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Seasonal Data Engineer Python Jobs in Texas (NOW HIRING)

Data Engineer

Dallas, TX · On-site

$55 - $60/hr

This is an excellent opportunity for someone who enjoys working across analytics engineering, data modeling, SQL development, Python, and emerging AI technologies. The ideal candidate is adaptable ...

Data Engineer

Texas City, TX · On-site

$98K - $117K/yr

Data Engineer We are looking for an experienced Data Engineer with 8+ years of experience in ... Strong experience with Python and SQL. * Hands-on experience with ETL/ELT pipelines and data ...

Data Engineer

Plano, TX · On-site

$110K - $132K/yr

Strong expertise in Python, SQL, ETL/ELT * Advanced experience with AWS / Azure / Google Cloud ... Mentor junior and mid-level data engineers * Support modernization and migration of legacy data ...

Data Engineer

Plano, TX · On-site

$109K - $131K/yr

Write clean, efficient, and production-ready SQL queries and Python code for data transformation ... Proficiency in SQL and Python programming * Practical experience with PySpark and distributed data ...

Data Engineer

Dallas, TX · On-site

$105K - $120K/yr

Roles & Responsibilities We are seeking a highly skilled Data Engineer with strong expertise in Snowflake, dbt, SQL, Python, and AWS to support enterprise data modernization initiatives. The ideal ...

Data Engineer

Trophy Club, TX · On-site

$109K - $132K/yr

Working experience in scripting and automation using Unix, Python in a Data Engineering environment. Extensive experience with Relational Databases like Oracle including being able to implement ...

Data Engineer

Houston, TX · On-site

$105K - $126K/yr

Mandatory Skills: • 5+ years of relevant software/data engineering experience. • Oil and Gas Experience preferred • Python • SQL • Data Modeling • ETL/Data Pipeline Engineering • AI/ML ...

New

Data Engineer

San Antonio, TX · Hybrid

$138K - $185K/yr

Data Engineer Required Qualifications * A current U.S. Government Secret Security Clearance is ... Familiarity with Python, with experience in unit and integration testing. * Experience supporting ...

Associate Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

SQL, Python. * PySpark * Familiarity with CI/CD tools (e.g., Azure DevOps, GitHub). * Data Warehousing Concepts Preferred Skills: · Exposure to Spark and Azure Data Lake. * Experience with Power BI ...

Data Engineer

Irving, TX · On-site

$109K - $132K/yr

Java or Python. * This individual should be from a development background in data engineering. * Experience working with onsite and offshore teams. * Ability to work under minimal supervision ...

Data Engineer

San Antonio, TX · On-site

$103K - $124K/yr

Develop automated workflows using Python, SQL, and modern orchestration tools to improve data quality, accessibility, and reliability * Engineer integrations between operational systems, training ...

GCP Data Engineer

Richardson, TX · On-site

$104K - $124K/yr

GCP Data Engineer Location: Richardson, TX Duration: Long term contract Interview: F2F (Face to ... Automate data workflows and improve efficiency using Python, SQL, and scripting tools. * Stay ...

Data Engineer

Austin, TX · On-site

$150K - $200K/yr

We are looking for a Data Engineer to take significant ownership in building Monte Carlo's cloud ... Python, PySpark, AWS Location Anywhere on the planet (we work remotely) What gets you excited ...

Sr. Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Use cloud-based architecture, containerization and streaming technologies, and Python, .NET, Node, Java and SQL to design, implement and support full life-cycle data engineering projects for current ...

Data Engineer

Plano, TX · On-site

$110K - $132K/yr

They are looking for a passionate Data Engineer to build scalable data platforms and optimize large ... Python code for data transformation, automation, and analytics • Collaborate with cross ...

Data Engineer

San Antonio, TX · On-site

$103K - $124K/yr

... Python, SQL, and modern orchestration tools to improve data quality, accessibility, and reliability • Engineer integrations between operational systems, training systems, human performance ...

Showing results 41-60

Seasonal Data Engineer Python information

What is the difference between Seasonal Data Engineer Python vs Data Analyst?

AspectSeasonal Data Engineer PythonData Analyst
Required CredentialsBachelor's in CS, Data Science, or related; Python proficiency; SQL knowledgeBachelor's in Statistics, Math, or related; Excel, SQL, and data visualization skills
Work EnvironmentProject-based, often in tech or finance sectors, with focus on data pipelinesBusiness-focused, in various industries, analyzing data to inform decisions
Employer & Industry UsageTech companies, finance, retail during seasonal peaksCorporate, marketing, healthcare, and other sectors
Common Search & ComparisonYesYes

Seasonal Data Engineer Python roles focus on building and maintaining data pipelines using Python, especially during peak seasons. Data Analysts interpret data to generate insights and reports. While both roles require data skills, Data Engineers are more technical and infrastructure-oriented, whereas Data Analysts focus on analysis and visualization.

What cities in Texas are hiring for Seasonal Data Engineer Python jobs?

Cities in Texas with the most Seasonal Data Engineer Python job openings:

Data Engineer

Plano, TX • On-site

Texas State Library and Archives Commision
Libraries and Archives • 201 - 500 employees

$109K - $131K/yr

Full-time

Re-posted 22 days ago


Job description

The Enterprise Data Management Services team is looking for a strong, self-motivated Technology Developer to become an integral part of the Data Resiliency program.
Responsibilities include but are not limited to: Developing and enhancing application components for supporting ML/AI models and data ingestion processes, with focus on code resiliency and stability. Interacting & leading a team of developers, and interacting with business partners and develop processes to ensure that ML/AI models are production-ready Developing, enhancing, modifying and/or maintaining applications Working in a fast paced agile environment, under minimal supervision, with guidance from senior team members Participating in analysis on operational issues Participating in peer reviews for designs, code, and other work productsStrong knowledge of Oracle, SQL, RDBMS along with Python, Hadoop, Hive, Spark Experience in developing Hive & DBMS based applications Python programming background (scripting and object-oriented design) Coding experience with "big data" (Spark/PySpark, SQL, Hadoop, ETL development) Experience implementing statistical models in python (Jupyter notebooks, scipy, numpy, pandas, Scikit-learn) Machine learning experience or knowledge
Overview:
Assess requirement and evaluate existing solutions
Build Process to interact with HDFS and Oracle using Python/ PySpark and Oracle PL/ SQL
Create Workflows, jobs and schedule them using Autosys
Works across development teams to contribute to the story refinement and delivery of data requirements through the delivery life cycle
Leverages architecture components in solution development, codes solutions to integrate, clean, transform, and control data as per acceptance criteria
Develops and executes test plans to produce quantitative results, identifies test issues and errors, and triages underlying causes
Drives complex information technology projects to ensure on-time delivery and adheres to team delivery and release processes
Identifies, defines, and documents data engineering requirements, communicating required information for deployment, maintenance, support, and business functionality
Ability to work independently with solid analytical skills
Ability to work with the team; excellent team player with great attitude
Data Resiliency Capabilities
Top 3 skills:
1. Oracle & PL/SQL Knowledge (Expert level)
2. Hadoop ecosystem, Hive Tables
3. Python/PySpark
Preferred Skills:
1. Autosys
2. Agile
Other Required Skills:Strong knowledge of Oracle, SQL, RDBMS along with Python, Hadoop, Hive, Spark Experience in developing Hive & DBMS based applications Python programming background (scripting and object-oriented design) Coding experience with "big data" (Spark/PySpark, SQL, Hadoop, ETL development) Experience implementing statistical models in python (Jupyter notebooks, scipy, numpy, pandas, Scikit-learn) Machine learning experience or knowledge