data analyst

data engineer

software engineer

data engineer ii

data scientist

cloud data engineer

Gambit Technologies

<div>
 <p>
  <strong>
   Senior Data Engineer | NYC Hybrid (4 Days per-week Onsite)
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  High-impact role. Real ownership. Build something that actually matters.
 </p>
 <p>
  We&rsquo;re partnering with a large, mission-driven organization tackling complex challenges across public impact initiatives. They&rsquo;re investing heavily in modernizing their data platform and are looking for a senior, hands-on engineer to lead the charge.
 </p>
 <p>
  This is not a maintenance role. You&rsquo;ll help define the future state.
 </p>
 <p>
  <br/>
 </p>
 <p>
  What You&rsquo;ll Be Doing
 </p>
 <p>
  You&rsquo;ll sit at the intersection of engineering and strategy, helping transition a legacy BI environment into a modern, cloud-native data platform.
 </p>
 <ul>
  <li>
   Design and build a cloud-based data warehouse or lakehouse from the ground up
  </li>
  <li>
   Lead the migration from an on-prem SQL Server BI stack to scalable cloud architecture
  </li>
  <li>
   Build and optimize data pipelines that actually perform at scale
  </li>
  <li>
   Own data modeling, testing, observability, and CI/CD best practices
  </li>
  <li>
   Reduce technical debt and stabilize production systems during the transition
  </li>
  <li>
   Partner directly with business stakeholders to deliver meaningful insights
  </li>
  <li>
   Help define standards and mentor others on the team
  </li>
 </ul>
 <p>
  Current Environment
 </p>
 <ul>
  <li>
   SQL Server (data warehouse)
  </li>
  <li>
   Tableau (primary BI tool)
  </li>
  <li>
   Evolving toward modern cloud data platforms
  </li>
 </ul>
 <p>
  What You Bring
 </p>
 <ul>
  <li>
   Strong hands-on Tableau experience (non-negotiable)
  </li>
  <li>
   Deep SQL skills, including large-scale query optimization
  </li>
  <li>
   Proven experience with data modeling for analytics/reporting
  </li>
  <li>
   Experience working with business stakeholders, not just hiding behind code
  </li>
  <li>
   Ability to translate messy data into clear, actionable insights
  </li>
 </ul>
 <p>
 </p>
</div>


Senior Data Engineer

CLEAR

<div><p>CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier&mdash;physically and digitally. With more than 38 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it's at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences.</p>
<p>
We're looking for a Data Engineer II to help us build the next generation of products which will go beyond just ID and enable our members to leverage the power of a networked digital identity. As a Data Engineer at CLEAR, you will participate in the design, implementation, testing, and deployment of applications to build and enhance our platform- one that interconnects dozens of attributes and qualifications while keeping member privacy and security at the core.</p>
<p>
A brief highlight of our tech stack:</p>
<ul>
<li>SQL / Python / Looker / Snowflake / dbt</li>
</ul>
<p><b><i>What you'll do:</i></b></p>
<ul>
<li>Build a scalable data system in which Analysts and Engineers can self-service changes in an automated, tested, secure, and high-quality manner</li>
<li>Build processes supporting data transformation, data structures, metadata, dependency and workload management</li>
<li>Develop and maintain data pipelines to collect, clean, and transform data (owning end to end data product from ingestion to visualization)</li>
<li>Develop and implement data analytics models</li>
<li>Partner with product and other stakeholders to uncover requirements, to innovate, and to solve complex problems</li>
<li>Have a strong sense of ownership, responsible for architectural decision-making and striving for continuous improvement in technology and processes at CLEAR</li>
</ul>
<p><b><i>What you're great at:</i></b></p>
<ul>
<li>4+ years of data engineering experience</li>
<li>Working with cloud-based application development, and be fluent in at least a few of:</li>
<li><ul><li>Cloud services providers like AWS</li>
<li>Data pipeline orchestration tools like Airflow, Dagster, Luigi, etc</li>
<li>Big data tools like Spark, Kafka, Snowflake, Databricks, etc</li>
<li>Collaboration, integration, and deployment tools like Github, Argo, and Jenkins</li>
<li>Data visualization tool like Looker, Tableau, etc</li>
</ul></li><li>Articulating technical concepts to a mixed audience of technical and non-technical stakeholders</li>
<li>Collaborating and mentoring less experienced members of the team</li>
<li>Comfort with ambiguity</li>
<li>Curiosity about technology, believe in constant learning, and ability to be autonomous to figure out what's important</li>
</ul>
<p><b><i>How You'll be Rewarded:</i></b></p>
<p>
At CLEAR, we help YOU move forward - because when you're at your best, we're at our best. You'll work with talented team members motivated by our mission of making experiences safer and easier. Our offices are bright and energetic with an open concept and plenty of conference rooms and casual co-working spaces. We also offer catered lunches every day and have fully stocked kitchens. Outside of the office, we invest in your well-being and learning &amp; development with stipends and reimbursement programs.</p>
<p>
We offer holistic total rewards, including comprehensive healthcare plans, family-building benefits (fertility and adoption/surrogacy support), flexible time off, annual wellness stipend, free OneMedical memberships for you and your dependents, a CLEAR Plus membership, and a 401(k) retirement plan with employer match. The base salary range for this role is $150,000-$180,000 depending on levels of skills and experience.</p>
<p><i>
The base salary range represents the low and high end of CLEAR's salary range for this position. Salaries will vary depending on various factors which include, but are not limited to location, education, skills, experience and performance. The range listed is just one component of CLEAR's total compensation package for employees and other rewards may include annual bonuses, commission, and Restricted Stock Units.</i></p>
<p><i>
CLEAR provides reasonable accommodation to qualified individuals with disabilities or protected needs. Please let us know if you require a reasonable accommodation to apply for a job or perform your job. Examples of reasonable accommodation include, but are not limited to, time off, extra breaks, making a change to the application process or work procedures, policy exceptions, providing documents in an alternative format, live captioning or using a sign language interpreter, or using specialized equipment.</i></p>
<p><i>
We are committed to a transparent and secure hiring process. All communications related to this role will come directly from a CLEAR employee through valid CLEAR channels (e.g., a valid @clearme.com email address or verified CLEAR LinkedIn profile). We encourage candidates to remain alert to job scams and to report any suspicious activity.</i></p>
<p>
#LI-Onsite</p></div>

Data Engineer II

New York Life

<div><div><div><p>Job Description</p></div></div><div><div><div><h4 class="jobSectionHeader"><b>
Requisition ID</b></h4><div>
93846</div></div><div><h4 class="jobSectionHeader"><b>
Department</b></h4><div>
Tech Data AI Ventures</div></div><div><h4 class="jobSectionHeader"><b>
Job Function</b></h4><div>
Tech Data AI Ventures</div></div><div><h4 class="jobSectionHeader"><b>
Location</b></h4><div>
New York,New York,United States</div></div><div><h4 class="jobSectionHeader"><b>
Role Location Designation</b></h4><div>
Hybrid - 3 days per week</div></div></div></div><p></p><div><div><div><div><p><b><br>
Location Designation:</b> Hybrid - 3 days per week</p><p></p><div><br>
We are seeking energetic and passionate Senior Data Engineer to design and execute our company&rsquo;s modern data management strategy. As a key member of Enterprise Data Platform team, you will work with talented engineers, architects, data scientists and end users to reimagine, design and build the next generation of Insurance solutions in the cloud leveraging nascent and modern technologies and platforms including AWS and Azure cloud, APIs, and AI. You will be responsible for the design, development and deployment of optimal data pipelines taking advantage of leading-edge technologies through experimentation and iterative refinement. You will assist other team members in building and executing automation that effectively and repeatably ensures quality, security, integrity and maintainability of our solutions. You will also be responsible for the evaluation of existing data pipeline architecture, evolve and enhance the foundation, participate in product ideation and technology stack evaluation and recommendations</div><div></div><div><b><br>
What You&rsquo;ll Do:</b></div><ul><li>
Engages in collaborative relationships across architecture, product management, data and product delivery teams to design, implement solutions based on defined business challenges and outcomes</li><li>
Participate on scrum teams working in short sprints and ensure on time delivery with high quality</li><li>
Build and maintain Data engineering solutions on cloud platforms using AWS or Azure services.</li><li>
Design, develop, and implement scalable data transformations and ETL/ELT processes using Python, PySpark, and or Data Integration tools IDMC, DBT</li><li>
Collaborate with Data Architects and Data analysts to understand data requirements and translate them into scalable, high performant data integration and pipeline solutions.</li><li>
Develop and maintain data models and schemas to support data integration and analysis</li><li>
Monitor and troubleshoot data pipeline performance, identifying and resolving bottlenecks and issues</li><li>
Optimize and tune data integration pipelines for performance, reliability, and scalability</li><li>
Implement data quality and validation checks to ensure accuracy and integrity of data through testing</li><li>
Build the infrastructure required for optimal ETL/ELT of data from a wide variety of data sources using SQL and AWS big data technologies</li><li>
Develop and debug code in PySpark/Spark/Python. Strong SQL and query optimization techniques</li><li>
Maintaining high degree of knowledge and expertise in cloud-based technologies contributing to go forward best practices, standards and patterns</li><li>
Active participant in relevant communities of practice to exchange ideas and knowledge</li></ul><div></div><div><b><br>
What You&rsquo;ll Bring:</b></div><ul><li>
Eight or more years of experience in enterprise-level delivery of Data Engineering solutions.</li><li>
Deep understanding of modern data architecture, including experience with data lakes, data warehouses, data marts, relational and dimensional modeling, data quality, and master data management.</li><li>
Strong background in Operational Data Stores, Dimensional Modeling, and supporting application data architecture. Experience with Redshift, Snowflake, Databricks SQL, Oracle, Postgres, MySQL, and understanding of best practice architectural concepts for relational data models.</li><li>
8 + Years of design and implementation of ETL/ELT framework for complex warehouses/data marts.</li><li>
Proven experience in ETL/ELT tools IDMC, DBT, AWS Glue.</li><li>
Proficiency with languages such as Python, PySpark</li><li>
Strong knowledge on AWS Cloud technologies.</li><li>
Strong, demonstratable hands-on experience with data engineering and data pipelines</li><li>
Proficient in cloud architecture and best practices, particularly with AWS Cloud tools such as Amazon RDS, Redshift, AWS DMS, AWS Glue, Amazon S3, AWS Lambda, and more.</li><li>
Hands-on development mentality, with a willingness to troubleshoot and solve complex problems.</li><li>
Identify, recommend, and implement ELT processes and architecture improvements.</li><li>
Assist and verify design of solution and production of all design phase deliverables.</li><li>
Bachelor&rsquo;s or Master's degree in computer science or an Engineering discipline</li><li>
Certification in data management (structure and unstructured), and/or cloud architecture or engineering a plus</li><li>
Certification in delivery methodologies such as Scaled Agile a plus</li></ul><div></div><div><br>
#LI-CD2</div><p></p><p><b><br>
Pay Transparency</b></p><p>
Salary Range: $124,000-$177,000</p><p>
Overtime eligible: Exempt</p><p>
Discretionary bonus eligible: Yes</p><p>
Sales bonus eligible: No</p><p>
Actual base salary will be determined based on several factors but not limited to individual&rsquo;s experience, skills, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program.</p><p></p><div><p><b><br>
Company Overview</b></p></div><div><p>
At New York Life, our 180-year legacy of purpose and integrity fuels our future. As we evolve into a more technology-, data-, and AI-enabled organization, we remain grounded in the values that drive lasting impact.</p></div><div><p>
Our diverse business portfolio creates opportunities to make a difference across industries and communities&mdash;inviting bold thinking, collaborative problem-solving, and purpose-driven innovation. Here, you&rsquo;ll find the rare balance of long-standing stability and forward momentum, supported by an inclusive team that honors tradition while embracing progress.</p></div><div><p>
As a Fortune 100 mutual company, we offer a place to grow your skills, contribute to meaningful work, and deliver solutions that matter. Your ideas drive what&rsquo;s next, and your growth powers it.</p></div><p></p><p><b><br>
Our Benefits</b></p><p>
We provide a full package of benefits for employees &ndash; and have unique offerings for a modern workforce, including leave programs, adoption assistance, and student loan repayment programs. Based on feedback from our employees, we continue to refine and add benefits to our offering, so that you can flourish both inside and outside of work.<b> </b>Click here<b> </b>to discover more about our comprehensive benefit options or visit our NYL Benefits Site.</p><p><br>
</p><p><b>Our Commitment to Inclusion</b><br>
At New York Life, fostering an inclusive workplace is fundamental to who we are and how we serve our communities. We have a longstanding commitment to creating an environment where individuals can contribute their best and succeed together. This foundation is rooted in our core values of humanity and integrity, ensuring that every employee feels valued and supported. By embracing a broad range of perspectives and experiences, we achieve greater success and fulfill our promise of providing financial security and peace of mind to families across all communities. Click here to learn more about New York Life&rsquo;s leadership in this space.
</p><p>Recognized as one of <i>Fortune&rsquo;s</i> World&rsquo;s Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation. We're proud that due to our mutuality, we operate in the best interests of our policy owners. To learn more about career opportunities at New York Life, please visit the Careers page of www.NewYorkLife.com.</p><p>
Visit our LinkedIn to see how our employees and agents are leading the industry and impacting communities.</p><p>
Visit our Newsroom to learn more about how our company is constantly evolving to meet our clients' and employees&rsquo; needs.</p><p></p><p><br>
Job Requisition ID: 93846</p></div></div></div></div></div>

Senior Associate - Data Engineer

WW International, Inc. (Weight Watchers)

<div><div><h3 class="jobSectionHeader"><b>WeightWatchers is a global digital health company.</b></h3>
<p>
WeightWatchers is a global digital health company and the world's #1 doctor-recommended, clinically studied behavioral weight health program. For sixty years, we have led the industry by blending science and community to help millions of people build sustainable healthy habits.</p>
<p>
As the science of weight health rapidly evolves, so does WeightWatchers. We are redefining the category by developing <b>new clinical pathways for GLP-1 medication access</b>, creating specialized behavioral programs for members on weight-loss medications, and integrating medical care with our proven habit-change framework. By combining these clinical breakthroughs with our digital-first community, we are uniquely positioned to lead the future of weight health care.</p></div><h4 class="jobSectionHeader"><b>
Who we are</b></h4>
<p>
The Data Team at Weight Watchers is in a key position to shape the future of our business and products. Leveraging tens of billions of data points per year, we produce insights that enable Weight Watchers to better serve our 4 million worldwide members. We are equal partners with our peers in Product, Engineering, Marketing, Finance, and beyond. At Weight Watchers there's an authentic appetite for data-informed decision-making across the company, and our role is to educate and empower stakeholders by leading with transparency and expanding our stakeholders' understanding, often of deeply technical concepts.</p>
<h4 class="jobSectionHeader"><b>
What you will Do</b></h4>
<p>
We are seeking a seasoned Senior / Staff Data Engineer to drive scale, performance, and actionability within our data ecosystem. You will strengthen and scale our Python and Snowflake-based infrastructure, building the core capabilities required to support dynamic analytics and our transition toward more automated, self-service data workflows.</p>
<p>
We need an engineer who can adapt to a dynamic product environment, who can ask the 'why' behind the 'what' to ensure we are building the right solutions. For candidates at the Staff level, we expect a proven track record of setting technical roadmaps and serving as a multiplier for the engineering and analytics teams.</p>
<h4 class="jobSectionHeader"><b>
Key Responsibilities</b></h4>
<ul><li><b>Data Enablement:</b> Support the analytics layer by developing core Looker views and building out our agentic AI infrastructure to derive automated self-service capabilities and reduce reporting bottlenecks.</li>
<li><b>Pipeline Architecture:</b> Design, build, and scale ELT pipelines that are resilient, efficient, and modular.</li>
<li><b>Cross-Functional Collaboration:</b> Partner with Finance, Product, and Analytics to ensure our data models solve the right problems.</li>
<li><b>Data Modeling:</b> Build and maintain analytics schemas (including Star Schemas) that abstract complex logic into user-friendly datasets.</li>
<li><b>End-to-End Ownership:</b> Lead projects from inception to production, taking accountability for data integrity and the trustworthiness of the platform.</li>
<li><b>Operational Excellence:</b> Monitor production health using monitoring tools (e.g. Datadog, Monte Carlo) ensuring our data ecosystem remains robust and reliable.</li>
<li><b>Technical Leadership:</b> Act as a technical lead, conduct code reviews, define engineering culture, and champion best practices.</li>
</ul><h4 class="jobSectionHeader"><b>Who you are</b></h4>
<ul><li><b>Experience:</b> 5+ years in data engineering, with at least 2+ years focused on distributed, large-scale cloud data warehouses.</li>
<li><b>Snowflake Expertise:</b> Proven experience with Snowflake performance optimization and cost-governance. Familiarity with Snowflake Cortex/MCP is a plus.</li>
<li><b>Technical Mastery:</b></li>
<li><ul><li><b>Advanced Software Engineering (Python):</b> Deep proficiency in Python, with a focus on writing modular, reusable, and testable code (unit/integration tests) for complex data processing.</li>
<li><b>Data Modeling &amp; SQL Mastery:</b> Expert-level SQL and a sophisticated understanding of data warehousing methodologies to build performant, scalable analytics layers.</li>
<li><b>Infrastructure &amp; Automation:</b> Practical experience with modern CI/CD frameworks (e.g., GitHub Actions, Argo CD) to drive engineering velocity and platform stability.</li>
<li><b>Workflow Orchestration:</b> Expertise in architecting and scaling orchestration-as-code workflows (e.g., Prefect or Airflow) to manage complex dependencies and ensure pipeline resilience.</li>
<li><b>Observability &amp; Reliability:</b> Deep proficiency in deploying monitoring and alerting frameworks (e.g., Datadog) to maximize system uptime while mitigating alert fatigue.</li>
</ul></li><li><b>Operational Maturity:</b> Experience managing business-critical production pipelines with a focus on uptime, data quality, and defining SLAs.</li>
<li><b>Education:</b> BS/MS in Computer Science, Information Systems, or a related technical field.</li>
</ul><div><p>
At WeightWatchers, our mission is to build a worldwide community connected by healthy habits. If that resonates with you, then we would love to talk. WeightWatchers values developing community within our employee population as well. We have a hybrid work environment to allow our employees to find the right work-life balance.</p>
<p><i>
It is our priority to cultivate a diverse and inclusive workplace. We are committed as individuals, as an organization, and as fellow humans, to advocate for and support our employees, our members, and our communities. We are proud to be an equal opportunity employer and we do not discriminate on the basis of sex, race, color, creed, national origin, marital status, age, religion, sexual orientation, gender identity, gender expression, veteran status, or disability.</i></p>
<p><i>
By agreeing to participate in our process, you agree that any information we collect is subject to our </i><i>Privacy Policy</i><i>.</i></p><br>
<p></p>
<div>
<div>Maryland</div>
<b>Under Maryland law, an employer may not require or demand, as a condition of employment, prospective employment, or continued employment, that an individual submit to or take a polygraph examination or similar test. An employer who violates this law is guilty of a misdemeanor and subject to a fine not exceeding $100.</b></div>
<div></div>
<div>Massachusetts</div>
<div>It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.</div><br>
<div>
<div></div><div>WeightWatchers complies with all applicable Rhode Island Workers' Compensation laws (Chapters 29-38 of the R.I. General Laws). Eligible employees are covered by worker's compensation insurance for work-related injuries or illness.</div>
<div></div>
</div><h3 class="jobSectionHeader"><b>RECRUITMENT SECURITY &amp; FRAUD PREVENTION</b></h3>
<p>
At WeightWatchers, we prioritize the security of our candidates. To ensure you are communicating with a legitimate representative of our team, please keep the following security standards in mind:</p>
<ul>
<li><b>Verified Email Domain:</b> All official correspondence from our recruiting team will originate from an <b>@ww.com</b> email address.</li>
<li><b>Live Engagement:</b> Our hiring process requires live interaction. We do not conduct interviews or extend employment offers solely through text message, chat apps, or automated email-only exchanges.</li>
<li><b>Financial Integrity:</b> WeightWatchers will <b>never</b> ask for any form of payment from a candidate. We will never send you a check with instructions to purchase equipment or &quot;start-up kits&quot; on our behalf.</li>
<li><b>Secure Data Collection:</b> Sensitive personal information (such as banking or identity tax info) is only requested through our official, secure onboarding portal after a formal offer has been extended, never during the interview phase.</li>
</ul>
<p><b>Stay Vigilant:</b> If you are contacted by someone claiming to represent WeightWatchers and the process deviates from these standards, please do not share any personal information. You can verify any open position by visiting our official careers page at https://job-boards.greenhouse.io/ww</p></div></div><p></p>

Staff Data Engineer

Capital One

<div>Distinguished Data Engineer<p></p><p>
Distinguished Data Engineers are individual contributors who strive to be diverse in thought so we visualize the problem space. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. Distinguished Engineers will significantly impact our trajectory and devise clear roadmaps to deliver next generation technology solutions.</p><p></p><p>
You will work alongside our talented team of developers, machine learning experts, product managers and people leaders. Our Distinguished Engineers are leading experts in their domains, helping devise practical and reusable solutions to complex problems. You will drive innovation at multiple levels, helping optimize business outcomes while driving towards strong technology solutions.</p><p></p><p>
At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. You will promote a culture of engineering excellence, and strike the right balance between lending expertise and providing an inclusive environment where the ideas of others can be heard and championed. You will lead the way in creating next-generation talent for Capital One Tech, mentoring internal talent and actively recruiting to keep building our community.</p><p></p><p>
Distinguished Engineers are expected to lead through technical contribution. You will operate as a trusted advisor for our key technologies, platforms and capability domains, creating clear and concise communications, code samples, blog posts and other material to share knowledge both inside and outside the organization. You will specialize in a particular subject area, but your input and impact will be sought and expected throughout the organization.</p><ul><li><p>
Deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices</p></li><li><p>
Visionaries, collaborating on Capital One&rsquo;s toughest issues, to deliver on business needs that directly impact the lives of our customers and associates</p></li><li><p>
Role models and mentors, helping to coach and strengthen the technical expertise and know-how of our engineering and product community</p></li><li><p>
Evangelists, both internally and externally, helping to elevate the Distinguished Engineering community and establish themselves as a go-to resource on given technologies and technology-enabled capabilities.</p></li></ul><p></p><p>
Responsibilities:</p><ul><li><p>
Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in.</p></li><li><p>
Strike the right balance between lending expertise and providing an inclusive environment where others&rsquo; ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team</p></li><li><p>
Promote a culture of engineering excellence, using opportunities to reuse and inner source solutions where possible</p></li><li><p>
Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization</p></li><li><p>
Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner</p></li><li><p>
Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One&rsquo;s Tech talent.</p></li><li><p>
Define and champion the strategic roadmap for the adoption, governance, and cost-optimization of the data ecosystem leveraging Databricks and Snowflake on the AWS cloud.</p></li><li><p>
Lead the design and implementation of highly scalable, fault-tolerant, and cost-effective data architectures that seamlessly integrate Databricks (for complex processing/ML) and Snowflake (for warehousing/BI).</p></li><li><p>
Serve as the primary technical authority for data security and governance best practices within Databricks and Snowflake, ensuring integration with core AWS security services (e.g., IAM, KMS).</p></li><li><p>
Drive performance engineering and optimization for large-scale data ingestion and processing workloads across the Databricks/Snowflake/AWS data pipeline.</p></li><li><p>
Mentor engineering teams on the advanced features, architecture, and cost-efficient usage of Databricks, Snowflake, and related AWS services.</p></li><li><p>
Articulate and evangelize a bold technical vision for your domain</p></li><li><p>
Decompose complex problems into practical and operational solutions</p></li><li><p>
Ensure the quality of technical design and implementation</p></li><li><p>
Serve as an authoritative expert on non-functional system characteristics, such as performance, scalability and operability</p></li><li><p>
Continue learning and injecting advanced technical knowledge into our community</p></li><li><p>
Handle several projects simultaneously, balancing your time to maximize impact</p></li><li><p>
Act as a role model and mentor within the tech community, helping to coach and strengthen the technical expertise and know-how of our engineering and product community</p></li><li><p>
Ensure Code is of the highest quality &amp; standard while being an active contributor and reviewer on critical repos of the application</p></li><li><p>
Develop full stack applications with a product engineering mindset, spanning frontend and backend ecosystems that balance simplicity with flexibility</p></li></ul><p>
Basic Qualifications:</p><ul><li><p>
Bachelor&rsquo;s Degree</p></li><li><p>
At least 7 years of experience in data engineering</p></li><li><p>
At least 3 years of experience in data architecture</p></li><li><p>
At least 2 years of experience building applications in AWS</p></li></ul><p></p><p>
Preferred Qualifications:</p><p></p><ul><li><p>
Masters&rsquo; Degree</p></li><li><p>
9+ years of experience in data engineering</p></li><li><p>
3+ years of data modeling experience</p></li><li><p>
2+ years of experience with ontology standards for defining a domain</p></li><li><p>
2+ years of experience using Python, SQL or Scala</p></li><li><p>
1+ year of experience deploying machine learning models</p></li><li><p>
3+ years of experience implementing big data processing solutions on AWS</p></li><li><p>
10+ years of hands-on experience developing and architecting solutions on AWS.</p></li><li><p>
Deep proficiency and strategic experience with Databricks (e.g., Delta Lake, Unity Catalog, ML flow, performance tuning Spark workloads).</p></li><li><p>
Deep proficiency and strategic experience with Snowflake (e.g., Data Sharing, Snowpipe, external tables, security features, cost governance, advanced SQL/Stored Procedures).</p></li><li><p>
Deep practical knowledge of core AWS data services such as Amazon S3, EMR, Glue, Kinesis, and Lambda, and how they integrate with Databricks and Snowflake.</p></li><li><p>
Experience with Infrastructure as Code (IaC) tools (e.g., Terraform) to automate the deployment and management of Databricks and Snowflake environments on AWS.</p></li><li><p>
Relevant professional certifications such as AWS Certified Solutions Architect - Professional or Snowflake/Databricks certifications (e.g., Certified SnowPro Advanced Architect).</p></li><li><p>
10+ years of professional experience coding in commonly used languages like Java, Python, Go, JavaScript/TypeScript, Swift, etc.</p></li><li><p>
8+ years of professional experience in the full lifecycle of system development, from conception through architecture, implementation, testing, deployment and production support.</p></li><li><p>
Experience in applying Artificial Intelligence or Machine Learning concepts to engineering challenges (e.g., anomaly detection, test optimization, intelligent testing).</p></li><li><p>
Deep practical knowledge of Site Reliability Engineering (SRE) principles, chaos engineering, and advanced Observability tooling (e.g., Open Telemetry, Prometheus, Tracing)</p></li><li><p>
Experience in implementing Artificial Intelligence or Artificial Intelligence-enabled solutions.</p></li></ul><p></p><p><b><i>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position</i></b></p><p></p><p>
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.</p><p></p>
New York, NY: $293,600 - $335,100 for Distinguished Data Engineer<p></p><p><br>
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.</p><p></p>
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.<p></p><p>
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.</p><p></p>
This role is expected to accept applications for a minimum of 5 business days.<p></p>
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.<p></p><p>
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.</p><p></p><p>
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com</p><p></p><p>
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.</p><p></p><p>
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).</p></div>

Distinguished Data Engineer

LS Power Development, LLC

<div>Overview:
<p><b>
About us:</b></p><p>
Founded in 1990, LS Power is a premier development, investment, and operating company focused on the North American power and energy infrastructure sector, with leading platforms across generation, transmission and energy expansion solutions. Since inception, LS Power has developed or acquired 50,000 MW of power generation, including utility-scale solar, wind, hydro, battery energy storage, and natural gas-fired facilities. Through its transmission business, LS Power Grid, the company built and operates 780+ miles of high-voltage transmission and 7 transmission utilities and has another 375+ miles currently in construction or development. LS Power actively invests in and scales businesses that are meeting the growing needs of the energy expansion, including electric vehicle charging, demand response, microgrids, renewable fuels and waste-to-energy platforms. Over the years, LS Power has raised more than $76 billion in debt and equity capital to support North American infrastructure.</p><p></p><p><b><br>
Our Purpose, Mission, &amp; Values:</b></p><p>
Our Purpose is to solve complex energy problems that improve the world</p><p>
Our Mission is to make lives better by developing a cleaner and more reliable energy ecosystem</p><p>
Our Values are the willingness to participate in and help strengthen our culture of integrity, Innovation, Teamwork, and Taking Ownership</p><p></p><p><br>
Our People create value and are our Most Valuable asset. We take our values of Integrity, Innovation, Teamwork and Taking Ownership seriously and ask candidates to think about how they can help us further enhance our culture with their specific skillsets, capabilities and experiences.</p><p></p><p><b><br>
Benefits</b></p><p>
We provide our team the opportunity to share their unique perspectives, solve new challenges, and continue in their career growth. We are committed to supporting employees&rsquo; happiness, healthiness, and overall well-being by providing comprehensive benefits that include 100% employer paid premium healthcare, paid parental leave and more.</p><p></p><p><b><br>
Compensation</b></p><p>
The salary for this role is $140,000-$160,000. This is the range that we in good faith anticipate relying on when setting wages for this position. We may ultimately pay more or less than the posted range and this range is only applicable for jobs to be performed in New York. This salary range may also be modified in the future.</p><p></p><p><b><br>
About the Role:</b></p><p>
This position is responsible for the design, maintenance, and reliability of the data infrastructure that supports our energy marketing and trading operation. You will the responsibility for the data layer behind a growing portfolio of internal business applications, ensuring that analysts, traders, and developers across the organization have timely access to clean, well-organized data.</p><p></p><p><br>
This is a hands-on, technical role embedded in a small, high-output software team. The ideal candidate is someone who thinks of data engineering not as an end in itself but as a means of solving real business problems. We value simplicity, clarity, and maintainability over architectural complexity.</p>
Responsibilities:
<p><b>
What you will do:
</b></p><ul><li>Manage and extend a Microsoft Fabric environment including OLTP SQL Databases, lakehouses, warehouses, data pipelines, notebooks, and dataflows, ensuring reliable scheduled refreshes and data quality across workspaces.</li><li>
Support data flows that underpin internal trading, settlements, and reporting applications.</li><li>
Build and maintain data ingestion pipelines from a wide variety of sources: SFTP feeds, REST APIs, email attachments, flat files, and third-party energy market data vendors.</li><li>
Own the operational reliability of data infrastructure: monitor pipeline health, troubleshoot failures, manage credentials and permissions, and handle workspace administration including item ownership transfers.</li><li>
Develop applications that provide direct transparency into the underlying data that feeds complex analysis.</li><li>
Manage ML training and inference pipelines that influence trading and plant management decisions.</li><li>
Use master data management architectures alongside interactive applications to retain and reinforce critical business knowledge.</li></ul>
Qualifications:
<p><b>
We want you on our team because you&hellip;</b></p><ul><li>
Have 5+ years of hands-on experience in data engineering, database administration, or a related data-intensive role.</li><li>
Are proficient in SQL and have meaningful experience managing relational databases in production, whether SQL Server, PostgreSQL, or similar.</li><li>
Have worked with a modern cloud data platform such as Microsoft Fabric, Databricks, Snowflake, or Azure Synapse, and understand the patterns of lakehouse and warehouse architectures.</li><li>
Write Python comfortably for data pipeline development, automation, and scripting, and understand how to keep scripts clean, modular, and easy for others to maintain.</li><li>
Have built data ingestion from real-world messy sources: APIs with pagination and rate limits, SFTP servers, email inboxes, inconsistently formatted files.</li><li>
Believe that the best data infrastructure is the kind nobody has to think about because it just works, and you take pride in building systems that are boring in the best sense of the word.</li><li>
Are a strong communicator who can translate between technical implementation and business requirements without losing fidelity in either direction.</li><li>
Have a heavy bias to get to the end state through planning and action. Actions like performing the migration/refactor and dropping dead code and dead datasets.</li></ul><p><b>
 </b><b>Ideally, you have...</b></p><ul><li>
Experience in the energy sector, particularly with energy marketing and trading data such as LMP pricing, SCADA, ISO market feeds, or commodity futures and derivatives.</li><li>
Familiarity with energy market data vendors such as Bloomberg, ICE, Platts, NRG Stream, Databento, or similar.</li><li>
Background in finance, gas, or commodities even if not specifically in power markets.</li><li>
A demonstrated habit of building tools, automations, or personal projects at high volume &mdash; we value people who are prolific builders and problem solvers, not just people who have worked on one large system.</li><li>
Active use of AI-assisted development tools and a thoughtful perspective on how to integrate them into a professional workflow responsibly.</li><li>
Personal experience hosting, fine-tuning, or managing language models, or involvement in a technically ambitious personal project involving AI infrastructure.</li><li>
An appreciation for software principles like KISS, DRY, and keeping complexity to a minimum &mdash; you would rather delete code than add it.</li></ul></div>

Data Engineer

Sigma Computing

<p></p><div><h3 class="jobSectionHeader"><b>About the Role</b></h3>
<p>
We are hiring a Senior, hands-on Cloud Security Engineer to secure a large-scale, cloud-native SaaS platform. This is an engineering-first role for someone who builds security solutions&mdash;not just manages tools.</p>
<p>
You will be a SME for cloud security architecture across platform, IAM, network, workload, data, and AI enablement, and partner with Engineering, Security, and Product to implement scalable controls that support business growth. You'll design secure architectures, embed controls into infrastructure-as-code, and build automated guardrails so teams can move fast without waiting on manual security approvals.</p>
<p>
We're looking for a builder-defender who thrives in complex cloud environments, automates aggressively (&quot;let the robots do the work&quot;), and can scale cloud security for a fast-moving SaaS company.</p>
<h3 class="jobSectionHeader"><b>
What You'll Do</b></h3>
<ul><li><b>Architectural Leadership:</b> Partner deeply with infrastructure and engineering teams to embed security into development workflows, leading high-level technical discussions to guide security efforts and strategic priorities.</li>
<li><b>Multi-Cloud Engineering:</b> Design, implement, and continuously improve Sigma Cloud Security across <b>AWS, GCP, and Azure</b> environments with architect-level technical depth.</li>
<li><b>Threat Modeling &amp; IR:</b> Conduct cloud threat modeling and demonstrate hands-on experience in Cloud Incident Response, including investigating and remediating malicious activity within cloud environments.</li>
<li><b>Identity &amp; Access:</b> Build IAM and privileged access strategy (RBAC/ABAC, federation, least privilege, cross-account access), eliminating standing privilege and long-lived credentials. Develop and enforce IAM best practices, including zero-trust models and privileged access controls across IaaS and SaaS.</li>
<li><b>Drive cloud data security controls</b> including classification, encryption/KMS, masking/tokenization, access governance, retention/deletion, and exfiltration risk reduction across APIs and data pipelines.</li>
<li><b>Develop automated remediation workflows</b> for recurring cloud misconfigurations, drift, and policy violations to reduce manual effort and response time.</li>
<li><b>Security Stack Management:</b> Deploy and manage cloud-native services (CSPM, CNAPP, DSPM, SIEM, DLP, WAF, Kubernetes, and container security).</li>
<li><b>Network Defense:</b> Review and apply zero-trust principles through strict network segmentation, authentication, and authorization.</li>
<li><b>Automation:</b> Develop sophisticated signatures/rules for cloud security and automate detection and response workflows.</li>
<li><b>AI :</b> Use AI securely and effectively to scale security practices and improve team efficiency.</li>
<li><b>Continuous Evolution:</b> Stay ahead of threats by leveraging intelligence, attack simulation, and red/blue team learnings.</li>
</ul><h3 class="jobSectionHeader"><b>What We're Looking For</b></h3>
<ul><li>Minimum 7+ years in Security roles with at least 5+ years focused on Cloud security engineering,IAM, and Data security</li>
<li>Bachelor's or Master's degree in Computer Science, Cyber Security, or a related field.</li>
<li>Deep technical expertise in cloud architectures AWS/Azure/GCP; including IAM, networking (VPCs, security groups, PrivateLink), and native security services is strongly desired.</li>
<li>Strong infrastructure-as-code skills&mdash;you write Terraform professionally, not just read it.</li>
<li>Advanced understanding and experience with container security, Kubernetes, and secure CI/CD pipeline design</li>
<li>Proven ability to demonstrate incident response experience specifically related to cloud-based malicious activity and breach remediation.</li>
<li>Advanced Cloud IAM expertise: federation, SSO, PAM/JIT access, service identities, and least privilege design.</li>
<li>Strong background in cloud network security (segmentation, private connectivity, egress controls, WAF).</li>
<li>Strong proficiency in scripting languages (e.g., Python, Go, PowerShell) for automation, data analysis, and security tooling development.</li>
<li>Strong knowledge of security platforms such as CNAPP (Wiz), WAF (Cloudflare), SASE (Netskope)</li>
<li>Demonstrated ability to lead cloud/saas architecture reviews and influence senior engineering stakeholders.</li>
<li>Experience securing data platforms (nice to have) - Snowflake, Databricks, BigQuery etc.</li>
<li>Experience in high-growth SaaS or data platforms Organizations (nice-to have)</li>
<li>Prior experience in Platform Engineering, DevSecops or similar (nice-to have)</li>
<li><b>Certifications (Preferred):</b> Professional-level cloud certifications are required, such as:</li>
<li><ul><li><b>AWS:</b> Certified Security &ndash; Specialty or Solutions Architect &ndash; Professional.</li>
<li><b>GCP:</b> Professional Cloud Security Engineer or Professional Cloud Architect.</li>
<li><b>Azure:</b> AZ-500 (Security Technologies) or AZ-305 (Solutions Architect).</li>
</ul></li>
</ul><p><b>Why Sigma?</b></p>
<p>
At Sigma, security is at the core of our mission. We power insights and innovation for our customers, and protecting their data is our highest priority. As a Senior Security Engineer, you will have the autonomy to shape our Security Engineering strategy, access to cutting-edge technologies, and the opportunity to solve real problems at scale.</p>
<p>
Join us and be part of a security team that values collaboration, innovation, and resilience&mdash;while giving you the room to grow, lead, and leave your mark on Sigma's security journey.</p>
<p><b>
Additional Job details</b></p>
<p>
The base salary range for this position is $210k - $240k annually.</p>
<p>
Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Sigma Computing. This role is eligible for stock options, as well as a comprehensive benefits package.</p><div><h4 class="jobSectionHeader"><b>
About us:</b></h4>
<p>
Sigma is the AI apps and analytics platform connected to the cloud data warehouse. Using Sigma, business and technical teams can build intelligent, production-ready AI apps that accelerate and automate operational workflows. Sigma provides a spreadsheet interface, SQL and Python editors, visual builders, and native AI to help teams turn live data into interactive applications, analysis, reports, and embedded experiences.</p>
<p>
Sigma announced its $200M in Series D financing in May 2024, to continue transforming BI through its innovations in AI infrastructure, data application development, enterprise-wide collaboration, and business user adoption. Spark Capital and Avenir Growth Capital co-led the Series D funding round, with additional participation from a group of past investors including Snowflake Ventures and Sutter Hill Ventures.The Series D funding, raised at a valuation 60% higher than the company's Series C round three years ago, promises to further accelerate Sigma's growth.
</p><p>Come join us!</p>
<h4 class="jobSectionHeader"><b>
Benefits For Our Full-Time Employees:</b></h4>
<ul><li>Equity
</li><li>Generous health benefits</li>
<li>Flexible time off policy. Take the time off you need!</li>
<li>Paid bonding time for all new parents</li>
<li>Traditional and Roth 401k</li>
<li>Commuter and FSA benefits</li>
<li>Lunch Program</li>
<li>Dog friendly office</li>
</ul>
<p>Sigma Computing is an equal opportunity employer. We are committed to building a smart and strong team regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We look forward to learning how your experience can enable all of us to grow<i>.</i></p>
<p><i>
Note: We have an in-office work environment in all our offices in SF, NYC, and London.</i></p>
<p><b>
Our Privacy Practices
</b></p><p>When you submit a job application on this site, Sigma processes your personal data for the purposes of evaluating your candidacy for employment at Sigma and as otherwise needed throughout the recruitment and hiring process. Please review Sigma's Candidate Privacy Notice for more details. Please note that your personal data may be transferred to a country other than the one in which it was provided (including to USA, the UK, and Canada).</p>
<p><b>
Sigma's use of AI
</b></p><p>This hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.</p></div></div>

Senior Security Engineer II – Cloud & Data Security

Explore 1191+ Cloud data engineer in New York this May. Find roles across top companies and apply now to boost your career.