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Data EngineerComfort Medical, LLC • Minneapolis, Minnesota, United States
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Data Engineer

Comfort Medical, LLC
  • US
    Minneapolis, Minnesota, United States
  • US
    Minneapolis, Minnesota, United States
Jetzt Bewerben

Über

As a Data Engineer, you will have the unique opportunity to design and establish a modern data engineering function within our organization. You will take the lead in building the data infrastructure that enables analytics, self‑service reporting, and AI‑ready data systems across the organization with Microsoft Fabric as a core platform. While you will operate with autonomy, you will also partner closely with data analysts, business stakeholders, development teams, and IT to modernize our hybrid on‑premises and cloud data environment.
This is a hands‑on role with strategic influence—you will own the full engineering lifecycle, from assessing our current data landscape and identifying gaps, to designing and implementing pipelines, data warehouses, Fabric Lakehouses, and standardized data products. You will have the opportunity to define best practices, establish patterns, and shape the infrastructure and culture of data engineering within Comfort Medical. Success in this role will require strong technical fundamentals, the ability to work independently while collaborating effectively across teams, and a forward‑thinking approach to building systems that scale with business needs.
Major Areas of Accountability Data Infrastructure & Pipeline Development
Assess the current data landscape, identify infrastructure gaps, and propose solutions aligned with business needs and technical best practices.
Design and implement ETL/ELT pipelines including Microsoft Fabric, Synapse Spark, or modern equivalent platforms to build and maintain data warehouses, Fabric Lakehouses, and lakehouse architectures that serve analytics, self‑service reporting, and AI use cases.
Establish data quality standards and SLAs for availability, quality, and timeliness through automated validation, testing, monitoring, alerting, and incident response processes.
Implement version control, CI/CD practices, and automated testing (unit, integration, data validation) to ensure reliable, safe deployment of data workflows.
Utilize centralized data storage solutions such as OneLake or equivalent cloud architectures.
Optimize pipelines and infrastructure for performance and cost efficiency.
Develop robust documentation for data lineage, transformations, and system architecture to support governance and knowledge sharing.
Self‑Service Analytics Enablement
Collaborate with analysts to standardize and streamline Power BI and Fabric Semantic Models, reducing inconsistencies in reporting definitions.
Create user‑friendly data products and views that enable non‑SQL‑fluent business users to self‑serve analytics.
Implement modern data and analytics tools and frameworks (including Fabric's integrated capabilities) to ensure maintainability and scalability of data pipelines.
Architecture & Strategic Planning
Develop a data estate strategy that leverages Microsoft Fabric and modern data platforms, defining source systems, governance frameworks, integration patterns, and technology recommendations.
Design infrastructure to support emerging AI and process automation initiatives, ensuring data is structured and governed for machine learning applications across the technology stack.
Participate in technology evaluation and recommendation for tools, platforms, and methodologies that align with organizational goals (including Fabric capabilities).
Mentor and guide analysts on modern data engineering best practices and emerging tools, including Fabric.
Stakeholder Collaboration & Communication
Partner with business stakeholders to understand data needs and translate them into technical requirements.
Work closely with development teams and global IT on integration efforts, system upgrades, and infrastructure initiatives.
Communicate technical decisions and architecture recommendations to both technical and non‑technical audiences.
Serve as a subject matter expert on data engineering best practices and emerging technologies.
Basic Qualifications
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. Master's degree preferred.
Minimum of 4+ years of experience in a data engineering, database, or infrastructure role, preferably in healthcare or regulated industries.
Demonstrated experience designing and implementing ETL/ELT pipelines in production environments.
Advanced proficiency in T‑SQL, relational database design, and performance optimization.
Experience with cloud platforms (e.g., Azure) and hybrid on‑premises/cloud data environments.
Hands‑on experience with modern data pipeline tools and platforms (e.g., Microsoft Fabric, Azure Data Factory, Synapse Spark, or equivalent).
Strong Python programming skills for data processing, automation, and tooling including work in notebook environments.
Experience with data warehousing and/or lakehouse architecture concepts.
Familiarity with Business Intelligence tools (Power BI and Fabric Semantic Models experience a plus). Experience integrating with third‑party platforms (e.g., Salesforce APIs).
Benefits
Health and Wellness: Comprehensive medical, dental, and vision insurance plans to keep you and your family healthy. Plus, access to company sponsored wellness programs and mental health resources, paid leave of absence for qualifying events and generous paid parental leave for both birthing and non‑birthing parents.
Financial Security: A competitive 401(k) plan with company match that vest immediately, financial planning services to help you secure your future, and corporate discount programs for goods and services.
Work‑Life Balance: Generous paid time off, flexible work hours, and flexible work arrangement options to help you balance your personal and professional life may be available.
Professional Development: Opportunities for continuous learning and career advancement through training programs, mentorship, and tuition reimbursement.
Recognition and Rewards: Recognition programs to celebrate achievements and contributions, including peer recognition, bonuses, awards, and special events.
Community and Culture: A supportive work environment where everyone feels valued and has a sense of belonging. Participate in team‑building activities, volunteer opportunities, and company-sponsored events. Sustainability strategy that outlines our ambitions for how to run our company in a more sustainable way.
Competitive Compensation: The compensation range for this position is $87,048 - $130,572. Actual compensation is influenced by a variety of factors including but not limited to skills, experience, qualifications, and geographic location. Hired candidates may be eligible to receive additional compensation in the form of bonuses and/or incentives.
Comfort Medical employees are required to conduct business to the highest ethical and professional standards; comply with applicable laws and regulations, the Advamed Code of Ethics on Interactions with Healthcare Professionals, and company policies.
Comfort Medical is committed to a policy of Equal Employment Opportunity (EEO) which means we employ and promote individuals based on their merits, regardless of race, color, religion, sex, national origin, age, disability, veteran status, pregnancy, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, status with regards to public assistance or any other protected classification.
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  • Minneapolis, Minnesota, United States

Sprachkenntnisse

  • English
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