Job Title: Senior Python Developer (Data Engineering Focus)- w2

Overview

Hybrid
$30 - $40
Contract - W2
Contract - Independent
Contract - 12 Month(s)
Able to Provide Sponsorship

Skills

Agile
Business Intelligence
Cloud Computing
Cloud Storage
Collaboration
Continuous Delivery
Continuous Integration
Data Engineering
Data Flow
Data Governance
Data Modeling
Data Visualization
ELT
Extract
Transform
Load
FOCUS
Git
Good Clinical Practice
Google Cloud Platform
Microsoft Power BI
Optimization
Orchestration
Performance Tuning
Python
Real-time
SQL
Streaming
Tableau
Workflow
API
Fetch
JSON
Pandas
RESTful
Sales
Scripting

Job Details

Job Title: Senior Python Developer (Data Engineering Focus)

Location: Dallas, TX (Hybrid 2-3 days onsite)
Duration: Long-term Contract
Visa: OPT, , (No CPT)
Experience: 8+ Years
Position Overview
We are seeking a Senior Python Developer with strong expertise in building scalable data pipelines and cloud-based data integrations. The ideal candidate will have hands-on experience with Python programming, data engineering on Google Cloud Platform, and integrating data from multiple sources. This hybrid role requires onsite presence in Dallas, TX.
Key Responsibilities
  • Develop, optimize, and maintain ETL/ELT pipelines using Python and SQL.
  • Implement robust data ingestion and integration processes using APIs and cloud services.
  • Work with Google Cloud Platform services: BigQuery, Pub/Sub, Cloud Storage, Dataflow, Cloud Composer.
  • Collaborate with data scientists, analysts, and product teams to deliver reliable datasets.
  • Participate in Agile ceremonies, code reviews, and CI/CD pipelines.
  • Ensure data governance, security, and monitoring standards are met.
Required Skills & Experience
  • 8+ years of overall experience in Python development with a focus on data pipelines.
  • Hands-on experience in Google Cloud Platform (BigQuery, Pub/Sub, Dataflow, Cloud Storage) 2+ end-to-end projects.
  • Strong expertise in SQL: queries, transformations, performance tuning.
  • Solid understanding of data modeling, workflow orchestration, and pipeline optimization.
  • Experience integrating APIs and cloud-based data sources.
  • Familiarity with Git and CI/CD practices.
Preferred Skills
  • Experience with Airflow / Cloud Composer for workflow orchestration.
  • Exposure to streaming/real-time data pipelines.
  • Knowledge of BI or data visualization tools (Tableau, Power BI, Looker).
Face-to-Face interview required
Hybrid role 2-3 days onsite in Dallas/Irving, TX


Visa:
Location
w2Only/Rate works?:
Linkedin:

should be answered in under 30 minutes If failed unable to process application for submission

Python Data Manipulation

Given a list of dictionaries representing users:

users = [{"name": "Alice", "age": 30}, {"name": "Bob", "age": 25}, {"name": "Charlie", "age": 35}]

SQL/BigQuery Query

In a BigQuery table sales(order_id, customer_id, amount, order_date), write a query to get the total sales per month for 2025, ordered by month.

Google Cloud Platform Dataflow / Pipeline Concept

Explain how you would design a Python Dataflow pipeline to process streaming JSON data from Pub/Sub, transform it, and load it into BigQuery.
  • Keep it high-level but mention steps, modules, and key Python/Google Cloud Platform functions.

    Python Error Debugging


    You have the following code:

    def divide(a, b):

    return a / b

    result = divide(10, 0)
    What happens when this runs, and how would you fix it?

  • API Integration / Data Ingestion


    Describe in Python how you would fetch data from a REST API that returns JSON and load it into a Pandas DataFrame.

  • Workflow / Orchestration

    You have multiple Python scripts that need to run in sequence, and some depend on the output of previous scripts. How would you schedule and orchestrate them on Google Cloud Platform using Airflow or Cloud Composer?
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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