Lensa is a career site that helps job seekers find great jobs in the US. We are not a staffing firm or agency. Lensa does not hire directly for these jobs, but promotes jobs on LinkedIn on behalf of its direct clients, recruitment ad agencies, and marketing partners. Lensa partners with DirectEmployers to promote this job for Insight Global. Clicking "Apply Now" or "Read more" on Lensa redirects you to the job board/employer site. Any information collected there is subject to their terms and privacy notice.
Job Description
Insight Global is seeking a Data Engineer to join a Fortune 100 Healthcare Technology Organization and work remotely in CST hours. This individual will join a large Data Analytics focused organization, and will be on a team responsible for supporting various key business workstreams. The specific project allocation may vary throughout assignment, but overall goal of this group is related to product monetization. Candidates should be well versed in Python, SQL, Pyspark and GCP with excellent communication skills.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Skills And Requirements
- 4-6 years of experience as a Data Engineer
- Hands-on experience with SQL, Python, Pyspark
- Experience with GCP as primary cloud platform in recent project including in depth knowledge and experience with Big Query, Data Proc, and Airflow
- Understanding of how analytical pipelines are built and experience building end to end analytical pipelines
- Understanding of API development
- Strong communication skills
- GCP Certification
If you have questions about this posting, please contact support@lensa.com