data analyst

data engineer

software engineer

data engineer ii

data scientist

data warehouse engineer

Mount Sinai Health System

<div>Description
The Scientific Computing and Data team at the Icahn School of Medicine at Mount Sinai partners with scientists and clinicians to accelerate scientific discovery. The AI-Ready.Mount Sinai (AIR.MS) platform contains patient data generated from the clinical care processes at the Mount Sinai Health System. AIR&middot;MS is a cloud-based, high-performance SAP HANA data platform with electronic health record (EHR) data in an OMOP data format. It also contains metadata from and links to raw data sets in other modalities, such as radiology, genomics and pathology. Researchers can access the AIR.MS data through direct database access, AI agents, cohort query tools and the Minerva high-performance computer. AIR.MS ingests OHDSI&rsquo;s Observational Medical Outcomes Partnership (OMOP)-formatted EHR data from the Mount Sinai Data Warehouse. AIR.MS is integrated with Minerva, a high-performance computer with &gt;21 petaflops of raw computational power and the raw radiology, genomics and pathology data sets. An expert team of 20+ PhD/MD computational scientists, biomedical informaticists and computer scientists partner with researchers and clinicians to effectively and efficiently utilize these resources for translational science.
The Lead Data Warehouse Engineer is a senior technical specialist responsible for leading the ongoing integration of multi-modal clinical data into the AIR.MS data warehouse. The Lead Data Warehouse Engineer will assess the state of data integration, identify opportunities for data integration based on researcher&rsquo;s priorities, develop a plan to integrate metadata and data, and execute on the data integration. The incumbent will work collaboratively with other members of the AIR.MS data platform and Mount Sinai Data Warehouse teams to lead technical efforts for the integration of multi-modal data sets resulting in expanded AIR.MS functionality. The AIR.MS data warehouse is built on the SAP HANA technology stack and MSDW is built on MySQL.
Responsibilities<ul><li>
Design databases and pipelines that balance functionality, performance, cost, and development time; evaluate technical options with the product manager.</li><li>
Design, build, test, and maintain data pipelines that extract/capture data from source systems, transform and augment those data, and integrate it into a multi-modal data repository.</li><li>
Serve as a team leader; contribute to project planning, work breakdown, dependency sequencing, and release management.</li><li>
Develop and promote standards, conventions, design patterns, DevOps/SDLC best practices, and operational procedures for pipelines and warehouse maintenance.</li><li>
Mentor junior engineers in data warehousing, data engineering skills, and operational support.</li><li>
Design, build, and maintain data management processes, including loading flat files (csv, tsv, pipe-delimited, JSON).</li><li>
Lead design sessions, code walkthroughs, peer reviews, and produce technical documentation.</li><li>
Tune database objects, stored procedures, and pipelines to optimize performance and minimize compute and storage costs.</li><li>
Monitor database and pipeline operations; lead troubleshooting and remediation of failures; provide occasional after-hours on-call support.</li><li>
Collaborate with DBAs and system administrators on backups, performance tuning, statistics/index maintenance, and patching.</li><li>
Provide high-quality customer service to researchers, clinicians, and internal partners; maintain a science‑driven, customer-focused approach.</li><li>
Ensure patient privacy and data security in compliance with IRB &amp; cybersecurity policies, HIPAA, 42 CFR Part 2, NYS Article 27-F, and other regulations.</li><li>
Stay current with emerging technologies to improve capabilities, efficiency, quality, or cost.</li><li>
Identify improvements in procedures, technology, compliance, and data privacy/security.</li><li>
Periodically assist DBAs with user provisioning, backups, restorations, capacity planning, and performance monitoring.</li><li>
Perform related duties as assigned.</li></ul>
Qualifications<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 designing, developing, and maintaining relational databases, data pipelines, and dimensional/OLAP warehouses.</li></ul>
Preferred:<ul><li>
Expert knowledge of data warehousing: 3NF &amp; dimensional modeling (fact table types, SCDs), change data capture, incremental loads, data lineage, source-to-target mappings, pattern-based &amp; parameter-driven development.</li><li>
Expert-level experience with data engineering technologies: SQL, indexing, stored procedures, UDFs, sequences, dynamic SQL, data transformation tools, job orchestration tools for data processing.</li><li>
Experience with DevOps/SDLC best practices; Agile (Scrum, Kanban) with JIRA and Confluence; version control with git.</li><li>
Strong communication and customer service skills for working with researchers, clinicians, administrators, and IT staff.</li><li>
Excellent critical thinking, problem-solving, multitasking, and collaboration skills; ability to work independently in a fast-paced environment.</li><li>
Preferred experience with healthcare data (EHR, billing/claims, cost accounting), Epic Clarity/Caboodle, data models (OMOP, i2b2, PCORnet).</li><li>
Experience with database administration: configuration, performance tuning, partitioning, materialized views, permissions, backups &amp; restorations.</li></ul> 
Employer Description
Strength through Unity and Inclusion 

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. 

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. 

About the Mount Sinai Health System: 

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. 

Equal Opportunity Employer 

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. 

Compensation
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.</div>

Lead Data Warehouse Engineer - Artificial Intelligence-Ready Mount Sinai (AIR.MS)

Humana

<div><h1 class="jobSectionHeader">Become a part of our caring community 
</h1>
The Lead Data Engineer is responsible for leading the modernization, optimization, and stabilization of the Wisconsin Medicaid Market's data platform ecosystem across two independent health plan technology stacks. This role owns the market's Data Warehouse and ODS, drives ETL/data movement strategy (including SSIS modernization), and improves the reliability, observability, and security posture of data pipelines supporting critical Medicaid operations. 
The Lead Data Engineer partners closely with the Market BI team as their IT counterpart to improve data access and flow, including establishing and managing Databricks pipeline patterns and platform enablement as the BI environment evolves.
The Lead Data Engineer owns and evolves the Wisconsin Medicaid Market's data stores and data movement ecosystem, including the Data Warehouse and ODS, and the ETL processes that connect vendor and internal systems. This role is accountable for modernizing and optimizing the market's data platform to improve reliability, reduce technical debt, strengthen observability/fault tolerance, and increase engineering efficiency in a complex dual-stack environment.
The Lead Data Engineer is also the Market BI team's primary IT partner for data platform enablement &mdash; improving data access patterns, strengthening pipeline governance, and helping establish a maintainable approach to Databricks pipelines and workflows as the market matures its analytics capabilities.
This is a Lead-level individual contributor role where work requires higher autonomy and complexity and includes directing the work of a small number of contract resources while remaining hands-on in delivery.
Team Culture &amp; Expectations
On the Wisconsin Medicaid Market IT team, how you show up is as important as what you accomplish. We value a positive attitude, curiosity, ownership, and a desire to learn and make a meaningful difference. This role requires collaboration, high accountability, and comfort operating in ambiguity while continuously improving data reliability, security, and outcomes for associates, members, providers, and other stakeholders.<h1 class="jobSectionHeader"> 
Use your skills to make an impact 

</h1>Skills &amp; Capabilities
The ideal candidate blends deep data engineering fundamentals with the ability to lead through influence &mdash; setting direction, improving reliability, and guiding others' work (including contract resources) while staying hands-on.
Required Skills<ul><li>
SQL, ETL/ELT &amp; Data Platform Depth - Proven production experience with SQL Server data engineering, including warehousing patterns, operational support, performance tuning, and ETL/ELT design. Strong experience with SSIS/SSRS and Azure Data Factory (or similar orchestration) in real operating environments.</li><li>
Integration &amp; Interoperability Tooling (WI Market Reality) - Experience working across integration engines and healthcare data movement patterns, including tools such as Rhapsody / CorePoint</li><li>
Modernization, Optimization &amp; Stabilization Mindset - Demonstrated ability to modernize and optimize fragile pipelines and legacy patterns, reduce technical debt, and improve reliability, observability, and fault tolerance.</li><li>
Databricks / UDAP Growth Path (directional, not gatekeeping) - Experience with Databricks and/or enterprise data platforms (e.g., UDAP), or strong aptitude and desire to grow into these platforms as part of market modernization and enterprise alignment.</li><li>
Execution Leadership - Highly organized, self-directed, and able to drive work to outcomes in an ambiguous, rapidly changing environment including planning, sequencing, and communicating progress/risk. Experience creating detailed technical documentation to gain buy-in and drive decisions. Team operates in SAFe Agile practices.</li><li>
Vendor / Contract Resource Direction - Ability to direct and review contract resource work (clarify requirements, establish standards, review deliverables, ensure maintainability).</li></ul>
Preferred Skills<ul><li>
Own the market's data stores (Data Warehouse + ODS) and ensure stability, security, and performance</li><li>
AI Integration</li><li>
Lead modernization and optimization of the ETL ecosystem, including SSIS modernization and improved reliability/observability</li><li>
Drive reduction of legacy report patterns and support transition aligned to enterprise SSRS footprint reduction efforts</li><li>
Partner with Market BI as their IT counterpart to improve data access and establish/manage Databricks pipeline patterns</li><li>
Define and enforce data engineering standards aligned with enterprise direction.</li><li>
Reduce technical debt and streamline workflows to lower operational burden on engineers and increase delivery capacity</li></ul>
Additional Information
Work-At-Home Requirements<ul><li>
WAH requirements: Must have the ability to provide a high speed DSL or cable modem for a home office. Associates or contractors who live and work from home in the state of California will be provided payment for their internet expense.</li><li>
A minimum standard speed for optimal performance of 25x10 (25mpbs download x 10mpbs upload) is required.</li><li>
Satellite and Wireless Internet service is NOT allowed for this role.</li><li>
A dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information</li></ul>
Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.
Scheduled Weekly Hours
40
Pay Range
The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc. 

$142,300 - $195,700 per year 

This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.
Description of Benefits
Humana, Inc. and its affiliated subsidiaries (collectively, &ldquo;Humana&rdquo;) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.<h1 class="jobSectionHeader"> 
About us 
</h1>
About Inclusa: Inclusa manages the provision of a person-centered and community-focused approach to long-term care services and support to Family Care members across the state of Wisconsin. As a values-based organization devoted to building vibrant and inclusive communities, Inclusa deploys a unique approach to managed care with a trademarked model of support named Commonunity&reg; which focuses on the belief in everyone, and from that belief, the common good for all is achieved. In 2022, Inclusa was acquired by Humana. This partnership will allow us to create a model of care that provides industry-leading support for members across the health care continuum.
About Humana: Humana Inc. (NYSE: HUM) is a leading U.S. healthcare company. Through our Humana insurance services and our CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health &ndash; delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare and Medicaid, families, individuals, military service personnel, and communities at large. Learn more about what we offer at Humana.com and at CenterWell.com. 
 
Equal Opportunity Employer
It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.</div>

Lead Data Engineer – Modernization & Reliability

VERVE GROUP

<div>Verve For Advertisers is a technology company that empowers brands and agencies to connect moments of discovery and drive measurable outcomes across screens.

As part of Verve, we've unified the company's demand-side offering, bringing together the largest on-site search intent dataset outside of walled gardens, direct SDK integrations with top apps, alongside data partnerships with 3M+ websites and LLMs. Our technology captures both what consumers do and why they do it, delivering high-fidelity audiences, insights, and activation across premium omnichannel inventory.

We are looking for a Data Engineer to join our engineering team to help us manage our diverse and growing set of initiatives. This position is full-time with the option of working on-site from our NYC headquarters. Jun Group will only consider candidates for this position who are currently legally authorized to work in the United States.

Responsibilities include
<ul>
<li>Collaborate with our Product and Strategy teams to build customized reporting solutions for our clients</li>
<li>Integrate new internal data sources as well as third-party APIs to enhance our reporting capabilities</li>
<li>Streamline processes to allow for rapid prototyping to meet the reporting needs of new clients</li>
<li>Work with our Platform team to create monitoring which ensures data integrity</li>
<li>Experiment with new tech to find the right tool for the job</li>
<li>Use Kanban to manage multiple releases per week</li>
<li>Maintain high code quality through code reviews and automated tests</li>
</ul>
Here are a few indicators that you're the right person
<ul>
<li>You enjoy a fun, creative, and engaging working atmosphere free of brilliant jerks</li>
<li>You want to be part of a small team inside a large company with massive opportunity for growth</li>
<li>You enjoy collaboration with other teams including product, biz dev, and our in-house QA team</li>
<li>You eagerly dig into complex engineering problems</li>
</ul>
Preferred skills and experience
<ul>
<li>2+ years of relevant work experience</li>
<li>You have built customer&ndash;facing dashboards and reports using data visualization tools like Holistics, Looker, or Tableau</li>
<li>You are comfortable writing SQL and manipulating large structured or unstructured datasets for analysis</li>
<li>You've designed schemas and optimized queries for a data warehouse like BigQuery or ClickHouse</li>
<li>You've built and maintained batch ETL/ELT jobs using an orchestration platform like Airflow, Temporal, or Dagster</li>
<li>Familiarity with Google Cloud or AWS big data products</li>
</ul>
Some company benefits include
<ul>
<li>Competitive salary</li>
<li>Health, dental, and vision insurance, plus mental health resources</li>
<li>401(k) match and generous PTO</li>
<li>Hybrid work environment (NYC office)</li>
<li>Free lunch for onsite team members in NYC</li>
<li>Volunteer Opportunities</li>
<li>Opportunities for professional development in a high-growth ad tech company</li>
</ul>
Greater NY-area Residents: We currently have a hybrid remote work policy. All Jun Group employees living within a 90-minute (one way) commute of our NYC office are expected to be in the office three days per week.

We're open to allowing the right person to learn our industry on the job. We welcome diversity and non-traditional paths into all of our roles. We believe in hiring the right person as opposed to the right combination of keywords.

Communications regarding your application will only come from @jungroup.com or @verve.com email addresses.</div>

Data Engineer

<div>Verve For Advertisers is a technology company that empowers brands and agencies to connect moments of discovery and drive measurable outcomes across screens.

As part of Verve, we've unified the company's demand-side offering, bringing together the largest on-site search intent dataset outside of walled gardens, direct SDK integrations with top apps, alongside data partnerships with 3M+ websites and LLMs. Our technology captures both what consumers do and why they do it, delivering high-fidelity audiences, insights, and activation across premium omnichannel inventory.

We are looking for a Data Engineer to join our engineering team to help us manage our diverse and growing set of initiatives. This is a fully remote, 40-hour per week contract position with the opportunity to shape the future of advertising technology. This position is a contract role and can work remotely anywhere in the US or outside of the US. They should be willing and open to collaborate with our US based engineering team during their business hours.

Responsibilities include
<ul>
<li>Collaborate with our Product and Strategy teams to build customized reporting solutions for our clients</li>
<li>Integrate new internal data sources as well as third-party APIs to enhance our reporting capabilities</li>
<li>Streamline processes to allow for rapid prototyping to meet the reporting needs of new clients</li>
<li>Work with our Platform team to create monitoring which ensures data integrity</li>
<li>Experiment with new tech to find the right tool for the job</li>
<li>Use Kanban to manage multiple releases per week</li>
<li>Maintain high code quality through code reviews and automated tests</li>
</ul>
Here are a few indicators that you're the right person
<ul>
<li>You enjoy a fun, creative, and engaging working atmosphere free of brilliant jerks</li>
<li>You want to be part of a small team inside a large company with massive opportunity for growth</li>
<li>You enjoy collaboration with other teams including product, biz dev, and our in-house QA team</li>
<li>You eagerly dig into complex engineering problems</li>
</ul>
Preferred skills and experiences
<ul>
<li>2+ years of relevant work experience</li>
<li>You have built customer&ndash;facing dashboards and reports using data visualization tools like Holistics, Looker, or Tableau</li>
<li>You are comfortable writing SQL and manipulating large structured or unstructured datasets for analysis</li>
<li>You've designed schemas and optimized queries for a data warehouse like BigQuery or ClickHouse</li>
<li>You've built and maintained batch ETL/ELT jobs using an orchestration platform like Airflow, Temporal, or Dagster</li>
<li>Familiarity with Google Cloud or AWS big data products</li>
</ul>
Hourly Rate: $30-50/hour

We're open to allowing the right person to learn our industry on the job. We welcome diversity and non-traditional paths into all of our roles. We believe in hiring the right person as opposed to the right combination of keywords.

Communications regarding your application will only come from @jungroup.com or @verve.com email addresses.</div>

Data Engineer (Remote / Contract)

Nomura

<div>
 
 Job title: Lead Software Engineer
 
 
 
 
 Corporate Title: Associate
 
 
 
 
 Department: Technology
 
 
 
 
 Location: New York, NY
 
 
 
 The pay range for this position at commencement of employment is expected to be between $120,000 and $140,000 per year.
 
 
 
 Company Overview
 
 
 
 Nomura is a global financial services group with an integrated network spanning approximately 30 countries and regions. By connecting markets East &amp; West, Nomura services the needs of individuals, institutions, corporates and governments through its three business divisions: Wealth Management, Investment Management, and Wholesale (Global Markets and Investment Banking). Founded in 1925, the firm is built on a tradition of disciplined entrepreneurship, serving clients with creative soluti ons and considered thought leadership. For further information about Nomura, visit www.nomura.com .
 
 
 Aon&rsquo;s Benefit Index &reg; , Nomura&rsquo;s benefits
 
 rank
 
 
 #1
 
 amongst our competitors
 
 
 
 Department overview
 
 : CTS Core Corporate Services is responsible for delivering and supporting business applications across Human Resources, Audit, Legal, Business Resilience, and Real Estate in addition to offering cross-functional reporting and content management services
 
 
 
 Role Description
 
 
 
 The successful candidate will be a key member of the HR Technology team, responsible for developing and maintaining global HR applications with a primary focus on HR Analytics ecosystem. This role combines technical expertise with HR domain knowledge to deliver robust data solutions that enable advanced analytics and data science initiatives.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Manage and support HR business applications, including problem resolution and issue ownership
 </li>
 <li>
 Design and develop ETL/ELT layer for HR data integration and ensure data quality and consistency
 </li>
 <li>
 Provide architecture solutions for Data Modeling, Data Warehousing, and Data Governance
 </li>
 <li>
 Develop and maintain data ingestion processes using Informatica, Python, and related technologies
 </li>
 <li>
 Support data analytics and data science initiatives with optimized data structures and AI/ML tools
 </li>
 <li>
 Manage vendor products and their integrations with internal/external applications
 </li>
 <li>
 Gather requirements and translate functional needs into technical specifications
 </li>
 <li>
 Perform QA testing and impact analysis across the BI ecosystem
 </li>
 <li>
 Maintain system documentation and knowledge repositories
 </li>
 <li>
 Provide technical guidance and manage stakeholder communications
 
 
 </li>
 </ul>
 
 Required Skills &amp; Experience
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science or engineering with 4+ years of delivery and maintenance work experience in the Data and Analytics space.
 </li>
 <li>
 Strong hands-on experience with data management, data warehouse/data lake design, data modeling, ETL Tools, advanced SQL and Python programming.
 </li>
 <li>
 Exposure to AI &amp; ML technologies and experience tuning models and building LLM integrations.
 </li>
 <li>
 Experience conducting Exploratory Data Analysis (EDA) to identify trends and patterns, report key metrics.
 </li>
 <li>
 Extensive database development experience in MS SQL Server/ Oracle and SQL scripting.
 </li>
 <li>
 Demonstrable working knowledge of tools in CI/CD pipeline primarily GitLab and Jenkins
 </li>
 <li>
 Proficiency in using collaboration tools like Confluence, SharePoint, JIRA
 </li>
 <li>
 Analytical skills to model business functions, processes and dataflow within or between systems.
 </li>
 <li>
 Strong problem-solving skills to debug complex, time-critical production incidents.
 </li>
 <li>
 Good interpersonal skills to engage with senior stakeholders in functional business units and IT teams.
 </li>
 <li>
 Experience with Cloud Data Lake technologies such as Snowflake and knowledge of HR data model would be a plus.
 </li>
 <li>
 base pay offered may vary depending on multiple individualized factors, including market location, corporate and functional title and duties, job-related knowledge and advanced degrees, skills, and experience. The total compensation package for this position may also include other elements, including a sign-on bonus, restricted stock units, and discretionary awards in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
 
 
 </li>
 </ul>
 If hired, employee will be in an &ldquo;at-will position&rdquo; and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors&rdquo;.
 
 
 Nomura is an Equal Opportunity Employer
</div>

Associate - Data Engineer

Google

<div><h3 class="jobSectionHeader">Minimum qualifications:</h3><ul>
<li>Bachelor's degree or equivalent practical experience.</li>
<li>3 years of experience coding in one or more programming languages.</li>
<li>3 years of experience working with data infrastructure and data models by performing exploratory queries and scripts.</li>
<li>3 years of experience designing data pipelines, and dimensional data modeling for synch and asynch system integration and implementation using internal (e.g., Flume, etc.) and external stacks (DataFlow, Spark, etc.).</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>3 years of experience with statistical methodology and data consumption tools such as business intelligence tools, collabs, jupyter notebooks, Tableau, Power BI, DataStudio, and business intelligence platforms.</li>
<li>3 years of experience partnering with stakeholders (e.g., users, partners, customer), and managing stakeholders/customers.</li>
<li>3 years of experience developing project plans and delivering projects on time within budget and scope.</li>
<li>3 years of enterprise experience leveraging both SQL and another programming language (Java).</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
gTech&rsquo;s Product and Tools Operations team (gPTO) leverages deep user, operational, and technical insights to innovate Google's Ads products into customer experiences that are so intuitive (or automated) that they require no support at all. gPTO partners closely with gTech&rsquo;s Support, Professional Services, Product Management, and Engineering teams to innovate and simplify our Ads products and build the productivity tools ecosystem for gTech users.

Global Business and Operations Engineering (GBO Engineering) is an embedded product and engineering team within Google&rsquo;s ad sales organization. We build consumer-grade internal tooling for sales, marketing, and service teams. Within GBO Engineering the Data Hub team is the center of excellence for Data Engineering across the wider business organization. The Data Hub team owns mission critical infrastructure powering production systems, and owns novel data deep dives and pipelines used in strategic decision-making at the highest levels of Google's leadership.<div>
In this role, you will play a key part in building the foundational data infrastructure that powers Google's advertising products. You will be responsible for designing, developing, and maintaining a robust and scalable data warehouse solution that serves the needs of our internal teams and ultimately drives value for our customers.</div>
The US base salary range for this full-time position is $130,000-$187,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.<div>
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</div></div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Design, build, and maintain Extract, Transform, and Load (ETL) pipelines using SQL, Java, Python, and other technologies to ingest and transform data from various sources.</li>
<li>Develop and manage the data warehouse storage layers, leveraging Google BigQuery (equivalent internal technologies) and other technologies.</li>
<li>Create and maintain data marts and presentation layers to support reporting and analysis needs.</li>
<li>Collaborate with product owners, business stakeholders, and data analysts to understand data requirements and translate them into technical solutions.</li>
<li>Contribute to the development and implementation of data governance policies and procedures.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Data Engineer, Global Business and Operations

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
Amazon Web Services (AWS) is a dynamic and rapidly growing business within Amazon and the leader in providing secure, reliable, scalable, and innovative services that help over a million businesses, governments, education, and not for profits across the globe scale and grow! AWS provides a wide set of scalable services to meet customer needs. 
 
At AWS, the Global Deal Strategy and Programs (GDSP) team drives cloud adoption and business growth through innovative pricing strategies. The organization comprises two specialized teams: Strategic Customer Engagements, which guide ** transformative deals with industry leaders, and Private Pricing Programs &amp; Experiences, which scales and optimizes pricing solutions across our diverse customer base. Within GDSP, you will develop deep expertise in cloud economics, hone your strategic thinking, and directly impact AWS's market leadership while working with latest technologies and global clients. 
 
The AWS Global Deal Strategy and Programs (GDSP) organization is responsible for the Private Pricing Program. The Private Pricing Analytics and Insights (PPA&amp;I) team owns building scalable analytical solutions that enable the GDSP organization with actionable insights to make data-driven decisions. This role will focus on Data Engineering, and Analytics related to the Private Pricing Program, requiring deep technical skills, strong business acumen and a deep analytical background to provide actionable data-driven insights and decision support. 
 
As a Data Engineer on this team, you will drive efficiency in data handling processes, setup product analytics, drive advanced analysis and build new metrics which are key inputs to improve the health, scale and growth of the Private Pricing Program. You will work collaboratively with the business leaders operations, and engineering teams on many non-standard and unique business problems and support business initiatives by collecting required and related data from external/internal sources. 
 
The ideal candidate should have strong communication skills and ability to prioritize effectively to ensure timelines are met. You will own projects from engaging with customers to production and delivery of a suite of tools used by the organization to make key business decisions. You should be a self-starter, comfortable with ambiguity, able to think big and be creative (while still paying careful attention to detail). You think in terms of architecture, not just code. You proactively work to improve the consistency and integration between your team&rsquo;s BI solutions and any related systems or artifacts. 
 
Key job responsibilities 
Design, develop, and maintain scalable data solutions for metrics, reports, analyses, and dashboards that support analytical and business needs 
 
Collaborate with technology teams to extract, transform, and load data from diverse sources using AWS services and internal tools 
Build and deliver high-quality datasets that support data science initiatives and customer reporting requirements 
 
Automate and optimize reporting processes to enable self-service analytics for stakeholders 
Translate business problem statements into technical analysis requirements 
 
Apply analytical and statistical rigor to answer business questions and drive data-driven decisions 
Develop measurement frameworks that quantify customer experience and drive business outcomes 
 
Create queries and visualizations for ad-hoc requests, projects, and ongoing reporting needs 
Write efficient, optimized queries with deep knowledge of data structures and query optimization techniques 
 
Adopt best practices in reporting and analysis including data integrity, design, validation, and documentation 
 
Troubleshoot operational data quality issues and audit existing data pipelines and queries 
 
Recommend improvements to back-end data sources for increased accuracy and simplicity<h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>3+ years of data engineering experience</li><li>1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience</li><li>1+ years of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies experience</li><li>1+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience</li><li>1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience</li><li>1+ years of developing and operating large-scale data structures for business intelligence analytics using Oracle experience</li><li>Experience with data modeling, warehousing and building ETL pipelines</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions</li><li>Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, NY, New York - 145,300.00 - 196,600.00 USD annually 
USA, TX, Austin - 132,100.00 - 178,800.00 USD annually 
USA, WA, Seattle - 132,100.00 - 178,800.00 USD annually</div>

Data Engineer, AWS GDSP A&I

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