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General Dynamics Information Technology
General Dynamics Information Technology
H1B vīzas sponsorsKonsultācijasLoģistikaVeselības aprūpe
General Dynamics Information Technology (GDIT) sniedz konsultāciju, digitālās modernizācijas un lietojumprogrammu pakalpojumus valdības un aizsardzības organizācijām. Uzņēmuma darbība aptver mākslīgo intelektu, mākoņdatošanu, kiberdrošību, augstas veiktspējas skaitļošanu un kvantu tehnoloģijas, kā arī kritiski svarīgas programmas loģistikas un piegādes ķēžu pārvaldības, izlūkošanas un iekšējās drošības jomā. Uzņēmums darbojas arī konsultāciju, veselības aprūpes un loģistikas nozarē, bet personāla piesaistē uzsver daudzveidīgas komandas un darbinieku labbūtību. GDIT amati var būt piemēroti speciālistiem, kurus interesē jauno tehnoloģiju izmantošana sarežģītu publiskā sektora un valsts drošības izaicinājumu risināšanā.
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Vakances uzņēmumā

Senior Azure Cloud Data Engineer

Modernize Indian Health Service clinical records by building Azure data pipelines and scalable healthcare data models. Develop ETL workflows and PySpark transformations for enterprise health data.

USAmerikas Savienotās Valstis
85 093 $ – 115 000 $ / gads
AttālinātiPilna slodzeVidējais līmenisVecākais speciālistsNepieciešamā Valoda: angļuMākoņinženieris
.NETAzureETLMākonisPySparkPythonSparkSQLTerraform

Apraksts

  • Modernize Indian Health Service health records by creating a central repository for clinical data and longitudinal patient records.
  • Build Azure data pipelines that consolidate clinical information from more than 200 healthcare facilities.
  • Automate ETL workflows for high-volume JSON and HL7 FHIR data with Azure Data Factory and Azure Data Lake.
  • Develop and optimize PySpark processes to transform and enrich large healthcare datasets.
  • Create and maintain enterprise data models that standardize clinical information across facilities and sources.
  • Set up monitoring and alerts for data quality, reliability, and pipeline performance.
  • Work with architects, data engineers, and stakeholders to shape cloud data architecture and integration patterns.
  • Guide teams on Azure cloud and data engineering practices.
  • Contribute to the Indian Health Service Four Directions Data Warehouse modernization project.

Prasības

  • Relevant technical training, certifications, or a degree plus at least three years of relevant experience, or an equivalent combination of education and experience.
  • At least three years of related experience.
  • Ability to lead big data engineering work on database migrations and Azure data pipeline initiatives.
  • Extensive experience with Azure Data Lake Storage Gen2, Azure Synapse Analytics, Azure Data Factory, Azure Monitor, and Spark clusters.
  • Proficiency in SQL and data modeling for enterprise databases and analytics environments.
  • Strong Python skills, including PySpark, and experience with .NET.
  • Experience building infrastructure as code with Bicep, ARM templates, or Terraform.
  • Experience developing RESTful APIs in Azure.
  • Demonstrated experience implementing CI/CD pipelines and DevOps practices for data solutions.
  • Ability to obtain Public Trust Level 5 clearance.
  • Must have lived in the United States for at least three of the past five years to be eligible for clearance.
  • U.S. citizenship is not required.
  • Work visa sponsorship is unavailable.
  • A master's degree in computer science, information systems, or a related field is preferred.
  • Relevant Azure certifications are preferred.
  • Experience with healthcare data systems, clinical workflows, HL7 FHIR, Power BI, Agile methods, and technical leadership or mentoring is preferred.

Priekšrocības

  • 401(k) plan with company match.
  • Customizable health coverage, with medical, dental, and vision plan options.
  • Health Savings Account options.
  • Flexible work weeks where available.
  • Paid vacation, sick, personal, holiday, parental, military, bereavement, and jury duty leave.
  • Typically 15 days of paid leave per calendar year.
  • 10 paid holidays each year.
  • Up to 160 hours of paid family leave in a rolling 12-month period for eligible employees.
  • Short- and long-term disability coverage.
  • Life insurance.
  • Accidental death and dismemberment insurance.
  • Personal accident insurance.
  • Critical illness insurance.
  • Business travel and accident insurance.
  • An internal mobility team to help employees shape their careers.
  • Collaborative teams and career development opportunities.

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