Jobs in Alaska 2026 (Now Hiring) - Smart Auto Apply
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Data Engineer
Posted 1 week ago
Nurse Practitioner/Physician Assistant
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Operator
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Psychiatrist - Alaska
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Director Surgical Services
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Licensed Mental Health Counselor
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Family Medicine Nurse Practitioner Needed For Locum Tenens Coverage Atoutpatient Clinic In Alaska
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Occupational Therapist / Travel / Rehabilitation
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Nurse Practitioner - New Graduate
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Certified Nurse Assistant(Cna)/Patient Care Technician (Pct)/ Caregiver Part Time Sun Thurs Fri And Saturday 7Am To 5Pm
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Clinical Psychologist
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Data Engineer
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Job Description
Job Title: Senior Data Engineer
Location: Richardson, TX (Hybrid 3 days onsite)Duration: Long-term Contract
Job Summary
We are seeking an experienced Senior Data Engineer to design, build, and maintain scalable data pipelines and data architecture. The ideal candidate will have deep expertise in data warehousing, ETL/ELT processes, and cloud-based data platforms, with the ability to handle large-scale structured and unstructured data.
Required Qualifications
- 8+ years of experience with SQL and NoSQL databases
- 6+ years of experience with Python (or similar scripting language)
- 10+ years of experience in data warehousing, including data modeling and architecture
- 10+ years of experience in ETL/ELT development and building high-volume data pipelines (batch & real-time)
- 10+ years of experience with query optimization, data structures, and workload management
- 10+ years of experience building data pipelines in cloud environments
- 4+ years of experience with Big Data technologies (e.g., Spark, Hadoop) and cloud architecture
- 3+ years of experience with reporting and analytics tools (e.g., Tableau, Power BI)
- Hands-on experience with Git, CI/CD pipelines, and DevOps practices
- Strong experience with Unix/Linux, Bash scripting, and shell commands
- Experience working in Agile/Scrum environments
Key Responsibilities
- Design, develop, and maintain scalable data pipelines for large-scale data processing
- Build and optimize data models and data warehouse architectures
- Collaborate with business and analytics teams to improve data accessibility and reporting
- Implement data quality checks, monitoring, and validation frameworks
- Perform data analysis and troubleshooting to resolve data issues
- Develop and maintain unit and integration tests
- Work closely with BI teams, product managers, and stakeholders
- Support data integration, profiling, and wrangling for analytics and AI/ML use cases
- Contribute to technical documentation and engineering best practices
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