Datavail

Data Engineer

Posted 3 Days Ago

2 Locations

Hybrid

Senior level

Database

The Role

Design and deliver Databricks lakehouse solutions: build ETL/ELT pipelines with PySpark and SQL, implement governance and Unity Catalog, integrate data platforms with applications via APIs/events, apply cloud architecture best practices, automate CI/CD for Databricks workloads, and consult with clients on requirements and solution design.

Summary Generated by Built In

Title: Data Engineer

Location: USA

Exp: 5+

7 + years of IT experience
Databricks (data engineering, SQL, notebooks, app/backend integration patterns)Enterprise data warehouses and lakehouse platforms (Nice to have Fabric, Snowflake, Synapse, BigQuery – experience)

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
Experience working in client‑facing or consulting environments

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, with 4–5+ years delivering Databricks solutions
Proven experience in client facing consulting roles, including requirements discovery, solution design, and executive communication

About UsDatavail is a leading provider of data management, application development, analytics, and cloud services, with more than 1,000 professionals helping clients build and manage applications and data via a world-class tech-enabled delivery platform and software solutions across all leading technologies. For more than 17 years, Datavail has worked with thousands of companies spanning different industries and sizes, and is an AWS Advanced Tier Consulting Partner, a Microsoft Solutions Partner for Data & AI and Digital & App Innovation (Azure), an Oracle Partner, and a MySQL Partner. About the Team

Datavail’s Data Management Services:

Datavail’s Data Management and Analytics practice is made up of experts who provide a variety of data services including initial consulting and development, designing and building complete data systems, as well as ongoing support and management of database, data warehouse, data lake, data integration, and virtualization and reporting environments. Datavail’s team is comprised of not just excellent BI & analytics consultants, but great people as well. Datavail’s data intelligence consultants are experienced, knowledgeable and certified in the best in breed BI and analytics software applications and technologies. We ascertain your business objectives, goals and requirements, assess your environment, and recommend the tools which best fit your unique situation. Our proven methodology can help your project succeed, regardless of stage. With the combination of a proven delivery model and top-notch experience ensures that Datavail will remain the Data Management experts on demand you desire. Datavail’s flexible and client focused services always add value to your organization.

Skills Required

7+ years of IT experience
8-12+ years in data engineering or architecture, with 4-5+ years delivering Databricks solutions
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
Experience integrating data platforms with applications using APIs, services, or event-driven patterns
Deep knowledge of data modeling, data warehousing, and lakehouse patterns
Solid understanding of cloud architecture concepts (security, networking, scalability, cost management)
Proven client-facing consulting experience including requirements discovery, solution design, and executive communication
Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, or related field or equivalent experience
4+ years experience in cloud/infrastructure technologies, IT consulting/support, systems administration, network operations, software development/support, or equivalent experience

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The Company

HQ: Broomfield, CO

263 Employees

Year Founded: 2007

What We Do

A premiere data services company serving clients in North America, Datavail has 1,000 data professionals, data engineers, developers, project managers, consultants, and business experts, supported by industry-leading automation and intellectual property. For more than 17 years, Datavail has worked with thousands of companies spanning different industries and sizes. At Datavail, we look for more than smarts, experience and proficiency. On top of those requirements, we seek people who mesh with our corporate values. We seek brilliance without bravado and know-how without a know-it-all attitude. We hold low ego in high regard, embrace problem-solving as a passion and welcome every day as a new opportunity to learn. We’re flexible and hard working. We’re committed to our clients and colleagues. We help our people grow so they can help our clients grow. That makes us grow so we can help even more customers leverage organizational data for business value. Our Core Values: 1. We desire to serve. 2. We embody flexibility for availability 3. We exemplify low ego. 4. We work hard. 5. We strive for continuous improvement. 6. We are growth-oriented.