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data pipeline engineer

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><h1 class="jobSectionHeader"><b>
Position Summary</b></h1><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 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>
As a Data Engineer, you will:</p><ul><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. Utilize 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></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>
1+ years of experience with SQL, NoSQL</li><li>
1+ years of experience with Python (or a comparable scripting language)</li><li>
1+ years of experience with Data warehouses (such as data modeling and technical architectures) and infrastructure components</li><li>
1+ years of experience with ETL/ELT, and building high-volume data pipelines</li><li>
1+ years of experience with reporting/analytic tools</li><li>
1+ years of experience with query optimization, data structures, transformation, metadata, dependency, and workload management</li><li>
1+ years of experience with Big data and cloud architecture</li><li>
1+ years of hands-on experience building modern data pipelines within a major cloud platform (GCP)</li><li>
1+ years of experience with deployment/scaling of apps on containerized environment (i.e. Kubernetes, AKS)</li><li>
1+ years of experience with real-time and streaming technology (i.e. Kafka, Spark Streaming)</li><li>
1+ year(s) of soliciting complex requirements and managing relationships with key stakeholders</li></ul><p></p><p><b>
Preferred Qualifications
</b></p><ul><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 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>
Understanding of software development methodologies including waterfall and agile</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 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>
$64,890.00 - $173,040.00<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>

Data Engineer

<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>

Senior Data Engineer

Trepp

<p></p><div><p>Trepp's Data Platform Team is responsible for the distributed systems and datalake architectures that power our entire product suite. As a member of the Data Platform Team, you will focus on building robust foundations and scalable frameworks that empower our developers and ensure platform stability. Beyond infrastructure, you will play a key role in building and maintaining reliable, high-quality data products that serve as the backbone for business-critical insights. We own the end-to-end data lifecycle&mdash;from ingestion frameworks to observability stacks&mdash;allowing Trepp to scale effectively in a data-driven market.</p>
<p>
We are looking for a code-first Data Engineer to join our NYC office and help transform complex data requirements into elegant, automated solutions.</p><h3 class="jobSectionHeader"><b><br>
</b></h3>
<h3 class="jobSectionHeader"><b>What You'll Do:</b></h3>
<ul>
<li><p>Build &amp; Enhance: Collaborate with senior engineers to build, maintain, and scale our core data ingestion and pipeline frameworks.</p>
</li>
<li><p>Own the Architecture: Dive deep into our platform's design to contribute meaningfully to technical discussions and high-impact project implementations.</p>
</li>
<li><p>Ship Quality Code: Translate complex technical requirements into clean, testable, and scalable Python code and data workflows.</p>
</li>
<li><p>Innovate &amp; Research: Participate in &quot;Proof of Concept&quot; (PoC) initiatives to test-drive new open-source tools and cutting-edge methodologies.</p>
</li>
<li><p>Stability First: Champion engineering best practices&mdash;like robust unit testing and thorough documentation&mdash;to keep the platform rock-solid as we grow.</p></li><br>
</ul>
<h3 class="jobSectionHeader"><b>Requirement:</b></h3>
<ul>
<li><p>Education<b>:</b> Bachelor's or Master's Degree in Computer Science, Data Engineering, or a related field.</p>
</li>
<li><p>Experience: 1&ndash;3 years of experience in data or software engineering. We highly value relevant internships, research assistantships, or significant academic projects as part of this experience.</p>
</li>
<li><p>Coding<b>:</b> Strong proficiency in Python (preferred), Java, or Scala, with an emphasis on writing clean, testable code</p>
</li>
<li><p>Data<b>:</b> Solid understanding of SQL and relational database concepts and data modeling.</p>
</li>
<li><p>Engineering<b>:</b> Familiarity with Git workflows, SDLC, and basic CI/CD principles.</p>
</li>
<li><p>Mindset<b>:</b> Strong problem-solving skills and the ability to explain the &quot;why&quot; behind your technical decisions.</p></li><br>
</ul>
<h3 class="jobSectionHeader"><b>What Gives You An Edge:</b></h3>
<ul>
<li><p>Cloud: Familiarity with AWS services (S3, Lambda, EMR, or Glue).</p>
</li>
<li><p>Big Data: Hands-on experience or academic exposure to Apache Spark.</p>
</li>
<li><p>Modern Tech: Interest or experience with LLMs and AI-driven data workflows.</p></li></ul><br>
<p></p>
<p>
</p><p><b>Salary Range:</b></p>
<ul>
<li>Base salary starting from $155k plus bonus eligible</li></ul><br>
<p></p>
<p><b>
Benefits and Perks:</b></p>
<ul>
<li>Base + target bonus compensation structure</li>
<li>Medical, Dental, Vision insurance</li>
<li>401K (with employer match)</li>
<li>Life insurance, long term disability, short term disability all covered by the company</li>
<li>Flexible paid time off (PTO)</li>
<li>Sixteen (16) weeks paid primary caregiver leave <i>(Biological, adoptive, and foster parents are all eligible)</i></li>
<li>Four (4) weeks paid parental leave</li>
<li>Wellness subsidy</li>
<li>Pet insurance</li>
<li>Laptop + WFH equipment
</li><li>Career progression plan</li>
<li>Pre-tax commuter benefit with company subsidy<i> (For NYC-office based employees only)</i></li>
<li>Fun company events and volunteering opportunities</li>
</ul>
<p>Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Trepp (i.e., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status).</p><br>
<p></p>
<p><b>
Workplace Policy:</b></p>
<p><i>
NYC, PA, and London office-based positions:</i> Trepp's offices follows a 3-2 hybrid-working policy with the expectation of in-office work on Tuesday-Thursday and the option to work from home on Monday and Friday.</p><br>
<p></p>
<p><b>
About Trepp</b></p>
<p>
Trepp, Inc. founded in 1979, is the leading provider of information, analytics and technology to the CMBS, commercial real estate and banking markets. Trepp provides primary and secondary market participants with the web-based tools and insight they need to increase their operational efficiencies, information transparency and investment performance. Trepp serves its clients with products and services to support trading, research, risk management, surveillance and portfolio management. Trepp is wholly-owned by DMG Information, a division of the Daily Mail and General Trust (DMGT).</p></div><p></p>

Data Engineer II

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

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>


Authentic

<div>
 Authentic helps insurance brokers create better insurance products for their clients. We provide the technology platform and behind-the-scenes support that lets brokers build custom insurance solutions for specific industries or customer groups. Think of us as the operating system that powers these specialized insurance offerings. For brokers, this means they can offer unique products their competitors don't have, earn more money, and spend less time on paperwork and administrative tasks. We handle the complex (technology, compliance, and partnerships with highly-rated insurance carriers), so they can focus on serving their customers and growing their business.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and build reliable data pipelines and infrastructure that power underwriting models, claims processing, and operational reporting
  </li>
  <li>
   Own data models end-to-end&mdash;from source ingestion through transformation to delivery&mdash;ensuring data quality, freshness, and accessibility for internal teams, product features, and external partners
  </li>
  <li>
   Identify bottlenecks in existing data workflows and implement solutions that improve reliability, reduce latency, and scale with business growth
  </li>
  <li>
   Build and maintain the data warehouse architecture, optimizing for both analytical workloads and operational use cases
  </li>
  <li>
   Partner with engineering, product, and ops teams to understand data needs and translate them into well-designed pipelines and models
  </li>
  <li>
   Implement monitoring, alerting, and data quality checks to catch issues before they impact downstream consumers
  </li>
  <li>
   Contribute to data governance practices, including documentation, lineage tracking, and access controls for regulatory and compliance needs
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3-5 years of experience building and maintaining data pipelines and infrastructure in production environments
  </li>
  <li>
   Strong proficiency with modern data stack tools: Snowflake, dbt, and Airflow (or similar orchestration tools)
  </li>
  <li>
   Experience with Python for data processing and pipeline development
  </li>
  <li>
   Solid understanding of data modeling best practices (dimensional modeling, slowly changing dimensions, etc.)
  </li>
  <li>
   Familiarity with AWS data services and infrastructure-as-code
  </li>
  <li>
   Demonstrated ownership mindset: you clarify requirements, ask great questions, and drive work to completion
  </li>
  <li>
   Track record of building reliable systems without sacrificing velocity&mdash;you know when to move fast and when to be careful
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Our (FTE) benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Competitive salary, equity, and role trajectory
  </li>
  <li>
   Comprehensive health benefits for you and your family
  </li>
  <li>
   401(k) plan with company match
  </li>
  <li>
   Unlimited PTO
  </li>
  <li>
   Paid parental leave
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About Authentic
  <br/>
  <br/>
 </strong>
 Authentic is transforming how insurance is distributed. We design and power custom insurance programs, helping brokers and partners unlock better economics and deliver a modern, tech-enabled experience to their clients. We're a Series A company backed by top investors, including FirstMark Capital, Zigg Capital, Slow Ventures, Clocktower, Commerce Ventures, and Altai. We've grown 15x+ in the past year with a massive market opportunity ahead.
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 <em>
  Authentic is committed to building an inclusive working environment regardless of gender, sexual orientation, religion, ethnicity, race, education, age, or other personal characteristics. We believe that people do their best work when they can be themselves, and different perspectives and experiences make us stronger as a team. We're proud of the supportive and inclusive workplace we're building together and are always working to make it even better.
 </em>
</div>


Software Engineer - Data

Spotify

<div><div><div><div><div><div>Engineering</div></div></div></div><div><div>
Permanent</div></div><div><div>
New York</div></div><div><div>
We are seeking Data Engineers to join our Artist-First AI Music lab. Our team designs and builds state-of-the-art generative products for music that create breakthrough experiences for fans and artists. We invent entirely new listening experiences that center and celebrate artists and creatives. All of our products will put artists and songwriters first, through these four principles:</div></div><div><div><div><br>
</div><div>Partnerships with record labels, distributors, and music publishers: We&rsquo;ll develop new products for artists and fans through upfront agreements, not by asking for forgiveness later.</div><div><br>
</div><div>Choice in participation: We recognize there&rsquo;s a wide range of views on use of generative music tools within the artistic community. Therefore, artists and rightsholders will choose if and how to participate to ensure the use of AI tools aligns with the values of the people behind the music.</div><div><br>
</div><div>Fair compensation and new revenue: We will build products that create wholly new revenue streams for rightsholders, artists, and songwriters, ensuring they are properly compensated for uses of their work and transparently credited for their contributions.</div><div><br>
</div><div>Artist-fan connection: AI tools we develop will not replace human artistry. They will give artists new ways to be creative and connect with fans. We will leverage our role as the place where more than 700 million people already come to listen to music every month to ensure that generative AI deepens artist-fan connections.</div></div></div></div><div><div><p>
What You'll Do</p><ul><li>
Build and maintain large-scale data pipelines, including ML pipelines, with data processing frameworks like Scio and Python-based tools on Google Cloud Platform.</li><li>
Leverage data engineering best practices in continuous integration and delivery.</li><li>
Help drive optimization, testing and tooling to improve data quality and reliability.</li><li>
Collaborate with engineers, product managers, subject matter experts, and stakeholders while taking on learning and leadership opportunities that arise every day.</li><li>
Work in cross-functional, agile teams to continuously experiment, iterate, and deliver on new product objectives.</li></ul></div></div><div><div><p>
Who You Are</p><ul><li>
You have at least 3+ years of professional experience working in a product-driven environment.</li><li>
You have experience working with high-volume, heterogeneous data using distributed systems and big data technologies such as Python, Scala (e.g., Scio), Ray, Apache Spark, or similar frameworks used for distributed data processing.</li><li>
You are proficient in designing and building distributed data pipelines in Python, Scala, or Java, with experience in frameworks like Scio on platforms such as Dataflow.</li><li>
You understand data modeling, data access, and data storage techniques, and can apply them to both batch and analytical processing (e.g., using BigQuery for analysis).</li><li>
You value iterative software processes, data-driven development, reliability, and responsible experimentation, with attention to cost efficiency and best practices in data engineering.</li><li>
You thrive in collaborative environments and enjoy working with cross-functional teams.</li><li>
You are a creative problem solver who is passionate about building outstanding products that add real value to millions of people.</li><li>
You are enthusiastic about learning more about turning research ideas into products operating at scale</li></ul></div></div><div><div><p>
Where You'll Be</p><ul><li>
We offer you the flexibility to work where you work best! For this role, you can be within the Eastern United States region as long as we have a work location.</li><li>
This team operates within the EST time zone for collaboration.</li></ul></div></div><div><div><p>
Learn about life at Spotify</p></div><div><div>
The United States base range for this position is $125,300 - $179,000 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays. This range encompasses multiple levels. Leveling is determined during the interview process. Placement in a level depends on relevant work history and interview performance. These ranges may be modified in the future.</div><div></div><div><br>
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what&rsquo;s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It&rsquo;s in our differences that we will find the power to keep revolutionizing the way the world listens.</div><div></div><div><br>
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we&rsquo;re here to support you in any way we can.</div><div></div><div><br>
Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world&rsquo;s most popular audio streaming subscription service.</div></div></div><div><div><p>
Our global benefits</p></div><div></div><div><div>
Extensive learning opportunities, through our dedicated team, GreenHouse.</div></div><div></div><div><div>
Flexible share incentives letting you choose how you share in our success.</div></div><div></div><div><div>
Global parental leave, six months off - for all new parents.</div></div><div></div><div><div>
All The Feels, our employee assistance program and self-care hub.</div></div><div></div><div><div>
Flexible public holidays, swap days off according to your values and beliefs.</div></div></div></div><div></div>

Data Engineer II, Gen AI, Music

Explore 820+ Data pipeline engineer in New York this March. Find roles across top companies and apply now to boost your career.

820 data pipeline engineer jobs In New York

Data Engineer

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Lead Clinical Data Warehouse Engineer - Scientific Computing & Data

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Software Engineer - Data

Data Engineer II, Gen AI, Music