healthcare data engineer

Blue Sky Technology Solutions LLC

<p>We are seeking a <b>Senior Data Engineer</b> to support the design and delivery of modern data platforms in a healthcare environment. This role is focused on building scalable, cloud-native data pipelines using <b>Snowflake and dbt</b>, supporting enterprise analytics and data-driven decision making.</p><p>This is an ideal opportunity for someone who thrives in modern ELT environments and has experience working with healthcare data.</p><p><b>Key Responsibilities</b></p><ul><li>Design, develop, and maintain scalable data pipelines using <b>Snowflake and dbt</b></li><li>Build and optimize ELT workflows for large-scale data ingestion and transformation</li><li>Develop robust data models (dimensional, incremental, SCD patterns) to support analytics and reporting</li><li>Collaborate with cross-functional teams to define data requirements and deliver high-quality data solutions</li><li>Ensure data quality, performance optimization, and governance across the data platform</li><li>Support CI/CD processes and automated testing within dbt and cloud environments</li></ul><p><b>Required Qualifications</b></p><ul><li>5+ years of experience in data engineering or ETL/ELT development</li><li>Strong hands-on experience with <b>Snowflake</b> (data modeling, performance tuning, pipelines)</li><li>Proven experience building <b>dbt-based ELT frameworks</b> (dbt Core or dbt Cloud)</li><li>Strong SQL skills and experience with Python for data processing</li><li>Experience working in cloud environments (AWS, Azure, or GCP)</li><li>Experience building scalable data pipelines and supporting analytics platforms</li></ul><p><b>Preferred Qualifications</b></p><ul><li>Experience working with <b>healthcare data</b> (claims, EHR, interoperability, etc.)</li><li>Exposure to <b>Epic data (Clarity, Caboodle)</b> or healthcare interoperability standards (HL7, FHIR)</li><li>Experience with modern data tools such as Airflow, Fivetran, or similar orchestration/ingestion frameworks</li><li>Familiarity with data governance, security, and compliance (HIPAA)</li></ul><p><b>What We&rsquo;re Looking For</b></p><ul><li>Strong hands-on engineer with a modern data stack mindset</li><li>Experience working in <b>Snowflake-first, dbt-driven environments</b></li><li>Ability to operate in both development and solution design capacities</li><li>Strong communication skills and ability to work with technical and business stakeholders</li></ul><p><b>Why Join</b></p><ul><li>Opportunity to work on modern, cloud-based data platforms</li><li>High-impact role supporting critical healthcare data initiatives</li><li>Collaborative, forward-thinking data engineering environment</li></ul><p>Apply today to be part of a team building next-generation data platforms in healthcare.</p><p>Job Type: Full-time</p><p>Pay: $120,000.00 - $150,000.00 per year</p><p>Benefits:</p><ul><li>401(k)</li><li>Dental insurance</li><li>Health insurance</li><li>Life insurance</li><li>Paid time off</li><li>Professional development assistance</li><li>Vision insurance</li></ul><p>Work Location: Remote</p>

Senior Data Engineer (Snowflake/dbt/Healthcare) - 100% Remote

University of Texas at Austin

<div><div>Job Posting Title:</div>
Data Engineer I<div>
-</div><div>
Hiring Department:</div>
Dell Medical School<div>
-</div><div>
Position Open To:</div>
All Applicants<div>
-</div><div>
Weekly Scheduled Hours:</div>
40<div>
-</div><div>
FLSA Status:</div>
Exempt<div>
-</div><div>
Earliest Start Date:</div>
Immediately<div>
-</div><div>
Position Duration:</div>
Expected to Continue<div>
-</div><div>
Location:</div>
AUSTIN, TX<div>
-</div><div>
Job Details:</div><div>
Purpose</div><div>
The Data Engineer is responsible for expanding and optimizing the healthcare system&rsquo;s data and data pipeline architecture, as well as optimizing data flow and collection for cross-functional teams. This role designs, builds, and maintains scalable data infrastructure to support clinical, operational, and strategic decision-making. Reporting to the Director of Data Intelligence and Decision Science, the Data Engineer collaborates with data scientists, analysts, software engineers, and clinical informatics teams. This position ensures data quality, security, and accessibility by integrating data from different sources such as EHRs, medical devices, financial systems, and external partners. The Data Engineer is critical to enabling predictive analytics, population health management, and regulatory compliance.</div><div></div><div>
Responsibilities</div><div>
Designs and Maintains Data Pipelines</div><ul><li><div>
Creates and maintains optimal data pipeline architecture for structured and unstructured healthcare data.</div></li><li><div>
Assembles large, complex data sets that meet functional and non-functional business requirements.</div></li><li><div>
Builds scalable ETL/ELT pipelines using SQL and AWS big data technologies.</div></li><li><div>
Optimizes pipeline performance for latency, throughput, and fault tolerance.</div></li><li><div>
Ensures pipelines comply with HIPAA and other regulatory standards.</div></li></ul><div></div><div>
Develops and Manages Data Infrastructure</div><ul><li><div>
Builds infrastructure for optimal extraction, transformation, and loading of data from diverse sources.</div></li><li><div>
Creates and maintains data lakes, warehouses, and marts using platforms like Snowflake, Redshift, or BigQuery.</div></li><li><div>
Configures cloud-based storage and compute environments (AWS, Azure, GCP).</div></li><li><div>
Implements schema design, indexing, and partitioning strategies.</div></li><li><div>
Ensures high availability and disaster recovery protocols.</div></li></ul><div></div><div>
Enables Analytics and Data Science</div><ul><li><div>
Creates data tools for analytics and data science teams to build and optimize data products.</div></li><li><div>
Develops reusable components for reporting and dashboarding tools.</div></li><li><div>
Builds data models and views for use by analysts and data scientists.</div></li><li><div>
Enables self-service analytics through curated datasets.</div></li><li><div>
Collaborates with stakeholders to define KPIs and metrics.</div></li></ul><div></div><div>
Improves Internal Processes and Scalability</div><ul><li><div>
Identifies, designs, and implements internal process improvements.</div></li><li><div>
Automates manual processes and optimizes data delivery.</div></li><li><div>
Re-designs infrastructure for greater scalability and performance.</div></li><li><div>
Refactors legacy systems for maintainability.</div></li><li><div>
Implements CI/CD pipelines for data workflows.</div></li></ul><div></div><div>
Collaborates Across Teams</div><ul><li><div>
Works with stakeholders including Executive, Product, Data, and Design teams to support data infrastructure needs.</div></li><li><div>
Translates business requirements into technical specifications.</div></li><li><div>
Provides mentorship to junior data engineers.</div></li><li><div>
Communicates technical concepts to non-technical stakeholders.</div></li><li><div>
Supports cross-functional initiatives and agile squads.</div></li></ul><div></div><div>
Ensures Data Governance and Security</div><ul><li><div>
Keeps data separate and secure, following all relevant data governance and security protocols.</div></li><li><div>
Implements data validation, anomaly detection, and cleansing routines.</div></li><li><div>
Collaborates with data governance teams to enforce policies.</div></li><li><div>
Audits data for completeness, accuracy, and timeliness.</div></li><li><div>
Supports data stewardship and master data management initiatives.</div></li></ul><div></div><div>
MARGINAL OR PERIODIC FUNCTIONS:</div><ul><li><div>
Conducts training sessions for analysts and clinical staff on data tools.</div></li><li><div>
Participates in vendor evaluations and proof-of-concept projects.</div></li><li><div>
Supports data integration for mergers, acquisitions, or new service lines.</div></li><li><div>
Assists in disaster recovery drills and business continuity planning.</div></li><li><div>
Contributes to grant proposals or research initiatives requiring data support.</div></li><li><div>
Performs related duties as required.</div></li></ul><div></div><div>
KNOWLEDGE/SKILLS/ABILITIES</div><div>
Technical Learning</div><ul><li><div>
Quickly learns new technical skills and knowledge; is good at learning new industry, company, product, or technical knowledge.</div></li><li><div>
Adopts new data tools and frameworks with minimal supervision.</div></li><li><div>
Learns and applies healthcare-specific data standards (e.g., HL7, FHIR).</div></li><li><div>
Keeps current with cloud platform updates and best practices.</div></li></ul><div></div><div>
Problem Solving</div><ul><li><div>
Uses rigorous logic and methods to solve difficult problems with effective solutions.</div></li><li><div>
Diagnoses root causes of data pipeline failures.</div></li><li><div>
Designs scalable solutions for complex data integration challenges.</div></li><li><div>
Applies statistical methods to validate data quality.</div></li></ul><div></div><div>
Functional/Technical Skills</div><ul><li><div>
Possesses the functional and technical knowledge and skills to do the job at a high level of accomplishment.</div></li><li><div>
Writes efficient SQL and Python code for data processing.</div></li><li><div>
Configures cloud infrastructure for data workloads.</div></li><li><div>
Implements secure and compliant data architectures.</div></li></ul><div></div><div>
Dealing with Ambiguity</div><ul><li><div>
Copes with change effectively; can shift gears comfortably; can decide and act without having the total picture.</div></li><li><div>
Designs flexible data models for evolving clinical needs.</div></li><li><div>
Navigates incomplete or inconsistent data sources.</div></li><li><div>
Adapts to shifting priorities in fast-paced environments.</div></li></ul><div></div><div>
Collaborates</div><ul><li><div>
Works effectively with others to achieve shared goals; actively listens and communicates openly.</div></li><li><div>
Partners with clinicians to understand data needs.</div></li><li><div>
Participates in cross-functional agile teams.</div></li><li><div>
Resolves conflicts between technical and business priorities.</div></li></ul><div></div><div>
Strategic Agility</div><ul><li><div>
Sees ahead clearly; can anticipate future consequences and trends accurately.</div></li><li><div>
Designs data systems that scale with organizational growth.</div></li><li><div>
Aligns data engineering efforts with enterprise analytics strategy.</div></li><li><div>
Anticipates regulatory changes and prepares infrastructure accordingly.</div></li></ul><div></div><div>
Required Qualifications</div><ul><li><div>
Requires a Bachelor's Degree in Computer Science, Information Systems, Engineering, Statistics, or a related field with at least 2 year(s) of experience in data engineering, architecture, or ETL development.</div></li><li><div>
Proficiency with big data tools (e.g., Hadoop, Spark, Kafka).</div></li><li><div>
Experience with both SQL and NoSQL databases.</div></li><li><div>
Skilled in data pipeline and workflow management tools.</div></li><li><div>
Familiarity with AWS services, such as EC2, EMR, RDS, Redshift, Glue, DynamoDB.</div></li><li><div>
Programming/scripting experience in Python, Java, C++, Scala, or similar.</div></li><li><div>
Relevant education and experience may be substituted as appropriate.</div></li></ul><div></div><div>
Preferred Qualifications</div><ul><li><div>
Master's Degree in Data Engineering, Computer Science, or related field with at least 5 year(s) of experience in healthcare data engineering or analytics.</div></li><li><div>
Advanced SQL skills and hands-on relational database work.</div></li><li><div>
Expertise in building and optimizing big data pipelines using Python.</div></li><li><div>
Experience managing data transformation, metadata, dependencies, and workload orchestration.</div></li><li><div>
Understanding of message queuing, stream processing, and scalable data storage systems.</div></li><li><div>
Strong project management skills.</div></li></ul><div></div><div>
LICENSES, REGISTRATIONS OR CERTIFICATIONS</div><div>
REQUIRED:</div><ul><li><div>
None</div></li></ul><div></div><div>
PREFERRED:</div><ul><li><div>
AWS Certified Data Analytics</div></li><li><div>
Certified Health Data Analyst (CHDA)</div></li><li><div>
Project Management Professional (PMP)</div></li></ul><div></div><div>
Salary Range</div><div>
$71,059.66 + depending on qualifications</div><div></div><div>
Working Conditions</div><ul><li><div>
Standard office equipment</div></li><li><div>
Repetitive use of a keyboard</div></li><li><div>
May be exposed to such occupational hazards as communicable diseases, blood borne pathogens, ionizing and non-ionizing radiation, hazardous medications and disoriented or combative patients, or others.</div></li></ul><div></div><div>
Required Materials</div><ul><li><div>
Resume/CV</div></li><li><div>
3 work references with their contact information; at least one reference should be from a supervisor</div></li><li><div>
Letter of interest</div></li></ul><div></div><div>
Important for applicants who are NOT current university employees or contingent workers: You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure that ALL Required Materials have been uploaded. Once your job application has been submitted, you cannot make changes.</div><div></div><div>
Important for Current university employees and contingent workers: As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questions presented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above.</div><div>
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Employment Eligibility:</div>
Regular staff who have been employed in their current position for the last six continuous months are eligible for openings being recruited for through University-Wide or Open Recruiting, to include both promotional opportunities and lateral transfers. Staff who are promotion/transfer eligible may apply for positions without supervisor approval.<div>
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Retirement Plan Eligibility:</div>
The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length.<div>
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Background Checks:</div><div>
A criminal history background check will be required for finalist(s) under consideration for this position.</div><div>
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Equal Opportunity Employer:</div><div>
The University of Texas at Austin, as an <div>equal opportunity/affirmative action employer</div>, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.</div><div>
-</div><div>
Pay Transparency:</div><div>
The University of Texas at Austin will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor&rsquo;s legal duty to furnish information.</div><div>
-</div><div>
Employment Eligibility Verification:</div><div>
If hired, you will be required to complete the federal Employment Eligibility Verification I-9 form. You will be required to present acceptable and original <div>documents</div> to prove your identity and authorization to work in the United States. Documents need to be presented no later than the third day of employment. Failure to do so will result in loss of employment at the university.</div><div>
-</div><div>
E-Verify:</div><div>
The University of Texas at Austin use E-Verify to check the work authorization of all new hires effective May 2015. The university&rsquo;s company ID number for purposes of E-Verify is 854197. For more information about E-Verify, please see the following:</div><ul><li><div>
E-Verify Poster (English and Spanish)</div> [PDF]</li><li><div>
Right to Work Poster (English)</div> [PDF]</li><li><div>
Right to Work Poster (Spanish)</div> [PDF]</li></ul><div>
-</div><div>
Compliance:</div><div>
Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act). If this position is identified a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting. Responsible employees under Title IX are defined and outlined in <div>HOP-3031</div>.</div><div></div><div>
The Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report. You may <div>access the most recent report here</div> or obtain a copy at University Compliance Services, 1616 Guadalupe Street, UTA 2.206, Austin, Texas 78701.</div></div>

Data Engineer I

Sinai Chicago

<div><p><b>Position Purpose:</b>
</p><p>The Healthcare Data Analyst/Data Engineer supports research, evaluation, and clinical improvement initiatives by managing and analyzing clinical and operational data.
</p><p>This role works closely with the hospital&rsquo;s data analytics and IT teams to access, transform, and analyze data from Epic and enterprise data warehouses. The position is responsible for building analytic datasets, writing SQL queries, validating data, and supporting research projects focused on population and health services research.</p><br>
<p></p><p><b>Key Job Activities:</b>
</p><ul><li>Collaborates with hospital analytics and IT teams to access clinical and operational data from Epic and enterprise data systems.
</li><li>Writes and maintains SQL queries to extract, clean, and transform datasets for research and operational projects.
</li><li>Builds and maintains analytic datasets for population health, clinical intervention, and health service research initiatives.</li>
<li>Performs data validation and quality assurance to ensure accuracy and completeness of datasets.
</li><li>Supports statistical analyses, dashboards, and reports for internal and external stakeholders.
</li><li>Works with research and program teams to translate research questions into data requests and analytic plans.
</li><li>Documents data definitions, extraction logic, and analytic workflows.
</li><li>Assists with integration of data across multiple systems and sources.
</li><li>Supports development of data visualizations and summary reports.
</li><li>Participates in team meetings and project planning related to data and evaluation.
</li><li>Performs other duties as assigned. Education and Work Experience:
</li><li>Bachelor&rsquo;s degree in data science, statistics, computer science, informatics, or a related field.
</li><li>Minimum of 3&ndash;5 years of experience working with healthcare, clinical, or related data.
</li><li>Experience working with Epic data or healthcare enterprise data warehouses.
</li><li>Demonstrated experience writing moderate to complex SQL queries.
</li><li>Experience supporting research, quality improvement, or operational analytics projects preferred.</li></ul><br>
<p>
</p><p><b>Knowledge and Skills:</b>
</p><ul><li>Strong SQL and relational database skills (e.g., SQL Server, Oracle, or similar systems).
</li><li>Knowledge of healthcare data structures such as encounters, diagnoses, procedures, labs, and medications.
</li><li>Experience with data cleaning, validation, and dataset construction.
</li><li>Ability to translate research or operational questions into structured data queries.
</li><li>Strong analytical, problem-solving, and critical thinking skills.
</li><li>Experience with data visualization or analytic tools (e.g., Power BI, Tableau, R, Python) preferred.
</li><li>Experience with statistical software (e.g., SAS, Stata, R)
</li><li>Strong documentation and data management practices.
</li><li>Ability to communicate technical concepts to non-technical audiences.
</li><li>Ability to manage multiple projects and deadlines in a fast-paced environment.</li>
<li>Epic certification or proficiency in reporting or analytics modules (e.g., Clarity, Caboodle, Cogito).
</li><li>Experience with Epic reporting environments (e.g., Clarity, Caboodle, Cogito) preferred.
</li><li>Experience in EPIC and MEDITECH software systems preferred.
</li><li>Certifications/Licenses:
</li><li>Epic certification or proficiency in reporting or analytics modules (e.g., Clarity, Caboodle, Cogito) preferred.</li></ul><br>
<p>
</p><p><b>PHYSICAL DEMANDS:
</b></p><ul><li>While performing the duties of this job, the employee is regularly required to sit; use hands to finger, handle or feel; and talk or hear
</li><li>The employee is frequently required to walk and stoop, kneel, or crouch
</li><li>The employee is occasionally required to stand
</li><li>The employee must occasionally lift and/or move up to 25 pounds.
</li><li>Specific vision abilities required by this job include close vision, distance vision, and ability to adjust focus</li><br>
</ul>
<p></p><p><b>WORK ENVIRONMENT:
</b></p><ul><li>General office environment and the noise level in the work environment is usually moderate</li>
</ul><br>
Location: SHS &middot; SHS SHS UHI<br>
Schedule: Full Time, Days, 8am - 5pm</div>

HEALTHCARE DATA ANALYST/DATA ENGINEER

Mingle Health

<div><div>Mingle Health is seeking a talented candidate for the role of Senior Clinical Informatics Data Engineer. Our data-driven software solutions and services give providers tools to identify and solve common healthcare challenges related to preventive medicine, disease management, practice efficiency, and quality reporting.</div>
<div></div><div>The Senior Clinical Informatics Data Engineer will possess a combination of healthcare information technology experience, strong clinical knowledge, and robust SQL Server database skills in order to perform a variety of tasks, functions, and services related to the analysis of client data. Our CI team members are trusted advisors to our clients in a complex process to report data to Medicare. Our clients look to us to be experts, simplify complex tasks, and guide decision-making relating to quality measures. In addition, our Clinical Informatics team plays a vital role in converting CMS specifications and related data into our database so that data can be analyzed to calculate eligible instances and performance. <b>It is required that the candidate possesses experience within process improvement, quality reporting, and working with data in a SQL database.</b></div>
<div></div><div>Required Clinical Skills &amp; Experience</div>
<ul><li>5+ years experience in Healthcare/Clinical Informatics</li>
<li>Experience with medical/clinical information systems used by clients (e.g., EHR, Practice Management, etc.)</li>
<li>Experience with medical processes and terminology, physician office systems, or billing (including Medicare and other payers)</li>
<li>Experience with Quality Reporting</li>
<li>Familiarity with MIPS and APP programs</li>
<li>Ability to review, interpret, compare, and edit clinical documentation such as the CMS Measure Specifications Manual for Claims and Registry Reporting</li>
<li>Ability to listen to client requirements and translate them into actionable solutions</li>
<li>Provide clients guidance to construct their queries, extract their data, assess the quality of the data, and continuously improve their data quality, flow, and metrics.</li></ul><br>
<div></div><div>Required Technical Skills</div>
<ul><li>Strong programming skills and proficiency in SQL</li>
<li>Ability to develop, execute, and evaluate Microsoft SQL queries</li>
</ul><ul><li>Experience building and optimizing data pipelines</li></ul>
<ul><li>Develop pipelines to transform raw data into reliable and usable information for analysis</li></ul>
<ul><li>Build data migration scripts and procedures using tools such as SSIS and/or Python</li></ul>
<ul><li>Facilitate importing of third-party data into data structures &ndash; utilize database, programming and ETL tools to implement and maintain efficient and accurate data loading processes</li></ul>
<ul><li>Investigate exceptions in data migrations</li></ul>
<ul><li>Contribute to and engage in planning, analysis, design and development of data management processes, data integration, data warehouse, and BI solutions</li></ul>
<ul><li>Ability to analyze large datasets in minute detail to investigate and resolve issues ensuring data integrity and accuracy including but not limited to, reading error logs, executing stored procedures, understanding data structures</li>
<li>Basic understanding of best practices for effective database design and maintenance</li>
<li>Comfort with a rapidly changing environment with incomplete documentation and fluid roles</li>
<li>Strict adherence to HIPAA privacy and security policies</li>
</ul>
<div></div><div>Functions and Key Attributes</div>
<ul><li>Understand, explain, and codify CMS specifications for the QPP</li>
<li>Use MS SQL and other tools to analyze accuracy and performance with claims and clinical data</li>
<li>Use internal web app software to provide data mapping for claims and clinical datasets</li>
<li>Translate measure specifications into database objects used to calculate quality measures</li>
<li>Serve as a consult on assigned clients including health practices and hospital systems to successfully complete a CMS submission</li>
<li>Ability to build ad-hoc reports in SQL for client consulting purposes</li>
<li>Validate data load processes into clinical data repositories</li>
<li>Collaborate with other staff to document data needs and metric definitions</li>
<li>Perform QA functions for the data integration processes and repository metrics</li>
<li>Collaborative and team skills to integrate with a disseminated, remote team</li>
<li>Interpersonal skills to manage and contribute to client-facing projects and internal development projects</li></ul><br>
<div></div><div>Mingle Health is a 100% remote based company. Skilled routine use of remote communications tools is expected. Reliable high speed internet connection and appropriate home-based office space are required.</div>
<div></div><div>This position is not eligible for immigration sponsorship. In compliance with federal law, all persons hired will be required to verify identity and current authorization to work in the United States and to complete the required employment eligibility verification form upon hire.</div></div>

Sr. Clinical Informatics Data Engineer

Ann & Robert H. Lurie Children's Hospital of Chicago

<div>
 Ann &amp; Robert H. Lurie Children&rsquo;s Hospital of Chicago provides superior pediatric care in a setting that offers the latest benefits and innovations in medical technology, research and family-friendly design. As the largest pediatric provider in the region with a 140-year legacy of excellence, kids and their families are at the center of all we do. Ann &amp; Robert H. Lurie Children&rsquo;s Hospital of Chicago is ranked in all 10 specialties by the U.S. News &amp; World Report.
 <br/>
 <br/>
 <strong>
  Location
  <br/>
  <br/>
 </strong>
 Simpson Querrey Biomedical Research Center
 <br/>
 <br/>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 <strong>
  General Summary:
  <br/>
  <br/>
 </strong>
 The Data Engineer is responsible for implementing and maintaining the data infrastructure and systems that enable storage, retrieval, and processing of large volumes of data within the organization. This role involved working creatively and collaboratively with product managers, business analysts, and peer data engineers to ensure the availability, reliability, and efficiency of data pipelines and databases.
 <br/>
 <br/>
 <ul>
  <li>
   This role is financed through external funding. The role exist as long as the grant funds are available and may be subject to renewal.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Essential Job Functions
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Implement robust data pipelines to ingest, process, and transform healthcare data from various sources, including electronic health records (EHR), claims data, and medical devices, into the Lurie Data Lake.
  </li>
  <li>
   Develop and maintain data warehouse models and schemas to support reporting and analytics needs.
  </li>
  <li>
   Collaborate with data scientists and analysts to understand business requirements and translate them into technical solutions.
  </li>
  <li>
   Ensure data quality, data security and data integrity through data validation and testing.
  </li>
  <li>
   Stay up-to-date with emerging technologies, industry trends, and best practices in data engineering and healthcare informatics.
  </li>
  <li>
   Collaborate with IT and infrastructure teams to manage and monitor data infrastructure components including databases, cloud services, and data processing frameworks.
  </li>
  <li>
   Other job functions as assigned.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Knowledge, Skills And Abilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's degree in computer science, statistics, applied mathematics, data management, information systems, information science or a related quantitative field.
  </li>
  <li>
   2+ years&rsquo; experience within data management disciplines including data integration, data modeling, data optimization and data quality, and/or other areas directly relevant to data engineering responsibilities and tasks.
  </li>
  <li>
   Proficiency in one or more programming languages such as Python, Java, C# or Scala.
  </li>
  <li>
   Knowledge of to various data management architectures like data warehousing, data lakes, hub and spoke, and medallion architectures.
  </li>
  <li>
   Knowledge of data processes like data governance, master data management, and metadata management.
  </li>
  <li>
   Knowledge of big data technologies such as Hadoop, Spark, or Kafka.
  </li>
  <li>
   Knowledge of with cloud platforms and services, such as AWS, GCP or Azure.
  </li>
  <li>
   Knowledge of hybrid deployments: Cloud and On-Premises.
  </li>
  <li>
   Strong problem-solving and analytical thinking abilities.
  </li>
  <li>
   Effective communication and collaboration skills across departments in IT and Lurie business units.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Education
  <br/>
  <br/>
 </strong>
 <strong>
  Pay Range
  <br/>
  <br/>
 </strong>
 $83,200.00-$137,280.00 Salary
 <br/>
 <br/>
 At Lurie Children&rsquo;s, we are committed to competitive and fair compensation aligned with market rates and internal equity, reflecting individual contributions, experience, and expertise. The pay range for this job indicates minimum and maximum targets for the position. Ranges are regularly reviewed to stay aligned with market conditions. In addition to base salary, Lurie Children&rsquo;s offer a comprehensive rewards package that may include differentials for some hourly employees, leadership incentives for select roles, health and retirement benefits, and wellbeing programs. For more details on other compensation, consult your recruiter or click the following link to learn more about our benefits.
 <br/>
 <br/>
 <strong>
  Benefit Statement
  <br/>
  <br/>
 </strong>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <strong>
  For full time and part time employees who work 20 or more hours per week we offer a generous benefits package that includes:
  <br/>
  <br/>
 </strong>
 Medical, dental and vision insurance
 <br/>
 <br/>
 Employer paid group term life and disability
 <br/>
 <br/>
 Employer contribution toward Health Savings Account
 <br/>
 <br/>
 Flexible Spending Accounts
 <br/>
 <br/>
 Paid Time Off (PTO), Paid Holidays and Paid Parental Leave
 <br/>
 <br/>
 403(b) with a 5% employer match
 <br/>
 <br/>
 <strong>
  Various Voluntary Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Supplemental Life, AD&amp;D and Disability
  </li>
  <li>
   Critical Illness, Accident and Hospital Indemnity coverage
  </li>
  <li>
   Tuition assistance
  </li>
  <li>
   Student loan servicing and support
  </li>
  <li>
   Adoption benefits
  </li>
  <li>
   Backup Childcare and Eldercare
  </li>
  <li>
   Employee Assistance Program, and other specialized behavioral health services and resources for employees and family members
  </li>
  <li>
   Discount on services at Lurie Children&rsquo;s facilities
  </li>
  <li>
   Discount purchasing program
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  There&rsquo;s a Place for You with Us
  <br/>
  <br/>
 </strong>
 At Lurie Children&rsquo;s, we embrace and celebrate building a team with a variety of backgrounds, skills, and viewpoints &mdash; recognizing that different life experiences strengthen our workplace and the care we provide to the Chicago community and beyond. We treat everyone fairly, appreciate differences, and make meaningful connections that foster belonging. This is a place where you can be your best, so we can give our best to the patients and families who trust us with their care.
 <br/>
 <br/>
 <em>
  Lurie Children&rsquo;s and its affiliates are equal employment opportunity employers. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin, ancestry, age, disability, marital status, pregnancy, protected veteran status, order of protection status, protected genetic information, or any other characteristic protected by law.
  <br/>
  <br/>
 </em>
 Support email: peoplequestions@luriechildrens.org
</div>


Data Engineer (*Grant Funded)

Comprehensive Mobile Care

<div>
 <strong>
  Location
 </strong>
 : Phoenix, AZ
 <br/>
 <br/>
 <strong>
  Department:
 </strong>
 Operations / Data &amp; Analytics
 <br/>
 <br/>
 <strong>
  Industry:
 </strong>
 Healthcare
 <br/>
 <br/>
 <strong>
  Overview
  <br/>
  <br/>
 </strong>
 We are seeking a
 <strong>
  Data &amp; Analytics Analyst
 </strong>
 to support the organization&rsquo;s growing data infrastructure and reporting needs. This role will own the development of reporting dashboards, data automation workflows, and data architecture across clinical and operational systems.
 <br/>
 <br/>
 The ideal candidate will build scalable reporting solutions while helping define the long-term data strategy for the organization. This includes managing data pipelines, supporting healthcare system integrations, and ensuring accurate and compliant data exchange across platforms such as eClinicalWorks (eCW), billing systems, and business intelligence tools.
 <br/>
 <br/>
 This role operates at both a
 <strong>
  tactical and strategic level
 </strong>
 &mdash; building dashboards and pipelines while helping design and maintain the organization&rsquo;s long-term data architecture.
 <br/>
 <br/>
 Role Overview
 <br/>
 <br/>
 The Data &amp; Analytics Analyst will support reporting, analytics, and data architecture initiatives across the organization. This role will develop and maintain dashboards, build scalable data pipelines, and help establish standards for data governance and reporting accuracy.
 <br/>
 <br/>
 This position will collaborate closely with operations, billing, and leadership teams to ensure key performance metrics and clinical data are reliable, accessible, and actionable.
 <br/>
 <br/>
 Key Responsibilities
 <br/>
 <br/>
 <strong>
  Business Intelligence &amp; Reporting
  <br/>
  <br/>
 </strong>
 Write advanced SQL queries to extract, validate, and transform data across systems
 <br/>
 <br/>
 Design, build, and maintain dashboards using Power BI, Looker, or similar BI tools
 <br/>
 <br/>
 Develop standardized operational and clinical reporting frameworks
 <br/>
 <br/>
 Partner with Operations, Billing, and leadership teams to define KPIs and performance metrics
 <br/>
 <br/>
 Maintain documentation for reporting logic, data definitions, and version control
 <br/>
 <br/>
 <strong>
  Data Architecture &amp; Data Lake Strategy
  <br/>
  <br/>
 </strong>
 Design and maintain the organization&rsquo;s data lake or warehouse architecture
 <br/>
 <br/>
 Establish schema structures, naming conventions, and governance standards
 <br/>
 <br/>
 Build and maintain ingestion pipelines from systems including eClinicalWorks (eCW), SFTP feeds, and vendor platforms
 <br/>
 <br/>
 Ensure HIPAA-compliant data storage, partitioning, and access controls
 <br/>
 <br/>
 Document metadata, data lineage, and data ownership standards
 <br/>
 <br/>
 <strong>
  eClinicalWorks (eCW) Data &amp; Interoperability
  <br/>
  <br/>
 </strong>
 Maintain strong working knowledge of eClinicalWorks data structure and reporting modules
 <br/>
 <br/>
 Manage CCDA imports and structured data updates
 <br/>
 <br/>
 Support external data ingestion into eCW
 <br/>
 <br/>
 Troubleshoot data discrepancies across systems
 <br/>
 <br/>
 Ensure accurate participant and clinical data mapping
 <br/>
 <br/>
 <strong>
  Data Governance &amp; Security
  <br/>
  <br/>
 </strong>
 Implement HIPAA-compliant data handling practices
 <br/>
 <br/>
 Define role-based data access controls and permissions
 <br/>
 <br/>
 Develop data validation and audit checks
 <br/>
 <br/>
 Create documentation supporting internal and external compliance reviews
 <br/>
 <br/>
 <strong>
  Required Qualifications
  <br/>
  <br/>
 </strong>
 3+ years of experience in healthcare data analytics, data engineering, or a related field
 <br/>
 <br/>
 Advanced SQL proficiency
 <br/>
 <br/>
 Experience building dashboards in Looker, Power BI, or similar BI platforms
 <br/>
 <br/>
 Experience designing or managing a data lake or data warehouse
 <br/>
 <br/>
 Hands-on experience with eClinicalWorks (eCW)
 <br/>
 <br/>
 Experience managing SFTP-based integrations
 <br/>
 <br/>
 Knowledge of healthcare data interoperability standards
 <br/>
 <br/>
 Familiarity with cloud data platforms such as AWS, Azure, or GCP
 <br/>
 <br/>
 Experience working in HIPAA-regulated environments
 <br/>
 <br/>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 Experience working in value-based care or multi-state healthcare operations
 <br/>
 <br/>
 Familiarity with HL7 or FHIR interoperability standards
 <br/>
 <br/>
 Experience with ETL/ELT tools and orchestration frameworks
 <br/>
 <br/>
 Background working with healthcare revenue cycle or clinical operations data
 <br/>
 <br/>
 <strong>
  About Comprehensive Mobile Care
  <br/>
  <br/>
 </strong>
 Comprehensive Mobile Care is a family-owned healthcare organization with over 25 years of experience and a strong reputation for ethical, patient-centered care. Our mission is to increase access to healthcare services for the geriatric population by delivering care directly to patients in the communities where they live.
 <br/>
 <br/>
 We provide on-site portable dentistry, podiatry, audiology, and optometry services at Senior Centers, Skilled Nursing Facilities, Assisted Living Facilities, and Veteran Homes across more than 20 states. Our model allows providers to focus on delivering high-quality patient care while our internal teams handle scheduling, equipment, and administrative support.
 <br/>
 <br/>
 Join Our Team
 <br/>
 <br/>
 If you are passionate about using data to drive smarter healthcare operations and improve patient access to care, we&rsquo;d love to hear from you.
</div>


Data & Analytics Analyst

VNS Health

<div>Overview: The SciTech organization at VNS Health is seeking an experienced Analytics Data Engineer to join our team. This hybrid role combines data engineering and analytics engineering &ndash; with the ideal candidate working end to end on ingestion, transformation, and data modeling workflows to power VNS's advanced analytics and machine learning products. The Data Analytics Engineer will initially focus on developing the Care Transitions Platform, ensuring reliable ingestion and transformation of claims and membership data for downstream analytics and ML scoring. Responsibilities:
<p><b>
What We Provide</b></p><ul><li>
Referral bonus opportunities
</li><li>Generous paid time off (PTO), starting at 30 days of paid time off and 9 company holidays
</li><li>Health insurance plan for you and your loved ones, Medical, Dental, Vision, Life and Disability
</li><li>Employer-matched retirement saving funds
</li><li>Personal and financial wellness programs
</li><li>Pre-tax flexible spending accounts (FSAs) for healthcare and dependent care
</li><li>Generous tuition reimbursement for qualifying degrees
</li><li>Opportunities for professional growth and career advancement
</li><li>Internal mobility, generous tuition reimbursement, CEU credits, and advancement opportunities</li></ul><p><b>
What You Will Do</b></p><ul><li>
Develop and orchestrate scalable ETL/ELT processes using AWS B2B Data Interchange, Glue, Step Functions, and Redshift, ensuring data integrity, reliability, and performance.</li><li>
Apply advanced knowledge of healthcare data standards (e.g. EDI 834/835/837, FHIR) to build compliant data interfaces.</li><li>
Implement automated data quality checks and validation processes to ensure completeness and accuracy of raw and transformed healthcare data.</li><li>
Collaborate with data scientists and analysts to design clean, reusable, and well-documented data marts that support ML pipelines and other advanced analytics, including Generative AI and large language model applications.</li><li>
Implement, document, and deploy data marts to Redshift and Snowflake using dbt.</li><li>
Manage source control, testing, and deployment using GitLab CI/CD, supporting collaborative, version-controlled data development.</li><li>
Apply Infrastructure as Code (IaC) and DevOps principles to automate and scale data pipeline deployment across environments.</li><li>
Support and enhance the data pipelines powering VNS Commercial Analytics products, ensuring consistent service levels.</li><li>
Work collaboratively within an agile development environment, participating in sprint planning, code reviews, and backlog grooming.</li><li>
Ensure compliance with data security, privacy, and governance standards, particularly those applicable to PHI and HIPAA.</li><li>
Participates in special projects and performs other duties as assigned.</li></ul>
Qualifications:
<p><b>
Licenses and Certifications:</b>
<br>
AWS Certified Data Engineer preferred
<br>
<br>
<b>Education:
</b><br>
Bachelor's Degree in Computer Science, Statistics, Informatics, Information Systems or a related field required Master's Degree preferred<br>
<br>
<b>Work Experience:</b></p><ul><li>
Three plus years in data engineering, analytics engineering, or equivalent experience required Experience building robust ETL/ELT pipelines that conform to industry data standards (e.g., HL7, X12), for healthcare or a related sector (e.g., finance, insurance) required</li><li>
Advanced SQL skills and experience with data modeling concepts (SCDs, normalization, dimensional modeling) required</li><li>
Proficiency in Python (for data manipulation, automation, or orchestration) required</li><li>
Experience with Git-based collaboration and CI/CD automation (preferably GitLab CI) required</li><li>
Experience with cloud data engineering (AWS, GCP, or Azure), with a preference for prior AWS Data Engineering experience (e.g., using S3, Glue, Lambda, Step Functions, Redshift) required</li><li>
Experience working in agile environments with cross-functional data teams required</li><li>
Familiarity with data governance, role-based access controls (RBAC), and HIPAA compliance preferred Significant experience working with healthcare data in industry preferred</li><li>
Standard formats (HL7, X12), and familiarity with healthcare data sources (e.g., EMR data, claims) preferred</li></ul>
Pay Range: USD $98,200.00 - USD $130,800.00 /Yr.</div>

Senior Engineer, Data Analytics Warehousing

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