Jobs / Boo***
Azure Data Engineer
Boo*** · McLean, VA, United States
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McLean, VA, United States77,600-176,000 USD/yearlyHybrid
Remuneration
77,600-176,000 USD/yearly
Location
McLean, VA, United States
Visa sponsorship
Sponsors visa
Job summary
Azure Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there is more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when it is gathered from disparate sources.
Benefits
As well as paid leave, professional development, tuition assistance, work-life pOur recognition awards program acknowledges employees for exceptional performancIndividuals that do not meet the threshold are only eligible for select offeringWe encourage you to learn more about our totalBy visiting the Resource page on our Careers site and reviewing Our EmployeeOf collaboration, whether it occurs in person or virtually.You may also be required to work from or visit a customer facility.Commitment to Non-Discrimination
Qualifications
- We need an experienced data engineer like you to help our clients find answers in their data to impact important missions from fraud detection to cancer research, to national intelligence.
- You’ll use your experience in analytical exploration and data examination while you manage the assessment, design, building, and maintenance of scalable platforms for your clients.
- You Have:
- Experience building scalable ETL or ELT pipelines for reporting and analytics using Azure Synapse Analytics, Azure Data Factory, or Azure Databricks
- Experience with direct development using Azure services such as Azure Synapse Analytics, Azure Data Factory, Logic Apps, Azure Key Vault, ADLS Gen2, or Azure Databricks
- Experience building and maintaining resilient ingestion pipelines from multiple sources such as REST APIs, Databases, event streams, or SaaS platforms, including Genesys and SalesForce
- Experience with data modeling
- Experience mentoring junior engineers and contribute to data engineering standards and best practices
- Knowledge of monitoring and alerting
- Bachelor's degree
- Nice If You Have:
- Experience with Python, SQ, including T-SQL and Spark SQL, and PySpark
Skills
CommunicationLeadershipSalesforce
Degrees
AssociateBachelorDegree
Industry
EducationManufacturingMediaPublic-sectorSaas
Company size
Smb
Security clearance
Public trust