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Flexible Python Sql Jobs in Arizona (NOW HIRING)

ETL developer

Chandler, AZ ยท On-site

$52 - $68.25/hr

Hybrid, 3 days, flexible on which days are in the office Duration: 6 months, potential to extend ... Spark SQL, Data Frames, Datasets 3+ Experience on Python or other scripting languages Hands-on ...

Sr. Application Developer

Tempe, AZ ยท On-site

$93K - $128K/yr

... SQL, Oracle, Python, MVC, Azure DevOps -Write high quality code that is robust and easy to maintain. -Have knowledge and experience with web services design and implementation. -Build flexible ...

Be Seen First

Java, python, SQL, Git, Maven, etc. โ€ข Use of various development and testing tools such as ... flexible enough to work on new technologies as well as legacy components โ€ข Excellent ...

... flexible schedule/shift/work area, including weekends, nights, and/or holidays -Are 18 years of age or older PREFERRED QUALIFICATIONS - Experience in advanced SQL, Python, Tableau - Experience in ...

MF Utilities Developer

Phoenix, AZ ยท On-site

$55 - $60/hr

Python * Java * zOS Connect * Javascript * SQL Mainframe: * Utilities and Software: IBM, Broadcom ... We work closely with small to mid-sized organizations to provide flexible, high-quality services ...

$14.75 - $19.75/hr

... ERGs), a flexible working environment, location specific competitive total rewards, wellness ... Exposure to or coursework in programming languages such as Java, JavaScript, SQL, Python, or ...

Posted today

2025 Fall Intern, Clinical Applications

Mesa, AZ ยท On-site

$15 - $19.75/hr

... ERGs), a flexible working environment, location specific competitive total rewards, wellness ... Exposure to or coursework in programming languages such as Java, JavaScript, SQL, Python, or ...

$15 - $19.75/hr

... ERGs), a flexible working environment, location specific competitive total rewards, wellness ... Exposure to or coursework in programming languages such as Java, JavaScript, SQL, Python, or ...

Posted today

$15 - $20/hr

... ERGs), a flexible working environment, location specific competitive total rewards, wellness ... Exposure to or coursework in programming languages such as Java, JavaScript, SQL, Python, or ...

Posted today

Management Analyst 4

Phoenix, AZ ยท On-site

$61K/yr

ADHS promotes alternative work schedules, flexible hours. We have positions that can fit any stage ... Skill in: -Skills to learn R/Python and SQL for scripting, programming in R/Python and SQL. Ability ...

Proficient in SQL, Python, ML modeling, and time-series analytics; hands-on AI-assisted coding ... flexible spending accounts, EAP, paid time off, and company-paid holidays. The specific programs ...

Lead Data Scientist

Prescott, AZ ยท On-site

$144K - $198K/yr

Proficient in SQL, Python, ML modeling, and time-series analytics; hands-on with Claude for AI ... flexible spending accounts, EAP, paid time off, and company-paid holidays. The specific programs ...

Job Page

Phoenix, AZ ยท On-site

$61K/yr

ADHS promotes alternative work schedules, flexible hours. We have positions that can fit any stage ... Skill in: -Skills to learn R/Python and SQL for scripting, programming in R/Python and SQL. Ability ...

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Flexible Python Sql information

What is the difference between Flexible Python Sql vs Data Analyst?

AspectFlexible Python SqlData Analyst
Required SkillsPython, SQL, data manipulationExcel, SQL, data visualization
Work EnvironmentData engineering, backend developmentBusiness insights, reporting
Industry UsageTech, finance, healthcareRetail, marketing, finance

Flexible Python Sql focuses on coding, data extraction, and automation using Python and SQL, often in technical roles. Data Analysts primarily interpret data, create reports, and support decision-making. While both roles require SQL skills, Flexible Python Sql emphasizes programming and data engineering, whereas Data Analysts focus on analysis and visualization.

What are the most commonly searched types of Python Sql jobs in Arizona? The most popular types of Python Sql jobs in Arizona are:
What cities in Arizona are hiring for Flexible Python Sql jobs? Cities in Arizona with the most Flexible Python Sql job openings:
ETL developer

ETL developer

Sagarsoft

Chandler, AZ โ€ข On-site

$52 - $68.25/hr

Other

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


Job description

Locations: - 2600 S Price RD Chandler, AZ - Team sits here ; Secondary: CIC - Charlotte
Schedule: Hybrid, 3 days, flexible on which days are in the office
Duration: 6 months, potential to extend, but not promised

Top Skills:
1. Ab Initio
2. Spark
3. Google Cloud Platform
Role & Team
- Role will be working with the enterprise information warehouse. They are looking for a specialized ETL backend developer to help with additional work they've taken on related to the migration to Google Cloud Platform
- Part of the Data & Insights team, they build data platforms to deliver strategic information and insights to the business
- Role will be analyzing new development requests, designing and developing new ETL processes, testing, and putting them into production
In this role, you will:
Lead moderately complex initiatives within Technology and contribute to large scale data processing framework initiatives related to enterprise strategy deliverables
Build and maintain optimized and highly available data pipelines that facilitate deeper analysis and reporting
Review and analyze moderately complex business, operational or technical challenges that require an in-depth evaluation of variable factors
Oversee the data integration work, including developing a data model, maintaining a data warehouse and analytics environment, and writing scripts for data integration and analysis
Resolve moderately complex issues and lead teams to meet data engineering deliverables while leveraging solid understanding of data information policies, procedures and compliance requirements
Collaborate and consult with colleagues and managers to resolve data engineering issues and achieve strategic goals.
Required Qualifications:
6+ years of Data Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
6+ years of Strong Experience of Ab Initio, Spark Core, Spark SQL, Data Frames, Datasets
3+ Experience on Python or other scripting languages
Hands-on experience with Google Cloud Platform or other cloud platforms (AWS/Azure)
3+ years of data warehouse experience, SQL experience (Teradata, SQL, PL/SQL). Understand and write the complex SQL queries and have in-depth understanding of oracle database
Strong experience with Teradata, Hadoop, Hive, Autosys, Airflow, BigQuery SparkFlow
Good understanding of distributed system and parallel processing, spark architecture in depth
Ability to conduct code reviews with focus on testability and code coverage.
Should have executed end to end projects in data engineering
Should have experience working in an Agile environment using Scrum.
Fluent in communication
Desired Qualifications:
Prior experience of leading the teams and running the major programs is needed.
Good knowledge of non-relational DBMS platforms, (MongoDBj), real-time data streaming via Kafka
Working knowledge in developing end to end ML/AI pipeline in Apache Spark, Sparkling Waters, H2O, experience in working on LLMs. Exposer to Agentic AI frameworks.
Ability to work with Data Engineers in discovering and optimizing bottlenecks in the AI/ML pipeline for real-time or near-real-time applications that consumes large throughput of data
Perform various complex activities related to statistical/machine learning. Provide analytical support for developing, evaluating, implementing, monitoring and executing models across business verticals using emerging technologies including but not limited to Python, Agentic AI frameworks like ADK, Google Cloud Platform vertex AI and NLP.
Proficient in large scala data processing, Hands-on experience with different file formats, very good understanding of Unix command & Shell scripting.
Familiarity with CI/CD pipelines, infrastructure as code and cloud deployment best practices