Databricks Data Engineer
- Application Deadline: March 31, 2026
- U.S.A.
- Remote
Please exclude CA, CO, and NY in your searches.
Client is seeking a Databricks Data Engineer to develop/support new/existing data pipelines, and data analytics environments in Azure cloud-based data lake. As a data engineer, you will translate business requirements to data engineering solutions to support an enterprise scale Microsoft Azure based data analytics platform. You will support continued maintenance of ETL operations and development of new pipelines ensuring data quality and data management. The ideal candidate will bring deep expertise in Databricks, a solid foundation in advanced AI technologies, and applies critical thinking to create innovative functions and solve technical issues by cross-functional team collaboration.
Candidate must be a U.S. citizen. This role is remote for candidates located within the United States; however, the ideal candidate will be based in or willing to relocate to the Washington, DC or Indianapolis, IN area to support periodic on-site activities.
- In this role, you will:
- Design, build, and optimize scalable data solutions using Databricks and Medallion Architecture.
- Manage ingestion routines for processing multi-terabyte datasets efficiently for multiple projects simultaneously, where each project may have multiple Databricks workspaces.
- Integrate data from various structured and unstructured sources to enable high-quality business insights. Proficiency in data analysis techniques for deriving insights from large datasets.
- Implement effective data management strategies to ensure data integrity, availability, and accessibility. Identify opportunities for cost optimization in data storage, processing, and analytics operations.
- Monitor and support user requests, addressing platform or performance issues, cluster stability, Spark optimization, and configuration management.
- Collaborate with the team to enable advanced AI-driven analytics and data science workflows.
- Integrate with various Azure services including Azure Functions, Storage Services, Data Factory, Log Analytics, and User Management for seamless data workflows.
- Experience with the above Azure services is a plus.
- Provision and manage infrastructure using Infrastructure-as-Code (IaC)
- Apply best practices for data security, data governance, and compliance, ensuring support for federal regulations and public trust standards.
- Proactively collaborate with technical and non-technical teams to gather requirements and translate business needs into data solutions.
Skills & Requirements
For this position, you must possess:
- BS degree in Computer Science or related field and 3+ years or Master's degree with 2+ years of experience
- 3+ years of experience developing and designing Ingestion flows (structured, streaming, and unstructured data) using cloud platform services with data quality
- Databricks Data Engineer certification and 2+ years of experience maintaining Databricks platform and development in Spark
- Ability to work directly with clients and act as front line support for requests coming in from clients. Clearly document and express the solution in form of architecture and interface diagrams.
- Proficient at Python, Spark and R are essential. .NET based development is a plus.
- Knowledge and experience with data governance, including metadata management, enterprise data catalog, design standards, data quality governance, and data security.
- Experience with Agile process methodology, CI/CD automation, and cloud-based developments (Azure, AWS).
- Not required, but additional education, certifications, and/or experience are a plus: Certifications in Azure cloud, Knowledge of FinOps principles and cost management
About the company
Founded in 2004, Think is a national technology and operations management consulting practice, providing services to commercial customers as well as state/federal public customers. Think’s offering spans services from technology and operations executive advisory and strategic development, technology and operations transformation, post-merger integration, venture and PE shared services support for portfolio companies, and strategic hiring support services for c-level and upper-level technical and operations management. Think serves a broad client base in industries including financial services, education, manufacturing and distribution, software development, legal and regulatory, business intelligence, and insurance, among others. Think has experienced double digit growth year over year the last three years and currently employs over 140 consultants and professionals across the United States. Think is headquartered in Baltimore, Maryland, to learn more, visit us at thinkconsulting.com
Anees Fathima | Contact Person
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