Job Title: Data Engineer (Intermediate)
Location: Remote (EST or CST only)
Experience Level: Intermediate (4–6 years)
Schedule: 8:00 AM – 5:00 PM CT (Flexible)
Employment Type: Contract
Pay Rate: $68.50/hr W2
About the Role
We are seeking an experienced Data Engineer with strong data architecture and cloud engineering skills to support large-scale data processing, pipeline development, and Snowflake-driven analytics. This is an excellent opportunity for individuals eager to work in a dynamic environment with modern data technologies across AWS, Snowflake, and CI/CD frameworks.
Top Required Skillsets
1. Data Architecture & Modeling
2. Data Pipeline Engineering & Integration
3. Cloud & Data Platform Efficiency
Nice-to-Have Skills
Role Responsibilities
In this role, you will:
• Design and implement scalable distributed data processing and analytical infrastructures.
• Define data storage, backup, recovery, and management solutions for high-performance enterprise environments.
• Develop automated deployment capabilities across distributed platforms.
• Establish structural data standards and ensure compliance across environments.
• Monitor system performance, troubleshoot issues, and implement optimization solutions.
• Lead the development of best practices, standards, and operational processes.
• Ensure data accuracy, availability, and performance across systems.
• Handle enhancement requests, bug fixes, and modifications based on business needs.
What You Need to Succeed
• Strong experience with Hadoop ecosystem technologies (MapReduce, Spark, Hive, Presto, Pig)
• Background in SQL-based databases (Oracle, PostgreSQL, MySQL)
• Python or equivalent programming language proficiency
• Understanding of NoSQL databases (Cassandra, MongoDB)
• Experience building distributed and cloud-native data pipelines
• Knowledge of data warehousing concepts
• Familiarity with API standards and modern data integration practices
• Strong communication, customer service, and problem-solving skills
• Ability to work in a fast-paced, evolving environment
• Agile/Scrum methodology experience
• Comfortable with the physical requirements of a senior data engineering role (extended computer use)
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