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Seasonal Data Engineer Python Jobs in Texas (NOW HIRING)

Data Engineer

Irving, TX · On-site

$100 - $120K/hr

Data Engineer -Pay Range: $100-$120K -Location: Dallas-Fort Worth, TX -Benefits: Medical, Dental ... Any experience in automation (Python), CI/CD, or logistics industry is a plus. Personality-wise we ...

Principal Data Engineer

Houston, TX · On-site

$106K - $127K/yr

Proficient in SQL and programming languages relevant to data engineering (Python, Java, Scala Required * Hands on RDBMS and data warehousing experience (data modeling, analysis, programming, stored ...

Data Engineer

Frisco, TX · On-site

$107K - $128K/yr

Data Engineer - GA UPDATE: 7 positions open!! 5 SUB SPOTS AVAILABLE!!! Location: Dunwoody, GA ... Utilize Databricks with Spark and Python/Scala for data transformation and analytics * Manage ...

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Role - Data Engineer • 2-3 years of hands-on experience in Data Engineering • Strong experience in Python and PySpark/Spark for large-scale data processing • Experience working with Databricks ...

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

This is a hands-on engineering role with a focus on data modeling, transformation, and scalability ... Use Python to build reusable data processing components, automate workflows, and integrate with ...

Data Engineer

Mercedes, TX · On-site

$107K - $129K/yr

Develop and maintain production-grade Python applications and scripts for data transformation, API integrations, and automation * Engineer solutions on Databricks or Snowflake for large-scale data ...

Hadoop Data Engineer responsible for designing, developing, and maintaining large-scale data ... Apache Spark (Scala/Python) * SQL & NoSQL databases * ETL tools (Informatica, Talend, or similar)

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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

$100 - $120K/hr

Other

Medical, Dental, Vision, Retirement

Re-posted 12 days ago


Job description

-Title: Data Engineer

-Pay Range: $100-$120K

-Location: Dallas-Fort Worth, TX

-Benefits: Medical, Dental, Vision, 401(k)

We are looking to bring on a 3-6 year Data Engineer to our growing team. What we will need is someone who brings experience in the Microsoft stack to build/engineer and maintain our data pipelines. Tools needed to optimize this will include SQL, ETL packages, SSIS. and cloud experience (Azure preferred). This person will also need experience in data mapping, data modeling, data warehousing, and setting data quality/governance around the environment. In addition to pipeline work, our Data Engineer will then need to develop/maintain their "actionable dashboards" primarily in Power BI (Fabric, Tableau, Qlik alternatives). Any experience in automation (Python), CI/CD, or logistics industry is a plus.

Personality-wise we need someone who is curious-minded and can critically think. A go-getter who is eager to learn through success or failure.

Top Skills:

-3-6 Years of Data Engineering (data pipeline builds/support, data modeling, data mapping, data warehousing)

-SQL

-ETL/SSIS

-Fabric/Power BI (Tableau or Qlik alternatives)

-Azure

Plus:

-Python

-CI/CD

-Industry knowledge