Principal Data Engineer

OCTAVE LLC
Houston, TX, United States
2 days ago
Apply on www.dice.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Airflow Data Architecture Data Validation Data Deduplication Information Engineering Data Integration Extract Transform Load (ETL) Data Mining Graph Database Python (Programming Language) Microsoft SQL Server
+19 more
OAuth Octave Open Data Protocol Oracle (Applications) Openapi Enterprise Software Applications Data Classification Azure Data Factory Apache Spark Change Data Capture Microsoft Fabric Data Lakes Pyspark Debezium Data Lineage Database Mirroring Restful APIs Azure Synapse Analytics Data Pipelines

Job description

The Data Engineer owns the reliable flow of data from Hexagon’s source products into the Octave platform’s Microsoft Fabric lakehouse. This role is responsible for building and operating the connectors, pipelines, and staging infrastructure that ensure every downstream capability - from ontological transformation to knowledge graph construction - has high-quality, timely, and trustworthy data to work with. The Data Engineer is the first and most critical link in the platform’s data supply chain.

  • Design, build, and operate data integration pipelines connecting Hexagon source products (Sequence/EcoSys, Loop/Smart Materials, Forte 3D, Attune/EAM) to the Fabric lakehouse
  • Implement and maintain database mirroring configurations for SQL Server and Oracle source systems, ensuring near-real-time replication with schema change detection
  • Configure and operate Databridge Pro (DBPro) as a middleware integration layer where direct mirroring is not viable - API adapters, event streams, and scheduled extracts
  • Enforce the staging discipline: land data in its original form in the lakehouse Bronze layer before any transformation, minimizing logic in extractors and enabling replay
  • Build and maintain the change-data-capture (CDC) infrastructure to track record-level changes over time - a prerequisite for temporal queries and the Delivery Genome
  • Own pipeline observability: monitoring, alerting, lineage tracking, and data quality checks at ingestion time
  • Collaborate with the Graph Engineer on schema understanding to ensure ingested data maps cleanly to ontological transformation requirements
  • Work with the Governance function to implement data classification, access controls, and audit-ready lineage at the pipeline level
  • Contribute to the no-code pipeline capability within Platform Studio’s data engineering tool, informing what connectors and patterns should be productized

Requirements

  • 7+ years in data engineering, with hands-on production experience building and operating ETL/ELT pipelines at scale
  • Strong proficiency with Microsoft Fabric or Azure Synapse Analytics - Delta Lake, lakehouse architecture, and Spark-based transformation
  • Experience with database mirroring or CDC for SQL Server (e.g. Fabric Database Mirroring, Debezium, SQL Server replication) and Oracle
  • Hands-on experience with REST API integration and OData/OpenAPI-based data extraction
  • Solid understanding of medallion/lakehouse architecture patterns (Bronze/Silver/Gold or equivalent staging discipline)
  • Experience with pipeline orchestration tools (Azure Data Factory, Fabric Data Workflows, Airflow, or comparable)
  • Proficiency in Python and/or PySpark for transformation logic and notebook-based ETL
  • Strong data quality mindset - schema validation, null handling, deduplication, and monitoring at ingestion
  • Familiarity with enterprise authentication patterns (OAuth2 client credentials, service principals, managed identities)

Preferred:

  • Experience with Databridge Pro or comparable industrial middleware integration products
  • Background in capital projects, EPC, or industrial enterprise software data models
  • Exposure to knowledge graph construction pipelines downstream of lakehouse staging

About the company

Turning complex operational data into actionable intelligence, Octave connects expertise, real-world conditions and enterprise-scale insight to improve performance, resilience and incident response where it matters most.

Octave has more than 7,000 employees in 45 countries. Learn more at octave.com and follow us on LinkedIn.

Why work for Octave?

All in. Always forward. That’s the way we do things around here. We put trust in our people because we believe it’s the best way to unleash potential, bring ideas to life, and keep moving ahead. And it’s why we’re committed to creating an environment that’s truly supportive, providing you with the resources you need to support your ambitions, no matter who you are or where you are in the world.

Everyone is welcome

At Octave, we believe that diverse and inclusive teams are critical to the success of our people and our business. Here, everyone is welcome. As an inclusive workplace, we don’t discriminate. In fact, we embrace differences and are fully committed to creating equal opportunities, an inclusive environment, and fairness for all.

Respect is the cornerstone of how we operate, so speak up and be yourself. You’re valued here.

Recruitment Fraud Alert

Octave posts all official job opportunities on either or and communicates only from email addresses ending in @octave.com. We never request payment or personal banking information during recruitment. No offers will ever be extended without a proper interview via Teams or in person, never done over email alone. If you suspect fraud, it probably is, and contact us at

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.dice.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:15 min

Empowering domain teams with an open data platform

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

2:49 min

Adopting OAuth best practices and removing outdated grants

Alexander Schwartz Alexander Schwartz · World Congress 2026 Europe

2:22 min

Foundational music theory for pitch detection

Omar Diop Omar Diop · World Congress 2024

2:57 min

Core technical practices for robust data engineering

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

1:34 min

Analyzing vulnerabilities in standard OAuth 2.0 authorization flows

Alexander Schwartz Alexander Schwartz · World Congress 2026 Europe

Videos

See all

Related articles

See all