Overview
Remote
On-site
Job Description
Tekfortune is a fast-growing consulting firm specialized in permanent, contract & project-based staffing services for world s leading organizations in a broad range of industries. In this quickly changing economic landscape, virtual recruiting and remote work are critical for the future of work. To support the active project demands and skills gaps, our staffing experts can help you find the best job for you. Role: Python Engineer (Senior Data Engineer) Location: RemoteAbout the RoleWe are looking for a Senior Data Engineer to design, build, and operate cloud-native data pipelines that ingest, validate, standardize, and enrich healthcare provider data on Google Cloud Platform. You will own config-driven transformation pipelines, batch and event-driven processing on GCP, and implement data quality controls.Key Responsibilities" Design, build, and maintain scalable ETL/ELT pipelines in Python and SQL on GCP (Cloud Storage, Pub/Sub, Cloud Functions, Cloud Run, BigQuery, Cloud SQL for PostgreSQL)." Develop and orchestrate batch workflows with Apache Airflow / Cloud Composer." Build distributed processing jobs with PySpark/Spark on Dataproc for large-volume healthcare datasets." Drive CI/CD and infrastructure-as-code using GitHub ActionsRequired Qualifications" 8+ years of data engineering experience, including 4+ years on Google Cloud Platform." Expert Python (pandas, NumPy, PySpark) and advanced SQL (BigQuery, PostgreSQL)." Hands-on experience with BigQuery, Cloud Storage, Pub/Sub, Cloud Functions/Cloud Run, Cloud SQL, and IAM/service-account security." Production experience with Cloud Composer / Apache Airflow DAG design and operations, Dataproc / Apache Spark for distributed batch processing.Preferred Qualifications" Experience integrating LLM/AI/ML services into data pipelines" Kubernetes (GKE/EKS) and event-driven/serverless architecture experience.GCP Data And AI Automation: Sean described a continuing need for GCP-oriented engineers to automate provider verification and other transactional processes, while also developing interfaces that allow users to review AI-generated results and evidence.Provider Verification: The GCP team evaluates provider information from state websites, including license status, specialty, location, and adverse actions. When providers must be removed from a network because of licensing or disciplinary issues, the process helps prevent inaccurate network records and related regulatory exposure..AI-Assisted Matching: Many state websites have outdated interfaces and limited search capabilities. When an NPI is unavailable, AI helps identify the correct provider from less precise information such as a name, state, and specialty. The processing is primarily transactional data comparison with AI used to automate steps that would otherwise require manual review..Review Applications: Sean said the team is creating quick Streamlit-based interfaces so users can evaluate whether AI outputs are drifting, making correct assumptions, and producing appropriate results. Longer term, Java developers may support more structured front-end or dashboard experiences for daily evidence review.For more information and other jobs available please contact our recruitment team at
careers@tekfortune.com
. To view all the jobs available in the USA and Asia please visit our website at https://www.tekfortune.com/careers/.Automate your job search with Sonara.
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FAQs About Python Engineer (Senior Data Engineer) Jobs at Tekfortune Inc.
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This job at Tekfortune Inc. is located in Minneapolis, MN, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
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