Lead Data Engineer with Databricks
Saint Louis, Missouri, United States
- Pay
USD 140,000–150,000/year — pay source
Salary 140,000 – 150,000 USD per year Know what it’s like to work and grow at Brillio: Click here
Read the full posting- Work setup
On-site — work setup source
Work setup in the employer’s listing: onsite
From the employer’s posting- Employment
- Unconfirmed
What you’ll work on
Full postingDesign, develop, and maintain ETL/ELT pipelines using PySpark and Python in Databricks
Implement medallion architecture and optimize Spark jobs for performance and cost
Provision cloud infrastructure with Terraform for Databricks and cloud storage
Implement and maintain CI/CD pipelines using Jenkins and GitHub
Monitor pipeline performance, troubleshoot failures, and set up alerting
From the employer’s posting
Design, develop, and maintain ETL/ELT pipelines using PySpark and Python in Databricks
Implement medallion architecture (bronze/silver/gold layers) and optimize Spark jobs for performance, cost, scalability, and reliability
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
Monitor pipeline performance, troubleshoot failures, and implement alerting/observability
Tools in this posting
- Python
- SQL
- AWS
- Azure
- Databricks
- Delta
- S3
- Spark
- Terraform
- PySpark
Source — Tool mentions in context
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.).
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.
• 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.
• 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).
• 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.
• 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.
• 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.
• 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).
• 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).
• 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.
• 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.
• 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).
• 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.
About Brillio-2
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.
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 13, 2026 · 35d ago
- Recorded sightings
- 79
- Last seen by us
- Oct 17, 2026
- Employer says posted
- Sep 4, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Job description
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: https://www.brillio.com/services-data-analytics/
Know what it’s like to work and grow at Brillio: https://www.brillio.com/join-us/
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.
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Salary
140,000 – 150,000 USD per year
Employment type
Employee
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- Pay
Salary 140,000 – 150,000 USD per year Know what it’s like to work and grow at Brillio: Click here
- Location & working pattern
Saint Louis, Missouri, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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