Senior Data Engineer

Stelvio Inc.; Plano (TX); On-site; USD 110,000 - 170,000; Full time

Benefits offered by this job

On-site role

Fridays from home after 90 days

Job summary

Stelvio Inc. in Plano, TX seeks a Senior Data Engineer to design and optimize a modern Azure data platform, handling high-volume datasets and enabling analytics across the business.

The role is on-site in Plano with Fridays from home after 90 days; you will mentor junior engineers, implement Delta Lake governance, and collaborate with data analysts, architects, and cloud teams to deliver trusted datasets.

Qualifications

• 5+ years of data engineering experience
• 3+ years with Azure Databricks and Spark/PySpark
• Strong expertise in Delta Lake, Unity Catalog, Databricks Notebooks, and SQL Warehousing
• Hands-on with ADLS Gen2, Event Hub, Azure Data Factory, Key Vault, and Azure Synapse
• Strong programming skills in Python and SQL, with familiarity with Java/Scala

Responsibilities

• Design and develop scalable ETL/ELT pipelines using Azure Databricks, PySpark, and Spark SQL
• Build data ingestion workflows across Event Hub, APIs, Azure SQL, and Blob Storage
• Develop and maintain Bronze, Silver, and Gold layers in medallion architecture
• Implement Delta Lake governance, schema evolution, and data quality measures
• Ensure performance/cost optimization of large-scale pipelines and tuning
• Collaborate with analysts, scientists, stakeholders, architects, and cloud teams
• Provide mentorship, code reviews, and architectural input to junior engineers
• Partner with security teams to support data privacy requirements
• Implement monitoring, alerts, and lineage tracking for data pipelines

Skills

Azure Databricks

PySpark

Spark SQL

Python

SQL

Delta Lake

Unity Catalog

CI/CD

Databricks Notebooks

Education

Bachelor's or Master's in CS/Engineering

Tools

Azure DevOps

Terraform

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