data analyst

data engineer

software engineer

data engineer ii

data scientist

senior 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

BDIPlus

<div><h2 class="jobSectionHeader">Overview</h2><p>
BDIPlus is seeking a <b>Senior Data Engineer</b> to support a Fortune 100 financial services client&rsquo;s real-time intelligence initiatives.</p><p>
In this role, You&rsquo;ll work in a <b>virtualization-first architecture</b> using Denodo, building both virtual and physical data products that are governed, high-quality, and AI-ready.</p><p>
You will play a critical role in establishing <b>trusted, reusable data assets</b>&mdash;each backed by formal data contracts, quality controls, and full lineage.</p><p></p><h2 class="jobSectionHeader">
What You&rsquo;ll Do</h2><ul><li>
Build governed virtual data models in Denodo, including cross-system joins, canonical schemas, ABAC policies, and column-level masking</li><li>
Configure and optimize semantic layer connectivity (JDBC/ODBC, connection pooling, failover)</li><li>
Implement data quality rules (completeness, validity, uniqueness, anomaly detection, scoring)</li><li>
Configure data catalog, lineage, and marketplace publishing</li><li>
Build physical data products:</li><li><ul><li>
Source extraction (mainframe, CDC, COBOL copybooks)</li><li>
ETL/ELT pipelines using Informatica IDMC or dbt</li><li>
Data Lakehouse storage using Apache Iceberg on AWS S3</li></ul></li><li>
Define and implement <b>machine-readable data contracts</b> (YAML/JSON), including schema guarantees, SLAs, and dependency tracking</li><li>
Develop APIs, SLA monitoring dashboards, reconciliation processes, and production-grade delivery patterns</li><li>
Partner with client teams through demos, rotations, and structured knowledge transfer</li><li>
Leverage AI-assisted development (Claude Code) to accelerate delivery and improve productivity</li></ul><p></p><h2 class="jobSectionHeader">
Required Qualifications</h2><ul><li>
5+ years of data engineering experience in enterprise-scale environments</li><li>
Strong expertise with Denodo (VQL development, query optimization, caching, governance)</li><li>
Experience with Apache Iceberg on AWS (S3, Glue, Athena), including schema evolution and partitioning</li><li>
Hands-on experience with Informatica</li><li>
Experience implementing data quality frameworks</li><li>
Strong SQL and programming skills (Python, Spark; dbt preferred)</li><li>
Experience with CDC technologies (e.g., Debezium, Informatica CDC, or equivalent)</li><li>
Familiarity with API development (FastAPI, Node.js) and OpenAPI standards</li><li>
Experience working with AI-assisted development tools (Claude Code preferred; training available)</li></ul><p></p><h2 class="jobSectionHeader">
Preferred Qualifications</h2><ul><li>
Experience with mainframe data environments (COBOL copybooks, VSAM, AIX/AS400 extraction)</li><li>
Financial services or insurance domain experience</li><li>
Familiarity with multi-tier data certification frameworks (e.g., Bronze/Silver/Gold or Foundation/Production/Enterprise)</li><li>
Experience with API gateways and AI integration patterns (e.g., Kong Gateway, APIGEE, MCP)</li><li>
Experience designing and enforcing formal data contracts and dependency management</li><li>
Consulting or client-facing experience with structured knowledge transfer</li><li>
AWS certifications (Solutions Architect, Data Analytics) are a plus</li></ul><p></p><h2 class="jobSectionHeader">
About BDIPlus</h2><p>
BDIPlus is a data and AI consulting firm with deep experience delivering for Fortune 500 clients, including American Express and Morgan Stanley. We specialize in <b>enterprise data products, identity resolution, semantic layers, and event-driven architecture</b>.</p><p>
Our engineers are <b>AI-native</b>, leveraging tools like Claude Code from day one to deliver faster, higher-quality solutions than traditional consulting teams.</p><p>
BDIPlus is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.</p></div>

DriveWealth

<div>
 <strong>
  About Us
 </strong>
 <p>
  DriveWealth is on a mission to make investing easier. We believe that everyone should have the ability to control their financial future, and that access to financial markets should not be limited by geography, wealth, or legacy systems. We are a global B2B financial technology organization dedicated to democratizing access to financial independence around the world. Our mission is realized through an API-based platform, empowering our partners to offer seamless investing and trading experiences to clients worldwide, all from their mobile devices. Our technology provides partners with a modern, extensible toolkit, enabling traditional investment workflows and innovative techniques like fractional share ownership. DriveWealth has evolved into a global platform offering trading of US equities, mutual funds, ETFs, fixed income, and options.
 </p>
 <p>
  There&rsquo;s never been a better time to build a category-defining business and there has rarely been a team better positioned for this opportunity. Our culture blends the pace and agility of a fintech start-up with the impact, stability, and discipline of Wall Street. We encourage creativity and experimentation while ensuring institutional-grade execution and regulatory compliance in everything we do. Join us and help build the future of global investing!
 </p>
 <p>
  <strong>
   About The Role:
  </strong>
 </p>
 <p>
  The Regulatory Technology (RegTech) team at DriveWealth develops data products to support the Compliance organization in its supervisory reporting responsibilities and external regulatory requirements.&nbsp; We are looking for a Senior Data Engineer to take ownership of regulatory-related data products. The role entails end-to-end automation of data ingestion, transformation, orchestration, and delivery of best-of-class data products to internal and external stakeholders. The end product may be a BI report, data mart, bulk raw data delivery, or REST API endpoints.&nbsp;
 </p>
 <p>
  The ideal candidate is excited about working in an automated, modular, and testable environment and will work closely with the broader Data Platform, Analytics Engineers, Product Management, and Compliance professionals to ensure that requirements are met with scalable technical designs developed with strong engineering principles.&nbsp;
 </p>
 <p>
  <strong>
   What You'll Do:
  </strong>
 </p>
 <ul>
  <li>
   Assist in creatively solving compliance and regulatory needs at DriveWealth&nbsp;
  </li>
  <li>
   Establish unit and regression testing practices for end-to-end CI/CD using declarative languages such as YAML and Terraform to ensure environmental parity
  </li>
  <li>
   Work with business partners, compliance, and product managers on requirements using an AGILE framework
  </li>
  <li>
   Work to establish an open and scalable data culture through documentation, constructive code reviews, and clear explanations of priorities and pain points
  </li>
  <li>
   Provide thought leadership, best practices on architecture and tooling, and standards for designing and implementing scalable data analytics solutions
  </li>
  <li>
   Provide mentorship and guidance to analytics engineers and analysts
  </li>
 </ul>
 <p>
  <strong>
   What You'll Need:
  </strong>
 </p>
 <ul>
  <li>
   5+ years of experience solving data problems with internal and external stakeholders
  </li>
  <li>
   3+ years working on data ingestion (CSV, JSON, REST), data transformation (DBT), and&nbsp; orchestrating data pipelines (Databricks and/or Airflow)
  </li>
  <li>
   2+ years of experience working with trading and/or regulatory reports, such as best execution, CAT, OATS, trade monitoring, EBS, and regulatory inquiries
  </li>
  <li>
   Experience working within a larger data team: CI/CD process leveraging GitHub and AGILE development where possible
  </li>
  <li>
   Programming Languages: Python, SQL, Spark (PySpark, Spark SQL)
  </li>
  <li>
   Declarative Languages:&nbsp; YAML, Terraform
  </li>
  <li>
   Databases: DynamoDB, Unity Catalog, PostgreSQL, SQL Server
  </li>
  <li>
   BS in Computer Science or equivalent program
  </li>
 </ul>
 <p>
  <strong>
   Nice To Have, But Not Required:
  </strong>
 </p>
 <ul>
  <li>
   Experience with business intelligence reporting (Sigma)
  </li>
 </ul>
 <p>
  Applicants must be currently authorized to work in the United States.&nbsp; At this time, DriveWealth does not provide new employment visa sponsorship, but candidates with existing transferable work authorization may be considered.
 </p>
 <p>
  CompensationCompensation package offerings are based on candidate experience and technical qualifications, as it relates to the role. These are identified and determined throughout your interviewing experience.Please note: this role is expected to come into our office on a cadence set by the Hiring Manager/Team.
 </p>
 <p>
  New York, NY (Hybrid) Pay Range: $150,000 USD - $180,000 USD
 </p>
 <strong>
  Working at DriveWealth
 </strong>
 <p>
  We do our best work when we&rsquo;re in the same room. To maintain the speed our partners expect, our New York and Chicago teams work in-office 4 days a week. We&rsquo;ve found that being physically side-by-side is the only way to solve complex problems in real-time and stay truly accountable to the products we ship. When you&rsquo;re here, you&rsquo;re working directly with the people making the decisions.&nbsp;To support that work, we provide competitive compensation, equity, and a 401(k) match. We also offer full insurance coverage, a wellness reimbursement, a company-provided phone, and a personal development allowance. Finally, we value the time you spend away from the office with generous PTO, observed holidays, and extended leave.
 </p>
 Work Authorization
 <p>
  Applicants must possess the legal right to work in the country where the position is located at the time of application. DriveWealth requires all employees to provide original documentation verifying their work authorization on or before their first day of employment.
 </p>
 <p>
  For US-based roles: Applicants must be currently authorized to work in the United States on a full-time basis without the need for current or future visa sponsorship. DriveWealth does not provide visa sponsorship or support for employment authorization, including transfers, at this time. Offers of employment are strictly contingent upon an individual&rsquo;s ability to secure and maintain the legal right to work at the Company.
 </p>
 <strong>
  How We Think About AI
 </strong>
 <p>
  We leverage AI to work smarter and move faster. We seek AI-curious talent who are proactive about using emerging tools to increase signal quality, reduce friction, and improve outcomes to deliver products faster, provide better service to our partners, and to streamline processes. Your ability to leverage our internal tools and technology to drive results is as important to us as your core domain expertise.
 </p>
 <strong>
  Compensation
 </strong>
 <p>
  Pay is generally based on the level, complexity, responsibility, location, and job duties/requirements of the specific position. We then source candidates with the requisite skills, expertise, education, training, and experience.&nbsp; If you are selected for an interview, please feel welcome to speak to a recruiter about our compensation philosophy and other available benefits. This role is eligible for base, bonus, equity, 401(k) match, and heavily subsidized benefits and perks.
 </p>
 <strong>
  Equal Employment Opportunity
 </strong>
 <p>
  To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply.&nbsp;
 </p>
 <strong>
  Agency Disclaimer
 </strong>
 <p>
  DriveWealth does not accept agency resumes. Do not forward resumes to our jobs alias, employees, or any other organization location. DriveWealth is not responsible for any fees related to unsolicited resumes.
 </p>
</div>


Senior Data Engineer, RegTech

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

Humana

<div><h1 class="jobSectionHeader"><b>Become a part of our caring community</b><br>
</h1>
The Lead Data Engineer is responsible for leading the modernization, optimization, and stabilization of the Wisconsin Medicaid Market's data platform ecosystem across two independent health plan technology stacks. This role owns the market's Data Warehouse and ODS, drives ETL/data movement strategy (including SSIS modernization), and improves the reliability, observability, and security posture of data pipelines supporting critical Medicaid operations.<br>
The Lead Data Engineer partners closely with the Market BI team as their IT counterpart to improve data access and flow, including establishing and managing Databricks pipeline patterns and platform enablement as the BI environment evolves.<p></p><p>
The Lead Data Engineer owns and evolves the Wisconsin Medicaid Market's data stores and data movement ecosystem, including the Data Warehouse and ODS, and the ETL processes that connect vendor and internal systems. This role is accountable for modernizing and optimizing the market's data platform to improve reliability, reduce technical debt, strengthen observability/fault tolerance, and increase engineering efficiency in a complex dual-stack environment.</p><p></p><p>
The Lead Data Engineer is also the Market BI team's primary IT partner for data platform enablement &mdash; improving data access patterns, strengthening pipeline governance, and helping establish a maintainable approach to Databricks pipelines and workflows as the market matures its analytics capabilities.</p><p></p><p>
This is a Lead-level individual contributor role where work requires higher autonomy and complexity and includes directing the work of a small number of contract resources while remaining hands-on in delivery.</p><p></p><p><b>
Team Culture &amp; Expectations</b></p><p>
On the Wisconsin Medicaid Market IT team, how you show up is as important as what you accomplish. We value a positive attitude, curiosity, ownership, and a desire to learn and make a meaningful difference. This role requires collaboration, high accountability, and comfort operating in ambiguity while continuously improving data reliability, security, and outcomes for associates, members, providers, and other stakeholders.</p><h1 class="jobSectionHeader"><b><br>
Use your skills to make an impact</b><br>
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</b></h1><p><b>Skills &amp; Capabilities</b></p><p>
The ideal candidate blends deep data engineering fundamentals with the ability to lead through influence &mdash; setting direction, improving reliability, and guiding others' work (including contract resources) while staying hands-on.</p><p></p><p><b>
Required Skills</b></p><ul><li><b>
SQL, ETL/ELT &amp; Data Platform Depth - </b>Proven production experience with SQL Server data engineering, including warehousing patterns, operational support, performance tuning, and ETL/ELT design. Strong experience with SSIS/SSRS and Azure Data Factory (or similar orchestration) in real operating environments.</li><li><b>
Integration &amp; Interoperability Tooling (WI Market Reality) - </b>Experience working across integration engines and healthcare data movement patterns, including tools such as Rhapsody / CorePoint</li><li><b>
Modernization, Optimization &amp; Stabilization Mindset - </b>Demonstrated ability to modernize and optimize fragile pipelines and legacy patterns, reduce technical debt, and improve reliability, observability, and fault tolerance.</li><li><b>
Databricks / UDAP Growth Path (directional, not gatekeeping) - </b>Experience with Databricks and/or enterprise data platforms (e.g., UDAP), or strong aptitude and desire to grow into these platforms as part of market modernization and enterprise alignment.</li><li><b>
Execution Leadership - </b>Highly organized, self-directed, and able to drive work to outcomes in an ambiguous, rapidly changing environment including planning, sequencing, and communicating progress/risk. Experience creating detailed technical documentation to gain buy-in and drive decisions. Team operates in SAFe Agile practices.</li><li><b>
Vendor / Contract Resource Direction - </b>Ability to direct and review contract resource work (clarify requirements, establish standards, review deliverables, ensure maintainability).</li></ul><p></p><p><b>
Preferred Skills</b></p><ul><li>
Own the market's data stores (Data Warehouse + ODS) and ensure stability, security, and performance</li><li>
AI Integration</li><li>
Lead modernization and optimization of the ETL ecosystem, including SSIS modernization and improved reliability/observability</li><li>
Drive reduction of legacy report patterns and support transition aligned to enterprise SSRS footprint reduction efforts</li><li>
Partner with Market BI as their IT counterpart to improve data access and establish/manage Databricks pipeline patterns</li><li>
Define and enforce data engineering standards aligned with enterprise direction.</li><li>
Reduce technical debt and streamline workflows to lower operational burden on engineers and increase delivery capacity</li></ul><p></p><p><b>
Additional Information</b></p><p><b>
Work-At-Home Requirements</b></p><ul><li>
WAH requirements: Must have the ability to provide a high speed DSL or cable modem for a home office. Associates or contractors who live and work from home in the state of California will be provided payment for their internet expense.</li><li>
A minimum standard speed for optimal performance of 25x10 (25mpbs download x 10mpbs upload) is required.</li><li>
Satellite and Wireless Internet service is NOT allowed for this role.</li><li>
A dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information</li></ul><p></p>
Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.<p></p><p><b>
Scheduled Weekly Hours</b></p><p></p>
40<p></p><p><b>
Pay Range</b></p>
The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.<br>
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$142,300 - $195,700 per year<br>
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This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.<p></p><p><b>
Description of Benefits</b></p>
Humana, Inc. and its affiliated subsidiaries (collectively, &ldquo;Humana&rdquo;) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.<p></p><h1 class="jobSectionHeader"><b><br>
About us</b><br>
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About Inclusa: Inclusa manages the provision of a person-centered and community-focused approach to long-term care services and support to Family Care members across the state of Wisconsin. As a values-based organization devoted to building vibrant and inclusive communities, Inclusa deploys a unique approach to managed care with a trademarked model of support named Commonunity&reg; which focuses on the belief in everyone, and from that belief, the common good for all is achieved. In 2022, Inclusa was acquired by Humana. This partnership will allow us to create a model of care that provides industry-leading support for members across the health care continuum.<p></p>
About Humana: Humana Inc. (NYSE: HUM) is a leading U.S. healthcare company. Through our Humana insurance services and our CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health &ndash; delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare and Medicaid, families, individuals, military service personnel, and communities at large. Learn more about what we offer at Humana.com and at CenterWell.com.<p><br>
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<b>Equal Opportunity Employer</b></p><p></p><p>
It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.</p></div>

Lead Data Engineer – Modernization & Reliability

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

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