Skip to main content
Tallo logoTallo logo
Apply for this opportunity

This job application is on an outside website. Be sure to review the job posting there to verify it's the same.

Apply Offsite

Senior Data Engineer

Job

K&K Global Talent Solutions

Dallas, TX (In Person)

Full-Time

Posted 3 days ago (Updated 15 hours ago) • Actively hiring

Expires 7/14/2026

Review key factors to help you decide if the role fits your goals.
How is this calculated?
Pay Growth
?
out of 5
Not enough data
Not enough info to score pay or growth
Job Security
?
out of 5
Not enough data
Calculating job security score...
Total Score
86
out of 100
Average of individual scores

Were these scores useful?

Skill Insights

Compare your current skills to what this opportunity needs—we'll show you what you already have and what could strengthen your application.

Job Description

Job Title:
Senior Data Engineer Location:
Irving, TX/Onsite Job Description:
As a Data Engineer, you will be responsible for designing, developing, and maintaining data solutions for data generation, collection, and processing in Big Data environment using predominantly PySpark/Python. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across systems using PySpark.
Roles & Responsibilities:
Design, develop, and maintain robust, scalable high-performance Data Pipelines using PySpark. Create data pipelines, ensuring data quality, and implement ETL processes to migrate and deploy data across systems. Migrate Ab Initio ETL Applications into Pyspark based data pipelines Migrate On Prem workloads into Cloud(AWS, Databricks, Snowflake) based on use cases. Collaborate with cross-functional teams to identify and resolve data-related issues. Stay updated with the latest advancements in data engineering and integrate innovative approaches for sustained competitive advantage.
Qualifications:
8+ years of professional experience in Hadoop, PySpark/Python development. Proven expertise in PySpark and experience in handling huge volume of data 3+ working experience in AWS, Databricks/Snowflake, Airflow Familiarity with CI/CD pipelines and version control systems (e.g., Git). Strong debugging and problem-solving skills. Excellent communication and collaboration skills. Good to
Have Skills:
AWS EKS Experience, Dockers and Containers