Senior Data Engineer

Stelvio Inc.; Plano (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Stelvio Inc. in Plano, TX seeks an experienced Senior Data Engineer to design and optimize a modern Azure data platform.

You will build scalable ETL pipelines, implement medallion architecture, and ensure data quality and governance for high-volume datasets to support analytics and business decisions. You will collaborate with data scientists, analysts, and cloud teams, mentoring junior engineers and contributing to security standards.

Qualifications

• Degree in Computer Science, Engineering, or related field.
• 5+ years of data engineering experience.
• 3+ years with Azure Databricks and Spark/PySpark.
• Strong expertise in Delta Lake, Unity Catalog, and SQL warehousing.
• Hands-on experience with ADLS Gen2, Event Hub, Data Factory, Key Vault, and Synapse.

Responsibilities

• Design and optimize scalable ETL/ELT pipelines on Azure Databricks.
• Build data ingestion workflows from Event Hub, APIs, and storage.
• Develop Bronze, Silver, and Gold data layers in medallion architecture.
• Implement Delta Lake governance, schema evolution, and versioning.
• Tune large pipelines for performance and cost; configure Spark.
• Integrate Databricks with ADLS Gen2, Data Factory, Synapse, Event Hub, and Key Vault.
• Enforce secure data access with RBAC and data masking.
• Collaborate with analysts, scientists, and stakeholders to deliver trusted data and KPIs.
• Provide technical guidance and code reviews; mentor junior engineers.
• Support security and privacy requirements with architecture and security teams.
• Set up data quality checks, lineage tracking, and observability tooling.

Skills

Azure Databricks

PySpark

SQL

Python

Delta Lake

Unity Catalog

ETL pipelines

Data modeling

CI/CD

Spark tuning

Azure Synapse

RBAC

Education

Bachelor's or Master's degree

Tools

Databricks Notebooks

ADLS Gen2

Azure Data Factory

Key Vault

Azure DevOps

Terraform

Azure Synapse

Event Hub

Job description

Plano, TX | On-site (Fridays from home after 90 days)

We are working with a client that develops and delivers technology solutions used by businesses across the U.S. With a focus on scalable, data-driven products, the company continues to invest in its technology and engineering capabilities.

They are looking for an experienced Senior Data Engineer to join their team in Plano, Texas. You'll play a key role in developing and optimizing a modern Azure data platform, working with high-volume datasets and building scalable solutions that support analytics and wider business needs.

This is an on-site position, requiring you to commute to Plano, TX daily.

Responsibilities

• Design and develop scalable ETL/ELT pipelines using Azure Databricks, PySpark, and Spark SQL
• Build data ingestion workflows across sources including Event Hub, APIs, Azure SQL, and Blob Storage
• Develop and maintain Bronze, Silver, and Gold layers within a medallion architecture
• Implement best practices across Delta Lake and Unity Catalog, including schema evolution, versioning, and governance
• Optimize large-scale data pipelines for performance and cost through partitioning, caching, clustering, and Spark configuration tuning
• Integrate Databricks with ADLS Gen2, Azure Data Factory, Azure Synapse, Event Hub, Key Vault, and Azure DevOps
• Implement secure data access using managed identities, RBAC, and data masking
• Work with data analysts, data scientists, business stakeholders, architects, and cloud teams to deliver trusted datasets and KPIs
• Provide technical guidance and mentorship to junior engineers, including code reviews and architectural input
• Partner with enterprise architecture and information security teams to support data security and privacy requirements
• Implement data quality checks, alerts, and lineage tracking using tools such as Great Expectations, Unity Catalog, and data observability platforms
• Build monitoring, alerting, and recovery processes for mission-critical data pipelines

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• 5+ years of data engineering experience
• 3+ years of hands-on experience with Azure Databricks and Spark/PySpark
• Strong expertise in Delta Lake, Unity Catalog, Databricks Notebooks, and SQL Warehousing
• Hands-on experience with ADLS Gen2, Event Hub, Azure Data Factory, Key Vault, and Azure Synapse
• Strong programming skills in Python and SQL, with familiarity with Scala
• Solid understanding of OLTP/OLAP data modelling, star and snowflake schemas, and performance tuning
• Experience implementing CI/CD for Databricks using Databricks CLI, Terraform, or Azure DevOps

Additional experience that would be beneficial includes

• Databricks certification, such as Databricks Certified Data Engineer Professional
• Real-time streaming technologies including Structured Streaming, Event Hub, or Kafka
• MLflow or supporting machine learning pipelines within Databricks
• Data governance, lineage, and compliance standards including GDPR, HIPAA, and SOC 2