Precision Technologies

Senior Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer in Dallas, TX, with a contract length of "unknown" and a pay rate of "unknown." Key skills include 7+ years in QA/Data Quality Engineering, SQL, Python, AWS, and Kafka. Hybrid work model.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
May 28, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Dallas, TX
-
🧠 - Skills detailed
#Lambda (AWS Lambda) #Data Bricks #Debugging #Automation #Scala #Data Engineering #Data Pipeline #Python #Data Ingestion #SQL (Structured Query Language) #AWS (Amazon Web Services) #S3 (Amazon Simple Storage Service) #Kafka (Apache Kafka) #Data Lifecycle #Athena #"ETL (Extract #Transform #Load)" #Data Quality #Datasets #DevOps #Redshift
Role description
Title: Data Engineer Quality Engineer Location: Dallas, TX Mode of interview: In-Person may ask Work model: Couple of days in a week Data Engineer Quality Engineer We are seeking a Data Engineer Quality Engineer to ensure the reliability, accuracy, performance, and scalability of our data platforms and pipelines. This role focuses on validating end to end data ingestion, processing, streaming, and analytics workflows built on AWS, Kafka, SQL, Data Bricks and Python. You will work closely with Data Engineers, Platform Engineers, Analytics teams, and DevOps to embed quality into the data lifecycle - ensuring trusted data, resilient pipelines, and production ready systems. Required Qualifications • 7+ years of experience in QA, SDET, or Data Quality Engineering roles. • Strong hands on experience with SQL for complex data validation and analysis. • Proficiency in Python for test automation and data validation. • Experience testing data pipelines and ETL/ELT workflows. • Hands on experience with Kafka or other streaming platforms. • Solid understanding of AWS data services (S3, Glue, Redshift, Lambda, Athena, etc.). • Experience working with large datasets and distributed systems. • Strong debugging, analytical, and problem solving skills.