software engineer

data analyst

senior data engineer

ops data analyst

product engineer

etl developer

Mount Sinai Health System

<div><b>Description</b><p>
The Scientific Computing &amp; Data group at the Icahn School of Medicine at Mount Sinai partners with scientists to accelerate scientific discovery. To achieve these aims, we support a cutting-edge high-performance computing (HPC) and data ecosystem along with MD/PhD-level support for researchers. The group is composed of a high-performance computing team, the research clinical data warehouse team and a research data services team. The Scientific Computing and Data group operate the secure enclave for the Kidney Precision Medicine Project (KPMP) clinical data warehouse and data lake for the KPMP. The Kidney Precision Medicine Project (KPMP) is an ambitious, multi-year project funded by the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) with the purpose of understanding and finding new ways to treat chronic kidney disease (CKD) and acute kidney injury (AKI).</p><p>
The <b>Lead Clinical Data Warehouse Engineer</b> is a senior technical specialist responsible for leading the ongoing development of the Kidney Precision Medicine Project (KPMP) data warehouse, a centralized multimodal data repository for biomedical research. In this position, the <b>Lead Clinical Data Warehouse Engineer</b> will work with other members of the data warehouse team and KPMP to expand the functionality and integrate new multimodal data sources into the data warehouse. The KPMP data warehouse is built on the Microsoft SQL Server technology stack, with data extracted from KPMP&rsquo;s clinical systems, and transformed into OHDSI&rsquo;s Observational Medical Outcomes Partnership (OMOP) Common Data Model.</p><p>
This position is responsible for driving and leading the technology direction of current and future development in an area of expertise which may include application development, systems programming, data management, etc. This individual may function as a team lead and influences strategic technical implementation and provides creative solutions for very complex requirements often leading large project efforts. Project Scope: Large complex programs and strategic initiatives involving multiple sites or up to 40 integrated work tracks.</p><b><br>
Responsibilities</b><ul><li>
Design, build, test, maintain and control data pipelines and ETL jobs for integrating data into the KPMP data warehouse. Such data pipelines are implemented in T-SQL stored procedures, SSIS and SQL Agent jobs, and make extensive use of metadata-driven dynamic SQL and Varigence's BIML.</li><li>
Develop standards and procedures for database and data pipeline design, operational management and ongoing maintenance.</li><li>
Design, build, test, maintain, and control other processes for data management, including management and loading of flat files in a variety of formats (e.g. csv, tsv, pipe-delimited, XML, JSON.)</li><li>
Facilitate design sessions, code walkthroughs, peer reviews, and produce technical documentation.</li><li>
Performance tuning of database objects, stored procedures, ETL jobs, and related scripts to optimize both end-user customer queries and data pipeline ETL processing.</li><li>
Monitor scheduled ETL jobs and other processes to ensure expected functioning and uptime of data pipelines. Lead and/or coordinate the troubleshooting and remediation of all ETL job failures in a timely manner. On call support is sometimes required.</li><li>
Deliver world class customer service in all interactions with customers, stakeholders, and other teams within Mount Sinai's Digital &amp; Technology Partners (DTP) organization. Maintain a customer-focused approach to provide solutions that are science/research driven.</li><li>
Maintain patient privacy and the integrity and security of healthcare data in all databases and systems, including compliance with all applicable laws, regulations, and Mount Sinai's policies related to the Institutional Review Board (IRB), patient privacy and IT cybersecurity. These laws include but are not limited to, the &quot;Common Rule&quot; (45 CFR Part 46), HIPAA (45CFR Part 164), 42 CFR Part 2, and New York's Article 27-F.</li><li>
Work effectively and collaboratively with other IT professionals throughout Mount Sinai.</li><li>
As a senior technical lead, independently investigate and stay abreast of new and emerging technologies that Scientific Computing &amp; Data could leverage to provide new capabilities, to boost efficiencies or quality, and/or lower operating costs.</li><li>
May act as a Project Leader.</li><li>
May assist the DBAs with database administration tasks, including user provisioning and access permissions, backups, environment restorations, capacity planning and load monitoring, performance tuning, etc.</li><li>
May assist with the design, build, test and performance tuning of reports and dashboards in SSRS, Microsoft Power BI, Tableau, or similar business intelligence tools.</li><li><p>
Perform related duties as assigned or requested.</p></li></ul><p></p><b><br>
Qualifications</b><ul><li>
Bachelors degree in a technical discipline; Masters degree preferred</li><li>
12-15 years preferred of related experience, including 8 years of experience with the design, development and maintenance of relational databases and ETL jobs/data pipelines.</li></ul><p><b>
Preferred:</b></p><ul><li>
Expert knowledge of data warehousing principles: database design/3NF, dimensional modeling (e.g. types of fact tables, slowly changing dimensions), change data capture/bi-temporal versioning, incremental data loads, maintain transparent data lineage, etc.</li><li>
Expert level ETL development experience with Microsoft SSIS, Visual Studio, SQL Server Data Tools and SQL Agent jobs is required. Prior experience with other ETL tools is a plus.</li><li>
Expert level Microsoft T-SQL development skills are required: stored procedures, user defined functions, sequences, advanced T-SQL features, metadata or parameter driven dynamic SQL, and the use of Linked Servers. Experience with Oracle PL/SQL and/or PostgreSQL, PL/pgSQL is a strong plus.</li><li>
Prior experience working with healthcare data is strongly preferred, which may include electronic health records, medical and pharmacy billing &amp; claims, and/or healthcare cost accounting systems. Experience with Epic Systems Corporation's Clarity &amp; Caboodle reporting databases in strongly preferred.</li><li>
Strong consultative customer service and communications skills (verbal and written) to effectively interact with researchers, clinicians, hospital administrators, and other IT personnel.</li><li>
Knowledge of ETL development best practices is required, including explicit source-to-target mappings; pattern-based and parameter driven development; and rigorous version control using GIT, BitBucket, Microsoft Teams Foundation Server (TFS), or equivalent.</li><li>
Experience with DevOps and Software Development Life Cycle (SDLC) best practices. Experience with Agile methodologies (Scrum, Kanban) and tools (Atlassian, Jira and Confluence) is a strong plus.</li><li>
Strong knowledge of relational and dimensional data modeling principles and best practices.</li><li>
Excellent critical thinking, problem solving, multi-tasking and collaboration skills.</li><li>
Fast learner with the ability to work independently and productively in a fast-paced environment.</li><li>
Experience with database administration tasks in a MS SQL Server environment is a plus: database configuration, performance tuning indexes, partitioning, materialized views, and other methods for improving query performance; user provisioning and access permissions; backups and restorations.</li><li>
Experience working with MS SSRS, MS Power BI, Tableau or similar business intelligence tools.</li><li>
Scripting experience (shell, Python, PERL or similar) .</li><li>
Some experience with HL7 messages and web services interfaces (e.g. REST API).</li><li>
Experience with OMOP.</li></ul><p></p><p><b><br>
Compensation Statement</b></p><p>
The Mount Sinai Health System (MSHS) provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $145,200.00 - $217,875.00 Annually. Actual salaries depend on a variety of factors, including experience, education, and operational need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.</p><p>
Non-Bargaining Unit, J18 - AI and Human Health - ISM, Icahn School of Medicine</p><p></p><b><br>
Employer Description</b><p><b>
Strength through Unity and Inclusion</b></p>
<p>
The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai&rsquo;s unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual.</p>
<p>
At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history.</p>
<p><b>
About the Mount Sinai Health System:</b></p>
<p>
Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time &mdash; discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients&rsquo; medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News &amp; World Report's Best Hospitals, receiving high &quot;Honor Roll&quot; status, and are highly ranked: No. 1 in Geriatrics, top 5 in Cardiology/Heart Surgery, and top 20 in Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News &amp; World Report&rsquo;s &ldquo;Best Children&rsquo;s Hospitals&rdquo; ranks Mount Sinai Kravis Children's Hospital among the country&rsquo;s best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 11 nationwide in National Institutes of Health funding and in the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. Newsweek&rsquo;s &ldquo;The World&rsquo;s Best Smart Hospitals&rdquo; ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally.</p>
<p><b>
Equal Opportunity Employer</b></p>
<p>
The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization.</p><p><b><br>
Compensation</b></p><p>
The Mount Sinai Health System (MSHS) provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $145200 - $217875 Annually. Actual salaries depend on a variety of factors, including experience, education, and operational need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.</p></div>

Lead Clinical Data Warehouse Engineer - Scientific Computing & Data

Capgemini

<div><div><div><p>New York</p><div>
GCP Data Engineer</div><p>
</p></div></div><p></p><div><div><div><div><div><div>
Responsibilities</div><ul><li>
Contribute to the migration of legacy data warehouse to a google cloud-based data warehouse for a Telecom Major..</li><li>
Collaborate with Data Product Managers, Data Architects to design, implement, and deliver successful data solutions</li><li>
Help architect data pipelines for the underlying data warehouse and data marts</li><li>
Design and develop very complex ETL pipelines in Google cloud Data environments.</li><li>
Our legacy tech stack includes Teradata and new tech stack includes GCP Cloud Data Technologies like BigQuery and Airflow and languages include SQL , Python</li><li>
Maintain detailed documentation of your work and changes to support data quality and data governance</li><li>
Support QA and UAT data testing activities</li><li>
Support Deployment activities to higher environments</li><li>
Ensure high operational efficiency and quality of your solutions to meet SLAs and support commitment to our customers (Data Science, Data Analytics teams)</li><li>
Be an active participant and advocate of agile/scrum practice to ensure health and process improvements for your team</li></ul><div>
</div><div>Basic Qualifications</div><ul><li>
8+ years of data engineering experience developing large data pipelines in very complex environments</li><li>
Very Strong SQL skills and ability to build Very complex transformation data pipelines using custom ETL framework in Google BigQuery environment</li><li>
Exposure to Teradata and ability to understand complex Teradata BTEQ scripts</li><li>
String Python programming skills</li><li>
Strong Skills on build Airflow Jobs and Debug issues</li><li>
Ability to Optimize the Query in BigQuery</li><li>
Hands-on experience on Google Cloud data Technologies ( GCS , BigQuery, Dataflow, Pub sub, Data Fusion , Cloud Function)</li></ul><div>
</div><div>Preferred Qualifications</div><ul><li>
Experience with cloud data warehouse technology BigQuery.</li><li>
Nice to have experience with Cloud technologies like GCP (GCS , Data Proc, Pub/sub, Data flow, Data Fusion, Cloud Function)</li><li>
Nice to have exposure to Teradata</li><li>
Solid experience with Job Orchestration Tools like Airflow and ability to build complex Jobs.</li><li>
Writing and maintaining large Data Pipelines using Custom ETL framework</li><li>
Ability to Automate Jobs using Python</li><li>
Familiarity with Data Modeling techniques and Data Warehousing standard methodologies and practices</li><li>
Very good experience with Code Version control repository like Github</li><li>
Good Scripting skills, including Bash scripting and Python</li><li>
Familiar with Scrum and Agile methodologies</li><li>
Problem solver with strong attention to detail and excellent analytical and communication skills</li><li>
Ability to work in Onsite / Offshore model and able to lead a Team.</li></ul><div><div><div><div>
Job Description</div></div><div>
Data engineers are responsible for building reliable and scalable data infrastructure that enables organizations to derive meaningful insights, make data-driven decisions, and unlock the value of their data assets.</div></div><div><div><div>
Job Description - Grade Specific</div></div><div>
The involves leading and managing a team of data engineers, overseeing data engineering projects, ensuring technical excellence, and fostering collaboration with stakeholders. They play a critical role in driving the success of data engineering initiatives and ensuring the delivery of reliable and high quality data solutions to support the organizations data driven objectives.</div></div></div><p>
The base compensation range for this role in the posted location is:$76,200 to $187,740</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>
396972-en_GB</div></div><div><div>
Posted on</div><div>
27 Feb 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>
New York</div></div><div><div>
Business unit</div><div>
I and D Global Business Line</div></div><div><div>
Brand</div><div>
Capgemini</div></div><div><div>
Professional communities</div><div>
Data &amp; AI</div></div></div></div></div></div></div></div></div><p></p>

GCP Data Engineer

The Cypress Group

<div>
 <p>
  Our client is a growing Fintech software company Headquarted in New York, NY. They have several hundred employees and are in growth mode.
 </p>
 <p>
  <br/>
 </p>
 <p>
  They are currently looking for a Senior Data Engineer w/ 6+ years of overall professional experience. Qualified candidates will have hands-on experience with Python (6 years), SQL (6 years), DBT (3 years), AWS (Lambda, Glue), Airflow and Snowflake (3 years). BSCS and good CS fundamentals.
 </p>
 <p>
  <br/>
 </p>
 <p>
  The Senior Data Engineer will work in a collaborative team environment and will be responsible for building, optimizing and scaling ETL Data Pipelines, DBT models and Datawarehousing. Excellent communication and organizational skills are expected.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This role features competitive base salary, equity, 401(k) with company match and many other attractive perks. Please send your resume to nyjobs@cypressg.com for immediate consideration.
 </p>
</div>


Senior Data Engineer

Hudson Manpower

<div><p><b>Job Description</b></p><p>
We are seeking a <b>highly skilled Senior Data Engineer</b> to join our team in New York City. The ideal candidate will have strong experience in <b>data engineering, Python development, and modern data platforms</b>. This role involves designing, developing, and maintaining scalable data solutions while working closely with business stakeholders and technical teams.</p><p></p><p><b>
Location:</b> New York City, NY (Hybrid &ndash; 3 days onsite)</p><p><b>
Interview Process:</b> In-person interview required in NYC.</p><p><b>
Note:</b> Candidates must have <b>recent Banking / Financial domain experience</b>.</p><p></p><p><b>
Key Responsibilities</b></p><ul><li>
Understand and analyze <b>technical specifications and business requirements</b>.</li><li>
Collaborate with <b>business analysts and business users</b> to gather requirements and deliver data solutions.</li><li>
Develop applications and data pipelines using <b>Python, SQL Server, Snowflake, and Databricks</b>.</li><li>
Design and maintain <b>data models and schemas</b> to support data integration and analytics.</li><li>
Implement <b>data validation and quality checks</b> to ensure data accuracy and consistency.</li><li>
Perform <b>Unit Testing (UT) and System Integration Testing (SIT)</b> with business analysts.</li><li>
Support <b>User Acceptance Testing (UAT)</b> with business users.</li><li>
Provide <b>production support and ongoing maintenance</b> of data platforms and applications.</li></ul><p><b><br>
Required Qualifications</b></p><p><b>
General</b></p><ul><li><b>
12+ years of IT industry experience</b>.</li><li>
Strong <b>communication and collaboration skills</b>.</li><li>
Experience working in <b>Agile environments and SDLC processes</b>.</li><li>
Experience with <b>system design and architecture</b>.</li><li>
Experience working in <b>global delivery models (onshore/offshore teams)</b>.</li><li>
Strong <b>analytical and problem-solving skills</b>.</li><li>
Self-driven, collaborative team player able to work with minimal supervision.</li></ul><p><b><br>
Technical Skills</b></p><p><b>
Mandatory Skills</b></p><ul><li><b>
Python</b></li><li><b>
SQL Server and relational database concepts</b></li><li><b>
Azure Databricks</b></li><li><b>
Snowflake</b></li><li><b>
ETL development</b></li><li><b>
Scheduler tools (Autosys / Control-M)</b></li><li><b>
CI/CD pipelines</b></li></ul><p><b><br>
Nice to Have</b></p><ul><li><b>
PySpark</b></li><li>
Experience in <b>financial systems, capital markets, credit risk, or regulatory applications</b></li></ul></div>

CVS Health

<div><p>We&rsquo;re building a world of health around every individual &mdash; shaping a more connected, convenient and compassionate health experience. At CVS Health&reg;, you&rsquo;ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger &ndash; helping to simplify health care one person, one family and one community at a time.</p><p></p><p><b>
Position Summary</b></p><p>
If you&rsquo;re eager to make a real impact in the health care industry through your own meaningful contributions, explore a role in technology with CVS Health. Our journey calls for technical innovators and data visionaries: come help us pave the way.</p><p></p><p>
At CVS Health, we possess an extensive repository of healthcare data that spans over 150 million individuals, providing an unparalleled foundation for ambitious Data Engineers. In this role, you will engage with complex business challenges, harnessing modern tools and technologies to securely store, process, transform, and enrich terabyte to petabyte scale healthcare data. Your work will underpin data-driven business decisions and contribute to our mission of delivering industry-best data products / software with a customer-first mindset and team-oriented approach.</p><p></p><p>
As a Senior Data Engineer, you will be instrumental in designing, developing, and maintaining optimal data pipelines to assemble large and intricate datasets, catering to the business requirements of various CVS lines of business. Collaborating closely with teams, you will craft tools to provide actionable insights and integrate them with consumer touchpoints.</p><p></p><p>
In this role, you will:</p><ul><li>
Architect and develop robust, scalable ETL/ELT pipelines using Cloud Dataflow, Cloud composer (Airflow), and Pub/Sub for both batch and streaming use cases. Leverage BigQuery as the central data warehouse and design integrations with other GCP services (e.g., Cloud storage, Cloud functions).</li><li>
Build and optimize analytical data models in BigQuery. Implement partitioning, clustering, and materialized views for performance and cost efficiency. Ensure compliance with data governance, access controls, and IAM best practices.</li><li>
Develop integrations with external systems (APIs, flat files etc.) using GCP-native or hybrid approaches. Utiilize tools like Dataflow or custom Python/Java services on Cloud Functions or Cloud Run to handle transformations and ingestion logic.</li><li>
Build automated CI/CD pipeline using Cloud Build, GitHub Actions, or Jenkins for deploying data pipeline code and workflows. Set up observability using Cloud Monitoring, Cloud Logging, and Error Reporting to ensure pipeline reliability.</li><li>
Lead architectural decisions for data platforms and mentor junior engineers on cloud-native data engineering patterns. Promote best practices for code quality, version control, cost optimization, and data security in a GCP environment. Drive initiatives around data democratization, including building reusable datasets and data catalogs via Datapelx or Data Catalog.</li></ul><p></p><p>
As leaders in healthcare, our analytics and engineering teams deliver innovative solutions to business problems by collaborating with cross-functional teams in a dynamic and agile environment. You will be part of a team that values collaboration and encourages innovative thinking at all levels. You will be intellectually challenged to solve problems associated with large scale complex, structured and unstructured data, that will allow you to grow your technical skills and engineering expertise.</p><p></p><p>
This role may work onsite 2 days a week in one of CVS Health's core hubs in: NYC, Hartford, CT or Wellesley, MA. Full-time Remote candidates will also be considered.</p><p></p><p><b>
Required Qualifications</b></p><ul><li>
3+ years of experience with SQL, NoSQL</li><li>
3+ years of experience with Python (or a comparable scripting language)</li><li>
3+ years of experience with Data warehouses (such as data modeling and technical architectures) and infrastructure components</li><li>
3+ years of experience with ETL/ELT, and building high-volume data pipelines</li><li>
3+ years of experience with reporting/analytic tools</li><li>
3+ years of experience with Query optimization, data structures, transformation, metadata, dependency, and workload management</li><li>
3+ years of experience with Big data and cloud architecture</li><li>
3+ years of hands-on experience building modern data pipelines within a major cloud platform (GCP, AWS, Azure)</li><li>
3+ years of experience with deployment/scaling of apps on containerized environment (i.e. Kubernetes, AKS)</li><li>
3+ years of experience with real-time and streaming technology (i.e. Azure Event Hubs, Azure Functions, Kafka, Spark Streaming)</li><li>
1+ year(s) of soliciting complex requirements and managing relationships with key stakeholders</li><li>
1+ year(s) of experience independently managing deliverables</li></ul><p></p><p><b>
Preferred Qualifications</b></p><ul><li>
Experience in designing and building data engineering solutions in cloud environments (preferably GCP)</li><li>
Experience with Git, CI/CD pipeline, and other DevOps principles/best practices</li><li>
Experience with bash shell scripts, UNIX utilities &amp; UNIX Commands</li><li>
Ability to leverage multiple tools and programming languages to analyze and manipulate data sets from disparate data sources</li><li>
Knowledge of API development</li><li>
Experience with complex systems and solving challenging analytical problems</li><li>
Strong collaboration and communication skills within and across teams</li><li>
Knowledge of data visualization and reporting</li><li>
Experience with schema design and dimensional data modeling</li><li>
Google Professional Data Engineer Certification</li><li>
Knowledge of microservices and SOA</li><li>
Formal SAFe and/or agile experience. Previous healthcare experience and domain knowledge</li><li>
Experience designing, building, and maintaining data processing systems</li><li>
Experience architecting and building data warehouse and data lakes</li></ul><p></p><p><b>
Education</b></p><ul><li>
Bachelor&rsquo;s Degree or equivalent work experience in Computer Science, Information Systems, Data Engineering, Data Analytics, Machine Learning, or related field required</li><li>
Master&rsquo;s Degree preferred</li></ul><p></p><p><b>
Anticipated Weekly Hours</b></p>
40<p></p><p><b>
Time Type</b></p>
Full time<p></p><p><b>
Pay Range</b></p><p>
The typical pay range for this role is:</p><p></p>
$83,430.00 - $222,480.00<p></p><p>
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.</p><p><br>
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.</p><p></p><p><b>
Great benefits for great people</b></p><p></p><p>
We take pride in our comprehensive and competitive mix of pay and benefits &ndash; investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:</p><ul><li><p><b>
Affordable medical plan options,</b> a <b>401(k) plan </b>(including matching company contributions), and an <b>employee stock purchase plan</b>.</p></li><li><p><b>
No-cost programs for all colleagues </b>including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.</p></li><li><p><b>
Benefit solutions that address the different needs and preferences of our colleagues</b> including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.</p></li></ul><p></p><p>
For more information, visit https://jobs.cvshealth.com/us/en/benefits</p><p></p>
We anticipate the application window for this opening will close on: 03/30/2026<p></p><p>
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</p></div>

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<div>New York City, New York 07008 Posted March 4th, 2026
 <div></div><p>Looking for more job opportunities? Click here!</p></div>
<br><div><p>Job Type: Contract</p>
<p>Job Category: IT</p>
<p>Job Description</p>
<p></p><h3 class="jobSectionHeader"><b>Role</b>:<b> </b>GIS Developer<br>
<b>Location</b>:<b> </b>NYC NY (Twice in a week)<br>
<b>Contract</b><br>
<br>
<b>Job Summary</b></h3><div>
We are seeking a skilled <b>GIS Developer</b> to design, develop, and maintain geospatial applications and spatial data solutions. The ideal candidate will have experience in GIS platforms, spatial databases, and web-based mapping technologies, along with strong programming skills to build scalable and efficient GIS systems.</div><div><b>
Key Responsibilities</b></div><ul><div>
Design, develop, and implement GIS-based applications and tools.</div><div>
Develop and maintain web mapping applications using GIS technologies.</div><div>
Perform spatial analysis and manage geospatial datasets.</div><div>
Integrate GIS data with enterprise systems and APIs.</div><div>
Create interactive maps, dashboards, and visualization tools.</div><div>
Develop scripts and automation workflows for geospatial data processing.</div><div>
Work with spatial databases for data modeling and optimization.</div><div>
Collaborate with business stakeholders to gather requirements and provide GIS solutions.</div><div>
Troubleshoot and resolve GIS application issues.</div><div>
Ensure data accuracy, integrity, and security of geospatial systems.</div></ul><p></p>
<p>Required Skills</p>
<p>CLOUD DEVELOPER</p> <p>SQL APPLICATION DEVELOPER</p></div>

GIS Developer-4

Afficiency

<div>
 <strong>
  Company Description
  <br/>
  <br/>
 </strong>
 Afficiency is a rapidly growing Insurtech startup whose mission is to provide life insurance to everyone on the platforms they already trust. Located in NYC, we design life insurance products that can be purchased entirely digitally and can be easily embedded into distribution platforms or with agents who sell insurance. The company is experiencing rapid growth and is well-funded. We are looking for new team members to join us on our journey to shake up the life insurance industry. We need individuals who bring passion, curiosity, and a desire for excellence.
 <br/>
 <br/>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 We are looking for a versatile AI Full Stack Engineer with strong prompt engineering expertise and a business-oriented mindset to join our team. This role sits at the intersection of software engineering, AI-powered development, and business strategy. You will collaborate directly with business product leaders to design, build, and ship end-to-end web and mobile applications using cutting-edge AI development tools such as Claude Code, GitHub Copilot, Cursor, and similar platforms.
 <br/>
 <br/>
 The ideal candidate is not just a technically proficient developer but a strategic thinker who understands how technology translates into business value. You will be responsible for rapidly prototyping, iterating, and delivering production-grade applications that solve real business problems&mdash;leveraging AI-assisted coding to dramatically accelerate the development lifecycle.
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 <strong>
  Responsibilities
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  <br/>
 </strong>
 <strong>
  Please note that this job is only hiring candidates that live in the Metro NYC area and can commute to the office.
  <br/>
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 </strong>
 <strong>
  AI-Powered Full Stack Development
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  <br/>
 </strong>
 <ul>
  <li>
   Design, develop, and deploy end-to-end web and mobile applications using modern frameworks (React, Next.js, Node.js, Python/Django, or similar).
  </li>
  <li>
   Leverage AI-assisted development tools (Claude Code, GitHub Copilot, Cursor, Windsurf, etc.) to accelerate coding, debugging, testing, and deployment workflows.
  </li>
  <li>
   Build responsive, accessible, and performant user interfaces with seamless backend API integrations.
  </li>
  <li>
   Implement cloud-native architectures on Azure, AWS, or GCP with CI/CD pipelines, containerization, and infrastructure-as-code.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Prompt Engineering &amp; AI Integration
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  <br/>
 </strong>
 <ul>
  <li>
   Craft, optimize, and maintain sophisticated prompts and prompt chains for large language models (LLMs) to power conversational interfaces, automation workflows, and intelligent features.
  </li>
  <li>
   Integrate AI/ML capabilities into applications, including natural language processing, content generation, data extraction, and decision support systems.
  </li>
  <li>
   Evaluate, benchmark, and select appropriate AI models and APIs for specific business use cases.
  </li>
  <li>
   Develop and maintain prompt libraries, templates, and best practices documentation for the engineering team.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Business Collaboration &amp; Product Delivery
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  <br/>
 </strong>
 <ul>
  <li>
   Partner directly with business product leaders, stakeholders, and cross-functional teams to translate business requirements into technical solutions.
  </li>
  <li>
   Participate in product discovery, roadmap planning, and sprint ceremonies to align engineering output with business objectives.
  </li>
  <li>
   Communicate technical concepts clearly to non-technical stakeholders and provide data-driven recommendations on technology choices.
  </li>
  <li>
   Rapidly prototype and iterate on concepts to validate product-market fit and user experience hypotheses.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Quality, Security &amp; Best Practices
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Write clean, maintainable, well-documented code with comprehensive test coverage (unit, integration, E2E).
  </li>
  <li>
   Implement security best practices including authentication (OAuth2, SSO), data encryption, and compliance frameworks (SOC 2, GDPR, HIPAA as applicable).
  </li>
  <li>
   Conduct code reviews, mentor junior developers, and contribute to engineering culture and standards.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Proven full‑stack engineering experience delivering and maintaining production‑grade applications.
  </li>
  <li>
   Expertise in modern frontend frameworks such as React, Next.js, Vue, or Angular.
  </li>
  <li>
   Strong backend development skills using Node.js, Python, Java, or Go.
  </li>
  <li>
   Practical experience with AI‑assisted development tools (e.g., GitHub Copilot, Claude Code, Cursor).
  </li>
  <li>
   Hands‑on experience integrating LLMs, prompt engineering, and building AI‑driven product features.
  </li>
  <li>
   Cloud proficiency&mdash;Azure preferred&mdash;covering serverless services, SQL/NoSQL databases, and DevOps workflows.
  </li>
  <li>
   Deep understanding of REST APIs, GraphQL, microservices, and event‑driven architectures.
  </li>
  <li>
   Excellent communication skills and ability to translate business requirements into technical deliverables.
  </li>
  <li>
   Bachelor's degree in computer science or equivalent professional experience.
  </li>
  <li>
   Preferred: background with Microsoft ecosystem (Azure AI, Power Platform, Copilot Studio), SaaS/B2B products, data/ETL platforms, mobile development, security frameworks, startup environments, or business certifications (MBA/PM).
  </li>
  <li>
   Excellent problem-solving skills and the ability to troubleshoot complex data pipeline issues.
  </li>
  <li>
   Strong communication skills to collaborate effectively with cross-functional teams.
  </li>
  <li>
   Knowledge of data privacy and security best practices.
  </li>
  <li>
   Experience with containerization and orchestration tools like Docker and Kubernetes is a plus.
  </li>
  <li>
   Certifications in relevant technologies (e.g., AWS Certified Data Analytics - Specialty) are advantageous.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Additional Information
  <br/>
  <br/>
 </strong>
 <strong>
  What We Offer
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Competitive salary with equity options
  </li>
  <li>
   Robust health, dental, and vision benefits for employee and dependents
  </li>
  <li>
   401k matching contributions
  </li>
  <li>
   Generous PTO policy
  </li>
  <li>
   Work at a supportive and fast-growing startup with a fantastic team
  </li>
  <li>
   Environment to learn from other team members, grow a business from the ground up.
  </li>
  <li>
   Support in developing your skills and accelerating your career quickly.
  </li>
  <li>
   Opportunity to make an impact in the lives of tens of millions of consumers and get families the protection they need.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Afficiency is an Equal Opportunity Employer. All your information will be kept confidential according to EEO guidelines.
 </strong>
</div>


Full Stack Developer

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