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data engineer

Daniels Health

<div>
 <p>
  <strong>
   Who are we looking for?
  </strong>
 </p>
 <br/>
 <p>
  A hands-on Data Engineer who builds scalable ELT/ETL pipelines with strong SQL, Python, and Databricks skills. You're collaborative, organized in Agile environments, and passionate about clean data and engineering excellence.
 </p>
 <br/>
 <p>
  &nbsp;
 </p>
 <br/>
 <p>
  <strong>
   Why Daniels Health?
  </strong>
 </p>
 <br/>
 <p>
  Daniels Health is a mission-driven global innovator in healthcare waste management, operating across the U.S., Australia, Canada, Europe, and South Africa. We're experiencing significant global growth&amp;mdash;expanding our U.S. footprint through key facility acquisitions, strengthening our presence in Europe, and growing operations in Australia, Canada, and South Africa. As a consistently recognized industry leader, we're scaling our data and AI capabilities to power smarter decision-making, seamless integrations, and sustainable innovation across our rapidly expanding global operations.
 </p>
 <p>
  <p>
   <br/>
  </p>
  <strong>
   What you will do:
  </strong>
  <ul>
   <br/>
   <li>
    Architect and build ELT/ETL pipelines ingesting data from APIs, applications, databases, and SaaS platforms into Databricks
   </li>
   <br/>
   <li>
    Own bronze and silver layers using PySpark, SQL, and medallion architecture best practices
   </li>
   <br/>
   <li>
    Implement automated testing, monitoring, alerting, and data quality frameworks to ensure pipeline reliability
   </li>
   <br/>
   <li>
    Develop reverse ETL pipelines to move curated data back into operational systems
   </li>
   <br/>
   <li>
    Partner with Analytics Engineers, BI teams, and stakeholders to define data contracts and integrate new sources
   </li>
   <br/>
   <li>
    Champion data governance, security standards, and engineering best practices across the organization
   </li>
   <br/>
   <br/>
  </ul>
  <p>
   <br/>
  </p>
  <strong>
   What does success look like?
  </strong>
  <ul>
   <br/>
   <li>
    Success in this role means delivering reliable, well-tested Databricks pipelines for priority data sources, establishing monitoring/alerting and data quality checks, and documenting data contracts so Analytics, BI, and operational teams can confidently use curated datasets (including reverse ETL) to support decision-making and scalable global integrations
   </li>
   <br/>
   <br/>
  </ul>
  <p>
   <br/>
  </p>
  <strong>
   Candidate Profile:
  </strong>
  <ul>
   <br/>
   <li>
    3+ years of data engineering or software engineering experience
   </li>
   <br/>
   <li>
    Advanced SQL and Python expertise with proven ability to write efficient, scalable code
   </li>
   <br/>
   <li>
    Hands-on Databricks experience and strong understanding of medallion architecture
   </li>
   <br/>
   <li>
    Familiarity with GitHub, version control workflows, and automated testing practices
   </li>
   <br/>
   <li>
    Understanding of data quality frameworks and experience working in Agile/Scrum environments
   </li>
   <br/>
   <li>
    Special Requirements
   </li>
   <br/>
   <li>
    Occasional travel necessary to accommodate for the global and regional meetings / workshops
   </li>
   <br/>
   <li>
    Ability to occasionally join calls before / after traditional office hours
   </li>
   <br/>
   <br/>
  </ul>
 </p>
 <p>
  <br/>
 </p>
 <br/>
 <p>
  <strong>
   Be Part of Daniels Health's Global Growth Story
  </strong>
 </p>
 <br/>
 <p>
  &nbsp;
 </p>
 <br/>
 <p>
  If you want to build high‑quality data products that drive meaningful outcomes&amp;mdash;and you're energized by the idea of supporting a company scaling worldwide&amp;mdash;we'd love to meet you.
 </p>
 <br/>
 <p>
  &nbsp;
 </p>
 <br/>
 <p>
  Apply now and help shape the future of analytics at Daniels Health.
 </p>
 <br/>
 <p>
  &nbsp;
 </p>
 <br/>
 <p>
  <strong>
   Candidates must currently reside in the United States and be authorized to work without sponsorship.
  </strong>
 </p>
 <br/>
 <p>
  &nbsp;
 </p>
 <br/>
 <p>
  <em>
   Daniels Health &amp; Sharpsmart is an equal opportunity employer. In accordance with anti-discrimination law, it is the purpose of this policy to effectuate these principles and mandates. Daniels Health &amp; Sharpsmart prohibit discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, age, national origin, disability status, protected veteran status, or any other characteristic protected by law. Daniels Health &amp; Sharpsmart conforms to the spirit as well as to the letter of all applicable laws and regulations.
  </em>
 </p>
 <br/>
 <p>
  &nbsp;
 </p>
 <br/>
 <p>
  We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
 </p>
 <br/>
 <p>
  &nbsp;
 </p>
 <br/>
 <p>
  &nbsp;
 </p>
 <br/>
 <p>
  We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
 </p>
 <br/>
 <br/>
 <em>
  &ldquo;The pay range for this position is $117,555 to $149,025 salary.&nbsp;Actual compensation within this range will depend on factors unique to each candidate, such as prior experience, skill, certifications, and work location. Pay variations by location reflect local conditions and differences in the cost of labor.
 </em>
 <br/>
 <em>
  At Daniels Health, we are committed to supporting our employees&rsquo; well-being, work-life balance, and career growth through a comprehensive benefit package. Eligible employees enjoy benefits such as medical, dental, and vision insurance, retirement savings plans with company match contributions, paid vacation and sick time, wellness resources, life insurance, and professional development opportunities.&rdquo;
 </em>
</div>


Data Engineer

Capital One

<div>Lead Data Engineer<p></p><p>
Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking <b>Data Engineers</b> who are passionate about marrying data with emerging technologies. As a Capital One Lead Data Engineer, you&rsquo;ll have the opportunity to be on the forefront of driving a major transformation within Capital One.</p><p></p><p><b>
What You&rsquo;ll Do:</b></p><ul><li><p>
Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies</p></li><li><p>
Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems</p></li><li><p>
Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake</p></li><li><p>
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal &amp; external technology communities, and mentoring other members of the engineering community</p></li><li><p>
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment</p></li><li><p>
Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance</p></li></ul><p></p><p><b>
Basic Qualifications:</b></p><ul><li><p>
Bachelor&rsquo;s Degree</p></li><li><p>
At least 4 years of experience in application development (Internship experience does not apply)</p></li><li><p>
At least 2 years of experience in big data technologies</p></li><li><p>
At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)</p></li></ul><p></p><p><b>
Preferred Qualifications:</b></p><ul><li><p>
7+ years of experience in application development including Python, SQL, Scala, or Java</p></li><li><p>
4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)</p></li><li><p>
4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)</p></li><li><p>
4+ year experience working on real-time data and streaming applications</p></li><li><p>
4+ years of experience with NoSQL implementation (Mongo, Cassandra)</p></li><li><p>
4+ years of data warehousing experience (Redshift or Snowflake)</p></li><li><p>
4+ years of experience with UNIX/Linux including basic commands and shell scripting</p></li><li><p>
2+ years of experience with Agile engineering practices</p></li></ul><p></p><p><b><i>
At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).</i></b></p><p></p><p>
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.</p><p></p>
Chicago, IL: $179,400 - $204,700 for Lead Data Engineer<p></p><p><br>
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.</p><p></p>
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.<p></p><p>
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.</p><p></p>
This role is expected to accept applications for a minimum of 5 business days.<p></p>
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.<p></p><p>
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.</p><p></p><p>
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com</p><p></p><p>
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.</p><p></p><p>
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</p></div>

Lead Data Engineer

West Monroe

<div><div><p><b>Are you ready to make an impact?</b></p></div><p>
West Monroe is looking for a <b>Senior Data Engineer</b><b>,</b> to work with our clients to solve technology needs with expertise in <b>Databricks or Snowflake</b>. This is an exciting opportunity to work within our Technology and Experience practice and project teams to deliver impact for our clients in data engineering and cloud solutions.</p>
<p><b>
Responsibilities</b><b>:</b></p>
<ul>
<li>Collaborate closely with product teams to deliver impact</li>
<li>Implement advanced data engineering strategies leveraging Databricks and/or Snowflake platform capabilities</li>
<li>Work on complex, large-scale data transformation initiatives for enterprise clients</li>
<li>Understanding customer objectives, goals and challenges to engineer innovative solutions</li>
<li>Create and evangelize innovative architectural patterns and reusable solution frameworks</li>
<li>Mentor and develop a high-performing team of data engineering professionals</li>
<li>Implement advanced data solutions using Databricks and/or Snowflake, focusing on scalability, performance, and business value</li>
</ul>
<p><b>Qualifications</b><b>:</b></p>
<ul>
<li>5 years of progressive experience in data engineering, with expertise in Databricks and or Snowflake platform.</li>
<li>Certifications in Databricks, Azure, and/or AWS data technologies preferred.</li>
<li>Experience in Databrick's core components like DataFrames, Datasets, Spark SQL, Delta Lake, Databricks Notebook, DBFS, and Databricks Connect.</li>
<li>Expeirence in Snowflake's core components like Snowflake Worksheets, Virtual Warehouses, Snowflake Tables, Secure Data Sharing, Snowpipe, Time Travel, and Streams &amp; Tasks.</li>
<li>Experience in machine learning pipelines and data engineering frameworks</li>
<li>Experience in implementing enterprise-scale data platforms as part of a collaborative team.</li>
<li>Proven ability to translate complex technical concepts for business leadership</li>
<li>Knowledge of data architecture principles, including data modelling, ETL processes, data governance, data quality, privacy and security controls.</li>
<li>Experience working in a fast-paced, collaborative, and team=based project environment.</li>
<li>Consulting firm experience preferred</li>
<li>Willingness to travel to client sites up to 50%</li>
<li>Hybrid work environment &ndash; 2x/week in office</li></ul><p></p><div><br>
<h3 class="jobSectionHeader"><b>
Other consultancies talk at you.</b><br>
<b>At West Monroe, we work with you.</b></h3>
<p>
We're a global business and technology consulting firm passionate about creating measurable value for our clients, delivering real-world solutions.</p>
<p>
The combination of business and technology is not new, but how we bring them together is unique. We're fluent in both. We know that technology alone is not the answer, but how we apply it is. We rely on data to constantly adapt and solve new challenges. Actions that work today with outcomes that generate value for years to come.</p>
<p>
At West Monroe, we zero in on the heart of the opportunity, getting to results faster and preparing people for what's next.</p>
<p>
You'll feel the difference in how we work. We show up personally. We're right there in the room with you, co-creating through the challenges. With West Monroe, collaboration isn't a lofty promise, but a daily action. We work together with you to turn vision into clear action with lasting impact.</p><br>
<p></p>
<p><b>
West Monroe</b><b> </b><b>is an Equal Employment Opportunity Employer</b><br>
We believe in treating each employee and applicant for employment fairly and with dignity. We base our employment decisions on merit, experience, and potential, without regard to race, color, national origin, sex, sexual orientation, gender identity, marital status, age, religion, disability, veteran status, or any other characteristic prohibited by federal, state or local law. To learn more about diversity, equity and inclusion at West Monroe, visit www.westmonroe.com/inclusion. If you require a reasonable accommodation to participate in our recruiting process, please inquire by sending an email to recruiting@westmonroe.com.</p>
<p>
Please review our current policy regarding use of generative artificial intelligence during the application process.</p>
<p>
If you are based in California, we encourage you to read West Monroe's Notice at Collection for California residents, provided pursuant to the California Consumer Privacy Act (CCPA) and linked here.</p></div></div>

Senior Data Engineer

Capgemini

<div><div><div><p>Chicago</p><div>
Senior Data Engineer</div><p>
</p></div></div><p></p><div><div><div><div><div><p>
At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world&rsquo;s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&amp;D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.
</p><div><div><div><div>Location</div></div><div><p>
This is an onsite role based in Chicago, IL or NYC</p></div></div><div><div><div>
About the job you're considering:</div></div><div><p>
As a Senior Data Engineer, you will design and build distributed data‑processing solutions and highly scalable database systems to support various business use cases, including reporting, product analytics, marketing optimization, and financial reporting. You will contribute as part of a self‑organized team of experienced data engineers working in a challenging and innovative environment, creating the foundation for decision‑making at a company that processes billions of events per day.</p><p>
You will investigate, design, and implement solutions for complex technical challenges. You will also provide guidance, direction, and leadership to the development team to help achieve project goals.</p></div></div><div><div><div>
Your role:</div></div><div><ul><li>
Obtain tasks from the Project Lead or Team Lead (TL), prepare functional and design specifications, and review them with all stakeholders.</li><li>
Ensure that assigned areas are delivered within set deadlines and meet required quality standards.</li><li>
Provide effort estimations, align task duration with the manager, and contribute to the project plan for your assigned scope.</li><li>
Analyze alternative solutions and make implementation decisions based on technical expertise and experience.</li><li>
Lead the functional and architectural design for assigned areas, ensuring alignment with architectural and design requirements.</li><li>
Identify area‑level risks and implement appropriate mitigation plans.</li><li>
Resolve crisis situations within your area of responsibility (AOR).</li><li>
Initiate and conduct code reviews; create and enforce code standards, conventions, and guidelines.</li><li>
Suggest technical and functional improvements to enhance the product.</li><li>
Continuously improve your professional skills.</li><li>
Collaborate effectively with cross‑functional teams.</li></ul></div></div><div><div><div>
Your skills and experience:</div></div><div><ul><li>
6&ndash;8 years of professional experience as a Data Engineer.</li><li>
Strong experience with Apache Spark, including techniques for optimizing Spark workloads.</li><li>
Solid experience with Spark Structured Streaming.</li><li>
Strong knowledge of Spark SQL and query performance optimization.</li><li>
Hands‑on experience with Terraform and Databricks Asset Bundles.</li><li>
Ability to work independently, prioritize effectively, and proactively identify improvement opportunities.</li><li>
Comfortable working in a loosely defined scope, contributing to both execution and prioritization.</li><li>
Excellent communication skills and experience collaborating with both technical and non‑technical teams.</li><li>
Ability to clear a HackerRank coding test.</li></ul></div></div><div><div><div>
Nice to have:</div></div><div><ul><li>
Experience with application development and Databricks Apps.</li><li>
Comfort working in Linux environments.</li><li>
Background in financial markets such as market making, trading, or related domains.</li><li>
Databricks certification.</li></ul></div></div></div><p>
The base compensation range for this role in the posted location is: $65,200 - $169,000</p><p>
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.</p><p>
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.</p><p>
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.</p><p>
It is not typical for candidates to be hired at or near the top of the posted compensation range.</p><p>
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.</p><p>
</p><p>Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
</p><ul><li>Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave</li></ul><ul><li>
Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)</li><li>
Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)</li><li>
Life and disability insurance</li><li>
Employee assistance programs</li><li>
Other benefits as provided by local policy and eligibility</li></ul><p>
Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini&rsquo;s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.</p><p>
</p><p>Disclaimers</p><p>
Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.</p><p>
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.</p><p>
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.</p><p></p><p><br>
</p><p>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</p><p>
</p></div></div><div><div><div><div><div>Ref. code</div><div>
436868-en_US</div></div><div><div>
Posted on</div><div>
18 Mar 2026</div></div><div><div>
Experience level</div><div>
Experienced Professionals</div></div><div><div>
Contract type</div><div>
Permanent</div></div><div><div>
Location</div><div>
Chicago</div></div><div><div>
Business unit</div><div>
Engineering and RandD Services</div></div><div><div>
Brand</div><div>
Capgemini Engineering</div></div><div><div>
Professional communities</div><div>
Software Engineering</div></div></div></div></div></div></div></div></div><p></p>

Morningstar

<div><div><div><p><b>About the Role</b></p></div><div><p>
We are seeking a highly experienced <b>Snowflake</b><b> </b><b>Engineer</b><b> </b>with deep expertise in Snowflake system optimization, enterprise data architecture, and scalable pipeline development.</p></div><p></p><div><p>
This role will be responsible for governing the Snowflake data architecture, fine-tuning system performance, and building scalable data pipelines that power analytics and business intelligence across the Marketing and Sales Organizations.</p></div><p></p><div><p>
The ideal candidate combines hands-on engineering expertise with architectural vision and performance optimization experience in Snowflake environments.</p><p></p><p><b>
Location: </b>Chicago, IL (Hybrid policy- 4 days onsite)</p><p></p><div><p><b>
What Success Looks Like</b></p></div><div><ul><li>
A scalable, well-governed Snowflake architecture</li><li>
Optimized compute cost and improved query performance</li><li>
Reliable, observable data pipelines</li><li>
Clean, standardized, and business-aligned data models</li><li>
Strong cross-functional collaboration</li><li>
Creation of detailed &amp; practical documentation for data-consumers</li></ul></div></div><p></p><div><p><b>
Responsibilities</b></p></div><div><ul><li>
Design and implement enterprise-grade Snowflake architecture</li><li>
Define data modeling standards and Snowflake best practices</li><li>
Design scalable ingestion frameworks for structured and semi-structured data</li><li>
Architect solutions for performance, scalability, cost optimization, and governance</li><li>
Establish data lifecycle management, retention, and archival strategies</li><li>
Partner with analytics, BI, and data science teams to translate business requirements into scalable data solutions</li><li>
Maintain clear documentation for data lineage and architecture</li><li>
Optimize warehouse sizing and workload management strategies</li><li>
Analyze query plans and improve performance using clustering, pruning, and micro-partition strategies</li><li>
Improve cost efficiency through compute optimization and storage management</li><li>
Implement monitoring frameworks for performance and usage tracking</li><li>
Tune ingestion processes</li><li>
Design, build, and maintain scalable ETL/ELT pipelines</li><li>
Develop orchestration workflows using Airflow, dbt, or similar tools</li><li>
Support batch and near real-time data ingestion</li><li>
Implement data quality checks, validation rules, and observability</li><li>
Troubleshoot and resolve performance bottlenecks across pipelines</li></ul></div></div><p></p><div><div><p><b>
Required Qualifications</b></p></div><div><ul><li>
5+ years of experience in Data Architecture</li><li>
Proven experience designing Snowflake data architecture at scale</li><li>
Advanced SQL and query optimization expertise</li><li>
Strong knowledge of data warehousing concepts and modeling techniques</li><li>
Experience with cloud platforms (AWS, Azure, or GCP)</li><li>
Experience building enterprise-grade ETL/ELT pipelines</li></ul></div><p></p><div><p><b>
Preferred Qualifications</b></p></div><div><ul><li>
Snowflake certification(s)</li><li>
Experience ingesting and cleaning Marketing, Salesforce, &amp; Eloqua datasets</li><li>
Experience designing data governance frameworks and compliance standards</li><li>
Experience implementing multi-environment (dev/test/prod) Snowflake setups</li><li>
Experience with data streaming technologies (Kafka, Kinesis, etc.)</li><li>
Experience with cost optimization for large-scale cloud data platforms</li></ul></div></div><p></p><p><b>
Compensation and Benefits</b></p><p>
At Morningstar we believe people are at their best when they are at their healthiest. That&rsquo;s why we champion your wellness through a wide range of programs that support all stages of your personal and professional life. Here are some examples of the offerings we provide:</p><ul><li><p>
Financial Health</p><ul><li><p>
100% 401k match up to 6% of salary</p></li></ul><ul><li><p>
Stock Ownership Potential</p></li><li><p>
Company provided life insurance - 1x salary + commission</p></li></ul></li><li><p>
Physical Health</p><ul><li><p>
Comprehensive health benefits (medical/dental/vision) including potential premium discounts and company-provided HSA contributions (up to $500-$2,000 annually) for specific plans and coverages</p></li><li><p>
Additional medical Wellness Incentives - up to $300-$600 annual</p></li><li><p>
Company-provided long- and short-term disability insurance</p></li></ul></li><li><p>
Emotional Health</p><ul><li><p>
Trust-Based Time Off</p></li><li><p>
6-week Paid Sabbatical Program</p></li><li><p>
6-Week Paid Family Caregiving Leave</p></li><li><p>
Competitive 8-24 Week Paid Parental Leave</p></li><li><p>
Adoption Assistance</p></li><li><p>
Leadership Coaching &amp; Formal Mentorship Opportunities</p></li><li><p>
Annual Flex Stipend - $1000 annually to cover personal education &amp; well-being expenses
</p></li><li><p>Tuition Reimbursement</p></li></ul></li><li><p>
Social Health</p><ul><li><p>
Charitable Matching Gifts program</p></li><li><p>
Dollars for Doers volunteer program</p></li><li><p>
Paid volunteering days</p></li><li><p>
15+ Employee Resource &amp; Affinity Groups</p></li></ul></li></ul><p></p><p><b>
Total Cash Compensation Range</b></p>
$114,100.00 - 193,975.00 USD Annual<p><b>
Inclusive of annual base salary and target incentive</b></p><p>
Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.</p><p></p>
001_MstarInc Morningstar Inc. Legal Entity</div>

Senior Snowflake Data Engineer

The Hartford

<div>Sr Staff Data Engineer - GE07DE<p>
We&rsquo;re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals &ndash; and to help others accomplish theirs, too. Join our team as we help shape the future.<br>
</p><p></p><p>Join our team as a Sr GenAI Data Engineer and lead the charge in developing cutting-edge AI solutions and data engineering strategies. Embrace our core values of innovation, collaboration, and excellence as you unlock unparalleled growth opportunities in the dynamic field of AI and data engineering. Shape the future of technology with us! Apply now to be part of our innovative journey and make a significant impact!</p><p>
This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).</p><h2 class="jobSectionHeader"><b>
Key Responsibilities:</b></h2><p>
Develop AI-driven systems to improve data capabilities, ensuring compliance with industry best practices. Implement efficient Retrieval-Augmented Generation (RAG) architectures and integrate with enterprise data infrastructure. Collaborate with cross-functional teams to integrate solutions into operational processes and systems supporting various functions. Stay up to date with industry advancements in AI and apply modern technologies and methodologies to our systems. Design, build and maintain scalable and robust real-time data streaming pipelines using technologies such as GCP, Vertex AI, S3, AWS Bedrock, Spark streaming, or similar. Develop data domains and data products for various consumption archetypes including Reporting, Data Science, AI/ML, Analytics etc. Ensure the reliability, availability, and scalability of data pipelines and systems through effective monitoring, alerting, and incident management. Implement best practices in reliability engineering, including redundancy, fault tolerance, and disaster recovery strategies. Collaborate closely with DevOps and infrastructure teams to ensure seamless deployment, operation, and maintenance of data systems. Mentor junior team members and engage in communities of practice to deliver high-quality data and AI solutions while promoting best practices, standards, and adoption of reusable patterns. Apply AI solutions to insurance-specific data use cases and challenges. Partner with architects and stakeholders to influence and implement the vision of the AI and data pipelines while safeguarding the integrity and scalability of the environment.</p><p><b>
Required Skills &amp; Experience</b>:</p><ul><li>
8+ years&rsquo; Strong hands-on experience programming skills in Python.</li><li>
7+ years of data engineering Strong hands-on experience including Data solutions, SQL and NoSQL, Snowflake, ETL/ELT tools, CICD, Bigdata, Cloud Technologies (AWS/Google/AZURE), Python/Spark.</li><li>
3+ years of data engineering experience focused on supporting Generative AI technologies.</li><li>
2+ years Strong hands-on experience implementing production ready enterprise grade GenAI data solutions.</li><li>
3+ years&rsquo; experience in implementing Retrieval-Augmented Generation (RAG) pipelines, integrating retrieval mechanisms with language models.</li><li>
3+ years&rsquo; Experience of vector databases and graph databases, including implementation and optimization.</li><li>
3+ years&rsquo; Experience in processing and leveraging unstructured data for GenAI applications.</li><li>
3+ years&rsquo; Proficiency in implementing scalable AI driven data systems supporting agentic solution (AWS Lambda, S3, EC2, Langchain, Langgraph).</li><li>
3+ years&rsquo; Experience with building AI pipelines that bring together structured, semi-structured and unstructured data. This includes pre-processing with extraction, chunking, embedding and grounding strategies, semantic modeling, and getting the data ready for Models and Agentic solutions.</li></ul><p><b><br>
Nice to Have:</b></p><ul><li>
Experience with prompt engineering techniques for large language models.</li><li>
Experience in implementing data governance practices, including Data Quality, Lineage, Data Catalogue capture, holistically, strategically, and dynamically on a large-scale data platform.</li><li>
Experience in multi cloud hybrid AI solutions.</li><li>
AI Certifications Experience in P&amp;C or Employee Benefits industry Knowledge of natural language processing (NLP) and computer vision technologies.</li><li>
Contributions to open-source AI projects or research publications in the field of Generative AI.</li></ul><p><b>
Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.</b></p><p><b>
Compensation</b></p><p>
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford&rsquo;s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:</p>
$135,040 - $202,560<p>
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age</p></div>

Lead Gen AI Data Engineer

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

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321 data engineer jobs In Chicago

Data Engineer

Lead Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Snowflake Data Engineer

Lead Gen AI Data Engineer

HEALTHCARE DATA ANALYST/DATA ENGINEER