Senior Data Engineer

Stelvio Inc.; Plano (TX); On-site; USD 140,000 - 180,000; Full time

Benefits offered by this job

Fridays remote after 90 days

Job summary

Stelvio Inc. is seeking a Senior Data Engineer in Plano, TX to design and scale an Azure-based data platform for analytics and business insights. You will build and optimize ETL/ELT pipelines, implement medallion architecture, and governance with Delta Lake and Unity Catalog.

You will collaborate across data teams and stakeholders, mentor junior engineers, and ensure secure data access and compliant data management as the data platform evolves.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 5+ years of data engineering experience.
• 3+ years hands-on 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.

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 Bronze, Silver, and Gold layers within a medallion architecture.
• Implement Delta Lake, Unity Catalog governance, schema evolution, and versioning.
• Optimize large pipelines for performance and cost via partitioning, caching, and tuning.
• Integrate Databricks with ADLS Gen2, Azure Data Factory, Synapse, Event Hub, Key Vault, and DevOps.
• Enforce secure data access with managed identities, RBAC, and data masking.
• Collaborate with analysts, scientists, stakeholders, and cloud teams to deliver trusted datasets.
• Provide technical guidance and mentorship, code reviews, and architectural input.
• Support data security/privacy with enterprise architecture and security teams.

Skills

Azure Databricks

Spark/PySpark

Delta Lake

Unity Catalog

SQL Warehousing

Python

SQL

Databricks CLI

Terraform

Azure DevOps

Education

Bachelor’s or Master’s degree in Computer Science/Engineering or related field

Tools

ADLS Gen2

Event Hub

Azure Data Factory

Azure Synapse

Key Vault

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