Data Engineer Level 3
Job in
Blue Ash, Hamilton County, Ohio, USA
Listing for:
LeadStack
Full Time
position
Listed on 2026-01-01
Job specializations:
-
IT/Tech
Data Engineer, Cloud Computing
Salary/Wage Range or Industry Benchmark: 90 USD Hourly
USD
90.00
HOUR
Job Description & How to Apply Below
Lead Stack Inc. is an award-winning, one of the nation's fastest-growing, certified minority-owned (MBE) staffing services provider of contingent workforce. As a recognized industry leader in contingent workforce solutions and Certified as a Great Place to Work, we're proud to partner with some of the most admired Fortune 500 brands in the world.
Job Title:
Databricks Technical Lead
Location - Cincinnati, OH, or Charlotte, NC, office, with the ability to work in a hybrid model (in-office Monday to Thursday).
Max Rate - $90/hr on W2
Job Summary:
We are seeking a seasoned Databricks Technical Lead to join our HR Systems Engineering team. This role is pivotal in enhancing the experience of over 420,000 associates by leading the design, build, and optimization of our data platform, services, APIs, and cloud migrations.
As a product-centric role within an agile delivery framework, you will ensure our data solutions align with business objectives and deliver tangible value. Join us in an organization recognized as one of the best places to work in IT for seven consecutive years.
Required Qualifications:
10+ years of experience in data engineering, big data, or API development, with at least 3+ years in a leadership role.Proven experience leading product-centric data engineering initiatives in an agile delivery environment.Expertise in Azure Databricks, Apache Spark, Azure SQL, and other Microsoft Azure services.Strong programming skills in Python, Scala, and SQL for data processing and API development.Experience in building and managing APIs (REST, Graph
QL, gRPC) and microservices.Hands-on experience with Azure Data Factory (ADF), Azure Synapse Analytics, and Delta Lake.Proficiency in CI/CD pipelines, Terraform/Bicep, and Infrastructure-as-Code.Experience with data security and compliance measures (e.g., encryption, access control, auditing) for sensitive HR and employee data.Strong problem-solving skills, with a focus on performance tuning, security, and cost optimization.Experience with containerization (Docker, Kubernetes) and event-driven architecture is a plus.Exposure to Informatica for ETL/ELT and data integration.Excellent communication and leadership skills in a fast-paced environment.This is a contract-to-hire position, and candidates must be prepared to transition to a full-time employee role.Preferred Qualifications:
Microsoft Certified:
Azure Solutions Architect Expert or Databricks Certified Data Engineer/Architect certification.Experience with agile development methodologies such as Scrum or SAFe.Familiarity with machine learning workflows in Azure Databricks.Knowledge of Azure API Management and Event Hub for API integration.Experience with Informatica Power Center or Informatica Intelligent Cloud Services (IICS).Hands-on experience with Oracle HCM database models and APIs, including integrating this data into enterprise data solutions.Experience with HR Analytics.Key Responsibilities:
Develop and maintain the HR data domain in a secure, compliant, and efficient manner in accordance with best practices.Lead the development of a data engineering team responsible for designing scalable, high-performance data solutions, APIs, and microservices in Azure Databricks, Azure SQL, and Informatica.Ensure the highest levels of security and privacy regarding sensitive data.This is a job for an exceptional professional who deeply understands big data processing, data architecture, cloud migrations, API development, data security, and agile methodologies in the Azure ecosystem.Azure Databricks & Big Data Architecture:
Design and implement scalable data pipelines and architectures on Azure Databricks.Optimize ETL/ELT workflows, ensuring efficiency in data processing, storage, and retrieval.Leverage Apache Spark, Delta Lake, and Azure-native services to build high-performance data solutions.Ensure best practices in data governance, security, and compliance within Azure environments.Troubleshoot and fine-tune Spark jobs for optimal performance and cost efficiency.Azure SQL & Cloud Migration:
Lead the migration of Azure SQL to Azure Databricks, ensuring a seamless transition of data workloads.Design and…
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
Search for further Jobs Here:
