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Seasonal Data Engineer Python Jobs in Texas (NOW HIRING)

Azure Data Engineer

Dallas, TX ยท On-site

$113K - $136K/yr

Dallas area, TX * Open on c2c or w2 Azure Data Engineer (Python & Azure) We are looking for an Azure Data Engineer with strong Python development and containerization experience to build scalable ...

Data Engineer (Python/Spark)

Austin, TX ยท On-site

$113K - $136K/yr

They are seeking a dynamic Data Engineer to design, build, and maintain reliable and scalable data ... Required : โ€ข 3+ years of hands-on experience in Python. โ€ข 3+ years of hands-on experience in ...

They are seeking a talented Python Data Engineer to enhance their data assets and support analytical capabilities, working closely with traders, analysts, and data scientists. Responsibilities : โ€ข ...

This Role is located in Houston, TX - In office 5x a week We are looking for a talented and motivated Python Data Engineer to help us expand our data assets in support of our analytical capabilities ...

This Role is located in Houston, TX - In office 5x a week We are looking for a talented and motivated Python Data Engineer to help us expand our data assets in support of our analytical capabilities ...

Python Data Engineer

Irving, TX

$48.25 - $66.50/hr

Looking for highly motivated Python Developer with a strong background in Big Data technologies with Retail risk domain experience to join our dynamic engineering team. The ideal candidate will be ...

New

Data Engineer

Dallas, TX ยท On-site

$113K - $136K/yr

Role: Data Engineer Location: Dallas, TX Contract: 6-9+ months. Experience: 10+ years : We are ... Python Java Node.js Shell Scripting DevOps Git CI/CD Terraform Ansible GitOps Practices

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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 (Python + SQL + Snowflake + AWS)

Aivra Health LLC

Dallas, TX โ€ข On-site

$113K - $136K/yr

Other

Posted 12 days ago


Job description

Data Engineer (Python + SQL + Snowflake + AWS)

๐Ÿš€ We''re Hiring: Data Engineer

๐Ÿ“ Location: United States Onsite
๐Ÿ’ผ Employment Type: Full-Time
๐Ÿ•’ Experience: 1-2 Years, s

Job Description

We are looking for a talented Data Engineer to design, develop, and optimize scalable data pipelines and cloud-based data solutions. The ideal candidate should have expertise in Python, SQL, Snowflake, AWS, and ETL processes.

Responsibilities
  • Design and build scalable ETL/ELT pipelines.
  • Develop and optimize data models and workflows.
  • Manage large-scale datasets using Snowflake.
  • Integrate data from multiple sources into cloud platforms.
  • Monitor and improve data pipeline performance.
  • Collaborate with Data Analysts, Data Scientists, and Engineering teams.
  • Ensure data quality, security, and governance.
Required Skills
  • Python
  • SQL
  • Snowflake
  • AWS (S3, Glue, Lambda, Redshift)
  • ETL Pipelines
  • Spark/PySpark
  • Apache Airflow
  • Git
Preferred Skills
  • DBT
  • Kafka
  • Terraform
  • Docker
  • Kubernetes
Qualifications
  • Bachelor''s or Master''s degree in Computer Science, Information Systems, or related field.
  • 3โ€“8 years of Data Engineering experience.
  • Experience working with cloud-based data platforms.
  • Strong analytical and problem-solving skills.

๐Ÿ“ฉ Interested candidates, please share your updated resume.