Lead Data Engineer with Databricks - R01570796

St. Louis, MO, US • Posted 20 hours ago • Updated 9 hours ago
Full Time
On-site
USD $140,000.00 - 150,000.00 per year
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Design Thinking
  • Customer Satisfaction
  • ELT
  • Scalability
  • Caching
  • Analytics
  • ProVision
  • IaaS
  • Storage
  • Automated Testing
  • Database
  • Streaming
  • Data Quality
  • Regulatory Compliance
  • Access Control
  • Cloud Computing
  • Job Scheduling
  • Agile
  • Data Engineering
  • Python
  • PySpark
  • Data Processing
  • Extract
  • Transform
  • Load
  • SQL
  • Optimization
  • Unity
  • Workflow
  • Provisioning
  • Management
  • Cloud Storage
  • Computer Networking
  • Version Control
  • Collaboration
  • Continuous Integration
  • Continuous Delivery
  • Jenkins
  • GitHub
  • Terraform
  • Microsoft Azure
  • Data Lake
  • Amazon Web Services
  • Amazon S3
  • Electronic Health Record (EHR)
  • Big Data
  • Data Modeling
  • Snow Flake Schema
  • Performance Tuning
  • Apache Spark
  • Databricks
  • Military
  • Artificial Intelligence
  • Recruiting

Summary

About Brillio:

Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world-class professionals, referred to as "Brillians", distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction.

Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio's relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work certification year after year.

Lead Data Engineer

Job requirements

Key Responsibilities

Design, develop, and maintain ETL/ELT pipelines using PySpark and Python in Databricks (including notebooks, jobs, Delta Lake tables, and Unity Catalog for governance).

Implement medallion architecture (bronze/silver/gold layers) and optimize Spark jobs for performance, cost, scalability, and reliability (handling partitioning, skew, caching, adaptive query execution, etc.).

Write efficient SQL queries for data transformation, validation, and analytics within Databricks.

Provision and manage cloud infrastructure using Terraform (IaC) for Databricks workspaces, clusters, jobs, storage (ADLS/S3), networking, IAM roles/permissions, and related resources on Azure and/or AWS.

Implement and maintain CI/CD pipelines using Jenkins, GitHub (Actions/Repositories), and branching strategies for automated testing, deployment of notebooks, jobs, Delta Live Tables, and Terraform configurations.

Integrate data from diverse sources (databases, APIs, streaming, files) into cloud storage and processing layers.

Ensure data quality, lineage, security, and compliance (including Delta Lake ACID transactions, schema evolution, time travel, and access controls).

Monitor pipeline performance, troubleshoot failures, and implement alerting/observability (using Databricks tools, cloud monitoring services, or third-party solutions).

Optimize cloud costs through auto-scaling clusters, spot instances, job scheduling, and efficient resource usage.

Collaborate in agile teams, participate in code reviews, and contribute to best practices for data engineering.

Required Skills & Experience

Strong proficiency in Python and PySpark for distributed data processing and ETL.

Advanced SQL skills with experience in complex querying, window functions, and optimization.

Hands-on experience with Databricks (clusters, notebooks, Delta Lake, Unity Catalog, Delta Live Tables, workflows/jobs).

Proficiency in Terraform for infrastructure provisioning and management (Databricks resources, cloud storage, IAM, networking).

Experience with GitHub for version control and collaboration (branching, pull requests, code reviews).

Solid knowledge of CI/CD practices and tools, particularly Jenkins (pipelines, plugins for Databricks/GitHub/Terraform).

Working experience on Azure (Data Lake, Data Factory, Synapse, Key Vault, etc.) and/or AWS (S3, Glue, EMR, IAM, Lambda, etc.).

Understanding of big data concepts, data modeling (star/snowflake, dimensional), and lakehouse principles.

Familiarity with performance tuning in Spark/Databricks environments.

Additional Information:
This role requires presence in St. Louis and attendance at the client office three days a week.

Know more about DAE: ;br>
Know what it's like to work and grow at Brillio: ;br>
Equal Employment Opportunity Declaration

Brillio is an equal opportunity employer to all, regardless of age, ancestry, colour, disability (mental and physical), exercising the right to family care and medical leave, gender, gender expression, gender identity, genetic information, marital status, medical condition, military or veteran status, national origin, political affiliation, race, religious creed, sex (includes pregnancy, childbirth, breastfeeding, and related medical conditions), and sexual orientation.

#LI-SRI

$140,000 - $150,000 a year

Know what it's like to work and grow at Brillio: Click here

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90672149
  • Position Id: 6de8af273eb89e572ebe926140c85324
  • Posted 20 hours ago
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