healthcare data engineer

nimble solutions

<div>
 Job Type
 
 
 Full-time
 
 
 
 Description
 
 
 
 
 Data Engineer
 
 
 
 Chesterfield Office Hybrid or Remote
 
 
 
 Why You'll Want to Join!
 
 
 
 Join a leading Revenue Cycle Management (RCM) company dedicated to transforming healthcare data into actionable insights. We leverage cutting-edge technology to streamline financial and operational processes, improving efficiency and patient outcomes. We are looking for a
 
 Data Engineer
 
 to help optimize data pipelines and build a next-generation data infrastructure incorporating technologies such as
 
 Microsoft Fabric, Azure Synapse, Databricks, and Snowflake
 
 .
 
 
 
 Position Overview
 
 
 
 Lead the modernization of our data infrastructure as a Data Engineer for nimble. You'll architect scalable cloud-native pipelines using Microsoft Fabric and Databricks to transform healthcare data&mdash;claims, EMR/EHR, HL7/FHIR&mdash;into actionable insights that drive revenue cycle optimization and clinical outcomes.
 
 
 
 Why This Role Matters
 
 
 
 Healthcare data engineering is mission-critical: clean, governed data flows directly impact financial accuracy, compliance, and the decisions that improve patient care. Your ETL/ELT pipelines enable our analytics and data science teams to unlock the full potential of healthcare data.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, build, and optimize ETL/ELT pipelines using Azure Synapse, Databricks, and Snowflake
 </li>
 <li>
 Develop robust data models and schemas for healthcare datasets, including claims, EMR/EHR, HL7, and FHIR standards
 </li>
 <li>
 Write and optimize SQL queries for performance across large healthcare datasets
 </li>
 <li>
 Implement data governance, quality frameworks, and HIPAA compliance controls
 </li>
 <li>
 Collaborate with analytics, data science, and business teams to define data requirements
 </li>
 <li>
 Monitor and troubleshoot data pipeline health and performance
 </li>
 <li>
 Develop Python or Scala code for complex transformations and data processing
 </li>
 <li>
 Support Power BI and analytics teams with data modeling and performance optimization
 </li>
 <li>
 Document data lineage, transformations, and technical architecture
 
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 3+ years of professional data engineering or ETL/ELT development experience
 </li>
 <li>
 Expert-level SQL skills with proven optimization experience
 </li>
 <li>
 Proficiency in Python, Scala, or similar data processing languages
 </li>
 <li>
 Hands-on experience with cloud data platforms (Azure Synapse, Snowflake, Databricks, or equivalent)
 </li>
 <li>
 Understanding of healthcare data standards (HL7, FHIR, claims data structures)
 </li>
 <li>
 Strong grasp of data modeling, normalization, and schema design
 </li>
 <li>
 Experience with data versioning, CI/CD pipelines, and data quality frameworks
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with Microsoft Fabric or Azure Data Factory
 </li>
 <li>
 Knowledge of HIPAA compliance and healthcare data security
 </li>
 <li>
 Background in healthcare, RCM, or claims processing
 </li>
 <li>
 Experience with dbt (data build tool) or equivalent transformation frameworks
 </li>
 <li>
 Exposure to dimensional modeling and data warehousing best practices
 
 
 
 </li>
 </ul>
 
 What Success Looks Like
 
 
 
 <ul>
 <li>
 In 90 days: Deploy first cloud pipeline to production; complete HIPAA training; establish data quality baseline metrics
 </li>
 <li>
 In 6 months: Reduce data pipeline latency by 30%; expand healthcare data models to include new sources; build reusable transformation components
 </li>
 <li>
 Ongoing: Maintain 99.5%+ pipeline uptime; mentor junior engineers; drive architectural improvements for scale and performance
 </li>
 </ul>
</div>

Data Engineer

Urology Centers of Alabama

<div><div>General Summary
<div>The Healthcare Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and analytics infrastructure for Urology Centers of Alabama, P.C. This role ensures the reliable integration of clinical, revenue cycle, and operational data from multiple systems to support reporting, analytics, compliance, and strategic decision-making across the organization. The Data Engineer partners closely with clinical, revenue cycle, finance, and IT teams to ensure data accuracy, availability, and security in a regulated healthcare environment.
Essential Functions
<div><ul><li>Data Architecture &amp; Engineering</li><li>
Design, develop, and maintain data pipelines that integrate data from EMRs, practice management systems, billing platforms, payer files, and ancillary systems</li><li>
Build and manage data warehouses, data marts, and structured datasets to support clinical, financial, and operational reporting</li><li>
Optimize data performance, reliability, and scalability across analytics platforms</li><li>
Healthcare Systems Integration</li><li>
Extract, transform, and load (ETL) data from healthcare systems including EMR, revenue cycle, scheduling, and financial systems</li><li>
Ensure accurate mapping of clinical and financial data elements such as CPT, ICD-10, HCPCS, modifiers, charges, payments, and adjustments</li><li>
Support interoperability standards such as HL7, FHIR, and flat-file payer feeds where applicable</li><li>
Data Quality, Governance &amp; Compliance</li><li>
Implement data validation, auditing, and reconciliation processes to ensure data integrity across systems</li><li>
Partner with Revenue Cycle, Compliance, and Clinical teams to support auditing, reimbursement analysis, and regulatory reporting</li><li>
Ensure data security, access controls, and HIPAA compliance across all data environments</li><li>
Analytics &amp; Reporting Enablement</li><li>
Enable dashboards and reporting for key performance areas including revenue cycle performance, provider productivity, quality metrics, and operational efficiency</li><li>
Support advanced analytics initiatives such as denial analysis, reimbursement variance tracking, capacity utilization, and physician performance reporting</li><li>
Collaborate with analysts and business stakeholders to translate reporting needs into scalable data solutions</li><li>
Collaboration &amp; Continuous Improvement</li><li>
Work closely with IT, EMR administrators, vendors, and business leaders to support system upgrades and new implementations</li><li>
Document data models, pipelines, and data definitions to support transparency and sustainability</li><li>
Identify opportunities to automate manual reporting and improve data accessibility across Urology Centers of Alabama, P.C.</li></ul>
Physical Demands
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
While performing the duties of this job, the employee is occasionally required to stand; walk; sit, handle, or feel objects, tools, or controls; reach with hands and arms; stoop, kneel, crouch, or crawl; and talk or hear. The employee must occasionally lift and/or move more than 45 pounds.
Supervisory Requirements
This position will not supervise employees.
</div></div></div>Minimum Qualifications
<ul><li>Bachelor&rsquo;s degree in Computer Science, Data Engineering, Information Systems, or related field (required)</li></ul>
<ul><li>Healthcare analytics or informatics education preferred</li></ul>
<ul><li>3&ndash;7 years of experience in data engineering or analytics engineering</li><li>
Experience working with healthcare data, preferably in a physician practice or multi-specialty environment</li><li>
Hands-on experience integrating EMR and revenue cycle data</li></ul>
Preferred Qualifications<div>
</div><div><ul><li>Strong SQL skills and experience with relational databases (e.g., SQL Server, PostgreSQL, Oracle)</li><li>
Experience with ETL tools and data pipeline frameworks</li><li>
Familiarity with cloud data platforms (Azure, AWS, or GCP preferred)</li><li>
Experience with healthcare data standards (CPT, ICD-10, HL7, FHIR)</li><li>
Knowledge of BI tools (Power BI, Tableau, or similar)</li></ul></div><div>
</div>Licensure, Certification, Registration Requirements
None.</div>

Montefiore Einstein

<div>City/State:
Yonkers, New York
Grant Funded:
No
Department:
D&amp;A - Data &amp; Analytics
Work Shift:
Day
Work Days:
MON-FRI
Scheduled Hours:
8:30 AM-5 PM
Scheduled Daily Hours:
7.5 HOURS
Pay Range:
$116,000.00-$145,000.00 
 
Montefiore is ranked among the top hospitals nationally and regionally by U.S. News &amp; World Report. For more than 100 years we have been innovating new treatments, procedures, and approaches to patient care, producing stellar outcomes and raising the bar for academic medical centers in the region and around the world. Our work to improve health outcomes in underserved communities is unparalleled in the United States. Our workforce is among the most diverse in the US: Montefiore associates speak 60+ languages.
As Montefiore has built paths to deliver lifesaving health outcomes to underserved communities, we are looking to the future of being a data driven organization and tech-enabled care delivery to create better experiences for patients, providers, and operations teams. Montefiore is actively investing in its data &amp; analytics driven solutions as a new system-level priority, and we are seeking data experts who are excited to create a tangible impact with the healthcare system.
The Data Engineer role within the data engineering vertical will play a pivotal role at the forefront of our data and analytics technology transformation initiatives. We are seeking for an expert data engineer to develop, enhance, and support a wide variety of data pipelines integrating data feeds from diverse internal and external sources. You will enhance our suite of enterprise data products supporting business cases across the Montefiore health system. This role will work with complex data solutions in a fast-paced, rapidly evolving landscape answering critical business and clinical questions. This role is critical to scaling our data and insights capabilities, empowering teams with actionable insights, and supporting our mission to improve Patient healthcare.
Responsibilities include:
<ul><li>Design, build, and automate robust, scalable data pipelines for ingesting, transforming, and loading both structured and unstructured data from diverse internal and external data sources
</li></ul><ul><li>Design, Develop and support data models and schemas to support data integration and analysis
</li></ul><ul><li>Implement CI/CD pipelines and best practices for data engineering assets, supporting robust deployment, monitoring, and version control.
</li></ul><ul><li>Design and implement of rules driven data quality components that supports enhanced observability, transparency, and robust remediation workflows, enabling rapid identification and resolution of data issues
</li></ul><ul><li>Collaborate with product managers, data scientists, BI developers, and application teams, to understand data requirements and translate them into technical solutions
</li></ul>Qualifications include:
<ul><li>Minimum of 5+ years of rich experience in data engineering, modern data architecture patterns, developing and supporting high-volume data pipelines, while ensuring data availability and accuracy
</li></ul><ul><li>At least 2+ years of solid experience in Snowflake development, and SQL is a must.
</li></ul><ul><li>Experience with cloud-based ELT Toolsets like Matillion, dbt cloud and data transformation components using Python SDK
</li></ul><ul><li>Expertise in translating complex clinical, operational, financial, and administrative datasets into enterprise-grade data products, data modeling techniques, and performance analysis &amp; tuning.
</li></ul>&bull; Experience with AWS Cloud, S3, DevOps and Git management &bull; Experience with EPIC Cogito Analytics stack (Clarity, Caboodle etc.) is preferred
<ul><li>Knowledge in healthcare preferably in a health system domain
</li></ul><ul><li>Bachelor&rsquo;s or master&rsquo;s degree in computer science, Engineering or similar.
</li></ul>Competencies:
<ul><li>Ability to think strategically and drive structured execution
</li></ul><ul><li>Structured, linear thinker that can conduct business outcome diagnostics and identify highest value business opportunities
</li></ul><ul><li>Strong facilitation skills to help business leaders identify their most important business questions
</li></ul><ul><li>Exhibits excellent judgment, especially when working with ambiguity.
</li></ul><ul><li>Sets stretch goals and work to exceed goals with a focus for results.
</li></ul><ul><li>Has the innate ability to gain the confidence of and build strong relationships with executives, peers, management and subordinates alike.
</li></ul><ul><li>Excellent business-facing presentation skills
</li></ul>Montefiore Health System, Inc. is an equal employment opportunity employer. Montefiore Health System, Inc. will recruit, hire, train, transfer, promote, layoff and discharge associates in all job classifications without regard to their race, color, religion, creed, national origin, alienage or citizenship status, age, gender, actual or presumed disability, history of disability, sexual orientation, gender identity, gender expression, genetic predisposition or carrier status, pregnancy, military status, marital status, or partnership status, or any other characteristic protected by law.</div>

DaVita

<div>Posting Date
04/13/2026
2000 16th St, Denver, Colorado, 80202-5117, United States of America
The Gemini Data &amp; Analytics team supports DaVita Integrated Kidney Care (DaVita IKC). DaVita IKC is the renal population health management division of DaVita serving approximately 70,000 end-stage renal disease (ESRD) and late-stage chronic kidney disease (CKD) patients across the U.S. A key component of DaVita&rsquo;s integrated care strategy is our healthcare analytics team, responsible for developing and communicating advanced data analytics to inform program performance and model of care design.
As a member of this team, you will be responsible for monitoring and communicating the performance of our value-based care programs. This includes developing reports and performing analysis to measure the model of care execution and understand the impact on program outcomes.
This role will work with teammates across various teams, ranging from analysts to clinicians and operators to executive leaders. The environment is highly collaborative and team-oriented with a focus on both professional and personal growth.
In addition to this, you will play a key role in supporting and informing the team&rsquo;s approach to Tableau development through creating and publishing data sources, performing Tableau site administrator duties, and communicating with stakeholders.
The Sr. Data Engineer will work with teammates across various teams, ranging from peers to clinicians and operators to executive leaders. The environment is highly collaborative and team-oriented, with a differential focus on both professional and personal growth.
ESSENTIAL DUTIES AND RESPONSIBILITIES
The Sr. Data Engineer must be able to work successfully with cross-functional teams and have the maturity to interact directly with both peers and executives across departments. The following duties and responsibilities generally reflect the expectations of this position, but are not intended to be all-inclusive.<ul><li>SQL Development</li></ul><ul><li><ul><li>
Write SQL queries against data warehouses containing clinical operations and medical claims data to support analytic requests and delivery of summarized outcomes and insights</li><li>
Develop summary level reporting to assist operations leaders in monitoring care team performance and understanding areas of success or opportunity
</li><li>Leverage reporting and supporting data to troubleshoot operations performance and identifying insights around clinical, demographic and medical cost trends and contribution to outcomes</li><li>
Partner with stakeholders to define technical and business requirements for reporting and analytic requests</li><li>
Support and troubleshoot reporting and datasets to facilitate consistent interpretation of program performance to DaVita IKC leadership</li><li>
Create and maintain technical documentation to support work processes</li></ul></li><li>
Data Engineering<ul><li>
Data pipeline development &amp; ETL/ELT</li><li>
Data modeling &amp; architecture</li><li>
Data quality &amp; governance</li></ul></li><li>
Tableau Development<ul><li>
Understand business needs/challenges and translate them to assist developers in creating scalable solutions to requests</li><li>
Perform thorough quality assurance assessments of in progress and completed projects</li><li>
Create, maintain, and distribute reports that play a key role in evaluating performance and informing care model decisions</li><li>
Utilize SQL and relational database experience to develop and publish Tableau data sources used across multiple reports</li><li>
Develop and maintain procedures that support the team&rsquo;s reporting capabilities, including coaching developers on accepted best practices</li></ul></li><li>
Communication<ul><li>
Create and maintain report documentation</li><li>
Present and communicate reports to various stakeholders including executive leadership and clinical teammates</li><li>
Succinctly and clearly convey findings from reports and analyses</li></ul></li><li>
Provide Analytical Support<ul><li>
Use Tableau Desktop, Tableau Prep, and SQL to perform ad-hoc analyses on a variety of data sources</li><li>
Summarize and deliver unique insights on claims data received from payor and provider partners and operations/clinical data collected through EMRs</li></ul></li></ul>
Just as important as your experience and skills will be the following characteristics and competencies:
<ul><li>Interest and strengths in data analysis and innovation</li><li>
Desire and willingness to learn and develop new technical skills</li><li>
Build relationships with internal and external partners and clients</li><li>
Interest in coaching, and finding consensus</li><li>
Embrace working in a fast-paced environment</li><li>
Focus on analytical process improvement</li><li>
A self-starter mentality and thoughtful execution abilities</li><li>
Strong written and verbal communication skills</li><li>
An upbeat, team-oriented attitude</li></ul>
QUALIFICATIONS
<ul><li>Bachelor&rsquo;s degree preferred</li><li>
Very strong experience with Snowflake and writing SQL and relational databases</li><li>
4 years of experience with EPIC clarity or Caboodle certification required OR GCP data engineering certification required</li><li>
Strong experience with project management</li><li>
Experience in all Microsoft applications</li><li>
Experience working within SDLC framework</li><li>
Experience in healthcare analytics preferred</li></ul>
Here is what you can expect when you join our Village:
<ul><li>A &quot;community first, company second&quot; culture based on Core Values that really matter</li><li>
Clinical outcomes consistently ranked above the national average</li><li>
Award-winning education and training across multiple career paths to help you reach your potential</li><li>
Performance-based rewards based on stellar individual and team contributions</li><li>
A comprehensive benefits package designed to enhance your health, your financial well-being, and your future</li><li>
Dedication, above all, to caring for patients suffering from kidney failure and other chronic disease across the nation</li></ul>
What We&rsquo;ll Provide
More than just pay, our DaVita Rewards package connects teammates to what matters most. Teammates are eligible to begin receiving benefits on the first day of the month following or coinciding with one month of continuous employment. Below are some of our benefit offerings.<ul><li>Comprehensive benefits: Medical, dental, vision, 401(k) match, paid time off, PTO cash out</li><li>Support for you and your family: Family resources, EAP counseling sessions, access Headspace&reg;, backup child and elder care, maternity/paternity leave and more</li><li>Professional development programs: DaVita offers a variety of programs to help strong performers grow within their career and also offers on-demand virtual leadership and development courses through DaVita&rsquo;s online training platform Star Learning.</li></ul>
#LI-CM2
At DaVita, we strive to be a community first and a company second. We want all teammates to experience DaVita as &quot;a place where I belong.&quot; Our goal is to embed belonging into everything we do in our Village, so that it becomes part of who we are. We are proud to be an equal opportunity workplace and comply with state and federal affirmative action requirements. Individuals are recruited, hired, assigned and promoted without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, protected veteran status, or any other protected characteristic.
This position will be open for a minimum of three days.
The Salary Range for the role is $76,000.00 - $104,000.00/year.
If a candidate is hired, they will be paid at least the minimum wage according to their geographical jurisdiction and the exemption status for the position.
New York Exempt: New York City and Long Island: $66,300.00/year, Nassau, Suffolk, and Westchester counties: $66,300.00/year, Remainder of New York state: $62,353.20/year New York Non-exempt: New York City and Long Island: $17.00/hour, Nassau, Suffolk, and Westchester counties: $17.00/hour, Remainder of New York state: $16.00/hour
Washington Exempt: $80,168.40/year Washington Non-exempt: Bellingham: $19.13/hour, Burien: $21.63/hour, Everette: $20.77/hour, Unincorporated King County: $20.82/hour, Renton: $21.57/hour, Seattle: $21.30/hour, Tukwila: $21.65/hour, Remainder of Washington state: $17.13/hour<div>
For location-specific minimum wage details, see the following link: DaVita.jobs/WageRates</div>
Compensation for the role will depend on a number of factors, including a candidate&rsquo;s qualifications, skills, competencies and experience. DaVita offers a competitive total rewards package, which includes a 401k match, healthcare coverage and a broad range of other benefits. Learn more at https://careers.davita.com/benefits
Colorado Residents: Please do not respond to any questions in this initial application that may seek age-identifying information such as age, date of birth, or dates of school attendance or graduation. You may also redact this information from any materials you submit during the application process. You will not be penalized for redacting or removing this information.</div>

Analytics and Reporting Sr Analytics (IKC)

NVIDIA

<div>At NVIDIA, we're building the platforms to accelerate the healthcare applications of tomorrow. Software, Hardware, as well as data. We're looking for dedicated contributors who know how to focus on the latter. This is an opportunity to influence the direction of NVIDIA research, engineering, and ultimately the products which our customers build.
This role leads healthcare data operations and guides its strategy. You decide what to build next and collaborate with community partners to build it. You also establish the MLOps backbone that makes each program a durable, growing asset. You connect leading clinicians, academic researchers, medtech industry partners, and NVIDIA's engineering and product teams.
What You'll Be Doing:<ul><li>
Define a portfolio strategy and selection methodology for NVIDIA's healthcare data programs with key collaborators. Prioritize modalities, clinical domains, and partner cohorts based on scientific and market impact, downstream model value, partner readiness, and technical feasibility.</li><li>
Drive the tactical execution of new healthcare data collaborations end-to-end: prioritizing, data contribution agreements and licensing, contribution standards, release planning, and public launch.</li><li>
Architect and build our healthcare data MLOps platform that ingests, curates, validates, governs, and serves multi-institution healthcare data at scale. Combine NVIDIA's internal tooling with outstanding external systems when appropriate.</li><li>
Partner directly with NVIDIA healthcare and model training teams (e.g., GR00T, Cosmos) to ensure data programs are sequenced and crafted to feed the highest-priority needs.</li><li>
Establish data quality, provenance, de-identification, and governance standards that scale across modalities and meet the regulatory and compliance expectations of global clinical partners.</li></ul>
What We Need to See:<ul><li>
12+ years working with healthcare data &mdash; building datasets, running data programs, or leading MLOps workflows in a healthcare or medtech setting.</li><li>
Strong technical proficiency across the healthcare data lifecycle: ingestion, curation, annotation, de-identification, governance (HIPAA, GDPR, IRB workflows), and serving for training and evaluation.</li><li>
Hands-on experience with MLOps tooling &mdash; data lakes/lakehouses, dataset versioning (e.g., Hugging Face Datasets, LakeFS, DVC), workflow orchestration, validation frameworks &mdash; and a clear point of view on when to build versus integrate.</li><li>
Familiarity operating at the intersection of strategy, partnerships, and engineering &mdash; able to set portfolio direction one day and review schema choices or pipeline architectures the next.</li><li>
BS or higher in Computer Science, Biomedical Engineering, Computational Biology, or a related technical field, or equivalent experience.</li></ul>
Ways to Stand Out from the Crowd:<ul><li>
Direct healthcare industry experience &mdash; including familiarity with how device data is generated, retained, and released.</li><li>
Track record of launching publicly released, commercially usable healthcare datasets.</li><li>
Experience standing up data infrastructure for foundation model training, including multi-modal sensor data.</li><li>
Deep relationships across the global clinical AI community (MedTech or biopharma), and a history of converting those relationships into shipped artifacts.</li><li>
Familiarity with NVIDIA platforms relevant to healthcare AI &mdash; Holoscan, BioNeMo, Cosmos, Isaac, NeMo Data Designer, or Omniverse.</li></ul>
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.<div><div><div><div><div><div><div>
You will also be eligible for equity and benefits.</div></div></div></div></div></div></div>
Applications for this job will be accepted at least until May 12, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.</div>

Lead Engineer, Healthcare Data Operations and Strategy

Openkyber

<div>DataOps Engineer / Azure Data Engineer (Public Health Data Modernization) Location: Remote Position Type: Contract (15 months with multi-year extension options)
Prior experience health care data modernization projects for state projects is highly desired
Job Summary:
We are seeking a highly skilled DataOps Engineer to lead the operationalization of a large-scale public health data infrastructure modernization initiative. This role is critical in establishing a sustainable, staff-owned DataOps foundation to improve the quality, reliability, and usability of state-wide health data. You will work at the intersection of data engineering, quality assurance, and governance, utilizing a modern cloud stack centered on Azure DevOps, Azure Databricks, and AWS Data Lake architectures.
The ideal candidate is not just a technical expert but also a mentor who can perform hands-on co-development with internal teams to build durable organizational capacity.
Key Responsibilities:
<ul><li>Data Quality &amp; Statistical Process Control (SPC): Develop and implement governed, version-controlled downstream Data Quality (DQ) rules and validation frameworks. Establish SPC monitoring for data volumes, timeliness, and distributions, including AI-assisted anomaly detection.</li>
<li>Infrastructure &amp; Pipeline Support: Translate downstream requirements into actionable specifications for upstream ingestion teams. Maintain operational performance metrics and observability dashboards.</li>
<li>Data Governance &amp; Metadata: Build and maintain data glossaries, catalogs, and end-to-end lineage visualizations within established governance tools. Define data contract requirements for external vendors, including schema expectations and QA thresholds.</li>
<li>Analytics &amp; BI Enablement: Develop governed Power BI semantic models (Cost, Quality, Access) and standardized dashboards with integrated DQ/SPC overlays.</li>
<li>Organizational Enablement: Lead role-based training through active co-building sessions. Document all processes, runbooks, and SOPs as living Wikis within Azure DevOps to ensure long-term sustainability.</li>
</ul>Required Technical Stack:
<ul><li>Platform: Azure DevOps (Boards, Repos, Pipelines, Wikis).</li>
<li>Data Engineering: Azure Databricks and AWS Data Lake (Medallion Architecture).</li>
<li>Visualization: Power BI (DAX, RLS, semantic modeling).</li>
<li>Automation: Power Automate and SharePoint integration.</li>
<li>Architecture: Experience with native AWS services and complex data ingestion pipelines.</li>
</ul>Preferred Qualifications:
<ul><li>Certifications: Microsoft Certified: Azure Data Engineer Associate, Power BI Data Analyst Associate (PL-300), or Databricks Data Engineer Professional.</li>
<li>Domain Expertise: Prior experience with healthcare data infrastructure (e.g., APCD, Medicaid, or clinical datasets).</li>
<li>Management: DAMA CDMP, Lean Six Sigma, or Prosci Change Practitioner certifications.</li>
<li>Agile: SAFe Practitioner or Scrum Master (CSM/PSM).</li>
</ul>DataOps Engineer, Azure Data Engineer, Databricks, Azure DevOps Pipelines, Power BI Developer, Healthcare Data Analytics, AWS Data Lake, Medallion Architecture, Data Governance, Statistical Process Control, Metadata Management, Data Quality Engineering, AI Anomaly Detection, Semantic Modeling, DAX, SQL, Python, Public Health IT, Data Lineage, CDMP.
For applications and inquiries, contact: hirings@openkyber.com</div>

Azure Network Engineer

CenterWell

<div><h1 class="jobSectionHeader">Become a part of our caring community 
</h1>
The Senior Business Intelligence Engineer solves complex business problems using data from internal and external sources to provide insight to decision-makers. The Senior Business Intelligence Engineer work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. You will report to the Business Intelligence Lead.
The Senior Business Intelligence Engineer defines the tools and practices used to transform data into impactful insights. You will influence department's strategy. You will make decisions on issues regarding technical approach for project components, and you will perform work without direction. You will exercise considerable latitude in determining goals and approaches to assignments.<h1 class="jobSectionHeader"> 
Use your skills to make an impact 

</h1>Required Qualifications<ul><li>
Bachelor's degree and 5+ years of technical experience in data analysis OR Master's degree and 3+ years of experience.</li><li>
Advanced experience working with big and complex data sets within large organizations.</li><li>
Experience analyzing data to solve different business problems and create data visualizations that move strategic direction.</li><li>
Proficiency in understanding Healthcare related data.</li><li>
You must be passionate about contributing to an organization focused on improving consumer experiences.</li><li>
You have experience with Star Schema and Source of Truth discipline.</li><li>
You are able to work within the EST time zone.</li></ul>
Preferred Qualifications<ul><li>
Advanced Degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering or related field.</li><li>
Advanced in SQL, SAS and other data systems.</li><li>
Experience with tools such as Power BI, ableau and Qlik for creating data visualizations.</li><li>
Expertise in data mining, forecasting, simulation, and predictive modeling.</li><li>
Experience creating analytics solutions for multiple healthcare sectors.</li></ul>
#LI-CM1
Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.
Scheduled Weekly Hours
40
Pay Range
The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc. 

$89,000 - $121,400 per year 

This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.
Description of Benefits
Humana, Inc. and its affiliated subsidiaries (collectively, &ldquo;Humana&rdquo;) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.
Application Deadline: 07-06-2026<h1 class="jobSectionHeader"> 

About us 
</h1>
About CenterWell Senior Primary Care: CenterWell Senior Primary Care provides proactive, preventive care to seniors, including wellness visits, physical exams, chronic condition management, screenings, minor injury treatment and more. Our unique care model focuses on personalized experiences, taking time to listen, learn and address the factors that impact patient well-being. Our integrated care teams, which include physicians, nurses, behavioral health specialists and more, spend up to 50 percent more time with patients, providing compassionate, personalized care that brings better health outcomes. We go beyond physical health by also addressing other factors that can impact a patient&rsquo;s well-being.
About CenterWell, a Humana company: CenterWell is a leading healthcare services business focused on creating integrated and differentiated experiences that put our patients at the center of everything we do. The result is high-quality healthcare that is accessible, comprehensive and, most of all, personalized. As the largest provider of senior-focused primary care, a leading provider of home healthcare and a leading integrated home delivery, specialty, hospice and retail pharmacy, CenterWell is focused on whole health and addressing the physical, emotional and social wellness of our patients. CenterWell is part of Humana Inc. (NYSE: HUM). Learn more about what we offer at CenterWell.com. 
 
Equal Opportunity Employer
It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.</div>

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