Doran Jones Visa Sponsorship USA
Doran Jones is a technology and financial services firm with a history of sponsoring skilled foreign workers through the H-1B program. For tech professionals seeking U.S. work authorization, Doran Jones represents a targeted opportunity in a sector where sponsorship is part of the hiring conversation.
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Get Access To All JobsWe are seeking a hands-on Data Engineer with strong Databricks and PySpark experience to build scalable data pipelines and analytics applications within a modern data platform.
This role focuses on modernizing legacy ETL and reporting systems (Teradata, Informatica, Tableau) into Databricks-native pipelines, dashboards, and Python-based data applications. The ideal candidate operates across both data engineering and lightweight application development.
Responsibilities
- Design, develop, and maintain scalable data pipelines using PySpark on Databricks
- Build analytics data models and transformation workflows for enterprise reporting and analytics
- Migrate legacy ETL workloads from platforms such as Informatica and Teradata to Databricks
- Develop Databricks-native dashboards and analytics applications to replace traditional BI tools
- Build lightweight Python-based data applications (e.g., FastAPI) to expose and interact with data
- Integrate Databricks pipelines with APIs and application services
- Implement Slowly Changing Dimensions (SCD) and dimensional data modeling techniques
- Develop reusable data engineering frameworks and standardized pipelines
- Optimize Spark workloads for performance, scalability, and cost efficiency
- Collaborate with analytics and business teams to deliver user-facing data solutions
- Leverage AI-assisted coding tools (e.g., Copilot, ChatGPT) to improve development productivity
- Contribute to best practices for modern data engineering and analytics application development
Required Experience
- 5+ years of hands-on experience building data pipelines using PySpark in production environments
- Strong experience with the Databricks platform (workspaces, clusters, Jobs & Workflows, Unity Catalog)
- Experience building analytics dashboards within Databricks (Databricks SQL)
- Proven experience designing and building scalable ETL/ELT data pipelines
- Strong Python development skills, including building REST APIs or data services
- Experience building or supporting data-driven applications (not just traditional ETL pipelines)
- Solid understanding of data modeling, including dimensional modeling and transformation patterns
- Experience using AI-assisted development tools (e.g., Copilot, ChatGPT) in engineering workflows
- Exposure to LLM integration or an AI-powered data application
- Familiarity with cloud platforms (AWS, Azure, or GCP)
Preferred Experience
- Experience migrating from legacy platforms: Informatica Databricks / Spark; Teradata cloud-native data platforms; Tableau (or similar)
- Experience with FastAPI or similar Python frameworks for data applications
- Exposure to CI/CD pipelines for data engineering workflows
- Understanding of microservices architecture and scalable application design
- Experience in Healthcare Payor domain (e.g., claims processing, member data, provider data, eligibility, or billing systems)
McLaren Strategic Solutions is a leading-edge global technology consulting firm, addressing critical challenges across industries such as retail, financial services, and healthcare. Integrating a powerful ecosystem of platforms with capital-efficient execution, McLaren specializes in digital transformation to help businesses optimize operations, accelerate revenue, and achieve scalable outcomes. McLaren’s expertise spans the development of customer-centric applications, modernizing systems for cost-effectiveness and security, and leveraging cloud scalability for future-ready architectures. With a deep commitment to operational excellence, McLaren provides comprehensive managed services, including application maintenance, cybersecurity, platform solutions, and AI-optimized operations, ensuring seamless, secure, and efficient performance.
From supply chain automation to compliance and analytics, McLaren drives measurable impact: improving workforce productivity, reducing inventory costs, and cutting technology ownership expenses. With its emphasis on automation and zero business downtime, McLaren facilitates seamless migrations from legacy systems to modern platforms, enabling organizations to harness the full potential of digital transformation. Backed by strategic partnerships and a proven delivery model, McLaren empowers clients to innovate, modernize, and achieve lasting success in today’s digital economy.
McLaren is a certified minority owned business through the NMSDC and has a mission to place more people from non-traditional backgrounds into sustainable technology careers. Through partnerships with non-profit technology programs in underserved communities and Veteran organizations, candidates transition from tech training programs into real IT careers at McLaren. Our unique recruitment policy allows us to create exceptional teams, bringing a broad spectrum of experience to our company and creating anything but a traditional consulting firm.
Doran Jones Inc. is proud to be part of the McLaren Strategic Ventures Group.
We are seeking a hands-on Data Engineer with strong Databricks and PySpark experience to build scalable data pipelines and analytics applications within a modern data platform.
This role focuses on modernizing legacy ETL and reporting systems (Teradata, Informatica, Tableau) into Databricks-native pipelines, dashboards, and Python-based data applications. The ideal candidate operates across both data engineering and lightweight application development.
Responsibilities
- Design, develop, and maintain scalable data pipelines using PySpark on Databricks
- Build analytics data models and transformation workflows for enterprise reporting and analytics
- Migrate legacy ETL workloads from platforms such as Informatica and Teradata to Databricks
- Develop Databricks-native dashboards and analytics applications to replace traditional BI tools
- Build lightweight Python-based data applications (e.g., FastAPI) to expose and interact with data
- Integrate Databricks pipelines with APIs and application services
- Implement Slowly Changing Dimensions (SCD) and dimensional data modeling techniques
- Develop reusable data engineering frameworks and standardized pipelines
- Optimize Spark workloads for performance, scalability, and cost efficiency
- Collaborate with analytics and business teams to deliver user-facing data solutions
- Leverage AI-assisted coding tools (e.g., Copilot, ChatGPT) to improve development productivity
- Contribute to best practices for modern data engineering and analytics application development
Required Experience
- 5+ years of hands-on experience building data pipelines using PySpark in production environments
- Strong experience with the Databricks platform (workspaces, clusters, Jobs & Workflows, Unity Catalog)
- Experience building analytics dashboards within Databricks (Databricks SQL)
- Proven experience designing and building scalable ETL/ELT data pipelines
- Strong Python development skills, including building REST APIs or data services
- Experience building or supporting data-driven applications (not just traditional ETL pipelines)
- Solid understanding of data modeling, including dimensional modeling and transformation patterns
- Experience using AI-assisted development tools (e.g., Copilot, ChatGPT) in engineering workflows
- Exposure to LLM integration or an AI-powered data application
- Familiarity with cloud platforms (AWS, Azure, or GCP)
Preferred Experience
- Experience migrating from legacy platforms: Informatica Databricks / Spark; Teradata cloud-native data platforms; Tableau (or similar)
- Experience with FastAPI or similar Python frameworks for data applications
- Exposure to CI/CD pipelines for data engineering workflows
- Understanding of microservices architecture and scalable application design
- Experience in Healthcare Payor domain (e.g., claims processing, member data, provider data, eligibility, or billing systems)
McLaren Strategic Solutions is a leading-edge global technology consulting firm, addressing critical challenges across industries such as retail, financial services, and healthcare. Integrating a powerful ecosystem of platforms with capital-efficient execution, McLaren specializes in digital transformation to help businesses optimize operations, accelerate revenue, and achieve scalable outcomes. McLaren’s expertise spans the development of customer-centric applications, modernizing systems for cost-effectiveness and security, and leveraging cloud scalability for future-ready architectures. With a deep commitment to operational excellence, McLaren provides comprehensive managed services, including application maintenance, cybersecurity, platform solutions, and AI-optimized operations, ensuring seamless, secure, and efficient performance.
From supply chain automation to compliance and analytics, McLaren drives measurable impact: improving workforce productivity, reducing inventory costs, and cutting technology ownership expenses. With its emphasis on automation and zero business downtime, McLaren facilitates seamless migrations from legacy systems to modern platforms, enabling organizations to harness the full potential of digital transformation. Backed by strategic partnerships and a proven delivery model, McLaren empowers clients to innovate, modernize, and achieve lasting success in today’s digital economy.
McLaren is a certified minority owned business through the NMSDC and has a mission to place more people from non-traditional backgrounds into sustainable technology careers. Through partnerships with non-profit technology programs in underserved communities and Veteran organizations, candidates transition from tech training programs into real IT careers at McLaren. Our unique recruitment policy allows us to create exceptional teams, bringing a broad spectrum of experience to our company and creating anything but a traditional consulting firm.
Doran Jones Inc. is proud to be part of the McLaren Strategic Ventures Group.
Job Roles at Doran Jones Companies
How to Get Visa Sponsorship in Doran Jones Visa Sponsorship USA
Target Technology and Engineering Roles
Doran Jones operates in Technology and Software, where H-1B sponsorship is most common. Focus your application on technical roles, software development, systems engineering, or IT consulting, where the specialty occupation requirement is easiest to satisfy.
Understand the H-1B Timeline Early
H-1B sponsorship at Doran Jones means your start date is tied to the annual lottery cycle. Engage with recruiters well before April so both sides understand the timeline and your employer can file a registration in time.
Demonstrate Degree-to-Role Alignment
H-1B approval depends on proving your degree directly relates to the offered position. When applying to Doran Jones, clearly articulate how your educational background maps to the specific technical role, vague alignment can complicate the petition.
Ask Directly About Sponsorship Willingness
Not every open role at a sponsor company is eligible for visa support. When reaching out to Doran Jones recruiters, ask explicitly whether the specific position is approved for H-1B sponsorship before investing significant time in the process.
Highlight Specialized Technical Skills
Doran Jones works across technology and software delivery. Candidates who bring niche, in-demand skills, cloud architecture, data engineering, or fintech-adjacent development, are stronger sponsorship candidates because the business case for sponsorship is clearer.
Browse Verified Sponsorship Opportunities on Migrate Mate
Finding employers with a real H-1B track record takes research. Migrate Mate surfaces verified sponsors so you can filter by actual sponsorship history and target companies like Doran Jones with confidence instead of guessing.
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Get Access To All JobsFrequently Asked Questions
Does Doran Jones sponsor H-1B visas?
Yes, Doran Jones sponsors H-1B visas. The company operates in the Technology and Software sector, which is one of the most common industries for H-1B sponsorship. If you're a foreign national in a qualifying specialty occupation role, Doran Jones has demonstrated a willingness to support the H-1B petition process for eligible candidates.
Which roles at Doran Jones are most likely to receive visa sponsorship?
Roles in software development, technology consulting, systems engineering, and IT delivery are the most likely candidates for H-1B sponsorship at Doran Jones. These positions align with the specialty occupation standard the H-1B requires, meaning a specific degree field tied directly to the job function. Business, operations, or administrative roles are less commonly sponsored.
What is the typical sponsorship and hiring timeline at Doran Jones?
If you need H-1B sponsorship, the timeline is driven by the annual USCIS lottery, which opens in March for an October 1 start date. You'll want to have an offer in place by late February at the latest. Connecting with Doran Jones recruiters in Q4 of the prior year gives you the best chance of moving through interviews before the registration window opens.
How do I find open H-1B sponsored jobs at Doran Jones?
Migrate Mate is the most efficient way to find roles at companies like Doran Jones with verified H-1B sponsorship history. Rather than filtering through job postings that don't disclose sponsorship willingness, Migrate Mate lets you search specifically for employers with a documented track record, so you're applying where your visa situation is already part of the hiring conversation.
How do I strengthen my application to Doran Jones as a visa applicant?
Lead with technical depth. Doran Jones operates in a space where specialized skills justify the sponsorship investment, so make your degree-to-role alignment explicit in your resume and cover letter. Confirm sponsorship availability for the specific role early in the recruiter conversation, understand the H-1B lottery timing, and be prepared to explain your current visa status and work authorization clearly.
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