Senior Data Engineer — Onsite Data Platform Expert

Intone Inc; Salt Lake City, Northern (UT, KY); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Intone Inc. seeks a Senior Data Engineer for a six-month, on-site contract in Salt Lake City, UT, to design, implement, and support secure, scalable enterprise data platforms using Databricks, Spark, and Azure data services.

You will build high-performance pipelines, data models, and analytics foundations while ensuring data quality and governance. Strong SQL, Python, and Scala skills, plus experience with Kafka and REST/SOAP APIs, are required.

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical discipline (or equivalent professional experience)
• 6+ years of experience designing, developing, and supporting enterprise data platforms, cloud analytics solutions, or large-scale data engineering initiatives
• Strong hands-on experience with Databricks
• Strong hands-on experience with Apache Spark (PySpark)
• Strong hands-on experience with Python
• Strong hands-on experience with SQL
• Strong hands-on experience with Scala
• Experience with Databricks ecosystem: Workspaces, Delta Lake, Unity Catalog, DLT, Databricks SQL, MLflow, Jobs
• Strong SQL development experience, including query optimization and performance tuning
• Experience with Azure Data Factory or comparable cloud integration platforms
• Experience with Apache Kafka or other event streaming technologies
• Experience integrating enterprise applications using REST APIs, JSON, XML, SOAP
• Experience with Azure Data Lake Storage (ADLS Gen2) or comparable cloud storage
• Experience with Git and Linux shell
• Experience with Agile methodologies (Scrum/Kanban/SAFe)
• Demonstrated ability to manage multiple priorities and mentor teammates

Responsibilities

• Design, develop, test, deploy, and maintain enterprise data engineering solutions using modern cloud and big data technologies
• Design and implement scalable ETL/ELT pipelines utilizing Databricks, Apache Spark (PySpark), Delta Lake, and Azure Data Factory
• Build high-performance data ingestion, transformation, and integration frameworks supporting enterprise analytics and reporting
• Develop, optimize, and maintain complex SQL queries, stored procedures, and data transformation processes
• Design and implement scalable data models supporting business intelligence, analytics, and AI initiatives
• Build and integrate RESTful APIs, event-driven architectures, and legacy SOAP services to facilitate seamless enterprise data exchange
• Develop and maintain streaming and messaging solutions using Apache Kafka
• Monitor, troubleshoot, and optimize production data pipelines while performing root cause analysis and implementing long-term solutions
• Implement data quality, governance, security, and performance best practices across enterprise platforms
• Manage source code using Git while following CI/CD and enterprise DevOps best practices
• Collaborate with Solution Architects, Product Owners, Business Analysts, and cross-functional engineering teams to translate business requirements into technical solutions
• Participate in Agile ceremonies including sprint planning, backlog refinement, architecture discussions, code reviews, and retrospectives
• Create technical documentation, deployment artifacts, testing documentation, and operational runbooks
• Mentor junior engineers and contribute to engineering standards, best practices, and continuous improvement initiatives

Skills

Databricks

Apache Spark (PySpark)

Python

SQL

Scala

Azure Data Factory

Azure Data Lake

Kafka

REST APIs

Git

Linux

Agile methodologies

Education

Bachelor's degree in Computer Science, Information Systems, Engineering, or related field

Tools

Databricks Workspaces

Delta Lake

Unity Catalog

Delta Live Tables

Databricks SQL

MLflow

Databricks Jobs

Job description

Intone Inc. seeks a Senior Data Engineer for a six-month, on-site contract in Salt Lake City, UT, to design, implement, and support secure, scalable enterprise data platforms using Databricks, Spark, and Azure data services.

You will build high-performance pipelines, data models, and analytics foundations while ensuring data quality and governance. Strong SQL, Python, and Scala skills, plus experience with Kafka and REST/SOAP APIs, are required.