BeyondTrust Logo

BeyondTrust

Sr Data Engineer

Reposted 3 Days Ago
Remote
Hiring Remotely in United States
Senior level
Remote
Hiring Remotely in United States
Senior level
As a Senior Data Engineer, you will enhance the data lakehouse, optimize data workloads, perform complex transformations, and develop frameworks to improve delivery velocity, focusing on cybersecurity solutions.
The summary above was generated by AI

BeyondTrust is a place where you can bring your purpose to life through the work that you do, creating a safer world through our cybersecurity SaaS portfolio.

Our culture of flexibility, trust, and continual learning means you will be recognized for your growth, and for the impact you make on our success. You will be surrounded by people who challenge, support, and inspire you to be the best version of yourself.

The Role

As a Data Engineer at BeyondTrust, you will help build and enhance our data lake which currently consumes billions of events each dayYou will leverage state-of-the-art data engineering tools to create cost-effective cloud solutions that enable next-level cybersecurity research. You will enhance and optimize our existing infrastructure and develop new data assets to drive additional business value. 

What You’ll Do

  • Take ownership of data modelling to solve complex identity security problems.
  • Solve complex analytical problems across disparate systems to provide a unified view of security posture in the datalake
  • Optimize data workloads at a software level by improving processing efficiency. 
  • Identify opportunities for engineering process improvement and collaborate with senior resources to execute a plan of action.
  • Use monitoring and observability best practices to ensure optimal pipeline performance.
  • Assist with ML Operations to ensure optimal model efficiency.
  • Leverage CI/CD best practices to effectively develop and release source code. 

What You’ll Bring

  • Strong programming and technology knowledge in cloud data processing. 
  • Spark experience is needed, existing Databricks knowledge is a plus. 
  • Interest and aptitude for cybersecurity; interest in identity security is highly preferred.  
  • Technical understanding of underlying systems and computation minutiae.
  • Experience working with distributed systems and data processing on object stores.
  • Ability to work autonomously 

Technologies You Should Know

  • Required: Data warehousing for analytics use cases
  • Required: Highly proficient in Python (or another object orientated language)
  • Required: Distributed processing framework experience
  • Highly Preferred: Spark
  • Highly Preferred: Realtime processing experience.
  • Ideal: Some experience with graph data stores 

Better Together

Diversity. Inclusion. They’re more than just words for us. They are the guiding values of how we build our teams, cultivate leaders, and create a culture where people feel connected.

We take care of our employees so they can take care of our customers. Customers who come from all walks of life just like us. We hire incredible people from diverse backgrounds because when we are different together, we are stronger together.

About Us

BeyondTrust is the global identity security leader protecting Paths to Privilege™. Our identity-centric approach goes beyond securing privileges and access, empowering organizations with the most effective solution to manage the entire identity attack surface and neutralize threats, whether from external attacks or insiders.

BeyondTrust is leading the charge in transforming identity security to prevent breaches and limit the blast radius of attacks, while creating a superior customer experience and operational efficiencies. We are trusted by 20,000 customers, including 75 of the Fortune 100, and our global ecosystem of partners.

Learn more at www.beyondtrust.com. 


#LI-DN1

Similar Jobs

10 Days Ago
Easy Apply
Remote or Hybrid
Easy Apply
136K-160K Annually
Senior level
136K-160K Annually
Senior level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Design, build, and maintain SparkSQL/PySpark data pipelines in the central data lake to ingest IoT, product, and unstructured data (video/audio). Produce reliable computed tables for analytics, model training, and dashboards; integrate external datasets; ensure high data quality and uptime; and collaborate with Data Science, ML, and cross-functional teams.
Top Skills: AirflowAWSAzureDagsterData LakeDatabricksDelta LakeETLGCPGitGitPrefectPysparkPythonRest ApisSparkSparksqlSQL
Yesterday
In-Office or Remote
120K-160K Annually
Senior level
120K-160K Annually
Senior level
Fintech • Payments • Financial Services
Build, own, and evolve Flinks' data and ML platform: BigQuery/dbt pipelines, Airflow ingestion, Kubeflow/Vertex training, model serving, governance, observability, and cross-team data contracts to support production ML and analytics at scale.
Top Skills: AirflowAzure DevopsBashBigQueryCi/CdCloud ComposerCloud FunctionsDbtDockerFastapiGcp LoggingGoogle Cloud Platform (Gcp)GrafanaKubeflowMlflowProtocol BuffersPub/SubPythonSQLTerraformVertex Ai
2 Days Ago
Remote
130K-150K Annually
Senior level
130K-150K Annually
Senior level
Software
Lead optimization and scaling of Snowflake architecture, build resilient ELT/ETL and MLOps pipelines, implement data observability, automate workflows with AI-assisted tools, and design enterprise semantic models to support analytics and commercial data products.
Top Skills: Aws GlueAws LambdaBi ToolsCursorDatadogDynamic TablesEltFivetranMaterialized ViewsMlopsPythonRbacSnowflakeSnowflake CortexSnowpipeSQLStored ProceduresUipath

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account