Data Engineer

Datavail

Data Engineer specializing in Databricks solutions for client projects at Datavail. Engaging with clients to deliver data management and analytics services in a hybrid work environment.

Posted 7/21/2026full-timeDenver • Colorado • 🇺🇸 United StatesSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in data engineering solutions, particularly with the Databricks Lakehouse Platform, and possesses strong skills in data governance, architecture design, and client engagement in consulting environments.

Highest-signal resume keywords

Databricks Lakehouse PlatformData EngineeringSQLData GovernanceCloud Architecture

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingData WarehousingPySparkDelta LakeDatabricks SQLAPI IntegrationEvent-Driven PatternsCI/CDDevOpsCloud Technologies

Soft Skills

Strong Communication SkillsClient Engagement

Tools & Technologies

Azure DatabricksAWS DatabricksGCP DatabricksApache SparkUnity Catalog

Certifications & Qualifications

Bachelor's Degree in Computer ScienceInformation TechnologyEngineeringBusiness

Industry Keywords

Data EngineeringConsultingEnterprise Data WarehousesLakehouse PatternsData Governance Practices

Tech Stack

Tools & technologies

ApacheAWSAzureBigQueryCloudGoogle Cloud PlatformPySparkSparkSQLUnity

About the role

Key responsibilities & impact

Develop and manage data engineering solutions involving Databricks Lakehouse Platform
Collaborate with clients and stakeholders to gather requirements and feedback
Ensure data integrity and implement data governance practices
Design architecture for data processing and storage solutions
Work in consulting environments to deliver services and solutions to clients

Requirements

What you’ll need

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 of 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
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.

Benefits

Comp & perks

Health insurance
401(k) matching
Flexible work hours
Paid time off
Remote work options