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 1-year contract. Requires 11+ years of IT experience, strong SQL and Python skills, and expertise in AWS services, Kafka, and data pipeline testing. Onsite 3-4 days a week.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
May 7, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
1099 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Dallas, TX
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🧠 - Skills detailed
#S3 (Amazon Simple Storage Service) #Debugging #Redshift #Python #AWS (Amazon Web Services) #Athena #Kafka (Apache Kafka) #Datasets #SQL (Structured Query Language) #Data Bricks #Data Engineering #Automation #"ETL (Extract #Transform #Load)" #Lambda (AWS Lambda) #Data Pipeline
Role description
Title: Data Engineer with Data Bricks
Location: Dallas, TX (need only locals)
Duration: 1 year contract
Mode of Interview: Client round will be Face to Face
Mode of Job: 3-4 days onsite in a week must
Please share your resume at anoop.j@precisiontechcorp.com
Required Qualifications
• 11+ years of Over all IT experience required
• 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.
Title: Data Engineer with Data Bricks
Location: Dallas, TX (need only locals)
Duration: 1 year contract
Mode of Interview: Client round will be Face to Face
Mode of Job: 3-4 days onsite in a week must
Please share your resume at anoop.j@precisiontechcorp.com
Required Qualifications
• 11+ years of Over all IT experience required
• 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.
