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Afternoon Data Engineer Python Jobs in Atlanta, GA

Aderant

Principal Data Engineer

Atlanta, GA · On-site

Principal Data Engineer About the Role We are seeking a Principal Data Engineer to lead the design ... Develop reusable Python libraries and frameworks for data processing and transformation * Implement ...

Mediavine

Data Engineer II

Atlanta, GA · On-site +1

$110K - $132K/yr

Our current data engineering toolkit consists of custom Python data pipelines, AWS infrastructure including Kinesis pipelines, Rundeck scheduling converting to Prefect orchestration, dbt for ...

Conflux Systems

Sr. Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

We are seeking a motivated Data Engineer to join our team and support the modernization of our data ... using Python, SQL, and Spark. • Build curated datasets to support Power BI dashboards. • ...

Mediavine

Data Engineer II

Atlanta, GA · Remote

$117K - $140K/yr

Our current data engineering toolkit consists of custom Python data pipelines, AWS infrastructure including Kinesis pipelines, Rundeck scheduling converting to Prefect orchestration, dbt for ...

Capstone Logistics

Sr. Data Engineer

Peachtree Corners, GA · Remote

$108K - $130K/yr

Proficiency in Python (PySpark),SQL. * Cloud Experience: Strong hands-on experience with Microsoft Azure services. * CI/CD: Azure DevOPS * Databricks Expertise: Experience with Delta Lake, Spark SQL ...

Capstone Logistics LLC

Sr. Data Engineer

Peachtree Corners, GA · Remote

$108K - $130K/yr

Proficiency in Python (PySpark), SQL. Cloud Experience: Strong hands-on experience with Microsoft Azure services. CI/CD: Azure DevOPS Databricks Expertise: Experience with Delta Lake, Spark SQL, and ...

LVT Labs Consulting

AWS Data Engineer

Atlanta, GA · On-site

$112K - $134K/yr

Perform data cleansing, data validation etc 3. Hands on ETL developer who is good at python, SQL. AWS services like glue, glue crawlers, lambda, red shift, athena, s3, EC2, IAM, Monitoring and ...

Capstone Logistics LLC

Sr. Data Engineer

Peachtree Corners, GA · Remote

$108K - $130K/yr

Proficiency in Python (PySpark), SQL. Cloud Experience: Strong hands-on experience with Microsoft Azure services. CI/CD: Azure DevOPS Databricks Expertise: Experience with Delta Lake, Spark SQL, and ...

GEI Consultants

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... Proficiency in Python and SQL; experience with PySpark or Spark is strongly preferred. * Experience ...

Dlapiper

Data Engineer

Atlanta, GA

$110K - $132K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Proficiency in SQL and Python. * Data pipeline tooling and cloud data services experience (Azure ...

GEI Consultants

Data Engineer

Atlanta, GA

$90K - $150K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... Proficiency in Python and SQL; experience with PySpark or Spark is strongly preferred. * Experience ...

ACI Infotech

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Minimum 4 years of experience working in IT department with Data & Analytics responsibilities * 2+ years of hands-on programming experience (SQL, Python, Scala, Java, etc.,) * Recent 2+ years of ...

NAVA Software Solutions

Big Data Engineer

Atlanta, GA · On-site

$53.50 - $71/hr

Big Data Engineer Location: Atlanta GA - Hybrid Duration: 12 months The successful candidate must ... Experience with Databricks UI, Managing Databricks Notebooks, Delta Lake with Python, Delta Lake ...

Deloitte

Databricks Data Engineer

Atlanta, GA

$110K - $132K/yr

Design, build, and maintain data pipelines and data engineering solutions using Databricks, Apache Spark, Python, and Structured Query Language (SQL) * Support the modernization of enterprise data ...

Capstone Logistics

Sr. Data Engineer

Peachtree Corners, GA · On-site

$108K - $130K/yr

Proficiency in Python (PySpark), SQL. * Cloud Experience: Strong hands-on experience with Microsoft Azure services. * CI/CD: Azure DevOPS * Databricks Expertise: Experience with Delta Lake, Spark SQL ...

Coca-Cola

Data Engineer

Atlanta, GA

$110K - $132K/yr

Proficiency in Python (or similar) and comfort using Git and code reviews to collaborate ... data is used to make decisions * Enjoy collaborating with analytics, product, and engineering ...

New

Skillify Solutions

Python Engineer

Alpharetta, GA · Remote

Python Engineer Loc: Alpharetta, GA Mode of work: Remote Your key responsibilities ... MsoNormal">Design and develop scalable Python applications for data ingestion using class-based ...

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All JobsAfternoon Data Engineer Python JobsAfternoon Data Engineer Python Jobs in Atlanta, GA

Afternoon Data Engineer Python information

See Atlanta, GA salary details

$22.1K

$134.6K

$194.7K

How much do afternoon data engineer python jobs pay per year?

As of Jun 11, 2026, the average yearly pay for afternoon data engineer python in Atlanta, GA is $134,604.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,300.00 and $158,200.00 per year, depending on experience, location, and employer.

Are Python coders still in demand?

Python coders, including data engineers, are in high demand due to the language's versatility and widespread use in data analysis, machine learning, and automation. Skills in Python, along with knowledge of frameworks like Pandas and tools such as SQL and cloud platforms, enhance employability in various industries.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in Python, cloud platforms, and big data tools can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other benefits.

What is the difference between Afternoon Data Engineer Python vs Data Analyst?

AspectAfternoon Data Engineer PythonData Analyst
Required SkillsPython, SQL, ETL, cloud platforms, data modelingExcel, SQL, data visualization, basic Python
Work EnvironmentData pipelines, backend systems, cloud infrastructureReporting, dashboards, business insights
CertificationsData engineering certifications (e.g., Google Cloud, AWS)Data analysis or business intelligence certifications

Afternoon Data Engineer Python roles focus on building and maintaining data pipelines using Python and related technologies, often in cloud environments. Data Analysts primarily interpret data through visualization and reporting tools. While both roles require SQL and data handling skills, data engineers work more on infrastructure, whereas data analysts focus on insights and presentation.

How much does a Python data engineer make?

A Python data engineer's salary typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Professionals with strong skills in data pipelines, cloud platforms, and relevant tools like SQL and Spark tend to earn higher salaries.

Will AI replace data engineer?

AI is unlikely to fully replace data engineers, as their role involves designing, building, and maintaining data pipelines and infrastructure that require human expertise. Instead, AI tools can augment their work by automating repetitive tasks and enhancing data processing efficiency, but skilled data engineers are essential for managing complex systems and ensuring data quality.
What are the most commonly searched types of Data Engineer Python jobs in Atlanta, GA? The most popular types of Data Engineer Python jobs in Atlanta, GA are:
Afternoon Data Engineer Python jobs near you
Principal Data Engineer

Principal Data Engineer

Aderant

Atlanta, GA • On-site

Full-time

Posted 25 days ago

Job description

Aderant is a global industry leading software company providing comprehensive business management solutions for law firms and other professional services organizations with a mission to help them run a better business. We are motivated by a collective desire to drive the legal industry to the forefront of innovation. With over 2,500 clients around the world, including 95 of the top AmLaw 100 firms, we are changing the outside perception of the legal sphere; where there was once resistance to modernization, we are creating a culture that embraces new ideas and technology.
At Aderant, the "A" is more than just a letter. It is a representation of how we fulfill our foundational purpose, serving our clients. It embodies our core values and reminds us that to achieve success, every day must start with the "A". We bring the "A" to life by fostering a culture of innovation, collaboration, and personal growth. We encourage our diverse teams to bring their whole selves to work - ideas, experience, and passion - to drive our mission forward.
Our people are our strength.
Principal Data Engineer
About the Role
We are seeking a Principal Data Engineer to lead the design, development, and optimization of our cloud-native data platform. You will be responsible for architecting scalable ETL pipelines, mentoring engineers, and driving technical decisions that shape our data infrastructure. This is a hands-on leadership role requiring deep expertise in AWS data services, distributed computing, and modern data lakehouse architectures.
Responsibilities
Technical Leadership
  • Architect and evolve our medallion-based data lakehouse (Bronze/Silver/Gold tiers) on AWS
  • Design and implement data transformation pipelines that scale to handle petabytes of data
  • Establish best practices for data modeling, including dimensional modeling (Fact/Dimension tables) and slowly changing dimensions
  • Define and enforce data quality, governance, and security standards across the platform
  • Lead technical design reviews and provide guidance on complex engineering challenges
Hands-On Engineering
  • Build and maintain production-grade ETL pipelines using AWS Glue, PySpark, and Apache Iceberg
  • Develop reusable Python libraries and frameworks for data processing and transformation
  • Implement data lineage tracking and query optimization strategies
  • Design event-driven data architectures using Step Functions, Lambda, and SQS
  • Optimize Spark jobs for performance, cost efficiency, and reliability
Collaboration & Mentorship
  • Mentor and coach data engineers, fostering a culture of technical excellence
  • Partner with Data Scientists, Analytics Engineers, and Product teams to understand data requirements
  • Collaborate with Platform and DevOps teams on CI/CD, observability, and infrastructure automation
  • Contribute to architectural decisions and technical roadmap planning
Required Qualifications
Experience
  • 8+ years of experience in data engineering, with 3+ years in a senior or lead capacity
  • Proven track record of designing and operating large-scale data platforms in production
  • Experience leading technical projects and mentoring engineers
AWS Data Engineering Expertise
Proficiency with AWS data engineering services including but not limited to:
  • Data Movement & Integration: DMS (Database Migration Service), SQS, Lambda
  • Data Processing: AWS Glue, EMR, Step Functions
  • Data Storage: S3, DynamoDB, Redshift
  • Governance & Observability: DataZone, CloudWatch, CloudTrail
Technical Skills
  • Expert-level proficiency in Python and SQL (Spark SQL, T-SQL, or similar)
  • Deep experience with Apache Spark (PySpark) for distributed data processing
  • Strong knowledge of data lake table formats: Apache Iceberg, Delta Lake, or Apache Hudi
  • Proficiency with dimensional modeling and data warehouse design patterns
  • Experience with infrastructure as code and CI/CD pipelines (GitHub Actions, Terraform, or CloudFormation)
  • Familiarity with data serialization formats (Parquet, Avro, JSON)
Architecture & Design
  • Experience designing medallion architectures or similar tiered data processing patterns
  • Understanding of CDC (Change Data Capture) patterns and event-driven architectures
  • Knowledge of data lineage, cataloging, and metadata management
  • Experience implementing row-level security and data access controls
Preferred Qualifications
  • Experience with observability frameworks such as OpenTelemetry
  • Familiarity with data validation libraries (Pydantic, Great Expectations)
  • Experience with async Python (asyncio, aioboto3) for high-throughput applications
  • Knowledge of Kubernetes and containerized workloads
  • Experience with data mesh or data product architectures
  • Background in legal, financial, or enterprise SaaS domains
Technical Environment
You will work with:
  • Languages: Python, SQL, Spark SQL
  • Compute: AWS Glue 5.0, Lambda, Step Functions
  • Storage: S3, DynamoDB, Redshift Serverless
  • Formats: Apache Iceberg, Parquet, JSON
  • Orchestration: AWS Step Functions, EventBridge
  • CI/CD: GitHub Actions, multi-environment deployments
  • Observability: CloudWatch, OpenTelemetry, custom metrics pipelines

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