Senior Data Engineer

BMC
United States
Workplace: RemoteFull time132,975 - 221,625Function: Solutions Engineering & Sales EngineeringEducation: bachelorsSkills: []

Design, build, and scale modern data platforms and pipelines that power agentic AI, analytics, BI, reporting, and machine learning across the business. You’ll develop robust ELT/ETL workflows ingesting data from systems like CRM, telemetry, marketing, finance, support, and subscriptions, while improving reliability, quality, observability, lineage, and performance. Partner with analytics, data science, and business stakeholders to deliver secure, governed, production-grade data solutions.

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FursaFursa
BMC
BMC
2 days ago

Senior Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 23 hours agoStatus: Live

Job Summary

Design, build, and scale modern data platforms and pipelines that power agentic AI, analytics, BI, reporting, and machine learning across the business. You’ll develop robust ELT/ETL workflows ingesting data from systems like CRM, telemetry, marketing, finance, support, and subscriptions, while improving reliability, quality, observability, lineage, and performance. Partner with analytics, data science, and business stakeholders to deliver secure, governed, production-grade data solutions.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Design, build, and maintain scalable data pipelines and integrations across internal and external systems.
  • •Develop and optimize data solutions for 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 systems such as CRM, product telemetry, marketing, finance, support, and subscription platforms.
  • •Improve data reliability, quality, observability, lineage, and performance across the data platform, including near real-time and batch processing patterns.
  • •Ensure data pipelines are secure, governed, aligned with enterprise standards, and troubleshoot issues to drive root-cause remediation.
Travel: Low travel

Pay and Benefits

Salary: 132,975 - 221,625

Key Requirements

  • •Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field.
  • •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 and strong programming skills in Python, Scala, or Java.
  • •Hands-on experience with cloud data platforms (e.g., Snowflake, BigQuery, Redshift, Databricks) and orchestration/transformation tools (e.g., Airflow, dbt, Informatica, Fivetran).
Experience:B2B SaaSEnterprise technology
Education:Bachelor's
Tech Stack:SQLPythonScalaJavaSnowflakeBigQueryRedshiftDatabricksAirflowDbtInformaticaFivetranELTETLData modelingDimensional modelingMachine learningAIAgentic AIGenAI

Company Brief

BMC
Provides IT service management, automation, and operations software to help enterprises manage digital services, cloud infrastructure, and mainframe environments with monitoring, service desk, and AIOps solutions.
Industry: Enterprise Software
Company Size: Enterprise (1,001+ employees)
Growth: Established Company
Funding: Private Equity Backed
Headquarters: Houston, United States
Founded: 1980
WebsiteLinkedIn