Data Engineer

Datavail Infotech•Boulder, CO

2d•Onsite

About The Position

We are seeking a Data Engineer with 5-7+ years of IT experience, specializing in Databricks (data engineering, SQL, notebooks, app/backend integration patterns). The role requires deep knowledge of data modeling, data warehousing, and lakehouse patterns, along with hands-on experience with at least one modern data platform. You should have experience integrating data platforms with applications using APIs, services, or event-driven patterns, and a solid understanding of cloud architecture concepts (security, networking, scalability, cost management). Strong communication skills are essential for engaging with both technical and business stakeholders, and experience in client-facing or consulting environments is preferred. A Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, or a related field is required, along with 4+ years of experience in cloud/infrastructure technologies, IT consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting, or equivalent experience. The ideal candidate will have deep hands-on experience with the Databricks Lakehouse Platform and Apache Spark, strong proficiency in PySpark, SQL, Delta Lake, and Databricks SQL, and experience implementing Unity Catalog, data governance, and enterprise security controls. Cloud experience with Azure Databricks, AWS Databricks, or GCP Databricks is necessary, as is familiarity with CI/CD, DevOps, and automation for Databricks workloads. We are looking for 8-12+ years in data engineering or architecture, with 4-5+ years delivering Databricks solutions, and proven experience in client-facing consulting roles, including requirements discovery, solution design, and executive communication.

Requirements

5+ years of IT experience
Databricks (data engineering, SQL, notebooks, app/backend integration patterns)
Deep knowledge of data modeling, data warehousing, and lakehouse patterns
Hands-on experience with at least one modern data platform
Experience integrating data platforms with applications using APIs, services, or event-driven patterns
Solid understanding of cloud architecture concepts (security, networking, scalability, cost management)
Strong communication skills with the ability to engage both technical and business stakeholders
Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, or related field
4+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting. Or, equivalent experience
Deep hands on experience with Databricks Lakehouse Platform and Apache Spark
Strong proficiency in PySpark, SQL, Delta Lake, Databricks SQL
Experience implementing Unity Catalog, data governance, and enterprise security controls
Cloud experience with Azure Databricks, AWS Databricks, or GCP Databricks
Familiarity with CI/CD, DevOps, and automation for Databricks workloads
8–12+ years in data engineering or architecture
4–5+ years delivering Databricks solutions
Proven experience in client facing consulting roles, including requirements discovery, solution design, and executive communication

Nice To Haves

Fabric, Snowflake, Synapse, BigQuery experience

Responsibilities

Data engineering using Databricks
SQL and notebook development
App/backend integration patterns
Data modeling
Data warehousing
Lakehouse patterns
Integrating data platforms with applications using APIs, services, or event-driven patterns
Implementing Unity Catalog, data governance, and enterprise security controls
Delivering Databricks solutions
Requirements discovery
Solution design
Executive communication