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data engineer

Sprout Social

<div><p>Sprout Social is looking for a Data Engineer to join our Data Foundations team. This team builds the internal data infrastructure, pipelines, and products that empower analytics, data science, and business stakeholders across Sprout. While our software engineers are focused on delivering customer-facing platform features, our data engineers specialize in ensuring data is reliable, well-modeled, and accessible to fuel smarter decisions and internal innovation.</p>
<h2 class="jobSectionHeader"><b>
Why join Sprout Social's Data Engineering team?</b></h2>
<p>
Sprout Social empowers businesses worldwide to harness the immense potential of social media in today's digital-first world. Processing over one billion social messages daily, our platform delivers insights and actionable intelligence to more than 30,000 brands. These insights guide strategic decisions, drive growth, and foster deeper connections with customers.</p>
<p>
Our Data Foundations team plays a critical role in this by enabling Sprout's internal stakeholders&mdash;analytics, product, finance, sales, and beyond&mdash;to work with trustworthy, scalable, and reusable data. You'll be helping build the pipelines, curated datasets, and data products that unlock value across the business and extend Sprout's data-driven culture.</p>
<h2 class="jobSectionHeader"><b>
What you'll do</b></h2>
<ul><li>Design and maintain ETL/ELT pipelines and data workflows that enable reliable, timely, and scalable data flows.</li>
<li>Collaborate with analysts, scientists, and business stakeholders to deliver curated datasets and internal data products.</li>
<li>Implement best practices in schema design, data modeling, and metadata management.</li>
<li>Own and evolve internal data infrastructure for quality, monitoring, and discoverability.</li>
<li>Partner with software engineering teams where application data intersects with internal pipelines&mdash;ensuring business-critical data is clean, structured, and usable.</li>
</ul><h2 class="jobSectionHeader"><b>What you'll bring</b></h2>
<p>
We're looking for a data engineer with a strong foundation in data infrastructure and a passion for enabling others to succeed through high-quality data.</p>
<p>
The minimum qualifications for this role include:</p>
<ul>
<li>2+ years of professional experience in data engineering or at least 2 years of hands on experience building, deploying and maintaining production-grade data infrastructure and pipelines</li>
<li>Demonstrated proficiency in SQL (e.g. MySQL, PostgreSQL) and data modeling; with experience in a variety of business domains. Proficiency in Python.</li>
<li>Experience working in relational and non-relational databases</li>
<li>Hands on experience with ELT + transformation frameworks (e.g., dbt) and with orchestrators (e.g., Airflow, dbt. dagster).</li>
<li>Experience building internal data products (curated datasets, semantic layers, or reusable modeling frameworks).</li>
<li>Proven experience applying standard software development practice to data engineering, including testing, version control, code reviews, incident management, incident CI/CD, documentation, and observability for data.</li>
</ul>
<p>Preferred qualifications for this role include:</p>
<ul>
<li>Experience building and maintaining data infrastructure using transformations with dbt or similar tools(and managing semantic layers for Business intelligence (BI) dashboards (e.g. Tableau, Hex, Looker).</li>
<li>Experience implementing data quality frameworks, testing methodologies, and monitoring practices to ensure data integrity.</li>
<li>Hands-on experience with event-driven or streaming frameworks (Kafka or NSQ, Kinesis, Pub/Sub).</li>
<li>Proven ability to collaborate withcross-functional teams and effectively communicate complex technical concepts to non-technical stakeholders.</li>
<li>Direct experience with cloud infrastructure (AWS, GCP, or Azure) and implementing cost optimization strategies for data platforms.</li>
</ul><h2 class="jobSectionHeader"><b>How you'll grow</b></h2>
<p>
Within 1 month, you'll plant your roots, including:</p>
<ul>
<li>Complete Sprout's New Hire onboarding program and meet peers across Data Foundations, Data Science, Engineering.</li>
<li>Learn the team's existing data stack, pipelines, and modeling frameworks.</li>
<li>Shadow teammates to understand how internal stakeholders use curated datasets today.</li>
<li>Partner with your manager to scope your first pipeline or modeling task to own.</li>
</ul>
<p>Within 3 months, you'll start hitting your stride by:</p>
<ul>
<li>Delivering your first production-ready pipeline, dataset, or internal data product.</li>
<li>Collaborating with analysts and data scientists on requirements for reusable modeling layers.</li>
<li>Gaining deeper familiarity with Sprout's data warehouse(s) and orchestration environment&mdash;and starting to suggest improvements.</li>
</ul>
<p>Within 12 months, you'll make this role your own by:</p>
<ul>
<li>Taking technical ownership of a set of pipelines or data products relied on by stakeholders across the business.</li>
<li>Proposing and implementing improvements to our pipelines for scalability, reliability, or cost efficiency.</li>
<li>Acting as a mentor to newer members of the Data Foundations team while continuing to grow your own expertise.</li>
<li>Helping shape the team's roadmap and long-term data foundations strategy.</li>
</ul>
<p>Of course what is outlined above is the ideal timeline, but things may shift based on business needs and other projects and tasks could be added at the discretion of your manager.</p>
<p><b>
Our Benefits Program</b></p>
<p>
We're proud to regularly be recognized for our team, product and culture. Our benefits program includes:</p>
<ul>
<li><p>Insurance and benefit options that are built for both individuals and families</p>
</li>
<li><p>Progressive policies to support work/life balance, like our flexible paid time off and parental leave program</p>
</li>
<li><p>High-quality and well-maintained equipment&mdash;your computer will never prevent you from doing your best</p>
</li>
<li><p>Wellness initiatives to ensure both health and mental well-being of our team</p>
</li>
<li><p>Ongoing education and development opportunities via our Grow@Sprout program and employee-led diversity, equity and inclusion initiatives.</p>
</li>
<li><p>Growing corporate social responsibility program that is driven by the involvement and passion of our team members</p>
</li>
<li><p>Beautiful, convenient and state-of-the-art offices in Chicago's Loop and downtown Seattle, for those who prefer an office setting</p>
</li>
</ul><p><i>Whenever possible, Sprout wants to provide our team with the flexibility to work in the location that makes the most sense for them. Sprout maintains a remote workforce in many places in the United States. However, we are not set up in all states, so please look at the drop-down box in our application to see whether your state is listed. Few roles require an office setting. If your position requires a physical presence in a Sprout office, it will be evident in the job listing and your offer letter.</i></p><br>
<p>
Individual base pay is based on various factors, including work location, relevant experience and skills, the responsibility of the role, and job duties/requirements. In the United States, we have two geographic pay zones. You can confirm the pay zone for your specific location with your recruiter during your interview process. For this role, our current base pay ranges for new hires in each zone are:</p>
Zone 1 (New York, California, Washington): $133,056 (min), $166,320 (mid), $199,584 (max) USD annually<br>
<ul><li><ul><li>
</li>
<li>Zone 2 (All other US states): $121,000 (min), $151,200 (mid), $181,400 (max) USD annually</li>
</ul>
</li></ul><p>The listed ranges represent the full earning potential in this position. Starting salaries for well-qualified new hires are typically around the midpoint of the range. These ranges were determined by a market-based compensation approach; we used data from trusted third-party compensation sources to set equitable, consistent, and competitive ranges. We also evaluate compensation bi-annually, identify any changes in the market and make adjustments to our ranges and existing employee compensation as needed.</p><br>
<p></p>
<p>
Base pay is only one element of an employee's total compensation at Sprout. Every Sprout team member has an opportunity to receive restricted stock units (RSUs) under Sprout's equity plan. Employees (and their dependents) are covered by medical, dental, vision, basic life, accidental death, and dismemberment insurance, and Modern Health (a wellness benefit). Employees are able to enroll in Sprout's company's 401k plan, in which Sprout will match 50% of your contributions up to 6% with a maximum contribution. Sprout offers &quot;Flexible Paid Time Off&quot; and ten paid holidays. We have outlined the various components to an employee's full compensation package here to help you to understand our total rewards package.</p>
<p>
Sprout Social is proud to be an Equal Opportunity Employer and an Affirmative Action Employer. We do not discriminate based on identity<b>-</b> race, color, religion, national origin or ancestry, sex (including sexual identity), age, physical or mental disability, pregnancy, veteran or military status, unfavorable discharge from military service, genetic information, sexual orientation, marital status, order of protection status, citizenship status, arrest record or expunged or sealed convictions, or any other legally recognized protected basis under federal, state, or local law. Learn more about our commitment to diversity, equity and inclusion in our latest DEI Report.</p>
<p>
If you require a reasonable accommodation for any part of the interview process or to submit your application, please email us at accommodations@sproutsocial.com. Include the nature of your request and your preferred contact information. We'll do everything we can to support your success during our recruitment process while upholding your privacy. Please note that only inquiries regarding accommodations will receive a response from this email address; other inquiries will not be addressed (e.g., you send your resume but are not requesting an accommodation).</p>
<p>
For more information about our commitment to equal employment opportunity, please click here (1) Equal Opportunity Employment Poster (2) Sprout Social's Affirmative Action Statement (3) Pay Transparency Statement.</p>
<p>
Additionally, Sprout Social participates in the E-Verify program in certain locations, as required by law.</p>
<p>
#LI-REMOTE</p><div><p>
Sprout Social Inc. and its subsidiaries process personal data submitted through your application to assess your qualifications for employment and to inform our hiring decision and, where applicable, for required governmental reporting. For more information, please review Sprout's Global Applicant Privacy Notice.</p></div></div><div></div>

Data Engineer

Old National Bank

<div>Overview:
<div>
Old National Bank has been serving clients and communities since 1834. With over $70 billion in total assets, we are a regional powerhouse deeply rooted in the communities we serve. As a trusted partner, we thrive on helping our clients achieve their goals and dreams, and we are committed to social responsibility and investing in our communities through volunteering and charitable giving.</div><div></div><div><i><br>
We continually seek highly motivated and talented individuals as our people are critical to our success. In return, we offer competitive compensation with our salary and incentive program, in addition to medical, dental, and vision insurance. 401K, continuing education opportunities and an employee assistance program are also included in our benefit suite. Old National also offers a variety of </i><i>Impact Network Groups</i><i> led by team members who are passionate about driving engagement, creating awareness of diverse backgrounds and experiences, and building inclusion across the organization. We offer a unique opportunity to join a growing, community and client-focused company that is firmly rooted in its core values.</i></div>
Responsibilities:
<div><b>
Job Summary</b></div><div></div><div><br>
The Sr. Data Protection Engineer is responsible for leading the organization's efforts to identify, assess, and evaluate potential vulnerabilities and threats to the organization's Classified data. This includes conducting regular data risk assessments, recommending controls and countermeasures to mitigate identified risks, and monitoring the effectiveness of the implemented security measures.</div><div></div><div><b><br>
Salary Range</b></div><div>
The annual salary range for this position is $60,000.00 - $121,300.00. Final compensation will be determined by location, skills, experience, qualifications and the career level at which the position is filled.</div><div></div><div><b><br>
Key Accountabilities</b></div><br>
<div></div><ul><li>
Develop and Implement data protection strategies and initiatives, including classification and handling, data access controls, inventory, encryption, and retention.</li><li>
Work closely with other stakeholders to enforce data protection related policy and respond to regulatory requirements.</li><li>
Develop and maintain data security policies, procedures, standards, and ensure that they are followed by the entire organization</li><li>
Work with cross-functional teams to create and maintain data inventories and data flows, and manage data sharing controls</li><li>
Drive the design and implementation of data access controls, ensuring only authorized access to Classified data</li><li>
CO-develop and implement data retention policy and procedures, ensure compliance with internal policy and external regulations</li><li>
Enforce data encryption standards and strategies to secure data at rest and in transit</li><li>
Lead incident response efforts related to data breach and work with stakeholders to mitigate impact</li><li>
Lead and conduct regular data risk assessments to identify potential vulnerabilities and threats to the organization's data and information systems</li><li>
Stay abreast of new developments in the field of cybersecurity and ensure that the organization's risk assessment and data security processes are aligned with industry standards and best practices</li><li>
Represent the organization in external meetings and interactions with clients, stakeholders, and other industry experts as needed</li></ul><div><b>
Key Competencies for Position</b></div><br>
<div></div><ul><li>
Proven experience with data discovery, classification, handling, access, inventory, and retention</li><li>
Proven experience with data protection technologies, such as encryption, tokenization and data loss prevention tools.</li><li>
Experience with designing and implementing data security solutions for enterprise environments</li><li>
Strong understanding of data protection regulations and standards.</li><li>
Experience in developing and implementing data protection strategies and frameworks.</li><li>
Excellent analytical and problem-solving skills.</li><li>
Strong communication and interpersonal skills.</li><li>
Ability to work cross-functionally and collaborate with various teams.</li></ul><div></div><div><b><br>
Qualifications and Education Requirements</b></div><br>
<div></div><ul><li>
Bachelor&rsquo;s degree in information security, Risk Management, or a related field.</li><li>
Minimum of 5 years of experience in data protection, information security, or risk management.</li><li>
Familiarity with data governance frameworks (e.g., DCAM, NIST Privacy Framework, FFIEC).</li></ul></div>

Data Protection Engineer, Sr.

Invenergy

<div><div>Invenergy drives innovation in energy. Powered by decades of entrepreneurial experience and unparalleled execution, we solve the energy challenges facing our customers and communities. We provide power generation and storage solutions at scale around the world to create a cleaner energy future. We develop. We build. We own. We operate. We are Invenergy.</div><div></div><div>
This position will be open for application for at least 3 calendar days from the posting date. This position will remain open for application based on business need, which may be before or after the 3-day posting window.</div><div></div><div><div><div><div><div><div><div><div>
Job Description</div></div></div></div></div></div></div></div><div></div><div><div>
Position Overview</div><div>
The Data Scientist, Operations Engineering plays a critical role in delivering operational intelligence across a large fleet of solar and battery storage projects. This role leverages advanced statistical methods and modeling techniques to analyze large-scale datasets, uncover performance trends, and generate actionable insights that enhance project efficiency and reliability.</div><div></div><div>
Core Responsibilities</div></div><div><ul><li><div>
Analyze large-scale operational data from solar and battery storage assets to identify trends, anomalies, and opportunities for performance improvement.</div></li></ul></div><div><ul><li><div>
Develop and deploy predictive models to support proactive maintenance, fault detection, and system optimization.</div></li></ul></div><div><ul><li><div>
Collaborate with cross-functional teams including performance engineering, asset management, and data analysts to translate insights into impactful solutions.</div></li></ul></div><div><ul><li><div>
Design and implement dashboards and visualizations to communicate findings to technical and non-technical stakeholders.</div></li></ul></div><div><ul><li><div>
Continuously improve analytical methodologies and tools to enhance data-driven decision-making.</div></li></ul><div></div><div><div><div>
Required Skills</div></div><div><ul><li><div>
Bachelor&rsquo;s degree in Data Science or related discipline, or 2+ years of work experience in Data Science position</div></li></ul></div><div><ul><li><div>
Proficiency in Python and SQL</div></li></ul></div><div><ul><li><div>
Experience finding insight from structured and unstructured data sets</div></li></ul></div></div><div><div><ul><li><div>
Excellent understanding of machine learning and AI techniques and algorithms</div></li></ul></div><div><ul><li><div>
Experience deploying large scale models to production including monitoring capabilities and methods for continuous improvement</div></li></ul></div><div><ul><li><div>
Strong communication and visualization skills</div></li><li>
Eligible to work in the United States without the need for employer visa sponsorship now or in the future.</li></ul></div><div><div>
Preferred Skills</div></div><div><ul><li><div>
Experience working with time series data within the PI software suite</div></li></ul></div><div><ul><li><div>
Familiarity with data science cloud platforms including Azure ML or Databricks</div></li></ul></div><div><ul><li><div>
Proficiency with BI visualization tools, such as Power BI</div></li></ul></div><div><ul><li><div>
Familiarity with cloud-based data storage</div></li></ul></div><div><ul><li><div>
Experience working in CI/CD workflows</div></li></ul></div><div><ul><li><div>
Familiar with solar or storage energy industry</div></li></ul></div></div></div><div></div><div><div><div><div><div><div><div><div>
Base Pay</div></div></div></div></div></div></div></div><div></div><div><div>
$80,000 &ndash; $100,000 USD Annual<br>
Bonus: 0% - 15%</div></div><div></div><div>
The base pay range reflects the minimum and maximum target salary for the position. Invenergy considers a number of factors when determining base pay offers such as the scope and responsibilities of the position and the candidate's experience, education and skills.<br>
<br>
In addition to base pay, the total annual compensation package may also include eligibility to participate in our bonus program(s) which are designed to reward individual and company performance. Your recruiter can share more about bonus eligibility for this position during the hiring process.<br>
<br>
Invenergy offers a variety of other benefits including medical, dental and vision insurance, 401k, profit sharing, paid time off, etc.</div><div></div><div>
Invenergy LLC is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to, among other things, race, color, religion, sex, sexual orientation, gender identity, national origin, age, status as a protected veteran, or disability.</div></div>

Data Scientist, Operations Engineering

Motorola Solutions

<div><h2 class="jobSectionHeader"><b>Company Overview</b></h2><p>
At Motorola Solutions, we believe that everything starts with our people. We&rsquo;re a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. Our critical communications, video security and command center technologies support public safety agencies and enterprises alike, enabling the coordination that&rsquo;s critical for safer communities, safer schools, safer hospitals and safer businesses. Connect with a career that matters, and help us build a safer future.<br>
</p><h2 class="jobSectionHeader"><br>
<b>Department Overview</b></h2>
Motorola Solutions<h2 class="jobSectionHeader"><br>
<b>
Job Description</b></h2><ul><li>
Develop AI text processing algorithms that enable free text and voicebased interactions between humans and large computer systems.
</li><li>Build AI algorithms that take unstructured data and convert them to structured data that enable humans to search over big amounts of data.
</li><li>Architect a voice-based chat system that allows individuals to perform location search, person search and other day-to-day activities.
</li><li>Design new ways to create parsers, that can be used for any general search-based applications.
</li><li>Analysis of human-computer interaction patterns to optimize language-based interfaces.
</li><li>Telecommuting permitted from anywhere within the U.S.
</li></ul><p></p><p>Target Base Salary Range: $142,210 - $147,000 USD</p><p><br>
Consistent with Motorola Solutions values and applicable law, we provide the following information to promote pay transparency and equity. Pay within this range varies and depends on job-related knowledge, skills, and experience. The actual offer will be based on the individual candidate.</p><h2 class="jobSectionHeader"><b><br>
Basic Requirements</b></h2><ul><li>
Masters Degree + 2 years experience or</li><li>
Bachelors Degree + 5 years experience.</li></ul><h2 class="jobSectionHeader"><br>
<b>
Travel Requirements</b></h2>
None<h2 class="jobSectionHeader"><br>
<b>
Relocation Provided</b></h2>
None<h2 class="jobSectionHeader"><br>
<b>
Position Type</b></h2>
Experienced<h2 class="jobSectionHeader"><br>
<b>
Referral Payment Plan</b></h2>
No<p></p><p><b>
Our </b><b>U.S. Benefits include:</b></p><ul><li>
Incentive Bonus Plans</li><li>
Medical, Dental, Vision benefits</li><li>
401K</li><li>
10 Paid Holidays</li><li>
Generous Paid Time Off Packages</li><li>
Employee Stock Purchase Plan</li><li>
Paid Parental &amp; Family Leave</li><li>
and more!</li></ul><p><b><i><br>
EEO Statement</i></b></p><p></p><p>
Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic.</p><p></p><p>
We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you&rsquo;d like to join our team but feel that you don&rsquo;t quite meet all of the preferred skills, we&rsquo;d still love to hear why you think you&rsquo;d be a great addition to our team.</p><p></p><p>
We&rsquo;re committed to providing an inclusive and accessible recruiting experience for candidates with disabilities, or other physical or mental health conditions. To request an accommodation, please complete this Reasonable Accommodations Form so we can assist you.</p></div><p></p>

Data Scientist

Intelligent Medical Objects

<div><div><div>At IMO Health, we combine strengths in software development, artificial intelligence, and clinical expertise to create AI-driven solutions that enhance access to reliable health information, support clinical decision-making, and improve patient outcomes.</div><div>
We are seeking a <b>Senior AI Engineer</b> to join our Clinical AI team, supporting the deployment and maintenance of machine learning models in production. This role is critical to bridging the gap between research and product by operationalizing AI models, ensuring they scale reliably, and building the infrastructure that enables innovation in clinical data processing.</div><div>
The ideal candidate is a hands-on engineer with strong MLOpsexpertise, capable of owning the full lifecycle of machine learning models &ndash; from training and fine-tuning through deployment, monitoring, and optimization. You will work closely with cross-functional partners who prototype models and integrate AI features into IMO products.</div></div>
<div><div><h3 class="jobSectionHeader"><b>WHAT YOU&rsquo;LL DO:
</b></h3><ul><li><ul><li>Collaborate with cross-functional teams to transition AI/ML models from prototypes into scalable, production-ready systems.</li><li>
Build, deploy, and maintain CI/CD pipelines for machine learning models, ensuring reproducibility, scalability, and reliability.</li><li>
Design and implement cloud-based infrastructure (AWS, Azure, or equivalent) for training, inference, and monitoring of AI models.</li><li>
Automate repetitive ML lifecycle tasks, improving efficiency and consistency in retraining and deployment workflows.</li><li>
Integrate large language models (LLMs), generative AI, and NLP solutions into IMO Health&rsquo;s Clinical AI products, with a focus on unstructured clinical data.</li><li>
Develop scalable inference pipelines and APIs to deliver AI capabilities into customer-facing solutions.</li><li>
Apply containerization (Docker, Kubernetes) and Infrastructure-as-Code to manage production environments.</li><li>
Participate in system design and architecture discussions, bringing expertise in MLOps and AI deployment best practices.</li><li>
Ensure performance, reliability, and security of deployed models, optimizing for latency, throughput, and cost.</li><li>
Collaborate in an Agile environment with cross-functional teams, aligning technical solutions with product and business goals.</li></ul></li></ul></div></div>
<div><div><h3 class="jobSectionHeader"><b>WHAT YOU&rsquo;LL NEED:
</b></h3><ul><li><ul><li>5+ years of professional experience in software engineering, AI/ML engineering, or related roles.</li><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or a related technical field (or equivalent experience).</li><li>
Strong coding skills in Python or Java, with experience in software engineering best practices.</li><li>
Hands-on experience deploying and maintaining ML models in production environments.</li><li>
Proficiency with cloud platforms (AWS or Azure), containerization, and Infrastructure-as-Code.</li><li>
Experience with MLOps tools and workflows (e.g., MLflow, SageMaker, Kubeflow).</li><li>
Familiarity with CI/CD pipelines, automation, and monitoring for machine learning systems.</li><li>
Working knowledge of NLP concepts (tokenization, embeddings, classification, sequence modeling) &mdash; healthcare domain exposure is a plus.</li><li>
Experience fine-tuning and deploying large language models (LLMs) and generative AI solutions.</li><li>
Strong problem-solving skills with the ability to design scalable, reliable systems.</li><li>
Excellent communication and collaboration skills in cross-functional, distributed teams.</li><li>
Self-starter with the ability to work independently and contribute from day one.</li></ul></li></ul></div></div>
<div><div><h3 class="jobSectionHeader"><b>NICE TO HAVE:
</b></h3><ul><li><ul><li>Experience with clinical or healthcare AI applications.</li><li>
Familiarity with Hugging Face, PyTorch, TensorFlow, or other modern ML frameworks.</li><li>
Prior exposure to agentic AI and generative AI applications.</li><li>
AWS Associate-level certification (Machine Learning Engineer or Solutions Architect).</li></ul></li></ul></div></div>
<div><div>$150,000 - $200,000 a year</div><div>
Compensation at IMO Health is determined by job level, role requirements, and each candidate&rsquo;s experience, skills, and location. The listed base pay represents the target for new hires with individual compensation varying accordingly. These figures exclude potential bonuses, equity, or sales incentives, which may also be part of the total compensation package. Our recruiter will provide additional details during the hiring process. IMO Health also offers a comprehensive benefits package. To learn more, please visit IMO Health&rsquo;s Careers Page.</div></div></div>

Senior AI Engineer

Sibel Health

<div>
 <p>
  <strong>
   A BIT ABOUT SIBEL HEALTH:
  </strong>
 </p>
 <p>
  With headquarters based in Chicago, Illinois, and an international office in Seoul, South Korea, Sibel Health is an award-winning digital health startup with a mission to deliver Better Health Data for All&reg;. We were founded with a specific focus on our most vulnerable patients&mdash;pregnant persons and babies&mdash;where we believe wireless monitoring has the potential to do the most good worldwide. We achieve this by providing a complete monitoring solution of advanced wireless wearables, best-in-class software, and novel AI/ML algorithms, all linked to the cloud. To date, we&rsquo;ve launched our technologies in 20 countries, from the most advanced hospitals in the world to the most resource-constrained locations. We work with some of the most respected healthcare organizations in the world, from major philanthropies to large medical technology and pharmaceutical companies. With numerous FDA clearances and a recently completed fundraising round, we are poised for growth and expansion. We are seeking mission-driven individuals with a strong sense of purpose who believe that technology can improve the lives of our most vulnerable patients.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   THE OPPORTUNITY:
  </strong>
 </p>
 <p>
  We are seeking a proactive and detail-oriented
  <strong>
   Manufacturing Process Engineer
  </strong>
  to join our dynamic operations team. In this role, you will play a critical part in scaling manufacturing processes, ensuring high quality and efficient production of our advanced medical technology products. You will work cross-functionally with R&amp;D, quality, and supply chain teams while also guiding contract manufacturing partners to translate prototypes into production-ready builds.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   WHAT YOU WILL BE WORKING ON:
  </strong>
 </p>
 <p>
  Technical Leadership &amp; Training
 </p>
 <ul>
  <li>
   Act as the lead technical expert for all manufacturing processes across platforms.
  </li>
  <li>
   Train and mentor technicians, ensuring effective knowledge transfer and consistent execution of processes.
  </li>
  <li>
   Develop and maintain technical training programs and certification protocols for production staff.
  </li>
 </ul>
 <p>
  Validation &amp; Quality Systems Ownership
 </p>
 <ul>
  <li>
   Own and manage the Master Validation Plan, Process Failure Modes and Effects Analysis (PFMEA), and other key validation documents.
  </li>
  <li>
   Lead and support process qualification activities (IQ/OQ/PQ) in compliance with ISO 13485, FDA, and other regulatory requirements.
  </li>
  <li>
   Drive risk assessments and root cause investigations for process-related non-conformances.
  </li>
 </ul>
 <p>
  Process Documentation &amp; Control
 </p>
 <ul>
  <li>
   Create, revise, and control detailed build instructions, standard operating procedures (SOPs), and work instructions.
  </li>
  <li>
   Maintain comprehensive documentation across all product lines to ensure consistent manufacturing practices and audit readiness.
  </li>
 </ul>
 <p>
  Design for Manufacturability &amp; Test (DFM/DFT)
 </p>
 <ul>
  <li>
   Collaborate with R&amp;D and test engineering teams to optimize product design for manufacturability, scalability, and testability.
  </li>
  <li>
   Lead initiatives to enhance test coverage, reduce test cycle time, and improve diagnostic accuracy in both functional and in-line testing.
  </li>
 </ul>
 <p>
  Continuous Improvement &amp; Root Cause Analysis
 </p>
 <ul>
  <li>
   Drive production yield improvements and cost reductions through data-driven root cause analysis and structured problem-solving (e.g., 8D, DMAIC).
  </li>
  <li>
   Implement Lean Manufacturing principles and Six Sigma tools to streamline workflows and reduce process variation.
  </li>
 </ul>
 <p>
  New Product Introduction (NPI) &amp; Scale-Up
 </p>
 <ul>
  <li>
   Serve as the bridge between product development and manufacturing, ensuring smooth transitions from pilot builds to full-scale production.
  </li>
  <li>
   Develop and scale new manufacturing processes in collaboration with Contract Manufacturers (CMs), ensuring repeatability and control.
  </li>
  <li>
   Oversee equipment specification, procurement, installation, and validation.
  </li>
 </ul>
 <p>
  Supplier &amp; CMO Engagement
 </p>
 <ul>
  <li>
   Collaborate closely with contract manufacturing organizations (CMOs) to define process requirements, resolve issues, and ensure timely product delivery.
  </li>
  <li>
   Participate in supplier audits, technical reviews, and readiness assessments.
  </li>
 </ul>
 <p>
  Data Analysis &amp; Reporting
 </p>
 <ul>
  <li>
   Monitor process metrics (e.g., cycle time, yield, throughput) and generate regular reports to inform operational decision-making.
  </li>
  <li>
   Utilize statistical process control (SPC) and other analytical tools to maintain and improve process capability.
  </li>
 </ul>
 <p>
  Equipment Maintenance &amp; Calibration
 </p>
 <ul>
  <li>
   Own and execute maintenance and calibration plans for all production and test equipment.
  </li>
  <li>
   Ensure compliance with calibration schedules and proper documentation to meet quality and regulatory requirements.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   ABOUT YOU:
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Mechanical Engineering, Biomedical Engineering, Industrial Engineering, or a related technical field.
  </li>
  <li>
   2&ndash;5 years of hands-on experience in a regulated manufacturing environment, preferably in medical devices or electronics.
  </li>
  <li>
   Strong understanding of validation methodologies, quality systems (ISO 13485, FDA QSR), and GMP requirements.
  </li>
  <li>
   Experience with Lean/Six Sigma, PFMEA, and root cause methodologies.
  </li>
  <li>
   Proficiency with CAD, Minitab/JMP, MES, and ERP systems is a plus.
  </li>
  <li>
   Excellent communication and cross-functional collaboration skills.
  </li>
 </ul>
 <p>
  Preferred Certifications (Optional but Beneficial)
 </p>
 <ul>
  <li>
   Six Sigma Green Belt or Black Belt
  </li>
  <li>
   Certified Manufacturing Engineer (CMfgE)
  </li>
  <li>
   ASQ Certified Quality Engineer (CQE)
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   BENEFITS:
  </strong>
 </p>
 <ul>
  <li>
   Medical, dental, vision, life, and disability insurance.
  </li>
  <li>
   "Take as much time as you need" policy.
  </li>
  <li>
   Simple IRA plan with employer matching.
  </li>
  <li>
   Company-sponsored events and lunches.
  </li>
  <li>
   Stipend for professional development.
  </li>
  <li>
   Opportunity to be part of a dedicated and driven team that is here to disrupt and revolutionize wireless monitoring.
  </li>
  <li>
   Capability to work in a fast-paced, dynamic global environment with multiple changing priorities.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <em>
   Sibel Health Inc.
  </em>
  <strong>
  </strong>
  <em>
   is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
  </em>
 </p>
</div>


Manufacturing Process Engineer

Coforge

<div>
 <ul>
  <li>
   <strong>
    Role: Automation Test Engineer
   </strong>
  </li>
  <li>
   <strong>
    Skills: Automation, Java, Selenium, BDD, API Automation (RestAssured), SQL Query Writing
   </strong>
  </li>
  <li>
   <strong>
    Experience: 9+years
   </strong>
  </li>
  <li>
   <strong>
    Location: Chicago, IL (Onsite Job)
   </strong>
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  We at Coforge are seeking an Automation Test Engineer in QE- including hands- on automation (UI &amp; API), SQL Query writing. The ideal candidate will have extensive experience Automation Hands-on, Framework designing, Coding, Java using Selenium, API Automation (RestAssured), SQL, Basic Query writing.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Onsite Test Automation Engineer:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   9-10 years of experience in QE- including hands- on automation
  </li>
  <li>
   Excellent communication and stakeholder management
  </li>
  <li>
   Hands on UI Automation using Java/BDD/Selenium
  </li>
  <li>
   Hands on API Automation using Java/RestAssured
  </li>
  <li>
   Knowledge on SQL basics and writing basic queries
  </li>
 </ul>
 <p>
 </p>
</div>


Automation Test Engineer

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