Software Engineer (Platform/Backend) - UEM Reporting Pipeline

Posted 9 Hours Ago
Hiring Remotely in Atlanta, GA, USA
In-Office or Remote
121K-180K Annually
Senior level
Artificial Intelligence • Information Technology • Software
The Role
Design, build, and operate reliable UEM reporting pipelines supporting data ingestion, transformation, analytical storage, and reporting. Develop batch and streaming systems, optimize schemas and queries, troubleshoot performance and reliability issues, and implement observability and data validation. Collaborate across engineering, product, and security teams while owning features through deployment and production support.
Summary Generated by Built In

Job Description:

We are Omnissa.

Omnissa is the first AI-driven digital work platform, built to support flexible, secure, work-from anywhere experiences. We integrate industry-leading solutions—including Unified Endpoint Management, Virtual Apps and Desktops, Digital Employee Experience, and Security & Compliance—into a seamless, autonomous workspace that adapts to how people work. Our platform boosts employee engagement while optimizing IT operations, security, and cost.


Guided by our core values—Act in Alignment, Build Trust, Foster Inclusiveness, Drive Efficiency, and Maximize Customer Value—we're growing rapidly and committed to delivering meaningful impact. If you're passionate about shaping the future of work, we'd love to hear from you.


What is the opportunity?

You have an analytical mind, a passion for software engineering, and an interest in building reliable data platforms. You enjoy solving problems involving data ingestion, distributed processing, analytical databases, and query performance.As a Software Engineer, you will help design, build, and operate the reporting pipeline for Workspace ONE Unified Endpoint Management (UEM). Your work will enable scalable, reliable reporting by transforming operational data into accessible, query-efficient datasets. The role emphasizes transferable data engineering and distributed systems skills rather than expertise in a single vendor or database. Relevant technologies may include ClickHouse, StarRocks, or other columnar analytical databases, alongside relational databases, streaming platforms, and backend services. Here's a breakdown:

  • Design, build, and maintain reliable, reusable, and testable services for data ingestion, transformation, storage, and reporting.
  • Develop and improve batch and streaming pipelines, with attention to data correctness, freshness, scalability, and recovery.
  • Design analytical data models and optimize schemas, queries, partitioning, and aggregation strategies for reporting workloads.
  • Identify and troubleshoot performance and reliability issues across application, ingestion, database, and query layers.
  • Build observability, automated validation, and operational tooling to detect pipeline failures and data quality issues.
  • Collaborate with Engineering, Product Management, Security, and other stakeholders to translate reporting requirements into maintainable solutions.
  • Own features throughout the development lifecycle, including design, implementation, testing, deployment, and production support.
  • Participate in code and design reviews and promote engineering excellence through clear documentation and continuous improvement.

What will you bring to Omnissa?

You are expected to have strong experience in the following:

  • 5+ years of software engineering experience, with relevant experience in backend services, data platforms, reporting systems, or distributed systems.
  • Strong programming skills in one or more backend languages, such as C#, Java, Go, or Python.
  • Strong SQL skills and experience with data modeling, query optimization, and database performance troubleshooting.
  • Hands-on experience with columnar or OLAP databases, such as ClickHouse, StarRocks, or comparable technologies. Depth in one relevant platform is valued; experience with every listed technology is not required.
  • Experience building or maintaining data ingestion, transformation, or reporting pipelines.
  • A solid understanding of distributed systems fundamentals, including reliability, scalability, fault tolerance, and consistency.
  • Familiarity with automated testing, version control, CI/CD, and containerized deployment workflows.
  • Strong problem-solving, communication, and collaboration skills across distributed teams.
  • BS/MS in Computer Science or equivalent practical experience and technical training.

Additionally, the following skills and qualifications will help you stand out:

  • Experience with streaming and change data capture technologies, such as Kafka, Kafka Connect, or equivalent platforms.
  • Familiarity with relational databases such as PostgreSQL and their integration with analytical data stores.
  • Experience with incremental processing, schema evolution, deduplication, replay, backfills, and reconciliation.
  • Understanding of columnar storage, materialized views, indexing, compression, and distributed query execution.
  • Experience supporting multi-tenant systems, including data isolation, access controls, and workload management.
  • Experience with cloud infrastructure, containers, and monitoring tools.
  • A track record of diagnosing production issues and improving pipeline observability, resilience, and operational efficiency.

Location: USA OR Canada OR Mexico (Eastern or Central time zone)
Location Type:  hybrid (ATL) or Remote (Canada or Mexico)
Travel Expectations: None 
Education: Bachelor's Degree preferred, or equivalent combination of education and relevant professional experience.

Compensation: The typical base salary for this role is between USD $120,675 – $180,000 per year and it may be eligible for participation in a corporate bonus program. Actual compensation offer may vary from posted hiring range based upon geographic location, work experience, education, skill level, or other relevant factors. In addition to competitive compensation, Omnissa offers a variety of benefits such as employee ownership, health insurance, 401k with matching contributions, disability insurance, paid-time off, growth opportunities, and more. 
 

Omnissa is an Equal Employment Opportunity company and Prohibits Discrimination and Harassment of Any Kind:  
Omnissa is committed to the principle of equal employment opportunity and to providing a work environment free of discrimination and harassment. All employment decisions at Omnissa are based on business needs, job requirements and individual qualifications, without regard to race, color, religion, ancestry, ethnicity, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past, present, or prospective service in the uniformed services, family medical history or genetic information, family or parental status, veteran status, or any other status protected by applicable laws or regulations in the locations where we operate. Omnissa will not tolerate discrimination or harassment based on any of these characteristics. Omnissa welcomes applicants of all ages. Omnissa will provide reasonable accommodations to applicants and employees who have protected disabilities consistent with applicable federal, state and local law. 


This job requisition is not eligible for employment-based immigration sponsorship by Omnissa.

Skills Required

  • 5+ years of software engineering experience, including backend services, data platforms, reporting systems, or distributed systems
  • Strong programming skills in one or more backend languages, such as C#, Java, Go, or Python
  • Strong SQL skills and experience with data modeling, query optimization, and database performance troubleshooting
  • Hands-on experience with columnar or OLAP databases, such as ClickHouse, StarRocks, or comparable technologies
  • Experience building or maintaining data ingestion, transformation, or reporting pipelines
  • Understanding of distributed systems fundamentals, including reliability, scalability, fault tolerance, and consistency
  • Familiarity with automated testing, version control, CI/CD, and containerized deployment workflows
  • Strong problem-solving, communication, and collaboration skills across distributed teams
  • Bachelor's or master's degree in Computer Science, or equivalent practical experience and technical training
  • Experience with streaming and change data capture technologies, such as Kafka or Kafka Connect
  • Familiarity with relational databases such as PostgreSQL and integration with analytical data stores
  • Experience with incremental processing, schema evolution, deduplication, replay, backfills, and reconciliation
  • Understanding of columnar storage, materialized views, indexing, compression, and distributed query execution
  • Experience supporting multi-tenant systems, including data isolation, access controls, and workload management
  • Experience with cloud infrastructure, containers, and monitoring tools
  • Experience diagnosing production issues and improving pipeline observability, resilience, and operational efficiency

Omnissa Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Omnissa and has not been reviewed or approved by Omnissa.

  • Healthcare Strength — Healthcare offerings include comprehensive medical, dental, and vision coverage, with wellness options referenced across materials. Health plans are characterized as decent to strong within a standard tech package.
  • Retirement Support — A 401(k) with company match is part of the core package and is specifically highlighted as a valued benefit in U.S. materials. Retirement support is presented as a stable element of total rewards.
  • Leave & Time Off Breadth — Vacation and PTO are highlighted positively, with generous paid time off and holidays noted in public benefits descriptions. Time-off programs are portrayed as supportive of work-life balance.

Omnissa Insights

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The Company
HQ: Mountain View, California
2,430 Employees

What We Do

Omnissa is the digital work platform leader, trusted by thousands of organizations worldwide as the former VMware End-User Computing business. We make digital work, work – for businesses and their people. No painful IT processes or productivity trade-offs. Instead, a seamlessly delivered digital employee experience that simplifies work. Our comprehensive digital work platform enables IT teams to provide secure, personalized experiences for every employee, on any device. Omnissa unifies, automates, and efficiently scales the digital workspace. By empowering employees to do their best work, anywhere, we help workforces everywhere unlock exponential business value. All is made possible with the Omnissa™ Platform, the first AI-driven digital work platform for smart, seamless, and secure work experiences from anywhere. It integrates multiple industry-leading solutions across Unified Endpoint Management, Virtual Desktops and Apps, Digital Employee Experience, and Security and Compliance. By continuously adapting to users’ work styles, Omnissa optimizes user experience, security, IT operations and costs.

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