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Seasonal Data Engineer Python Jobs in Texas (NOW HIRING)

Senior Software Engineer, Python

Houston, TX · On-site +1

$116K - $156K/yr

By streamlining data integration and enhancing collaboration, we help operators, engineers, and ... Write efficient Python code on structured time series datasets that scales easily across cloud ...

Python PySpark/ Data Engineer Location: Houston, TX H1B Transfer will work, but local candidate will get 1st preference. 6+ years of professional work experience designing and implementing data ...

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

Dallas, TX · On-site

$113K - $136K/yr

Data Engineer Location: Dallas, TX Duration: Long Term project Full Time Position Data Engineer ... Strong SQL and Python proficiency with hands-on experience in medallion/ Lakehouse architectures on ...

Python PySpark/ Data Engineer Location: Plano, TX H1B Transfer will work, but local candidate will get 1st preference. * 6+ years of professional work experience designing and implementing data ...

Data Engineer

Grand Prairie, TX · On-site

$109K - $131K/yr

Strong in SQL and Python proficiency with hands-on experience in medallion/Lakehouse architectures on Databricks, Snowflake, AWS, or Azure. Job Overview: * Data Engineering Skilled in building ...

New

Data Engineer

Grand Prairie, TX · On-site

$109K - $131K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The ideal candidate will have strong hands-on experience with SQL and Python, modern cloud data platforms, and Lakehouse/Medallion architectures. This is a hands-on engineering role focused on ...

Jr Data Engineer

Plano, TX · On-site

$110K - $132K/yr

Jr. Data Engineer We are seeking a Junior Data Engineer with experience in data engineering, Snowflake, and Python. The ideal candidate will understand Data Warehousing concepts and Data Cloud ...

Data Engineer

Grand Prairie, TX · On-site

$109K - $131K/yr

Strong in SQL and Python proficiency with hands-on experience in medallion/Lakehouse architectures on Databricks, Snowflake, AWS, or Azure. Job Overview: * Data Engineering Skilled in building ...

New

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

Plano, TX · On-site

$110K - $132K/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 ...

Python API Engineer

Charlotte, TX · On-site

$106.10 - $176.90/hr

  • Medical

  • Retirement

  • PTO

Job Overview The Senior Software Engineer (Python / AWS) is a key member of the Data Modernization & Integration organization, responsible for building and supporting scalable cloud-native solutions ...

New

Data Engineer

Plano, TX · Hybrid

$109K - $131K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Basic programming experience with Python or Java. * Exposure to Data Bricks, Apache Spark, cloud platforms, or data engineering concepts through coursework, internships, or personal projects ...

Python API Engineer

Austin, TX

  • Medical

  • Retirement

  • PTO

The Senior Software Engineer (Python / AWS) is a key member of the Data Modernization & Integration organization , responsible for building and supporting scalable cloud-native solutions that enable ...

Data Engineer

Plano, TX · On-site

$109K - $131K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Basic programming experience with Python or Java. * Exposure to Data Bricks, Apache Spark, cloud platforms, or data engineering concepts through coursework, internships, or personal projects ...

Data Engineer

Lewisville, TX · On-site

$75K - $93K/yr

This is a fantastic opportunity to level up your career using a modern data stack (Python, dbt ... Experience: 1-3 years in data engineering, analytics engineering, or a data-heavy technical role.

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

Plano, TX · Hybrid

$109K - $131K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Basic programming experience with Python or Java. * Exposure to Data Bricks, Apache Spark, cloud platforms, or data engineering concepts through coursework, internships, or personal projects ...

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:

Senior Software Engineer, Python

ComboCurve, Inc.

Houston, TX • On-site, Remote

$116K - $156K/yr

Full-time

Re-posted 23 days ago


Job description

ComboCurve is a industry leading cloud-based software solution for A&D, reservoir management, and forecasting in the energy sector. Our platform empowers professionals to evaluate assets, optimize workflows, and manage reserves efficiently, all in one integrated environment.
By streamlining data integration and enhancing collaboration, we help operators, engineers, and financial teams make informed decisions faster. Trusted by top energy companies, ComboCurve delivers real-time analytics and exceptional user support, with a world-class customer experience team that responds to inquiries in under 5 minutes.
We're hiring a Senior Software Engineer to join our Economics Team. You'll help design, build and maintain the calculation logic, data flows and infrastructure that power ComboCurve's Economics engine. This role is ideal for someone who loves writing modern Python, caring about architecture and testability, and building new features that make ComboCurve's platform even more powerful.
What You'll Do
  1. Write efficient Python code on structured time series datasets that scales easily across cloud infrastructure.
  1. Own features end-to-end-from scoping and design through implementation, deployment, and monitoring-working as an independent unit alongside our Product Manager.
  1. Engage in software and infrastructure system design discussions, contributing to architectural decisions that shape the ComboCurve platform.
  1. Build and maintain backend services and APIs in Python that are reliable, well-tested, and straightforward to extend.
  1. Model, query, and optimize data in MongoDB-schema design, indexing, and aggregation pipelines-so product features stay fast as data grows.
  1. Deploy and operate containerized services on cloud infrastructure, leveraging GCP components such as Cloud Run, Cloud Functions, and GCS.
  1. Incorporate AI-first development practices-using AI tooling to accelerate delivery, improve code quality, and explore new product capabilities.
  1. Collaborate with engineering peers through code reviews, technical documentation, and shared standards that raise code quality the team.

Requirements
Technical
  1. Python: Production-grade Python 3.13+, type annotations and async/await as the default. No shortcuts on type safety.
  1. API Design: Clean REST or gRPC services with OpenAPI contracts. Knows how to version and evolve APIs without breaking consumers.
  1. Web Frameworks & Serving: Hands-on experience with Flask and/or FastAPI for building production services, and comfortable configuring Gunicorn for WSGI deployment.
  1. Software Architecture Patterns: SOLID principles and clean architecture in practice. Designs decoupled, maintainable services that scale.
  1. Data & Statistical Analysis: Comfortable working with structured datasets in Python using tools like pandas or numpy for basic statistical analysis, exploratory analysis, and deriving actionable insights from data.
  1. Data Processing & Visualization: Able to process medium-to-large datasets efficiently and communicate findings clearly through simple visualizations or reports when needed.
  1. SaaS Delivery: Proven track record taking features to production in cloud-based SaaS products. Comfortable with the full lifecycle from dev to deploy to monitor.
  1. MongoDB: Schema design, indexing, and aggregation pipelines in production. ODM like MongoEngine or native driver, e.g. PyMongo.
  1. Modern Dependency Management: Hands-on with uv or similar for fast package resolution and virtual environment handling.
  1. Testing: Comprehensive pytest suites including fixtures, parameterization, and mocked external services.
  1. Containerization: Docker and Docker Compose for local and production. Knows how to keep images lean.
  1. Code Quality: Enforces standards via tools like ruff and pyright. Treats static analysis as a first-class concern.

Nice to Have
  1. Google Cloud Platform: Deploying and managing services on GCP, specifically Cloud Run, Cloud Functions, and Cloud Storage.
  1. AI Integration: Exposure to LLM APIs or agent frameworks; ability to wire AI capabilities into product features without needing to be an ML specialist.
  1. Domain Knowledge: Experience in the oil and gas industry or a background in Petroleum Engineering; the context matters here and shapes better product decisions.

Workflow & Collaboration
  1. Takes ownership end-to-end, from scoping to shipping to iterating.
  1. Can translate ambiguous product requirements into concrete technical proposals.
  1. Communicates tradeoffs clearly to both engineers and non-technical stakeholders.
  1. Reviews code to raise quality and share context, not just approve.

While this is a fully remote position, there will be an in person New Hire Orientation.