Jobs / Boo***

Data Engineer, Senior

Boo*** · Huntsville, AL, United States
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Huntsville, AL, United States77,500-176,000 USD/yearlyHybrid
Remuneration
77,500-176,000 USD/yearly
Location
Huntsville, AL, United States
Visa sponsorship
Sponsors visa

Job summary

The Opportunity: Ever-expanding technology like IoT, machine learning, and artifi cia l intelligence means that there’s 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’s 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:
  • 5+ years of experience designing data warehouse or data lake, RESTful API models, event processing, or business intelligence for sof tware systems
  • 5+ years of experience building scalable ETL or ELT data pipelines, automating large-scale batch and streaming data workflows, and parsing structured, unstructured, or event-streaming data
  • 5+ years of experience with coding in sof tware programming languages, including SQL, Python, Scala, Spark, or Java
  • Experience performing tuning on data lake architecture to optimize cloud storage and pipeline performance
  • Experience with data management solutions that address aspects of data catalog, data usage, governance policies , and lifecycle management
  • Nice If You Have:
  • 3+ years of experience architecting and designing large-scale enterprise data and analytics systems
  • 3+ years of experience using and developing data systems with AWS and Micro sof t Azure cloud data products such as AWS EMR, AWS Glue, Azure Dataverse, Azure Data Factory, and Power Apps
  • Experience with distributed data or computing

Skills

CommunicationElectronic Health RecordsLeadership

Degrees

AssociateDegree

Industry

AutomotiveEducationEnergyLogisticsManufacturingMediaPublic-sector

Company size

EnterpriseSmb

Security clearance

TS/SCISecretTop secret