Associate Data Engineer
Remote United States
- Pay
- Pay not listedSimilar roles state $127K–$190K
- Work setting
Remote — work setting source
Listed location: Remote United States
Read the full posting- Employment
- Not stated
What you’ll work on
Full postingBuild and maintain data pipelines that bring data from disparate systems into the data lake
Contribute to data modelling for identity security use cases
Optimize data workloads to improve processing efficiency
Monitor pipelines and use observability practices to keep performance optimal
Participate in code reviews and improve engineering practices with the team
From the employer’s posting
Develop and maintain data pipelines that bring together complex information from disparate systems
Contribute to data modelling efforts that support identity security use cases
Optimize data workloads at a software level by improving processing efficiency
Use monitoring and observability best practices to ensure optimal pipeline performance
Participate in code reviews and collaborate with team members to improve engineering practices
What you’ll bring
All qualificationsCore experience
- Data warehousing experience for analytics use cases
- Proficient in Python or another object-oriented language
- Distributed processing framework experience
- Spark experience
- Experience with distributed systems and data processing on object stores
Qualification wording
Required: Data warehousing for analytics use cases
Required: Proficient in Python (or another object orientated language)
Required: Distributed processing framework experience
Spark experience is needed
Experience working with distributed systems and data processing on object stores.
Tools in this posting
- Python
- Databricks
Source — Tool mentions in context
- Required: Data warehousing for analytics use cases - Required: Proficient in Python (or another object orientated language) - Required: Distributed processing framework experience
- Programming and technology knowledge in cloud data processing. - Spark experience is needed, existing Databricks knowledge is a plus. - Ability to learn fast and strong desire to develop
About BeyondTrust
BeyondTrust is the global identity security leader protecting Paths to Privilege™.
In the employer’s words · Read in context
Posting record
Report an errorActively hiringFirst seen by us 4 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 24, 2026 · 4 days ago
- Recorded sightings
- 6
- Last seen by us
- Oct 28, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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Job description
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 an Associate Data Engineer at BeyondTrust, you will contribute to building and enhancing our data lake which currently consumes billions of events each day. You will leverage state-of-the-art data engineering tools to help develop cost-effective cloud solutions that enable next-level cybersecurity research. You will maintain and optimize existing infrastructure, build new data assets, and collaborate with experienced engineers to deliver reliable data solutions that drive business value.
What You’ll Do
- Contribute to data modelling efforts that support identity security use cases and analytical requirements.
- Develop and maintain data pipelines that bring together complex information from disparate systems to support security analysis in the datalake
- Optimize data workloads at a software level by improving processing efficiency.
- Work with senior engineers to identify areas for process improvement and help implement solutions.
- 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.
- Participate in code reviews and collaborate with team members to improve engineering practices.
What You’ll Bring
- Programming and technology knowledge in cloud data processing.
- Spark experience is needed, existing Databricks knowledge is a plus.
- Ability to learn fast and strong desire to develop
- Interest in cybersecurity; interest in identity security is preferred.
- Understanding of software engineering principles, data structures, and distributed data processing concepts.
- Experience working with distributed systems and data processing on object stores.
- Ability to work autonomously and collaboratively.
Technologies You Should Know
- Required: Data warehousing for analytics use cases
- Required: 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.
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Remote United States
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