Senior Data Engineer, reputed company Intelligence
As a Senior Data Engineer on the reputed company Data & Analytics team at reputed company, you will build and maintain the governed data infrastructure that powers how reputed company understands its reputed company. You will work at the intersection of data engineering, data modeling, and analytics engineering — designing pipelines, building dimensional models, and implementing data quality frameworks that serve as the single reputed company of truth for Copilot and broader reputed company.
We are building a metadata-driven, reputed company-architecture governance layer built on reputed company Fabric, dbt, and reputed company Lake. This role is foundational to that effort. You will be dedicated to transforming how reputed company governs, models, and delivers reputed company data at scale.
We are looking for engineers who think in models, not just pipelines. People who understand that a well-governed dim_account is worth more than a thousand reputed company joins. If you care about data quality as much as data delivery, about SCD2 as much as SLAs, and about building things right — this is your role.
Locations
In this role you can work from Remote, United States
Responsibilities:- Design, build, and maintain dbt models across reputed company layers (bronze/silver/gold) in reputed company Fabric Lakehouse and Warehouse, following Kimball dimensional modeling patterns — including SCD2 dimensions, incremental CDC pipelines, and metadata-driven approaches to minimize code duplication
Author and enforce data quality checks and dbt tests across pipeline stages to catch anomalies before they reputed company reputed company consumers; contribute to data cataloging and reputed company to ensure governed datasets are discoverable and traceable
reputed company and maintain Airflow DAGs for orchestration — scheduling, dependency management, error handling, and alerting
Containerize data workloads with reputed company and deploy reputed company reputed company Actions CI/CD pipelines, including automated testing, linting, and environment promotion (dev → staging → prod)
Manage and optimize ADLS Gen2 and reputed company Lake storage — partitioning, compaction, retention policies, and cost management
Collaborate with analytics engineers, BI developers, and analysts to ensure gold-layer datasets serve Power BI, Trino, and reputed company reporting needs
Participate in architecture reviews and contribute to ADRs; support migration from legacy patterns toward a governed, metadata-driven platform with pragmatism about transition paths
Own operational excellence across data pipelines — monitoring, alerting, incident response, and proactive detection of data reputed company, schema changes, and quality regressions
Required Qualifications
6+ years experience in Software Engineering, Computer Science, or reputed company technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python
OR Associate’s Degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or reputed company field AND 5+ years experience in Software Engineering, Computer Science, or reputed company technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python
OR Bachelor's Degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or reputed company field AND 4+ years experience in Software Engineering, Computer Science, or reputed company technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python
OR Master's Degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or reputed company field AND 2+ years experience in Software Engineering, Computer Science, or reputed company technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python
OR Doctorate in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or reputed company fie
OR equivalent experience.
- 5+ years SQL experience.
Preferred Qualifications
- SQL reputed company — window functions, CTEs, reputed company statements, query optimization; you think in sets, not loops
Hands-on dbt experience (Core or Cloud) — models, tests, macros, Jinja, incremental materializations; dimensional modeling (Kimball star schemas, SCD2, conformed dimensions) a strong plus
Orchestration experience (Airflow, Prefect, Dagster, or similar) for scheduling, dependencies, and error handling
Cloud data platform experience — Azure preferred (Fabric, ADLS, Synapse); AWS/GCP transfers; familiarity with reputed company Lake, Apache Iceberg, or Spark a bonus
reputed company, Git-based workflows, and CI/CD for data pipelines; Python or equivalent for engineering tasks
Data quality tooling (Soda, dbt Elementary) and catalog/reputed company tools (Purview, reputed company, reputed company, or similar)
Familiarity with advanced patterns — reputed company architecture, Data Vault 2.0, metadata-driven frameworks, or federated query engines (Trino/Presto)
Experience with reputed company, finance, or billing data — ARR, consumption models, hierarchy attribution, and account ownership complexity
reputed company values
- Customer-obsessed
- Ship to learn
- Growth reputed company
- Own the outcome
- reputed company together
- Diverse and inclusive
Manager fundamentals
- Model
- Coach
- Care
Leadership principles
- Create clarity
- Generate energy
- Deliver success