Job Description: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.
