Data Engineer
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Job Location:
Raleigh, WV - USA
Monthly Salary:
Not Disclosed
Posted on:
20 hours ago
Vacancies:
1 Vacancy
Job Summary
We are seeking a highly skilled and detail-oriented Data Engineer to design build and maintain scalable data pipelines and infrastructure in a fully remote environment. The successful candidate will support data-driven decision-making by ensuring the availability reliability security and performance of data systems across the organization.
This position is strictly limited to candidates who currently reside in the United States and are legally authorized to work in the U.S. Applications from individuals residing outside the United States will not be considered.
Key Responsibilities
Design develop and maintain scalable data pipelines and ETL/ELT processes
Build and optimize data warehouses data lakes and data integration frameworks
Ensure data quality integrity security and governance across platforms
Collaborate with data scientists analysts and software engineers to support analytics and reporting needs
Monitor troubleshoot and optimize data infrastructure performance
Implement best practices for data modeling version control and automation
Support real-time and batch data processing solutions
Maintain technical documentation and data architecture standards
Required Qualifications
Bachelors degree in Computer Science Engineering Information Systems or a related field
Minimum of 47 years of experience in data engineering or related roles
Strong proficiency in SQL and at least one programming language (Python Java or Scala)
Experience with data warehousing technologies (e.g. Snowflake Redshift BigQuery)
Hands-on experience with ETL tools and workflow orchestration platforms
Familiarity with cloud platforms such as AWS Azure or Google Cloud
Strong analytical problem-solving and communication skills
Ability to work independently and effectively in a remote environment
Preferred Qualifications
Experience with big data technologies (Spark Kafka Hadoop)
Knowledge of data governance security and compliance best practices
Familiarity with CI/CD pipelines and DevOps practices
Experience supporting machine learning or advanced analytics workloads
Benefits
Comprehensive medical dental and vision insurance
401(k) retirement plan with employer matching
Paid time off sick leave and paid holidays
Life short-term and long-term disability insurance
Professional development certification reimbursement and training support
Flexible remote work arrangements
Employee assistance and wellness programs
Work Authorization & Residency Requirement
Must be legally authorized to work in the United States
Must currently reside within the United States
Applications from candidates residing outside the U.S. will be automatically rejected
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
