ai decision science manager - life sciences

data engineer

software engineer

data engineer ii

senior data engineer

.net full stack engineer

etl developer

Kalderos

<div>
 
 About Us
 
 
 
 At Kalderos, we are building unifying technologies that bring transparency, trust, and equity to the entire healthcare community with a focus on pharmaceutical pricing. Our success is measured when we can empower all of healthcare to focus more on improving the health of people.
 
 
 That success is driven by Kalderos' greatest asset, our people. Our team thrives on the problems that we solve, is driven to innovate, and thrives on the feedback of their peers. Our team is passionate about what they do and we are looking for people to join our company and our mission.
 
 
 That's where you come in! We are looking for a collaborative
 
 Data Engineer II
 
 . You have a strong inclination to work in rapidly developing and expanding organizations and possess the necessary background to do so. You are well-acquainted with the fast-paced, high-volume, and uncertain nature of operations in the organization, and perceive it as a chance to deliver significant outcomes.
 
 
 
 
 This is a full-time, hybrid role, which can be based in Chicago, IL or Boston, MA. Relocation assistance will not be provided.
 
 
 
 
 
 
 Expected Salary Range: $130,000-$145,000 base + bonus
 
 
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Design and implement data models in partnership with product, analytics, and engineering teams so they are scalable, well-documented, and aligned to business needs.
 </li>
 <li>
 Collaborate with other Data Engineers to solve problems that directly impact enterprise customers
 </li>
 <li>
 Build data transformations and data flows utilizing Python, SQL, DBT, Postgres and Snowflake
 </li>
 <li>
 Build out automated ETL jobs that reliably process large amounts of data, and ensure these jobs run consistently and are well-monitored
 </li>
 <li>
 Build tools that enable other data engineers to work more efficiently
 </li>
 <li>
 Tune existing implementations to run more efficiently as they become bottlenecks, or migrate existing implementations to new paradigms as needed
 </li>
 <li>
 Learn and apply knowledge about the drug discount space, and become a subject matter expert for internal teams to draw upon
 
 
 </li>
 </ul>
 
 What You'll Bring
 
 
 
 <ul>
 <li>
 Bachelor's degree in computer science or similar field, or equivalent experience
 </li>
 <li>
 2-4+ years of work experience as a Data Engineer in a professional full-time role
 </li>
 <li>
 Advanced knowledge of SQL and Python (along with data analysis libraries such as Pandas, NumPy, and others)
 </li>
 <li>
 Strong data modeling experience (understanding of SQL, NoSQL, and other database types along with relational modeling)
 </li>
 <li>
 Ability to learn new technologies and work in various components across the full tech stack
 </li>
 <li>
 Experience with cloud native infrastructure (Azure preferred)
 </li>
 <li>
 Experience with Container Applications (Docker)
 </li>
 <li>
 Experience building ETL pipelines and other services
 </li>
 <li>
 Experience with GenAI Tools and Workflows
 </li>
 <li>
 Professional experience in application programming with an object-oriented language.
 
 
 </li>
 </ul>
 
 Set Yourself Apart
 
 
 
 <ul>
 <li>
 Experience with DBT and Snowflake
 </li>
 <li>
 Experience with event driven platforms
 </li>
 <li>
 Experience with infrastructure as code tools like Terraform
 </li>
 <li>
 Knowledge about the drug discount space and healthcare industry
 
 
 </li>
 </ul>
 
 Highlighted Company Perks and Benefits
 
 
 
 <ul>
 <li>
 Medical, Dental, and Vision benefits
 </li>
 <li>
 401k with company match
 </li>
 <li>
 Flexible PTO with a 10 day minimum
 </li>
 <li>
 Mobile &amp; Wifi Reimbursement
 </li>
 <li>
 Commuter Reimbursement
 </li>
 <li>
 Donation matching for charitable contributions
 </li>
 <li>
 Travel reimbursement for healthcare services not available near your home
 </li>
 <li>
 New employee home office setup reimbursement
 
 
 </li>
 </ul>
 
 What It's Like Working Here
 
 
 
 <ul>
 <li>
 We thrive on collaboration, because we believe that all voices matter and we can only put our best work into the world when we work together to solve problems.
 </li>
 <li>
 We empower each other and believe in ensuring all voices are heard.
 </li>
 <li>
 We know the importance of feedback in individual and organizational growth and development, which is why we've embedded it into our practice and culture.
 </li>
 <li>
 We're curious and go deep. Our slack channels are filled throughout the day with insightful articles, discussions around our industry, healthcare, and anything else that interests our team!
 
 
 </li>
 </ul>
 
 
 To learn more:
 
 
 
 
 https://www.kalderos.com/company/culture
 
 
 
 
 
 
 We know that job postings can be intimidating, and research shows that while men apply to jobs when they meet an average of 60% of the criteria, women and other marginalized folks tend to only apply when they check every box. We encourage you to apply if you think you may be a fit and give us both a chance to find out!
 
 
 
 
 
 
 Kalderos is proud to be an equal opportunity workplace. We are committed to equal opportunity regardless of race, color, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or veteran status.
 
 
 
 
 
 
 Kalderos participates in E-Verify.
 
 
</div>

Data Engineer II

Infosys

<div>Infosys is seeking a Data Engineer with experience in Python, PySpark. In the role of Technology Lead, you will interface with key stakeholders and apply your technical proficiency across different stages of the Software Development Life Cycle including Requirements Elicitation, Application Architecture definition and Design. You will play an important role in creating the high level design artifacts. You will also deliver high quality code deliverables for a module, lead validation for all types of testing and support activities related to implementation, transition and warranty. You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued. 
Required Qualifications:<ul><li>
Bachelor&rsquo;s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.</li><li>
At least 4 years of Information Technology experience.</li><li>
Candidate must be located within commuting distance of Boston, MA or be willing to relocate to the area. This position may require travel to project locations.</li><li>
Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time.</li><li>
Develop, enhance, and maintain Python-based ETL/ELT pipelines for large-scale data processing.</li><li>
Design and implement data workflows using Databricks (PySpark, Delta Lake).</li><li>
Build, optimize, and manage Snowflake objects (schemas, tables, stages, pipes, views).</li><li>
Write efficient SQL and Snowflake Scripting for transformations, automation, and orchestration.</li></ul><div>
</div><div>Preferred Qualifications:</div><ul><li>
At least 6 years of hands-on experience in Python, PySpark, Snowflake</li><li>
Integrate data from diverse sources (APIs, databases, cloud storage, streaming sources).</li><li>
Optimize performance of data pipelines, including workload management and cost tuning.</li><li>
Implement CI/CD practices for data engineering using Git, DevOps pipelines, or similar tools.</li><li>
Collaborate with Data Architects, Analysts, and Product Teams to deliver reliable data solutions.</li><li>
Ensure data quality, data governance, and security best practices across all workflows.</li><li>
Monitor, troubleshoot, and resolve issues in production data pipelines.</li><li>
At least 6 years of experience in software development life cycle.</li><li>
At least 6 years of experience in Project life cycle activities on development and maintenance projects.</li><li>
Ability to work in team in diverse/ multiple stakeholder environment.</li><li>
Good Analytical skills.</li><li>
A high degree of initiative and flexibility. High customer orientation.</li><li>
Excellent verbal and written communication skills</li><li>
Experience and desire to work in a Global delivery environment</li></ul><div>
</div><div> 
The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements</div></div>

Data Engineer

Man Group

<div><div>About Man Group

Man Group is a global alternative investment management firm focused on pursuing outperformance for sophisticated clients via our Systematic, Discretionary and Solutions offerings. Powered by talent and advanced technology, our single and multi-manager investment strategies are underpinned by deep research and span public and private markets, across all major asset classes, with a significant focus on alternatives. Man Group takes a partnership approach to working with clients, establishing deep connections and creating tailored solutions to meet their investment goals and those of the millions of retirees and savers they represent.

Headquartered in London, we manage $227.6 billion* and operate across multiple offices globally. Man Group plc is listed on the London Stock Exchange under the ticker EMG.LN and is a constituent of the FTSE 250 Index. Further information can be found at www.man.com
<ul><li>As at 31 December 2025</li></ul></div><h2 class="jobSectionHeader">
The Role</h2>

We're looking for a high-performing associate software engineer to join the engineering team of Man Group's central data platform, named Codex. Projects don't get much more cross-cutting or high-profile than this: we have hundreds of internal users and whatever you work on will be used by teams across the business for years to come. Fundamentally, we are not a data engineering team: we empower our userbase to become data engineers with our software. This is a great time to join the team as we consider how to expand our offering to the entire business with some true greenfield projects. There are three main pillars of the Codex platform:
<ul>
<li>Data Acquisition - an ETL/ELT platform for research and production which scales to multi-terabyte datasets; and can index all data at Man for re-usability and discoverability.</li>
<li>Data Governance - cataloguing the thousands of datasets at Man; allowing discovery, entitlements, data quality, and end-to-end data lineage.</li>
<li>Data Delivery - providing a unified interface across the thousands of datasets across Man with a focus on scaling, identifier mapping, and UX.</li>
</ul><h2 class="jobSectionHeader">Our Technology</h2>

Our systems are almost all running on Linux and most of our code is in Python, with the full scientific stack: numpy, scipy, pandas to name a few of the libraries we use extensively. We implement the systems that require the highest data throughput in Java. Within Data Engineering we use Pandas, Dataiku, Snowflake, Prometheus, and ArcticDB heavily.

We use Kafka for data pipelines, Python and Spark for ETL, Bitbucket for source control, Jenkins for continuous integration, Grafana + Prometheus for metrics collection, ELK for log shipping and monitoring, Docker for containerisation, Kubernetes for container orchestration, OpenStack for our private cloud, Ansible for architecture automation, and Slack for internal communication. Our technology list is never static: we constantly evaluate new tools and libraries.
<h2 class="jobSectionHeader">
Technology and Business Skills</h2>

We strive to hire only the brightest, best and most highly skilled, passionate technologists.
<h2 class="jobSectionHeader">
Essential</h2>
<ul><li>Expertise in software engineering, ideally in Python.</li>
<li>Demonstrated ability to work collaboratively in team settings, with strong communication skills.</li>
<li>Familiarity with one or more relevant database technologies such as Snowflake, PostgreSQL, Iceberg, or MongoDB.</li>
<li>Genuine interest in tackling data challenges at scale.</li>
<li>Proficiency in (at least) one programming language, modern software engineering principles, and clean code practices.</li>
<li>Understanding of software testing fundamentals, including the testing pyramid.</li>
</ul><h2 class="jobSectionHeader">Advantageous</h2>
<ul><li>Exposure to building reliable, production-grade applications.</li>
<li>Comfortable working on Linux platforms and using Git</li>
<li>Experience with Python and proficiency with scientific libraries such as Pandas, NumPy, SciPy, statsmodels and scikit-learn</li>
<li>An interest in quantitative software development within a front-office setting, such as at a hedge fund, proprietary trading firm, or investment bank</li>
<li>Experience working with large data sets, both structured and unstructured</li>
<li>Experience building web applications using modern frameworks like React</li>
<li>Awareness of distributed computing technologies such as Spark, Dask, Kubernetes, Redis</li>
<li>Good understanding of financial markets and instruments</li>
<li>Experience working with financial market data</li>
<li>Relevant mathematical knowledge e.g., statistics, time-series analysis</li>
</ul><h2 class="jobSectionHeader">Personal Attributes</h2>
<ul><li>Strong academic record and a degree with high mathematical and computing content e.g., Computer Science, Mathematics, Engineering or Physics</li>
<li>Intellectually robust with a keenly analytic approach to problem solving</li>
<li>Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities</li>
<li>Focused on delivering value to the business with relentless efforts to improve process</li>
<li>Strong interpersonal skills: able to establish and maintain a close working relationship with quantitative researchers, portfolio managers, traders and senior business people alike</li>
<li>Clear communicator: able to argue a point concisely and deal positively with conflicting views</li>
</ul><h2 class="jobSectionHeader">Working Here</h2>

The Man Group team in Boston team has a small company, no-attitude feel. It is flat structured, open, transparent and collaborative, and you will have plenty of opportunity to grow and have enormous impact on what we do. We are actively engaged with the broader technology community.
<ul>
<li>We regularly talk at leading industry conferences, and tweet about relevant technology and how we're using it. See @manquanttech</li>
<li>We host and sponsor Boston meetups and London's PyData and Machine Learning Meetups</li>
<li>We open-source some of our technology, including our ultra-high-performance DataFrame database, ArcticDB. See https://github.com/man-group for a full list and more information.</li>
</ul>
We're fortunate enough to have a fantastic open-plan office overlooking the Boston harbour, and continually strive to make our environment a great place in which to work. We believe that agile working allows us to deliver the best business outcomes for our clients and investors as well as having a positive impact on work-life balance and the wellbeing of our staff. We are simultaneously committed to &quot;levelling the playing field&quot; and believe that agile working promotes inclusivity across teams, regions and business units. In general, Technology roles are expected to be in the office for 3 days a week. However, the specifics can vary based on the role, team, and individual circumstances, and are ultimately subject to the manager's discretion.

We offer competitive compensation, a generous holiday allowance, various health and other flexible benefits. We are also committed to continuous learning and development via coaching, mentoring, regular conference attendance and sponsoring academic and professional qualifications.<div>
Inclusion, Work-Life Balance and Benefits at Man Group 
You'll thrive in our working environment that champions equality of opportunity. Your unique perspective will contribute to our success, joining a workplace where inclusion is fundamental and deeply embedded in our culture and values. Through our external and internal initiatives, partnerships and programmes, you'll find opportunities to grow, develop your talents, and help foster an inclusive environment for all across our firm and industry. Learn more at www.man.com/diversity. 
 
You'll have opportunities to make a difference through our charitable and global initiatives, while advancing your career through professional development, and with flexible working arrangements available too. Like all our people, you'll receive two annual 'Mankind' days of paid leave for community volunteering.

Our comprehensive benefits package includes competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Depending on your location, you may also enjoy additional benefits such as private medical coverage, discounted gym membership options and pet insurance.

Equal Employment Opportunity Policy

Man Group provides equal employment opportunities to all applicants and all employees without regard to race, color, creed, national origin, ancestry, religion, disability, sex, gender identity and expression, marital status, sexual orientation, military or veteran status, age or any other legally protected category or status in accordance with applicable federal, state and local laws.

Man Group is a Disability Confident Committed employer; if you require help or information on reasonable adjustments as you apply for roles with us, please contact TalentAcquisition@man.com.</div></div>

Associate Software Engineer

Traackr

<div>
 Traackr is a global SaaS technology company providing a data-driven influencer marketing platform that marketers use to optimize investments, streamline campaigns, and scale programs. Our customers range from some of the world&rsquo;s largest companies in the beauty and personal care space to digitally native indie brands, which have all made influencer management and engagement a critical practice of their marketing and advertising programs. We are a remote-first company, and for the folks that like to meet in person, we have offices in San Francisco, New York, Boston, Paris, and London. We operate on a culture of mutual respect, with core value pillars including:
 
 
 
 Trust
 
 . We earn the trust of our team, customers, creators, and partners through transparency, predictability, and integrity.
 
 
 
 Diversity
 
 . Bringing diverse perspectives to the table results in stronger outcomes. All are welcome.
 
 
 
 Value.
 
 Through our words and actions, we strive to create tangible value for our customers and peers. We only succeed when our community succeeds.
 
 
 
 Ownership
 
 . We lead with action. We take pride in solving the hardest challenges and feel accountable for our commitments.
 
 
 
 Mutual success
 
 . We share goals with each other and with our clients. Alignment, collaboration, and empathy are the cornerstones of our success.
 
 
 This position is
 
 100% remote
 
 , with the understanding that occasional in-person attendance may be required for trainings, meetings, and team gatherings, as determined by your manager.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Develop, maintain, and optimize data pipelines for analytics and machine learning workloads.
 </li>
 <li>
 Ensure reliability, scalability, and performance of data workflows.
 </li>
 <li>
 Implement data ingestion from internal and external sources.
 </li>
 <li>
 Collaborate with Data Scientists and Analysts to prepare datasets for modeling and analysis.
 </li>
 <li>
 Build and maintain Databricks-based data pipelines and workflows.
 </li>
 <li>
 Monitor, debug, and improve data pipeline performance and platform efficiency.
 </li>
 <li>
 Develop tools and frameworks to automate data operations and ensure data quality.
 </li>
 <li>
 Work with product and engineering teams to translate data requirements into solutions.
 </li>
 <li>
 Participate in code reviews and follow data engineering best practices.
 </li>
 <li>
 Maintain documentation and contribute to improving data engineering standards and tooling.
 
 
 
 
 
 </li>
 </ul>
 
 Requirements:
 
 
 
 <ul>
 <li>
 2-4 years of experience in Data Engineering, Analytics Engineering, or a related field.
 </li>
 <li>
 Experience building and maintaining data pipelines and ETL/ELT workflows.
 </li>
 <li>
 Proficiency in Python and SQL for data processing and transformation.
 </li>
 <li>
 Experience working with Databricks, Spark, or similar distributed data processing platforms.
 </li>
 <li>
 Familiarity with data ingestion from APIs, databases, or cloud storage systems.
 </li>
 <li>
 Experience working with cloud platforms such as AWS, Azure, or GCP.
 </li>
 <li>
 Understanding of data modeling, data warehousing, and data quality practices.
 </li>
 <li>
 Familiarity with version control (e.g., Git) and collaborative development workflows.
 </li>
 <li>
 Ability to work collaboratively with Data Scientists, Analysts, and Engineers.
 </li>
 <li>
 Strong problem-solving and communication skills.
 
 
 
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Competitive Salary
 </li>
 <li>
 Remote Work Options with Hybrid Flexibility and Home Office Set-Up Stipend
 </li>
 <li>
 Coworking Office Subscription for Collaborative Spaces
 </li>
 <li>
 Health, Dental, and Life Insurance Coverage*
 </li>
 <li>
 Open Vacation Policy and Flexible Holiday Schedule to Suit Your Needs
 </li>
 <li>
 Paid Parental Leave to Support Quality Time with Your Loved Ones
 </li>
 <li>
 Career Development, including Internal and External Training Opportunities
 
 
 
 
 
 </li>
 </ul>
 Traackr employs individuals in multiple US states and countries. We use market benchmark data and geographic zones to determine our salary ranges.
 
 Your zone's specific pay range is dependent on your home location
 
 . We encourage you to discuss your zone-specific pay range with your Traackr recruiter for more details.
 
 
 Benefit programs vary by country/state of residency, are subject to eligibility requirements, and may be modified from time to time. Ask for more details about the benefits in your specific region.
 
 
 Traackr is an Equal Employment Opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other legally protected characteristics. All your information will be kept confidential in accordance with EEO guidelines.
 
 
 
 Unsolicited resumes
 
 
 Traackr does not accept unsolicited resumes/CVs from headhunters or recruiting agencies sent directly to Traackr employees or through our website. Traackr will not pay any fees to any third-party agency or company unless there is a signed agreement with Traackr.
 
 
 
 Privacy
 
 
 Traackr, Inc. has published a Privacy Notice, including CCAP for California and GDPR policies for its UK and European Union subsidiaries, accessible at https://www.traackr.com/privacy-policy.
 
 
 All questions, comments, and requests regarding data processing at Traackr should be addressed to
 
 HR@traackr.com
 
 .
 
 
 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.
</div>

PA Consulting

<div><div>We believe in the power of ingenuity to build a positive human future.
As strategies, technologies, and innovation collide, we create opportunity from complexity.
Our diverse teams of experts combine innovative thinking and breakthrough technologies to progress further, faster. Our clients adapt and transform, and together we achieve enduring results.
We are over 4,000 strategists, innovators, designers, consultants, digital experts, scientists, engineers, and technologists. And we have deep expertise in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, and transport.
Our teams operate globally from offices across the UK, Ireland, US, Nordics, and Netherlands.
PA. Bringing Ingenuity to Life</div> 
<div><div><div><div><h4 class="jobSectionHeader">Job description</h4>
Your day to day
We&rsquo;re an innovation and transformation consultancy that believes in the power of ingenuity to build a positive-human future in a technology-driven world. Our diverse teams of experts combine innovative thinking with breakthrough-technologies to progress further, faster.
Are you ready to harness the power of data to drive advancements in healthcare? Are you passionate about designing, building, and maintaining data infrastructure that plays a pivotal role in improving patient outcomes and shaping the future of medicine? If you're seeking a rewarding career at the intersection of healthcare and technology, we invite you to be part of our dynamic team. This is a unique, multi-year, project-based opportunity to build and grow a clinical data registry platform over many years working with a dedicated team of collaborators and customers. As a Data Engineer for our cutting-edge medical data registry, you'll be at the forefront of managing, optimizing, and expanding our data infrastructure, enabling critical insights that can positively impact patient outcomes. If you're excited about leveraging your data engineering skills to make a difference in the world of healthcare, we want to hear from you.
#LI-JS1
#LI-Hybrid</div> 
</div></div></div><div><div><div><div><h4 class="jobSectionHeader">Qualifications</h4>
Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time 
 
Minimum qualifications:<ul><li>
5-7 years of industry working experience</li><li>
Advanced SQL and Python</li><li>
Expertise in the design and construction of Big Data Lakes and Data Warehouses capable of ingesting, standardizing, and serving billions of data rows spanning diverse datasets ranging from tens to hundreds</li><li>
Experience building dynamic, metadata driven pipelines and analyses</li><li>
Building and managing fully automated data pipelines (ETL, ELT, ELTL) including:<ul><li>
Designing and building data interfaces to source systems</li><li>
Combining and transforming data into the appropriate format for storage</li><li>
Developing data sets for analytics purposes</li><li>
Developing pipelines that can handle common issues/errors in a robust and automated way</li></ul></li><li>
Cloud experience in Azure, AWS or GCP</li></ul>
Preferred qualifications:<ul><li>
Spark / PySpark experience highly preferable</li><li>
Working in Agile and DevOps environments</li><li>
Basic Python, Bash, or PowerShell for automation</li><li>
Data modelling &ndash; Kimball, Data Vault, Star/Snowflake schema, Query-first etc.</li><li>
Data visualisation in Power BI, Tableau, Qlik or similar</li><li>
Architecting Data Platforms - designing BI/MI/Analytics solutions using Big Data, Relational or Streaming technologies</li><li>
One or more of the following certifications:<ul><li>
Microsoft Certified: Azure Data Engineer Associate</li><li>
AWS Certified Data Analytics - Specialty</li><li>
GCP Professional Data Engineers</li></ul></li></ul> 
</div>
</div></div></div><div><div><div><div><h4 class="jobSectionHeader">Additional information</h4>
The salary range for this role is between $118,000 - $125,000k 
 
Life At PA encompasses our peoples' experience at PA. It's about how we enrich peoples&rsquo; working lives by giving them access to unique people and growth opportunities and purpose led meaningful work.
We are currently operating a discretionary hybrid working model which is designed to help you plan your work and your life. We want our people to come into the office at least two days a week.
We believe diversity fuels ingenuity. Diversity of thought brings exciting perspectives; diversity of experience brings a wealth of knowledge, and diversity of skills brings the tools we need. When we bring people together with diverse backgrounds, identities, and minds, embracing that difference through an inclusive culture where our people thrive; we unleash the power of diversity &ndash; bringing ingenuity to life. We are dedicated to supporting the physical, emotional, social and financial well-being of our people.
Benefits<ul><li>
Group medical insurance</li><li>
Health Savings Account with company match</li><li>
Teladoc and informed Nurse line resources</li><li>
Long term care plan</li><li>
Group dental insurance</li></ul><ul><li>
Vision plan</li><li>
401(k) Savings Plan with company profit sharing contribution</li><li>
Commuter and Parking tax-savings benefit</li><li>
15 days paid vacation days with the opportunity to buy five additional days</li><li>
10 paid Holidays plus 10 paid sick days</li></ul><ul><li>
Company and Voluntary income protection benefits</li><li>
Gym and health incentive reimbursement</li><li>
Pet and legal insurance Plans</li><li>
Employee Assistance Plan</li><li>
Annual performance-based bonus</li></ul></div></div></div></div></div>

Bright Vision Technologies

<div>
 Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations.
 
 
 We leverage cutting-edge technologies to create scalable, secure, and user-friendly applications. As we continue to grow, we&rsquo;re looking for a skilled
 
 Python Developer
 
 to join our dynamic team and contribute to our mission of transforming business processes through technology.
 
 
 This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
 
 
 We are looking for
 
 OPT/CPT/H4 EAD/TN/E3 or any other Non-immigrant visa people
 
 who are looking for an
 
 H1B sponsorship for the year 2027 quota.
 
 
 
 
 Company:
 
 Bright Vision Technologies ( www.bvteck.com )
 
 
 
 Job Title:
 
 Python Developer
 
 
 
 Job Location:
 
 Bridgewater, New Jersey &ndash; 08807
 
 
 
 Onsite/Hybrid:
 
 Remote
 
 
 
 FULL-TIME ROLE WITH BRIGHT VISION
 
 
 
 
 Job Description:
 
 
 
 
 Environment:
 
 
 
 Python, Django, Flask, FastAPI, RESTful APIs, JSON, SQL (PostgreSQL, MySQL), NoSQL (MongoDB), Pandas, NumPy, ETL pipelines, Celery, Redis, Docker, Kubernetes, Git, CI/CD pipelines, AWS/Azure, Linux, Agile methodologies, Unit Testing (PyTest)
 
 
 
 BUT STRICTLY NO C2C/1099/3RD PARTY COMPANIES. ALL OUR ROLES ARE W2 AND NO 3RD PARTY BROKERING PLEASE
 
 .
 
 
 For every role, a
 
 coding test is required
 
 , so apply only if you are
 
 confident and technically strong
 
 .
 
 
 We prefer
 
 at least 3 to 5 years real time experience
 
 .
 
 
 If you are a Python developer with the above skills and are looking for an
 
 H-1B sponsorship
 
 this year, please send your resume immediately to
 
 jaya@bvteck.com
 
 .
 
 
 We are committed to providing equal employment opportunities and fostering an inclusive work environment. We encourage applications from all qualified individuals regardless of race, ethnicity, religion, gender identity, sexual orientation, age, disability, or any other protected status. If you require accommodations during the recruitment process, please let us know.
 
 
 
 Position offered by &ldquo;No Fee Agency.&rdquo;
 
 
 
 Equal Employment Opportunity (EEO) Statement
 
 
 Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.
 
 
 BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.
 
 
 Powered by JazzHR
 
 
 VMTZy8G2ry
</div>

Python Developer

WHOOP

<div>
 At WHOOP, we are on a mission to unlock human performance. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives.
 
 
 WHOOP is seeking an experienced Data Engineer who thrives on innovation and takes ownership of building and evolving data systems at scale. In this role, you will design, build, and optimize scalable data pipelines and platforms that power our data driven insights. You will play a key role in shaping robust ELT architectures, improving reliability and performance, and influencing technical direction across the data platform. With a strong focus on modern AWS infrastructure and tooling such as Snowflake, DBT, Kafka, and Spark, you will help elevate our analytical and operational capabilities. If you are excited about using AI to improve developer productivity and drive meaningful impact, we want you to join our team.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, build, and operate scalable ELT pipelines using Python and PySpark, with a focus on reliability, performance, and maintainability
 </li>
 <li>
 Own and improve batch and streaming data systems using Spark and Kafka, including monitoring and resolving production data issues
 </li>
 <li>
 Develop and optimize Snowflake data models and DBT transformations to support analytics, experimentation, and trusted metrics
 </li>
 <li>
 Partner with data scientists, analysts, and product teams to translate business requirements into well-designed data solutions
 </li>
 <li>
 Contribute to the evolution of the data platform by improving observability, data quality, and engineering best practices
 </li>
 <li>
 Leverage AI tools to accelerate development, improve code quality, and automate repetitive data engineering workflows
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
 </li>
 <li>
 3-5 years of professional experience building and operating ETL/ELT pipelines in production environments
 </li>
 <li>
 Strong proficiency in SQL and hands-on experience with modern data warehousing concepts and dimensional modeling
 </li>
 <li>
 Professional experience using Python for data engineering, including writing clean, testable, and reusable code
 </li>
 <li>
 Experience with DBT for data modeling, testing, and documentation is preferred
 </li>
 <li>
 Experience with Spark and Kafka for batch or streaming data processing is preferred
 </li>
 <li>
 Strong problem-solving skills, clear communication, and the ability to work independently while collaborating in an agile environment
 </li>
 <li>
 Comfort using AI tools such as Copilot or ChatGPT to improve efficiency throughout the software development lifecycle
 
 
 </li>
 </ul>
 
 
 This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
 
 
 
 
 
 Interested in the role, but don&rsquo;t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
 
 
 
 
 WHOOP is an Equal Opportunity Employer and participates in
 
 
 E-verify
 
 
 to determine employment eligibilityThe WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.
 
 
 
 
 At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company&rsquo;s long-term growth and success.
 
 
 
 
 The U.S. base salary range for this full-time position is $125,000 - $175,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate&rsquo;s specific qualifications, expertise, and alignment with the role&rsquo;s requirements.
 
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