Job Description: Data Engineer
Location: Dallas Texas, USA(Hybrid)
Rate: $55 per hour on C2C
Responsibilities:
- Design and develop scalable data pipelines to ingest, transform, and integrate data from various sources into data lakes or warehouses.
- Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
- Implement data quality checks, monitoring, and optimization processes to ensure data integrity and performance.
- Maintain and optimize existing data infrastructure and architecture.
- Work with cloud platforms (AWS, Azure, GCP) to deploy and manage data solutions.
- Implement best practices in data management, data security, and data governance.
Requirements:
- Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).
- Proven experience as a Data Engineer or in a similar role, ideally within a healthcare or government setting.
- Strong programming skills in languages such as Python, SQL, Scala, or Java.
- Experience with big data technologies such as Hadoop, Spark, Kafka, etc.
- Hands-on experience with cloud-based data platforms (AWS, Azure, GCP).
- Familiarity with data warehousing concepts and techniques (ETL, ELT).
- Ability to work independently and as part of a team in a hybrid work environment.
- Excellent communication skills and ability to collaborate effectively with stakeholders.
Preferred Qualifications:
- Master’s degree in Computer Science, Engineering, or a related field.
- Relevant certifications in data engineering or cloud platforms.
- Experience with healthcare or government data regulations and compliance.