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Usa Python Jobs in Oklahoma (NOW HIRING)

Senior Data Engineer

Edmond, OK · On-site

$95K - $130K/yr

... with Python, Go, Java, or similar general-purpose languages. • Hands-on experience with data ... Founded in 1996, the company is headquartered in Edmond, USA, with a team of 1001-5000 employees.

Network Architect

Tulsa, OK · On-site

$59 - $79.25/hr

... Python, Ansible, Terraform) Company : Hillcrest Healthcare System consists of seven hospitals in the Oklahoma area. Founded in 2004, the company is headquartered in Tulsa, USA, with a team of 1001 ...

... such as Python, R, or DAX is preferred. * Osage, Native American, and Veteran preference shall ... USA Patriot Act and Privacy Act. COMMUNICATION: * Makes efforts to keep informed of company ...

The Top Workplaces USA award is based entirely on feedback from an employee engagement survey ... Python, Matlab or Expect scripting * Understanding of networking fundamentals (TCP/IP, Ethernet ...

The Top Workplaces USA award is based entirely on feedback from an employee engagement survey ... Python, Matlab or Expect scripting * Understanding of networking fundamentals (TCP/IP, Ethernet ...

Infrastructure Engineer

Edmond, OK · On-site

$97K - $127K/yr

... scripting with Python and PowerShell. • Excellent verbal, written, and interpersonal ... Founded in 1996, the company is headquartered in Edmond, USA, with a team of 1001-5000 employees.

Infrastructure Engineer

Edmond, OK · On-site

$97K - $127K/yr

... Python and PowerShell Company : Life.Church is dedicated to leading people to become fully devoted followers of Christ. Founded in 1996, the company is headquartered in Edmond, USA, with a team of ...

Showing results 41-50

Usa Python information

What are the key skills and qualifications needed to thrive as a Python developer?

To thrive as a Python Developer, you need strong programming skills in Python, understanding of software development principles, and often a degree in computer science or related fields. Familiarity with frameworks like Django or Flask, version control systems such as Git, and experience with databases are typically required. Problem-solving ability, attention to detail, and effective communication are essential soft skills for collaborating with teams and troubleshooting code. These skills and qualifications ensure the delivery of robust, scalable, and maintainable software solutions.

What are some common challenges faced by Python developers working in the USA, and how can they overcome them?

Python developers in the USA often encounter challenges such as keeping up with rapidly evolving technologies, integrating Python with legacy systems, and collaborating across multidisciplinary teams. To overcome these hurdles, it's important to stay updated with industry trends through continuous learning, participate in code reviews, and leverage robust testing practices. Additionally, effective communication and teamwork are vital for integrating solutions and ensuring project success in diverse, agile environments.

What does a Python developer do in the USA?

A Python developer in the USA primarily writes, tests, and maintains code using the Python programming language. They work on a variety of projects, including web development, data analysis, machine learning, automation, and scripting. Python developers often collaborate with other team members to design software solutions, debug applications, and ensure the performance and scalability of their code. Their roles can vary depending on the industry, ranging from building backend web services to analyzing big data or developing artificial intelligence models.

How much do Python programmers make in the US?

Python programmers in the US typically earn an average salary ranging from $70,000 to $120,000 annually, depending on experience, location, and industry. Entry-level roles may start around $60,000, while senior positions with specialized skills or certifications can exceed $130,000. Knowledge of frameworks, data analysis, or machine learning can influence earning potential.

What is the difference between Usa Python vs Usa Data Analyst?

AspectUsa PythonUsa Data Analyst
Required SkillsPython programming, data manipulation, scriptingData visualization, statistical analysis, Excel
Work EnvironmentSoftware development, data engineering teamsBusiness units, reporting teams
CertificationsPython certifications, data science coursesExcel, Tableau, SQL certifications

While both roles involve working with data, Usa Python focuses on coding, automation, and data engineering tasks, whereas Usa Data Analyst emphasizes interpreting data, creating reports, and visualizations. The roles often collaborate but serve different functions within data projects.

What cities in Oklahoma are hiring for Usa Python jobs? Cities in Oklahoma with the most Usa Python job openings:
Infographic showing various Usa Python job openings in Oklahoma as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

Senior Data Engineer

Life.Church

Edmond, OK • On-site

$95K - $130K/yr

Full-time

Re-posted 28 days ago


Job description

Job Summary:
Life.Church is a multi-site Christian church committed to leading people to become fully devoted followers of Christ. The Senior Data Engineer is responsible for shaping, implementing, and maintaining data pipelines and systems that ensure quality and reliable data, collaborating across technical teams to support the mission of the organization.
Responsibilities:
• Deliver Trusted Data: Build and maintain reliable data pipelines that provide accurate, actionable data for analytics, experimentation, and decision-making.
• Own Data Systems: Plan, implement, and operate ingestion, ETL/ELT, and integration workflows with a focus on quality, scalability, and resilience.
• Partner Cross-Functionally: Collaborate with product, platform, analytics, and engineering teams to ensure relevant data is instrumented, collected, and usable.
• Enable ML & LLM Use Cases: Prepare and curate datasets suitable for predictive modeling, experimentation, and LLM-driven applications.
• Support Model Readiness: Design data pipelines and schemas that support training, evaluation, and inference workflows in partnership with ML-focused engineers.
• Advance Data Governance: Contribute to data governance, stewardship, privacy, and security best practices.
• Improve Observability: Build testing, monitoring, and alerting to ensure high data quality and early detection of issues.
• Optimize for Scale: Performance tune pipelines, queries, and storage for efficiency and stewardship.
• Document & Enable: Create clear documentation, diagrams, and data definitions to improve understanding across teams.
• Mentor Others: Lead and support junior and mid-level data engineers through code reviews, pairing, and guidance.
• Own Projects: Take responsibility for end-to-end delivery of data initiatives with minimal direction.
• Grow Continuously: Stay current on data engineering, ML, and LLM-related tools, patterns, and best practices.
Qualifications:
Required:
• 5+ years of data or software engineering experience building production-grade data systems.
• Bachelor’s degree in Computer Science, Data, or a related field (advanced certification a plus).
• Proven ability to design, build, and operate reliable data pipelines.
• Experience mentoring others and contributing to team-level technical direction.
• Strong proficiency writing complex SQL queries and optimizing performance.
• Experience with Python, Go, Java, or similar general-purpose languages.
• Hands-on experience with data warehouse design and modeling (e.g., BigQuery, Postgres, SQL Server, DBT).
• Experience with Airflow, Pub/Sub, Fivetran, streaming platforms, or similar tools.
• Experience building data systems on GCP or comparable cloud environments.
• Experience integrating batch and real-time data sources.
• Experience preparing datasets for predictive, prescriptive, or classification models.
• Understanding of feature engineering concepts and data requirements for ML workflows.
• Familiarity with LLM concepts such as embeddings, prompt inputs/outputs, vector storage, or retrieval-augmented generation (RAG).
• Ability to support data flows for model training, evaluation, and inference (without requiring deep model research).
• Comfortable collaborating with ML engineers, data scientists, or platform teams on ML-enabled features.
• Ability to independently lead complex data projects from concept to production.
• Comfortable navigating ambiguity and solving complex technical challenges.
• Able to communicate clearly with both technical and non-technical partners.
• Strong instincts around testing, monitoring, and data correctness.
• Curiosity and motivation to grow in ML- and LLM-adjacent data engineering practices.
• Desire to use your skills to serve others and advance God’s Kingdom.
Preferred:
• Experience with tools such as GitLab, Jira, Amplitude, Backstage, or Notion is a plus.
• Excitement about building data systems that support insight, learning, and spiritual growth.
Company:
Life.Church is dedicated to leading people to become fully devoted followers of Christ. Founded in 1996, the company is headquartered in Edmond, USA, with a team of 1001-5000 employees. The company is currently Late Stage.