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Senior Python Engineer Jobs in Georgia (NOW HIRING)

... senior technology leadership. Required Qualifications * 12+ years of enterprise software engineering experience with strong modernization ownership. * Advanced, hands-on expertise in Python for ...

Title: Sr. Python Application Developer Location: Atlanta, GA Workplace Type: On-Site We are seeking a highly experienced Senior Python Application Developer to design, develop, and maintain scalable ...

Python Developer (AWS cloud)

Atlanta, GA ยท On-site +1

$48.25 - $66.50/hr

ITTConnect is seeking a Senior Python Developer to work remotely for a client in the US. This is a long term position with a client that is a global leader in consulting, digital transformation ...

Senior Python App Developer

Atlanta, GA ยท On-site

$116K - $157K/yr

They are seeking a Senior Python App Developer to contribute to backend development, focusing on Python and Django, while also engaging in GraphQL API development and database optimization.

Over 6+ years of hands on backend development with Python and Django framework. * GraphQL API development and query optimization. * PostgreSQL database design and optimization. * Redis caching and ...

Senior Python RPA UI Path Developer

Alpharetta, GA ยท On-site

$118K - $159K/yr

Job Summary The Sr. Python RPA UiPath Developer will be responsible for designing, developing, deploying, and supporting enterprise automation solutions using UiPath and Python. This role requires ...

$42.75 - $59/hr

\n \n \n \n \n Our client, an industry leading company, is looking for a talented Python Developer ... senior, there may be the opportunity to progress to Tech Lead. \n \n \n

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Senior Python Engineer information

See Georgia salary details

$46.4K

$119.9K

$164.7K

How much do senior python engineer jobs pay per year?

As of Jul 9, 2026, the average yearly pay for senior python engineer in Georgia is $119,882.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,600.00 and $138,100.00 per year, depending on experience, location, and employer.

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

To thrive as a Senior Python Engineer, you need expert knowledge of Python programming, software architecture, and experience with web frameworks, supported by a degree in computer science or related field. Familiarity with tools like Django, Flask, REST APIs, Docker, and version control systems such as Git is typically required, along with possible certifications in cloud technologies or Python itself. Strong problem-solving abilities, leadership, and effective communication skills help you lead teams and collaborate across departments. These skills ensure robust, scalable software solutions and foster innovation and efficiency within development projects.

What does a Senior Python Engineer do?

A Senior Python Engineer is an experienced software developer who specializes in designing, developing, and maintaining applications using the Python programming language. They often take on leadership roles within development teams, contribute to architectural decisions, and mentor junior engineers. Senior Python Engineers work on complex projects, ensure code quality, and help implement best practices to improve efficiency and reliability. Their work may span back-end development, data engineering, automation, and integrating with other technologies.

What are the common challenges Senior Python Engineers face when leading projects, and how can they effectively address them?

Senior Python Engineers often encounter challenges such as balancing hands-on coding with overseeing project architecture, mentoring junior developers, and ensuring code quality across the team. Effectively addressing these challenges involves strong communication, setting clear coding standards, and fostering a collaborative environment through regular code reviews and knowledge-sharing sessions. Staying updated on best practices and leveraging automation tools for testing and deployment can also help streamline workflows and maintain high-quality deliverables.
What are the most commonly searched types of Python Engineer jobs in Georgia? The most popular types of Python Engineer jobs in Georgia are:
What job categories do people searching Senior Python Engineer jobs in Georgia look for? The top searched job categories for Senior Python Engineer jobs in Georgia are:
What cities in Georgia are hiring for Senior Python Engineer jobs? Cities in Georgia with the most Senior Python Engineer job openings:

Python Engineer with Mainframe, Atlanta GA

Calabitek

Atlanta, GA โ€ข On-site

$48.25 - $66.50/hr

Other

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Senior Python Engineer - Mainframe (DB2/JCL),
Atlanta, GA
Onsite

Senior Python Engineer - Mainframe (DB2/JCL) Design & build Python on z/OS (USS): Develop CLI tools, services, and batch utilities that run natively on z/OS Unix System Services (USS) or orchestrate mainframe jobs from distributed hosts. Batch orchestration: Create and maintain JCL (PROCs, symbolics, condition codes, GDGs) and integrate with enterprise schedulers (e.g., Control-M, CA-7). Implement robust restart/recovery and step-level error handling. DB2 for z/OS engineering: Write and tune SQL; implement stored procedures; design schemas and indexes; use EXPLAIN, RUNSTATS, and utilities (LOAD/UNLOAD/REORG) to hit SLAs. Python DB2 integration: Connect via ibm_db/CLI/ODBC and optimize connection pooling, cursor usage, and transaction boundaries for high-throughput workloads. Data processing pipelines (plus): Build high-volume ETL/ELT flows with Python (e.g., pandas, PyArrow, Dask) and efficient I/O (binary formats, streaming, chunking). Job submission & automation: Submit and monitor jobs via SDSF, z/OSMF REST APIs, or Zowe CLI; parse JES output; automate handoffs and notifications. Reliability & observability: Implement structured logging, metrics, and tracing; integrate with enterprise monitoring (e.g., Splunk, ELK). Testing & CI/CD: Enforce unit/integration tests (pytest), code reviews, linting/type hints (flake8/ruff/mypy), packaging, and CI/CD (e.g., Jenkins, GitLab). Security & compliance: Follow RACF/Top Secret/ACF2 controls, least privilege, and data governance for PII/PCI/SOX environments. Mentorship & documentation: Coach engineers on Python + mainframe best practices; produce clear runbooks and architecture docs. Required qualifications 8+ years professional Python (3.x) building reliable, performant production systems (CLIs, services, or batch). Hands-on Python on the mainframe (must-have): Comfortable with z/OS USS, TSO/ISPF, SDSF, OMVS, dataset concepts (PS/PO, GDGs), code pages/EBCDIC vs ASCII, and file I/O nuances. Mainframe DB2 expertise: Strong DB2 for z/OS (SQL tuning, indexing strategies, access paths, utilities, locking & concurrency). Familiar with SPUFI, DSNTEP2, IBM Data Studio (or equivalents). Deep JCL proficiency: PROCs, symbolic parms, condition codes, dataset allocation, DFSORT/ICETOOL, IDCAMS, and common utilities; experience wiring JCL into enterprise schedulers. Scripting & OS: Shell (sh/bash) on USS; comfort with dataset/file conversions, large file throughput, and job logs. SDLC discipline: Git, trunk-based development, code reviews, tickets/change management (e.g., Jira/ServiceNow). Excellent communicator with the ability to translate between mainframe, data, and app teams. Nice-to-have (strong plus) Data-processing Python: pandas, PyArrow, Dask; memory/perf tuning for large datasets; binary formats (Parquet/Avro). Automation toolchain: Zowe CLI, z/OSMF REST, IBM Z Open Automation Utilities, Ansible for z/OS. Integration: IBM MQ, CICS, Kafka/CDC (e.g., IBM Data Replication), REST/gRPC services bridging z/OS and distributed. Performance engineering: SMF insights, buffer pool tuning (with DBAs), batch window optimization. Refactoring legacy: Translating COBOL/PL/I batch logic to Python where appropriate; creating safe migration paths. Distributed data engines: PySpark/Spark (for off-platform processing), Airflow. Observability & SRE: SLA/SLO design, incident response for nightly/weekly batch cycles. Tools & environment (illustrative) Mainframe: IBM z/OS 2.x, USS, TSO/ISPF, SDSF, RACF/Top Secret/ACF2 Data: DB2 12/13 for z/OS; utilities (REORG/RUNSTATS/LOAD/UNLOAD) Python: 3.x, venv/poetry, ibm_db/ODBC, requests, pandas/PyArrow (as applicable) Automation: Zowe CLI, z/OSMF APIs, Control-M/CA-7, Jenkins/GitLab CI Monitoring: Splunk/ELK, enterprise log aggregation Success metrics Batch SLAs consistently met; reduced average job elapsed time and rerun rates Measurable DB2 query/perf improvements (e.g., CPU, getpages, elapsed time) Increased automation coverage (job submission/monitoring, recovery) High test coverage and low change-failure rate across releases Education & certification BS/MS in CS, EE, or equivalent experience Nice-to-have: IBM Certified Database Admin - DB2 for z/OS; IBM z/OS Associate/Professional; Control-M/CA-7 certifications