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Remote Python Automation Engineer Jobs in Washington, DC

NT Concepts

Lead Test Automation Engineer

Vienna, VA · Remote

$46.25 - $61/hr

Vienna, VA with remote flexibility The Senior Test Automation Engineer is responsible for providing technical leadership in the design, architecture, development, and execution of automated testing ...

TIAG

Software Test Automation Engineer

Reston, VA · On-site +1

$48 - $63.25/hr

This position requires US or Naturalized Citizenship to be considered and is 100% remote. The ... JavaScript, Python, or Java). * Proficiency within a shell and experience with environment ...

ASSYST

Senior AI Automation Test Engineer

Sterling, VA · Remote

$45.50 - $60.25/hr

C. (Remote role). This role involves modern test automation engineering with a strong emphasis on AI‑driven quality assurance. At its core, it combines traditional automation expertise with ...

Full Scope

Python Programmer

Columbia, MD · Remote

Python/C++ Programmer Location: Columbia, MD Clearance : Secret Salary: Negotiable We are seeking a ... a remote environment. Responsibilities: * Collaborate with cross-functional teams to design ...

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All JobsRemote Python Automation Engineer JobsRemote Python Automation Engineer Jobs in Washington, DC

Remote Python Automation Engineer information

See Washington, DC salary details

$26.1K

$158.5K

$229.3K

How much do remote python automation engineer jobs pay per year?

As of Jun 19, 2026, the average yearly pay for remote python automation engineer in Washington, DC is $158,531.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,200.00 and $186,300.00 per year, depending on experience, location, and employer.

How does a Remote Python Automation Engineer typically collaborate with cross-functional teams, given the remote work environment?

As a Remote Python Automation Engineer, you'll frequently interact with developers, QA analysts, DevOps teams, and project managers using collaborative tools such as Slack, Jira, and GitHub. Effective communication is crucial for aligning on automation requirements, debugging issues, and deploying solutions. You'll often participate in virtual meetings, code reviews, and sprint planning sessions to ensure your automation scripts integrate seamlessly with broader workflows. Proactive documentation and regular updates help maintain transparency and foster smooth teamwork despite the physical distance.

What is the difference between Remote Python Automation Engineer vs Remote QA Automation Engineer?

AspectRemote Python Automation EngineerRemote QA Automation Engineer
Required CredentialsBachelor's in CS or related, Python proficiency, automation tools knowledgeBachelor's in CS or related, testing frameworks, scripting skills, Python often preferred
Work EnvironmentDevelops automation scripts, collaborates with development teams, uses Python-based toolsDesigns test cases, automates testing processes, uses testing frameworks and scripting
Employer & Industry UsageTech companies, software development, DevOps teamsSoftware companies, QA teams, product testing environments

The main difference is that Remote Python Automation Engineers focus on developing automation solutions using Python to streamline development and deployment processes, while Remote QA Automation Engineers concentrate on automating testing procedures to ensure software quality. Both roles require Python skills but serve different stages of the software lifecycle.

What is a Remote Python Automation Engineer?

A Remote Python Automation Engineer is a software professional who specializes in creating, maintaining, and improving automated processes and workflows using the Python programming language, all while working remotely. Their main responsibilities often include writing scripts to automate repetitive tasks, building test automation frameworks, integrating APIs, and optimizing system operations. They collaborate with teams virtually, making use of tools for version control, communication, and project management. This role requires strong Python skills, familiarity with automation tools like Selenium or PyTest, and the ability to work independently in a remote setting.

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

To thrive as a Remote Python Automation Engineer, you need strong programming skills in Python, expertise in automation frameworks, and a background in computer science or related fields. Familiarity with tools such as Selenium, PyTest, Jenkins, and cloud platforms, along with automation certifications, is often required. Exceptional problem-solving, self-motivation, and effective communication are crucial soft skills for remote collaboration and troubleshooting. These abilities ensure efficient automation solutions, seamless integration with development teams, and successful delivery of high-quality software projects.
What are the most commonly searched types of Python Automation Engineer jobs in Washington, DC? The most popular types of Python Automation Engineer jobs in Washington, DC are:
What are popular job titles related to Remote Python Automation Engineer jobs in Washington, DC? For Remote Python Automation Engineer jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Remote Python Automation Engineer jobs in Washington, DC look for? The top searched job categories for Remote Python Automation Engineer jobs in Washington, DC are:
Remote Python Automation Engineer jobs near you

GENAI Data Automation Developer - Public Trust Clearance Require with Security Clearance

SOC/Day & Zimmermann Federal Services

Washington, DC • Remote

$52.46/hr

Contractor

Posted 8 days ago

Job description

GenAI Data Automation Engineer needed for a contract opportunity with SOC's client to work remotely with quarterly travel to Gaithersburg, MD. Contract Length: 6+ Months, possible conversion to FTE This position is remote, but requires quarterly travel to Gaithersburg, MD. *Must have an active Public Trust clearance to be considered for this role.* Job Description: Our client is seeking a GenAI Data Automation Engineer to design and implement innovative, AI-driven automation solutions across AWS and Azure hybrid environments.

You will be responsible for building intelligent, scalable data pipelines and automations that integrate cloud services, enterprise tools, and Generative AI to support mission-critical analytics, reporting, and customer engagement platforms. Ideal candidate is mission focused, delivery oriented, and applies critical thinking to create innovative functions and solve technical issues. In this role, you will: * Design and maintain data pipelines in AWS using S3, RDS/SQL Server, Glue, Lambda, EMR, DynamoDB, and Step Functions.

* Develop ETL/ELT processes to move data from multiple data systems including DynamoDB ? SQL Server (AWS) and between AWS ? Azure SQL systems.

* Integrate AWS Connect, Nice inContact CRM data into the enterprise data pipeline for analytics and operational reporting. * Engineer, enhance ingestion pipelines with Apache Spark, Flume, Kafka for real-time and batch processing into Apache Solr, AWS Open Search platforms. * Leverage Generative AI services and Frameworks (AWS Bedrock, Amazon Q, Azure OpenAI, Hugging Face, LangChain) to: * Create automated processes for vector generation and embedding from unstructured data to support Generative AI models.

* Automate data quality checks, metadata tagging, and lineage tracking. * Enhance ingestion/ETL with LLM-assisted transformation and anomaly detection. * Build conversational BI interfaces that allow natural language access to Solr and SQL data.

* Develop AI-powered copilots for pipeline monitoring and automated troubleshooting. * Implement SQL Server stored procedures, indexing, query optimization, profiling, and execution plan tuning to maximize performance. * Apply CI/CD best practices using GitHub, Jenkins, or Azure DevOps for both data pipelines and GenAI model integration.

* Ensure security and compliance through IAM, KMS encryption, VPC isolation, RBAC, and firewalls. * Support Agile DevOps processes with sprint-based delivery of pipeline and AI-enabled features. Required Qualifications: * BS in Computer Science or related field with 2+ years of data engineering, automation experiences.

* Hands-on experience with LLM, Generative AI frameworks using AWS Bedrock, Azure OpenAI or open source platform. * Hands-on experience with SQL, SSIS, Python, Spark, Bash, Power shell, AWS/Azure CLIs. * Experience with AWS services like S3, RDS/SQL Server, Glue, Lambda, EMR, DynamoDB.

* Familiarity with Apache Flume, Kafka, Solr for large-scale data ingestion and search. * Experience with integrating REST API calls in data pipelines and workflows. * Familiarity with JIRA, GitHub / Azure DevOps / Jenkins for SDLC and CI/CD automation.

* Strong troubleshooting and performance optimization skills in SQL, Spark or other data engineering solutions. * Experience operationalizing Generative AI (GenAI Ops) pipelines, including model deployment, monitoring, retraining, and lifecycle management for LLMs and AI-enabled data workflows. * Good communication and presentation skills.

* US Citizenship and ability to obtain Public Trust clearance Employment Prerequisites The following requirements must be met to be eligible for this position: successful completion of a background investigation and drug urinalysis. SOC, a Day & Zimmermann company, is an Equal Opportunity Employer,EOE AA M/F/Vet/Disability. Note: Any pay ranges displayed are estimations, which may have been provided by job boards.

Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply. #INDSOC Estimated Min Rate: $36.72 Estimated Max Rate: $52.46

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