data scientist, aws professional services Jobs in New York

data scientist, aws professional services

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director, lead data & analytics engineer Jobs in New York

director, lead data & analytics engineer

gcp data engineer

senior engineer - data analytics Jobs in New York

senior engineer - data analytics

data engineer

American Express

<div>At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.
Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.
How will you make an impact in this role?<ul><li>
Hands-on experience with IBM&rsquo;s ApptioOne and TBM Studio</li><li>
Hands-on experience designing pipelines to orchestra data ingestion and integration from external systems of record (SORs) into IBM ApptioOne</li><li>
A deep understanding of ApptioOne modules, namely Cost Transparency, Total Cost of Ownership and Bill of IT</li><li>
Expert-level knowledge and experience in RDBMS (SQL Server or Oracle or PostGres), NOSQL, Json, Node Js, Python Programming, Astronomer Airflow, HTML and XML</li><li>
Acumen towards building reporting dashboards and collections for varying audience personas such as executives, finance managers, product leaders, portfolio managers, and application owners/managers</li><li>
Keen ability and interest to build financial strategies, frameworks, and tools from the ground up</li><li>
Ability to demonstrate increased self-reliance to achieve team goals</li><li>
Demonstrable software development experience in a professional environment and/or comparable experience such as:</li><li>
Familiarity with Agile or DevOps</li><li>
Experience with API design, either as a provider or consumer</li><li>
Experience with object-oriented design and coding with variety of languages</li><li>
Experience with Power BI or Tableau is a plus, but not required</li><li>
Hands-on expertise with distributed (multi-tiered) systems and relational database design, development, troubleshooting and automated testing</li><li>
Excellent communication skills</li><li>
Bachelor&rsquo;s degree in computer science, Information Technology, Data Science or related experience is preferred</li></ul> 


Salary Range: $89,250.00 to $150,250.00 annually + bonus + benefits
The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we&rsquo;ll consider your location, experience, and other job-related factors.
We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:<ul><li>
Competitive base salaries</li><li>
Bonus incentives</li><li>
6% Company Match on retirement savings plan</li><li>
Free financial coaching and financial well-being support</li><li>
Comprehensive medical, dental, vision, life insurance, and disability benefits</li><li>
Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need</li><li>
20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy</li><li>
Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)</li><li>
Free and confidential counseling support through our Healthy Minds program</li><li>
Career development and training opportunities</li></ul>
For a full list of Team Amex benefits, visit our Colleague Benefits Site.
American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including, but not limited to, the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles&rsquo; Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.
We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.
US Job Seekers - Click to view the &ldquo;Know Your Rights&rdquo; poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: https://www.eeoc.gov/poster
Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.</div>

Data Engineer

APLOMB Technologies

Job DescriptionDesign develop and implement scalable cloud infrastructure solutions using Google Cloud Platform GCP Build tools Collaborate with cross functional teams to optimize data pipelines and deployment workflows Ensure high availability security and performance of cloud based data services Leverage GCP Build capabilities to automate build and deployment processes Monitor and troubleshoot cloud infrastructure to maintain operational excellence Stay updated with the latest trends and best practices in GCP and DevOps methodologiesRoles and ResponsibilitiesLead the endtoend build and deployment of data solutions on GCP Develop and maintain CICD pipelines using GCP Build and related tools Work closely with data engineers and developers to integrate build processes Implement infrastructure as code IaC for repeatable and reliable deployments Collaborate with security teams to enforce compliance and governance policies Provide technical guidance and mentorship to junior team members Participate in code reviews design discussions and sprint planning sessionsJob Type: ContractPay: $40.00 - $50.00 per hourWork Location: In person

GCP Data Engineer

HARAMAIN SYSTEMS INC.

<div><h1 class="jobSectionHeader">Job Description: Senior Azure Data Engineer: NJ/NY Metro area preferred</h1><h2 class="jobSectionHeader">
Location</h2>
New York, NY remote<h2 class="jobSectionHeader">
Employment Type</h2>
Full-Time<h2 class="jobSectionHeader">
About the Role</h2>
We are seeking a highly skilled Azure Data Engineer to join our team and play a key role in designing, building, and maintaining scalable data solutions on Microsoft Azure. The ideal candidate will have strong expertise in cloud-based data engineering, ETL pipelines, and data integration, with a focus on enabling advanced analytics and business intelligence.<h2 class="jobSectionHeader"> 
Key Responsibilities</h2><ul><li>
Design, develop, and maintain data pipelines and ETL processes using Azure Data Factory, Databricks, and Synapse Analytics.</li><li>
Build and optimize data lakes, data warehouses, and data models to support reporting and analytics.</li><li>
Collaborate with business stakeholders, data scientists, and analysts to understand requirements and deliver high-quality solutions.</li><li>
Implement data governance, security, and compliance best practices across Azure environments.</li><li>
Monitor, troubleshoot, and optimize data workflows for performance and reliability.</li><li>
Work with structured and unstructured data sources, integrating data from multiple systems.</li><li>
Support migration of on-premise data systems to Azure cloud.</li></ul><h2 class="jobSectionHeader"> 
Required Skills &amp; Qualifications</h2><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Systems, or related field.</li><li>
5+ years of experience in data engineering with at least 2+ years on Azure cloud.</li><li>
Strong hands-on experience with:<ul><li>
Azure Data Factory</li><li>
Azure Databricks / Spark</li><li>
Azure Synapse Analytics</li><li>
Azure SQL Database / Cosmos DB</li></ul></li><li>
Proficiency in SQL, Python, and PySpark.</li><li>
Experience with data modeling, data warehousing, and ETL design.</li><li>
Knowledge of Azure DevOps and CI/CD pipelines for data solutions.</li><li>
Familiarity with Power BI or other visualization tools is a plus.</li><li>
Excellent problem-solving, communication, and collaboration skills.</li></ul> 
This is a remote position.</div>

Sr Azure Data Engineer: FTE: NJ/NY Metro area preferred

Scale AI

<div></div><div><div><div>Equal opportunity employer</div></div><div></div><div><div>
Remote-friendly culture</div></div><div></div><div><div>
Competitive benefits package</div></div></div>
 <div>At Scale AI, we are accelerating the development of artificial intelligence by providing the essential, data-centric infrastructure for building and deploying advanced AI systems. We are looking for a Forward Deployed Data Scientist/Engineer to architect and build the sophisticated data solutions that solve our customers' most complex challenges. This role is for a first-principles thinker who thrives on ambiguity, enjoys solving novel customer problems, and has a passion for applying rigorous data science to deliver measurable business impact.
<div>
You'll work on a mix of cutting-edge, customer-facing AI implementations. Our team powers projects like TIME&rsquo;s Person of the Year AI experience, where our technology helped shape one of the most iconic features in media. Leveraging Scale's powerful data infrastructure, you will build bespoke evaluation frameworks, deploy custom statistical models, and architect data pipelines. Your work will play a crucial role in shaping how AI delivers measurable value in real-world applications for industry-leading companies.</div>
<div>
You'll be exposed to the cutting edge of the Generative AI industry while directly interfacing with leading enterprise organizations, including top industry leaders in telecommunications, e-commerce, finance, education, publication, insurance, and health.</div>
<h3 class="jobSectionHeader">
Responsibilities:</h3>
<ul><li>Drive Impact: Directly contribute to the advancement of AI by delivering critical data science infrastructure and insights for leading AI innovators and enterprise customers.</li>
<li>Customer Collaboration: Interact daily with our technical customers, deeply understanding their unique challenges and translating ambiguous business problems into concrete data-driven solutions and robust statistical models.</li>
<li>End-to-End Data Solution Development: Design, build, and deploy solutions across the entire data lifecycle&mdash;from data ingestion and pipeline construction to statistical modeling, experimentation, model evaluation, and insight generation.</li>
<li>Rapid Experimentation: Design and deliver high-quality experiments (e.g., A/B tests, marketplace modeling), iterating quickly to validate hypotheses, meet customer needs, and drive innovation.</li>
<li>Strategic Influence: Act as the voice of the customer to our internal Product, Engineering, and Data Science teams, channeling real-world insights to influence our product roadmap and technical strategy.</li>
<li>Diverse Projects: Engage in a dynamic mix of designing and deploying cutting-edge data solutions, from building LLM evaluation frameworks to adapting statistical models for novel economic and business problems.</li>
<li>Leadership Growth: This role offers a unique opportunity to lead critical customer-facing projects, shape our data culture, and accelerate your career growth. You'll be positioned to become a future leader in a company defining the next era of technology.</li>
</ul><h3 class="jobSectionHeader">Requirements:</h3>
<ul><li>8+ years of relevant industry experience in a highly analytical role (e.g., Data Science, ML Engineering, Quantitative Analysis).</li>
<li>Proven track record of shipping high-quality data products, models, or features at scale.</li>
<li>Strong problem-solving skills and the ability to turn abstract business and product ideas into concrete data science and engineering solutions.</li>
<li>Expert-level coding abilities in Python for data science (e.g., Pandas, NumPy, Scikit-learn) and mastery of complex SQL across large datasets.</li>
<li>Ability to effectively communicate complex technical concepts to both technical and non-technical audiences.</li>
<li>Desire to thrive in a fast-paced, dynamic environment and adapt quickly to the ever-changing world of Generative AI.</li>
<li>Excited to join a dynamic, hybrid team in either San Francisco or New York City.</li>
</ul><h3 class="jobSectionHeader">Preferred Qualifications:</h3>
<ul><li>Experience in a client-facing or consultative role (e.g., Forward Deployed Engineer, Solutions Architect, Data Science Consultant).</li>
<li>Deep expertise in designing metrics, diagnosing data inconsistencies, and building evaluation frameworks for ML/LLM systems.</li>
<li>Experience with large-scale data processing frameworks and distributed systems (e.g., Spark, Ray).</li>
<li>Familiarity with marketplace experimentation, causal inference, and advanced statistical modeling.</li>
<li>Experience with cloud-based infrastructure and data warehousing (e.g., AWS, GCP, Snowflake, BigQuery).</li>
</ul><div><div><div><div>
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You&rsquo;ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.</div></div><div>
Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:</div><div>
$228,800&mdash;$286,000 USD</div></div></div><div><div>
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.</div>
<div>
About Us:</div>
<div>
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.</div>
<div>
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.</div>
<div>
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.</div>
<div>
We comply with the United States Department of Labor's Pay Transparency provision.</div>
<div>
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants&rsquo; needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.</div></div></div>

Staff Forward Deployed Data Scientist/Engineer

Morgan Stanley

<div>Morgan Stanley Services Group, Inc. seeks a Director, Lead Data &amp; Analytics Engineer in New York, New York
Maintain and support services and capabilities of the firm&rsquo;s internal search infrastructure. Onboard and index new data sources, clean existing index, improve relevancy algorithms, and apply AIML models to search application. Create data pipelines and ETL processes to facilitate onboarding client data into firm databases. Upgrade software system capabilities to best serve the business needs of end users. Incorporate industry best practices to improve performance and productivity of the firm&rsquo;s internal search infrastructure. Develop a monitoring mechanism for search infrastructure. Streamline and improve product delivery metrics. Troubleshoot technical issues, perform root cause analysis, and take appropriate action to remediate issues related to discovery, relevancy and data mining.
Salary :
Expected base pay rates for the role will be between $160,000 and $165,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.
Requirements:
Requires a Master's degree in Computer Science, Computer Engineering, or a related field plus three (3) years of experience in the position offered or three (3) years of experience as an AI/ML Engineer, Data Scientist, or related occupation. Two (2) years of experience with: Java.
 
 
One (1) year of experience with: vended or open-source search engines; Javascript; and Python.
 
 
Any amount of experience with: building and training machine learning models; deploying machine learning models in production; AI chatbot development; Semantic search; Lucidworks Fusion connector configurations; indexing strategies for structured and unstructured data; faceted search; typeahead; relevance boosting; DevOPs; KPI&rsquo;s; Agile practices; Enterprise Git; GitHub; Jenkins; continuous integration tools, including Artifactory ro, SonarQube, selenium, and Jmeter; load testing; troubleshooting and production support; Docker; Kubernetes; and Azure.
Qualified Applicants: To apply, visit us at https://morganstanley.eightfold.ai/careers?source=mscom and enter JR025360 in the search field. No calls please. EOE
WHAT YOU CAN EXPECT FROM MORGAN STANLEY:
We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren&rsquo;t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you&rsquo;ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There&rsquo;s also ample opportunity to move about the business for those who show passion and grit in their work.
To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-officesinto your browser.
Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees.
It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.
Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).</div>

Director, Lead Data & Analytics Engineer

GEICO

<div>At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.
Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers&rsquo; expectations while making a real impact for our company through our shared purpose.
When you join our company, we want you to feel valued, supported and proud to work here. That&rsquo;s why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers.
Position Summary
GEICO is seeking an experienced Senior Engineer with a passion for building high-performance, low maintenance, zero-downtime data solutions. You will help drive our insurance business transformation as we transition from a traditional IT model to a tech organization with engineering excellence as its mission. Within the Data Analytics and Vertical Engineering team, you will develop state-of-the-art data pipelines, models, and reports, transforming vast datasets that reach up to multiple terabytes in size, while championing innovation, best practices, and continuous learning.
Position Description
As a Senior Engineer, you will work to provide an excellent user experience for our internal stakeholders across the organization and maintain the highest standards of data and analytics engineering. Our team thrives and succeeds in delivering high quality data solutions in a hyper-growth environment where priorities shift quickly. The ideal candidate has broad and deep technical knowledge, typically ranging from data processing and pipeline development to dimensional data modeling and reporting.
Position Responsibilities
As a Senior Engineer, you will:<ul><li>
Scope, design, and build scalable, resilient distributed systems</li><li>
Utilize programming languages like Python, SQL, and NoSQL databases, along with Apache Spark for data processing, dbt for data transformation, container orchestration services such as Docker and Kubernetes, and various Azure tools and services</li><li>
Utilize your passion for data exploration to produce high quality reports with tools such as Power BI and Apache Superset to empower outstanding business decisions</li><li>
Use your technical expertise to shape product definitions and drive towards optimal solutions</li><li>
Lead in design sessions and code reviews with peers to elevate the quality of engineering across the organization</li><li>
Engage in cross-functional collaboration throughout the entire development lifecycle</li><li>
Manage data pipelines, ensuring consistent data availability
</li><li>Mentor other engineers
</li><li>Consistently share best practices and improve processes within and across teams</li></ul> 
Qualifications<ul><li>
Advanced programming experience and big data experience within Python, SQL, dbt, Spark, Kafka, Git, Containerization (Docker and Kubernetes)</li><li>
Advanced experience with Data Warehouses (Snowflake preferred), dimensional modeling, and analytics</li><li>
Demonstrable knowledge of business intelligence tools (Power BI and Apache Superset preferred)
</li><li>Experience with Apache Iceberg for managing large-scale tabular data in data lakes is a plus</li><li>
Experience with orchestration tools such as Apache Airflow or similar technologies to automate and manage complex data pipelines
</li><li>Experience architecting and designing new ETL and BI systems
</li><li>Experience with supporting existing ETL and BI systems</li><li>
Experience with CI/CD to ensure smooth and continuous integration and deployment of data solutions
</li><li>Ability to balance the competing needs of multiple priorities and excel in a dynamic environment
</li><li>Advanced understanding of DevOps concepts including Azure DevOps framework and tools</li><li>
Knowledge of developer tooling across the data development life cycle (task management, source code, building, deployment, operations, real-time communication)</li><li>
Understanding of microservices oriented architecture and REST APIs and GraphQL
</li><li>Advanced understanding of data quality monitoring and automated testing</li><li>
Strong problem-solving ability</li><li>
Experience with Marketing, Product, Sales, Service, Customer, Associate, Billing, Agency, Claims, or Telematics data is preferred</li></ul> 
 Experience<ul><li>
4+ years of professional data and/or analytics engineering, programming languages and developing with big data technologies</li><li>
3+ years of experience with data architecture and design</li><li>
3+ years of experience with AWS, GCP, Azure, or another cloud service</li><li>
3+ years of experience with ETL and/or BI tools
</li><li>2+ years of experience in Big-data tools like Spark and Databricks</li></ul>
Education<ul><li>
Bachelor&rsquo;s degree in Computer Science, Information Systems, Data Science, Statistics, Data Analytics or equivalent education or work experience</li></ul> 
Annual Salary
$100,000.00 - $230,000.00
The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate&rsquo;s work experience, education and training, the work location as well as market and business considerations. 

GEICO will consider sponsoring a new qualified applicant for employment authorization for this position. 
The GEICO Pledge:
Great Company: At GEICO, we help our customers through life&rsquo;s twists and turns. Our mission is to protect people when they need it most and we&rsquo;re constantly evolving to stay ahead of their needs.
We&rsquo;re an iconic brand that thrives on innovation, exceeding our customers&rsquo; expectations and enabling our collective success. From day one, you&rsquo;ll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people&rsquo;s lives.
Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career &ndash; and your potential &ndash; in mind. You&rsquo;ll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels.
Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose.
As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers.
Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future.<ul><li>
Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family&rsquo;s overall well-being.</li><li>
Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance.</li><li>
Access to additional benefits like mental healthcare as well as fertility and adoption assistance.</li><li>
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.</li></ul>
The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.
GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.</div>

Senior Engineer - Data Analytics

AMIGO

<div><h1 class="jobSectionHeader">About Amigo</h1>
Amigo builds AI agents for healthcare&mdash;systems that handle patient conversations, take clinical actions, and escalate to humans when needed.
Our agents operate autonomously within bounded clinical domains. Clear inclusions, exclusions, and handoff protocols. The scope of autonomous operation expands over time as we validate performance across patient populations.
We own the data foundation end-to-end: patient interactions, agent reasoning traces, outcome data, and synthetic data with known fidelity. This enables population-level analytics and continuous improvement.
Series A from leading investors. Clinical validation and evidence generation in partnership with leading academic medical institutions.<h1 class="jobSectionHeader">
About this role</h1>
As a Senior Software Engineer (Data) at Amigo, you'll build the data infrastructure that powers agent improvement, clinical analytics, and research collaboration. You'll own streaming and batch pipelines on Databricks that process agent conversations, clinical events, and patient outcomes at scale.
Our data platform is a strategic differentiator. We own the entire data foundation&mdash;from raw interaction data to agent reasoning traces to clinical outcomes. You'll build pipelines that enable population analysis, data mining, and the Research Platform backend.<h1 class="jobSectionHeader">
What you'll do</h1><ul><li>
Build and maintain streaming and batch pipelines on Databricks (Delta Lake, Spark)</li><li>
Design CDC pipelines that sync operational databases to Delta Lake for analytics</li><li>
Implement data mining pipelines for persona discovery, scenario extraction, and edge case detection</li><li>
Build the data backend for Research Platform, including natural language to SQL capabilities</li><li>
Create data quality monitoring, staleness detection, and automated alerting</li><li>
Build pipelines for voice and SMS analytics (call quality, engagement metrics)</li><li>
Support multi-region data deployment and compliance requirements</li><li>
Collaborate with agent engineers and data scientists to surface insights that improve agent performance</li></ul><h1 class="jobSectionHeader">
What we're looking for</h1><ul><li>
4+ years of production data engineering experience</li><li>
Strong experience with Databricks, Spark, and Delta Lake</li><li>
Proficiency in Python and SQL for pipeline development</li><li>
Experience building streaming pipelines and CDC (change data capture) systems</li><li>
Understanding of data modeling, medallion architecture (bronze/silver/gold), and query optimization</li><li>
Experience with data quality frameworks and monitoring</li><li>
Track record of building reliable, production-grade data infrastructure</li><li>
Both execution-oriented and defensive-minded: you ship pipelines while anticipating failure modes</li><li>
Strong debugging skills for distributed data systems</li><li>
Clear communication with data scientists, backend engineers, and product teams</li></ul><h1 class="jobSectionHeader">
Nice to have</h1><ul><li>
Experience with healthcare data or HIPAA compliance requirements</li><li>
Background with ML pipelines (feature engineering, model training infrastructure)</li><li>
Experience building natural language query interfaces or LLM-powered data tools</li><li>
Familiarity with vector search and embedding pipelines</li><li>
Experience with Delta Sharing or data collaboration protocols</li></ul><h1 class="jobSectionHeader">
Benefits</h1><h2 class="jobSectionHeader">
Health &amp; Wellness</h2><ul><li>
Comprehensive health, dental, and vision insurance</li><li>
Mental health support and wellness coaching</li><li>
Flexible wellness stipend for fitness, therapy, or personal growth</li><li>
Daily catered lunch and dinner</li></ul><h2 class="jobSectionHeader">
Growth &amp; Development</h2><ul><li>
Annual learning budget for courses, books, or conferences</li><li>
Conference attendance budget for professional development</li><li>
Development setup of your choice</li><li>
Academic collaboration opportunities</li></ul>
Compensation Range: $180K - $220K</div>

Senior Software Engineer (Data)

Explore 537+ Data engineer in New York this December. Find roles across top companies and apply now to boost your career.