Remote Junior Data Engineer
Lensa
Job Overview
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Job Description
Remote Junior Data Engineer at Insight Global
Insight Global is seeking a Remote Junior Data Engineer to join their team and contribute to ongoing operational data workflows for a major healthcare partner. This position is focused on the day-to-day processing and transformation of client data, involving consistent and routine tasks. While most responsibilities are structured, occasional data issues may arise, requiring analytical troubleshooting skills.
The company is committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. Insight Global is an equal opportunity/affirmative action employer that values diversity and ensures consideration for employment regardless of various protected statuses. If assistance or reasonable accommodation is needed due to a disability, requests can be sent to HR@insightglobal.com. For more information on data handling, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Skills and Requirements
- 2+ years of data engineering experience
- Hands-on experience with SQL technologies, including SSIS and SQL Server
- Strong understanding of SQL concepts and best practices
- Demonstrates strong diligence and attention to detail
- Ability to follow instructions accurately and consistently
- Experience working with client data ingestion processes and handling healthcare PHI
Key skills/competency
- Data Engineering
- SQL
- SSIS
- SQL Server
- Data Transformation
- Data Processing
- Healthcare Data
- PHI Handling
- Attention to Detail
- Analytical Troubleshooting
How to Get Hired at Lensa
- Research Insight Global's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume for data engineering: Highlight SQL expertise, SSIS, SQL Server, and experience with healthcare PHI for the Remote Junior Data Engineer role.
- Showcase problem-solving skills: Prepare examples of analytical troubleshooting and meticulous data handling, especially with operational data.
- Demonstrate attention to detail: Emphasize your ability to follow structured processes and ensure data accuracy in your application materials.
- Understand data workflows: Be ready to discuss your experience with client data ingestion and transformation during interviews for this role.
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