Mindlance

Lead Data Engineer/Architect-Java/Python

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Data Engineer/Architect in the Banking/Financial industry, lasting 15+ months, based in Charlotte, NC (hybrid). Requires 5+ years in software and data engineering, proficiency in SQL, Python/Java, ETL tools, and cloud platforms.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
680
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🗓️ - Date
April 1, 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
Charlotte, NC
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🧠 - Skills detailed
#S3 (Amazon Simple Storage Service) #Kafka (Apache Kafka) #Big Data #AWS (Amazon Web Services) #AI (Artificial Intelligence) #Web Services #Spark (Apache Spark) #Hadoop #Data Engineering #Cloud #Microsoft Azure #Data Architecture #GCP (Google Cloud Platform) #Python #Apache Spark #Data Pipeline #"ETL (Extract #Transform #Load)" #NoSQL #Java #SQL (Structured Query Language) #Agile #Automation #Azure
Role description
Please find details for this position below: Client: Banking/Financial Industry Title: Lead Data Engineer - Java/Python / Lead Data Architect - Java/Python Location: Charlotte, NC – Hybrid Roles Duration: 15+ Month (s) Extend or Convert based on performances Job Details: Required Qualifications: • 5+ years of Software Engineering experience • Data Engineering experience • Proficiency in Database, SQL, PLSQL skills. • Experience with Python or Java • Experience with ETL tools and data pipeline frameworks • Experience with Parquet files in S3 buckets • Familiarity with relational and NoSQL database • Familiarity with big data technologies such as Apache Spark, Hadoop, or Kafka • Performance Tuning and Automation: Hands-on experience in performance tuning, including any report automations involved. • Agile Methodology: Experience in working in Agile projects, including participation in Backlog grooming, sprint planning, and Daily stand-up meetings. • Experience with Artificial Intelligence • Experience with cloud platforms such as Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure EEO: Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.