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Python Data Analyst Jobs in Texas (NOW HIRING)

PySpark/Python Data Engineer

Irving, TX · On-site

$100K - $120K/yr

PySpark/Python Data Engineer Location: Irving, TX Job Type: Full-Time Salary Range: $100,000 - $120 ... Strong SQL skills for data transformation and analysis * Experience working in distributed data ...

... motivated Python Data Engineer to help us expand our data assets in support of our analytical ... This role will have the opportunity to interface directly with our traders, analysts, researchers ...

... motivated Python Data Engineer to help us expand our data assets in support of our analytical ... This role will have the opportunity to interface directly with our traders, analysts, researchers ...

Python Developer/Data Engineer

Spring, TX · On-site

$42.50 - $58.50/hr

Sr. Python Data Engineer - 12 Month Contract - Spring, TX Overview: We are seeking an experienced ... Work with different teams to understand existing analytical workflows and models. * Refactor and ...

OverviewCentral Health's Data Analyst will work alongside a team of other collaborative and engaged ... Responsibilities-Develop and maintain complex SQL and/ or Python queries to retrieve, join, and ...

Overview Central Health's Data Analyst will work alongside a team of other collaborative and ... Responsibilities -Develop and maintain complex SQL and/ or Python queries to retrieve, join, and ...

OverviewCentral Health's Data Analyst will work alongside a team of other collaborative and engaged ... Responsibilities-Develop and maintain complex SQL and/ or Python queries to retrieve, join, and ...

... Python queries to retrieve, join, and summarize data from multiple sources, initially in SQL Server and later within Snowflake. -Develop, validate, and maintain analytical reports, dashboards and ...

Familiarity with Python for data automation and analysis. * Experience with Tableau for data visualization. * Practical data cleaning and validation skills. * Advanced Excel skills, including pivot ...

Company Overview LP Analyst is a leading independent private asset cloud-based analytics and ... Hands-on experience with Python, including writing scripts for data processing or automation

Company Overview LP Analyst is a leading independent private asset cloud-based analytics and ... Hands-on experience with Python, including writing scripts for data processing or automation

Proficiency in Python (Pandas, NumPy, data analysis libraries) * Experience partnering with executive leadership teams * Strong knowledge of data warehousing, ETL/ELT processes, and data governance

The data analyst will analyze, design, create, maintain, update, manage and present Tableau ... Responsibilities: * 10%, Analyze datasets using SQL, Cicada and Python. * 60%, Design, create ...

An International company, located in Plano, TX, is seeking a Data Analyst for a 12+ month contract ... High proficiency and professional experience coding in SQL, Python and/or R (tested during ...

An International company, located in Plano, TX, is seeking a Data Analyst for a 12+ month contract ... High proficiency and professional experience coding in SQL, Python and/or R (tested during ...

Required : • 0-3 years of experience in a data, analytics, or operations role • Hands-on experience with Python, including writing scripts for data processing or automation • Working knowledge ...

You will be skilled in data analysis tools such as Excel or Tableau and have experience in programming languages such as Python or R. You will be responsible for ensuring that data analysis is ...

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Python Data Analyst information

What does a Python Data Analyst do?

A Python Data Analyst leverages the Python programming language to collect, process, and analyze large sets of data. They use tools and libraries like Pandas, NumPy, and Matplotlib to clean data, perform statistical analysis, and create visualizations that help organizations make data-driven decisions. Their role often involves extracting insights from complex datasets, automating data workflows, and communicating findings to stakeholders through reports or dashboards. Python Data Analysts play a crucial part in turning raw data into actionable business intelligence.

How do Python Data Analysts typically collaborate with other departments within an organization?

Python Data Analysts often work closely with teams such as marketing, finance, and product development to provide data-driven insights that inform business decisions. They regularly participate in cross-functional meetings to understand departmental objectives, gather requirements for data analysis, and present their findings in an accessible manner. Effective communication and the ability to translate technical results into actionable recommendations are essential, as analysts often act as a bridge between technical data and non-technical stakeholders.

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

AspectPython Data AnalystData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentBusiness analytics, reporting, data cleaningAdvanced modeling, predictive analytics, research
Industry UsageFinance, marketing, healthcare, retailTech, finance, research, AI development

While both roles require Python and data analysis skills, Data Scientists typically engage in more complex modeling and machine learning, whereas Python Data Analysts focus on data cleaning, visualization, and reporting to support business decisions.

What Does a Python Data Analyst Do?

As a Python data analyst, you use the Python programming language to develop tools for data mining, analysis, and data visualization. You typically develop a script to meet the specific data needs of your client or employer. Then, you test your code and perform debugging duties before deploying it in a live environment. Some data analysts also have algorithm creation responsibilities. In this case, after creating and testing an algorithm, you use Python with your algorithm to interpret data. You also develop reports to show to your clients or employers, and you may code a web app or interface that clients can use to visualize data sets.

Are Python coders still in demand?

Python data analysts are currently in high demand due to the language's versatility in data analysis, machine learning, and automation. Skills in libraries like Pandas, NumPy, and experience with data visualization tools increase employability across various industries.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst. Many professionals successfully transition into data analysis at various ages by acquiring skills in programming languages like Python or SQL, and gaining experience with data visualization tools. Employers value skills and experience over age, and continuous learning can help you stay competitive in the field.

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

To thrive as a Python Data Analyst, you need strong analytical skills, a solid grasp of statistics, and proficiency in Python programming, often supported by a degree in data science, mathematics, or a related field. Familiarity with data analysis libraries like pandas and NumPy, visualization tools such as Matplotlib or Seaborn, and experience with data querying languages like SQL are typically required. Attention to detail, critical thinking, and effective communication help you derive insights and present findings clearly to stakeholders. These skills and qualities are vital for transforming raw data into actionable business intelligence and supporting data-driven decision-making.

Is Python useful for data analysts?

Python is highly useful for data analysts as it offers powerful libraries like Pandas, NumPy, and Matplotlib for data manipulation, analysis, and visualization. It is widely used in the industry for automating tasks, building data pipelines, and performing statistical analysis, making it a valuable skill for the role.

Will AI replace data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, but it is unlikely to fully replace them. Data analysts are needed to interpret complex insights, make strategic decisions, and develop models that require domain expertise and critical thinking. Skills in programming, data visualization, and understanding AI tools remain valuable in this evolving field.
What are the most commonly searched types of Python Data Analyst jobs in Texas? The most popular types of Python Data Analyst jobs in Texas are:
What are popular job titles related to Python Data Analyst jobs in Texas? For Python Data Analyst jobs in Texas, the most frequently searched job titles are:
What cities in Texas are hiring for Python Data Analyst jobs? Cities in Texas with the most Python Data Analyst job openings:
Infographic showing various Python Data Analyst job openings in Texas as of June 2026, with employment types broken down into 2% Internship, 72% Full Time, 6% Part Time, 17% Contract, and 3% Nights. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.
PySpark/Python Data Engineer

PySpark/Python Data Engineer

Diverse Lynx

Irving, TX • On-site

$100K - $120K/yr

Other

Posted 17 days ago


Job description

Job Title: PySpark/Python Data Engineer
Location: Irving, TX
Job Type: Full-Time
Salary Range: $100,000 - $120,000 per year

Job Description
We are seeking an experienced PySpark/Python Data Engineer to design, develop, and optimize scalable data processing solutions. The ideal candidate will have strong hands-on expertise in PySpark, Python, ETL development, and distributed data processing environments. This role involves building high-performance data pipelines, ensuring data quality, and collaborating with cross-functional teams to support enterprise data initiatives.
Must Have Technical/Functional Skills
  • Strong hands-on experience with PySpark (Spark SQL, DataFrame API)
  • Advanced Python programming skills with focus on data processing and performance optimization
  • Expertise in ETL/ELT design patterns and data pipeline architecture
  • Strong SQL skills for data transformation and analysis
  • Experience working in distributed data processing environments
  • Knowledge of data quality, debugging, and performance tuning techniques
Key Skills
PySpark, Spark SQL, DataFrame API, Python, ETL, ELT, SQL, Data Engineering, Data Pipelines, Distributed Computing, AWS, S3, Glue, EMR, Airflow, Snowflake, Git, CI/CD, Data Warehousing
Role Summary
The Data Engineer will be responsible for developing and maintaining scalable ETL/ELT pipelines using PySpark and Python, optimizing data processing workloads, and ensuring reliable delivery of enterprise data solutions in production environments.
Key Responsibilities
  • Design, develop, and maintain ETL/ELT pipelines using PySpark
  • Build optimized and scalable transformations using Spark SQL and DataFrames
  • Develop reusable Python-based data processing components
  • Ensure data quality, integrity, and performance across pipelines
  • Troubleshoot, debug, and optimize PySpark jobs
  • Collaborate with Data Analysts, Architects, and DevOps teams
  • Support CI/CD implementation and deployment workflows
  • Monitor and troubleshoot production data workloads

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.

Diverse Lynx logo

About Diverse Lynx

Sourced by ZipRecruiter

Diverse Lynx, based in Princeton, NJ, US, is a reputable company in the Information Technology sector. The firm, as reflected through its website diverselynx.com, specializes in delivering comprehensive IT solutions. These solutions range from IT consulting to robust digital transformation strategies, IT staffing, and full-time placements services. The company was established in 2008, and it prides itself on providing simplified, efficient technology solutions designed to meet the unique needs of each client.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Princeton, NJ, US

Year founded

2002

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