senior data engineer (python, spark, aws)

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senior data engineer (python, spark, aws) Jobs in New York

software engineer 1

senior database engineer

Hudson Manpower

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

Senior Data Engineer

The Cypress Group

<div>
 
 Our client is a growing Fintech software company Headquarted in New York, NY. They have several hundred employees and are in growth mode.
 
 
 
 
 
 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.
 
 
 
 
 
 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.
 
 
 
 
 
 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.
 
</div>

Information Technology Senior Management Forum

<div><div>Posted Date
3/05/2026
</div><div>Description
<div>Senior Data Engineer (AWS, Spark, Python, SQL)
Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Data Engineer, you&rsquo;ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
What You&rsquo;ll Do:<ul><li>
Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies</li><li>
Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems</li><li>
Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake</li><li>
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal &amp; external technology communities, and mentoring other members of the engineering community</li><li>
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment</li><li>
Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance</li></ul>
Basic Qualifications:<ul><li>
Bachelor&rsquo;s Degree</li><li>
At least 3 years of experience in application development (Internship experience does not apply)</li><li>
At least 1 year of experience in big data technologies</li></ul>
Preferred Qualifications:<ul><li>
5+ years of experience in application development including Python, SQL, Scala, or Java</li><li>
2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)</li><li>
3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)</li><li>
2+ year experience working on real-time data and streaming applications</li><li>
2+ years of experience with NoSQL implementation (Mongo, Cassandra)</li><li>
2+ years of data warehousing experience (Redshift or Snowflake)</li><li>
3+ years of experience with UNIX/Linux including basic commands and shell scripting</li><li>
2+ years of experience with Agile engineering practices</li></ul>
At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
New York, NY: $176,500 - $201,400 for Senior Data Engineer 
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Senior Data Engineer (AWS, Spark, Python, SQL)
Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Data Engineer, you&rsquo;ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
What You&rsquo;ll Do:<ul><li>
Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies</li><li>
Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems</li><li>
Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake</li><li>
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal &amp; external technology communities, and mentoring other members of the engineering community</li><li>
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment</li><li>
Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance</li></ul>
Basic Qualifications:<ul><li>
Bachelor&rsquo;s Degree</li><li>
At least 3 years of experience in application development (Internship experience does not apply)</li><li>
At least 1 year of experience in big data technologies</li></ul>
Preferred Qualifications:<ul><li>
5+ years of experience in application development including Python, SQL, Scala, or Java</li><li>
2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)</li><li>
3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)</li><li>
2+ year experience working on real-time data and streaming applications</li><li>
2+ years of experience with NoSQL implementation (Mongo, Cassandra)</li><li>
2+ years of data warehousing experience (Redshift or Snowflake)</li><li>
3+ years of experience with UNIX/Linux including basic commands and shell scripting</li><li>
2+ years of experience with Agile engineering practices</li></ul>
At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
New York, NY: $176,500 - $201,400 for Senior Data Engineer 
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</div>
</div><div>Salary
176,500.00 - 201,400.00 Annual
</div><div></div><div><div>Type<div>
Full-time</div></div></div></div>

Senior Data Engineer (AWS, Spark, Python, SQL)

Genius Sports

By bringing together next-gen technology and the finest live data available, Genius Sports is enabling a new era of sports for fans worldwide, delivering experiences that are more immersive, interactive and personalized than ever before.
 
The Role - Senior Software Engineer, Data Platform
 
We’re looking for a Senior Data Platform Engineer to help design and scale the foundational systems that power our data ecosystem. In this role, you’ll lead the architecture and modernization of our data infrastructure, enabling teams across the organization to discover, access, and act on data quickly, reliably, and securely. You’ll drive large-scale platform initiatives from concept to production, make thoughtful architectural tradeoffs, and partner closely with product and cross-functional stakeholders to shape engineering direction.
 
This is a highly technical leadership role ideal for someone with deep experience in distributed systems, modern data lakehouse and streaming architectures, and large-scale data operations—who is also passionate about mentorship, technical excellence, and building systems that have meaningful business impact.
 
What You'll Do
 Design, build, and maintain the Data Platform's foundational systems and features that enable internal teams to discover, access, and act on data quickly, reliably, and securely
 Drive the modernization of our data infrastructure, navigating technical complexity and making sound architectural tradeoffs to strengthen our foundation and increase organizational productivity
 Serve as a technical leader for large-scale Data Platform initiatives, driving architectural decisions and shaping engineering direction in close partnership with product and cross-functional stakeholders
 Provide technical mentorship to junior and mid-level engineers, upskilling the team and preparing them to take on greater responsibilities
 Stay up-to-date with emerging technologies and industry trends in data systems and platform development
 Qualifications
 A proven track record, with 5+ years of hands-on experience in architecting distributed system architecture, guiding projects from initial ideation to successful production deployment
 A product-minded approach—you understand how our software impacts user experience and business outcomes
 Demonstrated mentorship and leadership experience, growing engineers and fostering a culture of technical excellence
 Excellent collaboration and communication skills, with the ability to influence across teams
 Broad expertise across the data systems engineering landscape, with deep experience in one or more of the following areas:
 Hands-on experience designing and operating modern data lakehouse and warehouse systems (Iceberg, Trino, BigQuery, StarRocks, Citus)
 Expertise in distributed data processing and streaming architectures, including Spark, Pulsar, Kafka, and Flink, with a strong understanding of batch vs. real-time trade-offs
 Experience working with large-scale datasets, including performance tuning, cost optimization, and observability in production environments
 Solid understanding of data modeling, schema evolution, and data quality practices in distributed data platforms
 Preferred Qualifications
 Experience with Rust
 Prior experience as a tech lead driving the adoption of foundational organizational systems and achieving buy-in from stakeholders
 History of open source contribution, particularly in the data systems ecosystem
 
The base salary range for this role is $190,000 - $240,000. There are a number of factors which affect what the specific pay offer would be for this role, including location, seniority, and relevant educational and working experience. This is base salary only – all full-time roles will also be eligible to take part in Genius benefits and some roles may be eligible to take part in a variable compensation plan. For more details on the compensation and benefits package, please get in touch with our Talent team.
 
We enjoy an ‘office-first’ culture and maximize opportunities to collaborate, connect and learn together. Our hybrid working models differ depending on your role and location. Occasional travel may be required.
 
As well as a competitive salary and range of benefits, we’re committed to supporting employee wellbeing and helping you grow your skills, experience and career.
 
One team, being brave, driving change
 
We strive to create an inclusive working environment, where everyone feels a sense of belonging and the ability to make a difference.
 
Let us know when you apply if you need any assistance during the recruiting process due to a disability.

Senior Software Engineer, Data Platform

CVS Health

<div>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.
Position Summary
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.
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.
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.
In this role, you will:<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>
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.
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.
Required Qualifications<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>
Preferred Qualifications<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>
Education<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>
Anticipated Weekly Hours
40
Time Type
Full time
Pay Range
The typical pay range for this role is:
$83,430.00 - $222,480.00
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. 
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.
Great benefits for great people
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:<ul><li>
Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.</li><li>
No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.</li><li>
Benefit solutions that address the different needs and preferences of our colleagues 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.</li></ul>
For more information, visit https://jobs.cvshealth.com/us/en/benefits
We anticipate the application window for this opening will close on: 03/30/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</div>

MongoDB

<div>We are looking for a highly skilled Cloud Security Engineer that will help us design, implement, and manage security solutions at scale. In this role, you will collaborate with cross-functional teams to enhance our overall cloud security posture and implement pragmatic solutions to hard security problems.

We are looking to speak to candidates who are based on the East Coast of the US for our hybrid working model.
<h3 class="jobSectionHeader">
Responsibilities</h3>
<ul><li>Secure cloud environments across AWS, Azure, and GCP with a focus on IAM, preventative controls, and resource permissions</li>
<li>Automate the deployment and maintenance of security solutions and tooling using Terraform, CloudFormation, and Python</li>
<li>Drive our enterprise cloud strategy in order to empower the business while protecting critical assets and data with appropriate security measures</li>
<li>Design and implement security solutions to address gaps in the organization's cloud security posture</li>
<li>Conduct security assessments on cloud services, identifying misconfigurations, excessive permissions, and potential risks</li>
<li>Partner with detection engineering and incident response teams to create new alerting and investigation capabilities</li>
<li>Provide subject matter expertise to support cross-functional teams in the deployment and management of their cloud services and solutions</li>
</ul><h3 class="jobSectionHeader">Requirements</h3>
<ul><li>At least 5 years of Cloud Security experience</li>
<li>Subject matter expertise in securing infrastructure at scale in an enterprise environment in AWS and preferably one additional cloud provider (Azure or GCP)</li>
<li>Strong understanding of IAM and data protection in cloud environments</li>
<li>Experience using infrastructure-as-code, such as CloudFormation and Terraform, to deploy and manage solutions in cloud environments</li>
<li>Experience with using scripting languages such as Python and/or orchestration tools such as Tines to automate and integrate different components and/or services</li>
<li>The ability to perform security reviews of architectures and products, identify gaps and weaknesses present, and recommend controls to address them</li>
<li>Experience helping to craft and deliver policies to drive the organization's security posture forward</li>
<li>The ability to convey complex technical issues to a variety of audiences of different levels of technical expertise and experience</li>
<li>Enthusiasm about partnering with stakeholders across the business to deliver impactful solutions for the wider company</li>
<li>Comfortable working in a team and providing constructive, actionable feedback as needed</li>
</ul><h3 class="jobSectionHeader">Nice to Have</h3>
<ul><li>Kubernetes and container security experience</li>
<li>Experience with security incident response in cloud environments</li>
<li>Experience with CSPM tooling</li>
<li>Cloud Provider Certifications, such as AWS Certified Solutions Architect, AWS Certified Security Specialty, Google Associate Cloud Engineer, Google Professional Cloud Security Engineer, Microsoft Azure Administrator Associate, and/or Microsoft Azure Security Engineer Associate</li>
<li>Infrastructure Automation Certifications from Hashicorp</li>
</ul><h3 class="jobSectionHeader">Special Requirement</h3>
<ul><li>Be a US Citizen</li>
</ul><h3 class="jobSectionHeader">About MongoDB</h3>

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB's unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we're powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It's what makes us MongoDB.

To drive the personal growth and business impact of our employees, we're committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees' wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it's like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 1273371610</div>

Senior Cloud Security Engineer

Sage Publication

<div>Sage is on a mission to improve care and quality of life for older adults, starting with those residing in senior living facilities. Falls are the leading cause of injury-related death among adults over 65. And yet, fall prevention and emergency response systems for older adults are archaic and ineffective. At Sage we've built a more modern way of understanding when older adults need help, including methods for residents to alert caregivers when in need of help, and corresponding software for caregivers to triage response. Our company mission is to create a product that our client counterparts love, and this role is a key part of that objective.

Sage is a small, tight team of ambitious, multi-disciplinary entrepreneurs. We are a software-enabled, mission-driven company, and are focused only on the problems that are central to achieving that mission. At Sage, we work hard and fast but also know that to build a truly important company, we need to treat our work as a marathon, and not a sprint. The journey matters.

About this Role

This role is a senior backend engineer on the EHR Integrations team who will drive forward the development of the core tasking workflows. We are starting to make large investments on EHR integrations to better capture care and improve day to day work flows for our caregivers and communities.

You'll be responsible for understanding and implementing complex data flows between EHRs (Electronic Health Record) and Sage, and tackling difficult data problems. You are excited about making an impact on caregivers, ultimately improving quality of care given to residents, and setting up the Sage ecosystem to have high quality data around care provided. You work cross-functionally to gather requirements, ask the right questions, and drive alignment on what to build. 
 
Responsibilities

These are examples of projects that you'd work on:
<ul>
<li>Partner with product and data teams to build and deepen EHR integrations</li>
<li>Develop data-intensive applications, potentially leveraging genAI, for both internal and external users</li>
<li>Shepherd integrations between core Sage applications and data platform in partnership with other engineering teams</li>
<li>Implement complex authentication and authorization flows, including customer SSO/identity provider integration</li>
<li>Build, manage, and optimize compute-intensive data pipelines</li>
</ul>
Minimum Qualifications:
<ul>
<li>7+ years of software engineering experience, with significant depth in backend and/or distributed ETL systems</li>
<li>Experience designing, building, and maintaining REST APIs</li>
<li>Understanding of authentication and authorization concepts, including OAuth, and machine to machine access</li>
<li>General experience/knowledge of backend service frameworks, such as Spring, Dropwizard, Django, etc</li>
<li>Experience with developing and deploying services in a containerized environment, ex: Docker or Kubernetes</li>
<li>Experience with general database operations, including designing and writing database tables and queries, general knowledge of indices, and experience optimizing queries</li>
<li>Experience with distributed systems, including knowledge of (but not limited to) load balancers, proxies, APIs, rate limiting, scaling</li>
<li>Familiarity with ETL methodologies, real-time and batch processing architectures, and the engineering best practices that underpin reliable, scalable data integration solutions.</li>
</ul>
Benefits and Pay

Our headquarters are located in New York City's Union Square. We believe in cross team collaboration. We think good ideas can come from anyone, and we've designed our processes to encourage participation from all. While we take our mission seriously, we don't take ourselves too seriously. We like to host offsites, outings, and team meals where we can connect as people, not just as colleagues. We offer office lunch and a fully stocked snack bar. While we are an in office culture, we allow up to 2 remote days per week.

Our benefits package for employees includes competitive base compensation along with stock options. The expected annual salary range for this role is $175,000-210,000 USD, depending on your level of expertise, your experience, and your performance in the interview process. We also provide fully-paid health and dental insurance coverage for all of our employees, along with other health benefits including vision insurance, membership to premium primary and urgent care, and online medical health providers. We also have a take as you need time off policy, in addition to 7 paid holidays and a company wide winter break during the holidays.

EEO Statement

Sage is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.

This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. Sage makes hiring decisions based solely on qualifications, merit, and business needs at the time.</div>

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