Senior Data Engineer

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BMC Software

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1980

🏢 Enterprise

☁️ SaaS

🤝 B2B

💰 Series unknown on 2018-06

Enterprise • SaaS • B2B

BMC Software is a long-established enterprise software company that builds IT operations, service management, automation, and cloud/mainframe management solutions for other businesses. The company delivers enterprise-grade products and platforms (including on-premises and SaaS offerings) that help organizations monitor, manage, and automate IT services and infrastructure, and it increasingly emphasizes AI-driven capabilities and collaboration in its product portfolio.

📋 Description

• Design, build, and maintain scalable data pipelines and integrations across internal and external systems • Develop and optimize data solutions supporting analytics, BI, machine learning, AI/Agentic AI, operational reporting, and self-service data access • Build robust ELT/ETL workflows to ingest and transform data from CRM, product telemetry, marketing, finance, support, and subscription platforms • Design and maintain clean, scalable, well-documented data models for enterprise reporting and analytics • Improve data reliability, quality, observability, lineage, and performance across the data platform • Design and maintain data pipelines and services enabling AI/ML and GenAI use cases, including model-ready datasets, feature pipelines, retrieval-based workflows, and intelligent applications • Partner with analytics engineers, data scientists, architects, and business stakeholders to translate requirements into production-grade data solutions • Ensure data pipelines are secure, governed, and aligned with enterprise data standards and best practices • Optimize data processing and storage for performance, cost, scalability, and maintainability • Support near real-time and batch data processing patterns • Contribute to overall data architecture, including ingestion, transformation, orchestration, storage, semantic modeling, and data serving layers • Troubleshoot pipeline issues, resolve data inconsistencies, and drive root-cause remediation • Contribute to engineering standards, code quality, and team best practices

🎯 Requirements

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field • Experience with GTM Analytics domains such as product analytics, customer success, finance, or subscription analytics • 8+ years of experience in data engineering, preferably in B2B SaaS or large-scale technology companies • Strong experience designing and building scalable data pipelines and cloud-based data platforms • Advanced proficiency in SQL • Strong programming skills in Python, Scala, or Java • Hands-on experience with modern cloud data platforms such as Snowflake, BigQuery, Redshift, Databricks, or similar • Experience with data orchestration and transformation tools such as Airflow, dbt, Informatica, Fivetran, or equivalent • Strong understanding of data modeling, including dimensional modeling and analytics-oriented schema design • Experience building and managing data pipelines supporting AI/ML workloads, including feature preparation, model-ready datasets, and scalable ingestion of structured and unstructured data

🏖️ Benefits

• Equal opportunity employment • Reasonable accommodation for any part of the application and hiring process • Remote work arrangement • Occasional business travel