 days per week/ 1 day per week remote
- 4+ years with on-prem tools (e.g., MSBI, Informatica, Oracle Golden Gate, SQL Server) - 2+ years with Microsoft Azure tools (e.g., Data Lake, Data Factory, Databricks, Synapse, Power BI) - Experience with containerization (e.g., Docker, OpenShift)
- Stay current with data technologies and share insights across the organization - Standardize, design, and develop Databricks applications, data integrations and automated business processes. - Integrate data from multiple systems, databases, APIs, and business applications.
- 2+ years with Microsoft Azure tools (e.g., Data Lake, Data Factory, Databricks, Synapse, Power BI) - Experience with containerization (e.g., Docker, OpenShift) Skills:
- Experience with batch and real-time data processing frameworks - Experience with big data technologies (e.g., Hadoop, HIVE, Spark) - Experience with AI/ML solutions in Python
Your next step
Complete your application on emje.fa.us6.oraclecloud.com. The employer’s form will show what is required.
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- Each employer sets which files it accepts, so read the note beside the upload field.
Already applied? Track this application
Job description
DATA ENGINEER
Locations: Atlanta, GA (30 Ivan Allen) OR Birmingham, AL (The Energy Center)
Onsite 4 says/week and one day remote
JOB SUMMARY:
The Electric Operations Technology Solutions (EOTS) Data Engineer is responsible for building, operationalizing, and maintaining data pipelines to support data, analytics, and AI use cases across hybrid and multi-cloud environments. The role involves translating data into consumable formats, supporting various data integration styles (e.g., virtualization, replication, streaming), and ensuring data reliability and scalability.
The data engineer will lead standardization of data curation, data taxonomy and solution delivery across the Electric Operations Technology Solutions Organization for the Databricks and Azure environments. The position is on the Electric Operations Technology Solutions Leadership Team engaging in strategic delivery of business solutions supporting multiple business areas within Southern Company.
Onsite 4 days per week/ 1 day per week remote
JOB REQUIREMENTS: (Education, Experience, Knowledge, Skills)
Experience and Knowledge:
Bachelor’s degree in Computer Science, Engineering, Machine Learning, or related field
9+ years of experience in data engineering or related roles
Experience with batch and real-time data processing frameworks
Experience with big data technologies (e.g., Hadoop, HIVE, Spark)
Experience with AI/ML solutions in Python
4+ years with on-prem tools (e.g., MSBI, Informatica, Oracle Golden Gate, SQL Server)
2+ years with Microsoft Azure tools (e.g., Data Lake, Data Factory, Databricks, Synapse, Power BI)
Experience with containerization (e.g., Docker, OpenShift)
Skills:
- Proficiency in data modeling, access, storage, and quality tools
- Familiarity with Agile, DevOps, CI/CD methodologies
- Strong communication and collaboration skills
- Ability to lead and mentor others
- Familiarity with performance optimization and data governance
Proactive in sharing knowledge and best practices
Hands-on expertise with Databricks, SQL, Python, and Apache Spark.
Proficiency in data modeling for analytics and machine learning.
MAJOR JOB RESPONSIBILITIES: Specify major duties performed by the job and % of time spent on duties.
Design and develop methods to process structured, semi-structured, and unstructured data using batch and real-time techniques
- Develop release pipelines to automate build, version control, and deployment tasks
- Build and maintain reusable templates, code libraries, and semantic models
- Establish gatekeeping and guard rail processes for production data promotion
- Collaborate with cross-functional teams including data, business, and technical stakeholders
- Promote data reusability and modular data product delivery
- Define and enforce data quality and integrity controls
- Provide technical guidance to less experienced data engineers
- Optimize performance using parallel processing and minimal data movement
- Stay current with data technologies and share insights across the organization
Standardize, design, and develop Databricks applications, data integrations and automated business processes.
Integrate data from multiple systems, databases, APIs, and business applications.
Provide technical guidance, knowledge sharing, and support for business users and fellow data engineers.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Birmingham, AL, United States
Locations: Atlanta, GA (30 Ivan Allen) OR Birmingham, AL (The Energy Center) Onsite 4 says/week and one day remote JOB SUMMARY: The Electric Operations Technology Solutions (EOTS) Data Engineer is responsible for building, operationalizing, and maintaining data pipelines to support data, analytics, and AI use cases across hybrid and multi-cloud environments. The role involves translating data into consumable formats, supporting various data integration styles (e.g., virtualization, replication, streaming), and ensuring data reliability and scalability. The data engineer will lead standardization of data curation, data taxonomy and solution delivery across the Electric Operations Technology Solutions Organization for the Databricks and Azure environments. The position is on the Electric Operations Technology Solutions Leadership Team engaging in strategic delivery of business solutions supporting multiple business areas within Southern Company. Onsite 4 days per week/ 1 day per week remote JOB REQUIREMENTS: (Education, Experience, Knowledge, Skills)
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.