

FUSTIS LLC
Data Engineer- EX Capital One
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr Data Engineer in Plano, Texas, on a 12+ month hybrid contract, offering a competitive pay rate. Candidates require 4+ years in data pipeline systems, Java, Python, SQL, and cloud platforms (AWS, Azure, GCP).
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
400
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🗓️ - Date
July 25, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Plano, TX
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🧠 - Skills detailed
#Java #Batch #Data Pipeline #Data Engineering #GCP (Google Cloud Platform) #Monitoring #Spark (Apache Spark) #Cloud #Azure #Hadoop #Python #Agile #Observability #AWS (Amazon Web Services) #SQL (Structured Query Language) #"ETL (Extract #Transform #Load)" #Data Quality #Kafka (Apache Kafka)
Role description
Job Title – Sr Data Engineer
Job Type – Hybrid
Job Location – Plano, Texas
Duration- 12+ months contract
Job Description: Design, build, and operate large-scale batch and real-time data pipelines that move, transform, and publish data across the enterprise with high reliability and low latency
Collaborate with Agile teams to architect end-to-end data solutions — from ingestion and orchestration through to event streaming and downstream delivery
4+ years of experience building or operating data pipeline and orchestration systems
4+ years of data or application engineering experience, including Java, Python and SQL
4+ years of experience building and operating real-time or event-driven data systems
4+ years of experience with distributed data and computing tools (Kafka, Spark, EMR, Hadoop, or equivalent)
4+ years of experience with cloud data warehousing platforms at scale
4+ years of experience with cloud platforms (AWS, Azure, or GCP)
3+ years of experience with pipeline scheduling and workflow orchestration tools
2+ years of experience with secure secrets management and credential handling in production systems
2+ years of experience working in Agile engineering environments
Familiarity with data observability practices — monitoring, alerting, SLA tracking, and data quality frameworks
Job Title – Sr Data Engineer
Job Type – Hybrid
Job Location – Plano, Texas
Duration- 12+ months contract
Job Description: Design, build, and operate large-scale batch and real-time data pipelines that move, transform, and publish data across the enterprise with high reliability and low latency
Collaborate with Agile teams to architect end-to-end data solutions — from ingestion and orchestration through to event streaming and downstream delivery
4+ years of experience building or operating data pipeline and orchestration systems
4+ years of data or application engineering experience, including Java, Python and SQL
4+ years of experience building and operating real-time or event-driven data systems
4+ years of experience with distributed data and computing tools (Kafka, Spark, EMR, Hadoop, or equivalent)
4+ years of experience with cloud data warehousing platforms at scale
4+ years of experience with cloud platforms (AWS, Azure, or GCP)
3+ years of experience with pipeline scheduling and workflow orchestration tools
2+ years of experience with secure secrets management and credential handling in production systems
2+ years of experience working in Agile engineering environments
Familiarity with data observability practices — monitoring, alerting, SLA tracking, and data quality frameworks






