I'm looking for Senior Data Engineer roles in the United States, specifically focusing on positions that require 6+ years of experience, expertise in Microsoft BI stack, and are full-time. I also need roles that do not require visa sponsorship.

Okay, I've searched for Senior Data Engineer roles in the United States that require at least 6 years of experience, expertise in the Microsoft BI stack, are full-time, and do not require visa sponsorship. I have found 87 positions for you.

Senior Data Engineer

United States

6 years + Experience

Microsoft BI

Full-time

Can you help me to analyze the job description and company culture?

Sure. Here's the analysis:

Job Analysis:

The role of Senior Data Engineer II at FinThrive primarily focuses on designing, developing, and supporting scalable data warehousing solutions that cater to the organization’s critical business requirements in healthcare revenue cycle management. The successful candidate is expected to collaborate closely with lead engineers and architects to ensure best practices are followed while balancing production and development environments. Key responsibilities include working with multiple data sources, creating sophisticated data manipulation scripts using Databricks, and resolving data quality issues that impact analytical capabilities. Given the context of FinThrive’s innovative technological landscape, this role necessitates a strategic thinker who can navigate complex data structures and comprehend the regulatory nuances in the healthcare industry. Success in this position will be defined by the engineer’s ability to optimize data processes, thereby improving performance and user satisfaction. Moreover, mentoring other developers and analysts underlines the expectation of leadership and knowledge sharing within the team.

Company Analysis:

FinThrive operates at the intersection of healthcare and advanced technology, aiming to streamline revenue cycle management for healthcare providers through innovative solutions. As a company positioned as a leader in this niche market, FinThrive’s endeavors to enhance healthcare organizations' operational efficiency and patient financial experience reflect a strong commitment to delivering transformative value. The company culture likely prioritizes agility and innovation, given its focus on evolving technology and addressing dynamic client needs in the healthcare sector. This environment suggests that the Senior Data Engineer II will play a critical role not just as a contributor, but as a strategic participant in shaping solutions that align with the company’s goals of revenue growth and process efficiency. The team structure within FinThrive seems collaborative, with significant opportunities for visibility and influence, especially relating to product development and customer outcomes. Thus, this role is strategically aligned with FinThrive's mission to leverage technology to create sophisticated solutions that meet the evolving challenges in healthcare.

Mock up some interview questions based on the job description.

Absolutely. Here are some mock interview questions that could come up:

Can you describe a challenging data warehousing project you were involved in and the specific role you played?
Tell me about a time when you identified and resolved a significant data quality issue.
Describe an experience where you had to mentor a colleague or team member. How did you approach it?
How do you handle tight deadlines while managing multiple data projects?
How would you design an ETL process to accommodate varied data sources while ensuring data integrity?
Can you walk me through your experience with Databricks and how you've utilized it in past projects?
What techniques do you employ to optimize large data sets for better performance?
How would you approach designing a data warehouse solution that needs to integrate with multiple external EHR systems?
Imagine you're faced with a situation where business needs change rapidly. How would you adapt your data solutions to meet these new requirements?
Why are you interested in working at FinThrive specifically, and how do you see yourself contributing to our mission?
How do your values align with FinThrive's focus on innovation and patient financial experience?
What aspects of our company culture appeal to you, and how do you see yourself thriving within it?
What questions do you have about the team dynamics here, particularly regarding collaboration on data projects?
What insights can you share about the importance of regulatory compliance in data warehousing for healthcare organizations?
Can you provide an example of how you've applied your knowledge of OLAP technologies in a previous role?

Job Details

Overview Company

Senior Data Engineer II

FinThrive

16 days ago

Highlight

RemoteFull-time6+ yearsSenior

Summary

FinThrive is seeking a Senior Data Engineer II to join their team remotely. The role involves designing, developing, and supporting highly scalable data warehousing solutions using the latest Microsoft BI tools.

About the Role

As a Senior Data Engineer II, you will participate in the analysis, design, development, deployment, and support of Data Warehouse solutions. You will work closely with the Lead and Architect to implement best practices and manage production and development/test environments. Your responsibilities include understanding business needs, developing scalable solutions, creating Databrick notebooks, stored procedures, SSIS packages, and optimizing processes involving large data sets. You will also mentor other developers and analysts.

About You

Required:

Bachelor’s Degree in Computer Science
6+ years of experience working directly with data warehouses and Business Intelligence
6+ years’ experience designing, developing, testing, and supporting ETL, and OLAP cubes
4+ years’ experience on Microsoft BI stack (SSIS, SSAS, and SSRS)
1+ years’ experience on Microsoft Azure data warehouse stack and/or Databricks or equivalent cloud
Advanced SQL Server programming and knowledge of data warehousing best practices
Working experience of OLAP technologies, and dimensional modeling
Working experience in Microsoft Azure Data Warehouse technologies such as Azure Data Factory, Polybase, U-SQL, SQL Data warehouse, Azure Analysis Services or equivalent
Excellent problem solving and analytical skills
Excellent verbal and written communication skills

Preferred:

2+ years’ experience on Microsoft Azure data warehouse stack and/or Databricks or equivalent cloud
.NET or Java programming skills
Healthcare Revenue Cycle Experience in a data science environment
Working experience in at least one of the BI tools (i.e., Power BI, Tableau, Spotfire, MicroStrategy)
Working experience in Databricks

FinThrive

FinThrive helps healthcare organizations increase revenue, reduce costs, expand cash collections, enhance the patient financial experience and ensure regulatory compliance with advanced, scalable technology. We’re making breakthroughs in revenue cycle management—building on a 35+ year legacy by developing award-winning solutions that adapt with healthcare professionals and seamlessly integrate with your EHR. Our RCM technology solutions span the revenue cycle continuum—patient access, charge integrity, claims management, contract management, revenue recovery—all supported by embedded AI and automation, data and analytics and educational resources.

FinThrive uniquely delivers a high-performance intelligence engine to healthcare providers that evolves with them, unlocking transformative value like efficiency, user satisfaction and revenue growth. With a flexible foundation and a deep solution set, we can help you identify gaps today and scale at your pace. Realize the power of the Platform Effect with cutting-edge tools that streamline processes and drive results. See why three out of five healthcare providers are using FinThrive today.

United States