Enter a job title or keyword
Azure Databricks Data Engineer
Job Location:
Job Location:
Saint Louis, MI - USA
Yearly Salary:
USD 110000 - 135000
Yearly Salary:
Posted:
21 October 2026 (11 hours ago)
Posted:
Application Deadline:
18 January 2027
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Title: Azure Databricks Data Engineer
Location: Saint Louis MO-Day 1 Onsite
Duration: Full Time/Permanent Role
Salary Range: $110000-$135000 Per Year Benefits
Must Have Technical/Functional Skills
Roles & Responsibilities
Location: Saint Louis MO-Day 1 Onsite
Duration: Full Time/Permanent Role
Salary Range: $110000-$135000 Per Year Benefits
Must Have Technical/Functional Skills
- Significant data engineering experience including substantial hands-on Databricks development experience.
- Azure Databricks - Strong hands-on experience building production-grade batch pipelines and lakehouse solutions.
- PySpark / Spark SQL - Advanced transformations joins window functions reusable frameworks debugging and performance tuning.
- Delta Lake - Table design schema evolution merge/upsert patterns Eligible to workimization data reliability and history management.
- Medallion architecture - Practical delivery experience across source-aligned conformed and consumption-ready layers.
- Data modeling - Fact/dimension design conformed dimensions slowly changing dimensions aggregates and semantic-consumption considerations.
- Data quality and testing - Profiling rule implementation reconciliation unit/integration tests controls and defect analysis.
- Azure ecosystem - Working knowledge of Azure Data Lake Storage and relevant Azure integration identity monitoring and DevOps services.
- DevOps - Git-based development code reviews CI/CD environment promotion release controls and automated deployment.
- Security/governance - Experience implementing least-privilege access and working with catalog lineage classification and row-level security requirements.
- SQL - Advanced SQL development and query Eligible to workimization for large analytical datasets.
- Hands-on exposure to Databricks Lakeflow Spark Declarative Pipelines or Delta Live Tables and the ability to adEligible to work evolving Databricks-native pipeline standards.
- Experience with Unity Catalog; familiarity with enterprise data-governance and data-quality tooling such as Informatica.
- Experience with HR data from Workday Dayforce PeopleSoft recruiting workforce management or talent systems.
- Understanding of Power BI consumption patterns star schemas refresh needs aggregates and performance requirements.
- Experience creating accelerators reusable engineering templates metadata-driven pipelines or automated test frameworks.
- Databricks Data Engineer certification or equivalent cloud/data engineering credential.
- Experience in a blended onshore/offshore Agile delivery model.
Roles & Responsibilities
- Design and develop scalable batch data pipelines in Azure Databricks using PySpark and Spark SQL.
- Build and maintain bronze silver and gold data structures including certified fact and dimension data products.
- Translate business metric definitions calculation rules filters granularity history and refresh requirements into technical designs.
- Create reusable transformations for HR domains such as retention hiring transfers promotions reviews hours and scheduling.
- Implement data-quality checks reconciliation exception handling auditability lineage and technical documentation.
- Eligible to workimize Spark workloads Delta tables joins partitions file sizes and cluster usage for performance and cost.
- Apply enterprise security and governance standards including Unity Catalog integration permissions sensitive-data handling and support for row-level access patterns.
- Coordinate with ingestion data governance modeling DevOps and Power BI teams to define clear data contracts and acceptance criteria.
- Contribute to CI/CD source control automated testing deployment operational monitoring and production-readiness activities.
- Participate in requirement workshops and explain technical choices clearly to business HR analytics and engineering stakeholders.
- Support knowledge transfer and mentor participating engineers or analysts
Disclaimer: Diverse Lynx LLC is an Equal Opportunity Employer. All applicants and employees are evaluated without discrimination based solely on their qualifications ability competence and performance. This email and its attachments may contain confidential or proprietary information and is intended only for the recipient(s). If you received this message in error please disregard it and notify the sender. If you no longer wish to receive our communications you may unsubscribe at any time.
Security Notice: Our official website is We do not operate or authorize any other websites representing Diverse Lynx LLC.
Required Experience:
IC
