data analyst

software engineer

business analyst

data engineer ii

data scientist

data engineer

BBR Partners

<div>FIRM OVERVIEW

BBR Partners is a boutique wealth management firm providing customized investment strategies and bespoke advice to high-net-worth individuals and families. Our clients are comprised of the brightest minds in the financial and investing worlds, entrepreneurs, business owners, leaders, and influential families who entrust us with the holistic care of their fiscal well-being. The firm was founded in early 2000 and for over 25 years has nurtured our culture with talented people from diverse backgrounds who care about each other, our clients, and our collective communities. In our quest for continuous improvement, we strive to develop not only world class talent, but world class humans!

POSITION OVERVIEW

BBR Partners is seeking a Data Engineer to contribute to the build-out and ongoing maintenance of our modern data infrastructure, which supports investment, research, and operations capabilities across the firm. This role focuses on building well-tested, business-ready datasets in dbt and Snowflake, translating financial domain logic from legacy systems into clean, documented models that serve teams across the firm. The ideal candidate has a solid technical foundation, an eagerness to grow, and direct experience working with data in the securities, wealth management, or financial services industry.

RESPONSIBILITIES
<ul>
<li>Develop and maintain data models in dbt, implementing tests, documentation, and lineage tracking as standard practice.</li>
<li>Translate business logic from legacy SQL Server systems into clean, tested dbt models as part of ongoing platform modernization.</li>
<li>Build and optimize data pipelines that ingest, transform, and deliver investment, portfolio, and client data across the firm.</li>
<li>Build and optimize analytical datasets in Snowflake to support reporting and business intelligence.</li>
<li>Write and maintain Airflow DAGs, Python, SQL for scheduled and event-driven workflows, following CI/CD practices for deployment.</li>
<li>Collaborate across engineering, analytics, and business teams &ndash; integrating into a firm where everyone contributes beyond their lane.</li>
<li>Identify manual or fragile processes and build automated, sustainable replacements. Own problems end-to-end.</li>
<li>Implement monitoring and alerting (Datadog) to catch pipeline failures and data quality issues before they reach stakeholders.</li>
<li>Participate in code reviews and contribute to team engineering standards</li>
</ul>
QUALIFICATIONS
<ul><li>2-4+ years of experience in data engineering roles.</li>
<li>Required: Strong Python and SQL. Comfortable writing production code, not just notebooks.</li>
<li>Required: Experience with Snowflake or similar cloud warehouse. Working knowledge of SQL Server - able to read and reverse-engineer stored procedures, views, and legacy logic. Hands-on Airflow/Python ETL tooling preferred.</li>
<li>Required: Prior experience working with financial services data. Candidates must demonstrate meaningful exposure to relevant data domains such as securities identifiers (tickers, FIGI, CUSIPs, ISINs), client portfolios, positions and holdings, performance reporting, or fund operations. Experience at a wealth manager, asset manager, hedge fund, or market/alternative data provider strongly preferred.</li>
<li>Comfortable working autonomously with minimal direction. Proactive problem-solver who acts on gaps without waiting for assignment.</li>
<li>Experience with dimensional modeling and data warehouse design patterns.</li>
<li>Able to explain technical tradeoffs to non-technical stakeholders clearly and without jargon.</li>
<li>Preferred: Experience with the following technologies: dbt, Docker, Terraform, Azure, GitHub Actions, Datadog.</li>
</ul>
WHAT WE OFFER
<ul>
<li>Opportunity to collaborate with accomplished colleagues in an entrepreneurial and fast-paced environment.</li>
<li>Competitive base salary and incentive compensation.</li>
<li>Company subsidized health, dental and vision insurance for employee, partner, and dependents.</li>
<li>401K plan, Life insurance, and short &amp; long-term disability coverage.</li>
<li>One Medical membership (covered for employee and dependents), Employee assistance program (EAP), Gym reimbursement and other wellness offerings.</li>
<li>Pre-tax transit and parking programs, Health Savings Account (HSA) and flexible spending programs for medical and dependent care.</li>
<li>Personalized development and career opportunities.</li>
<li>Flexible time off, paid parental leave, and opportunity for Sabbatical with company tenure.</li>
<li>Hybrid remote work environment, &quot;Work from Anywhere&quot; weeks, and casual dress.</li>
<li>New office space with a variety of perks and amenities including catered lunches and stocked pantry.</li>
</ul>
ADDITIONAL INFORMATION 
Base salary for this position will be determined during the interview process and will vary based on multiple reasons, including but not limited to prior experience, relevant expertise, current business needs, and market factors. The expected base salary for the role will generally be between $110,000-$125,000 per year at the commencement of employment, but the final salary offered may be outside this range based on these reasons and individual circumstances. Additionally, base salary is only part of the total compensation package, which, depending on the position, may also include discretionary bonuses, alternative incentive packages and Company-sponsored benefit programs. This position is at-will, and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

We value and seek diversity of thought and equity of representation. The environment at BBR is inclusive of all, collaborative and endlessly curious. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.</div>

Data Engineer

VERVE GROUP

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

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

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

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

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

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

Kaizen

<div>
 
 Who Are We?
 
 
 
 Government technology has failed the public for decades, and Americans have been conditioned to expect websites from the 90s for essential public services.
 
 
 Kaizen exists to strengthen trust in American public services by building technology that residents and public servants are proud to use. We partner with local, state, and federal agencies to replace legacy systems with modern, AI-native software that is worthy of the people they serve. We started in outdoor recreation, and now we're building toward something much larger &mdash; the software layer that powers how Americans access any government service.
 
 
 Our platform already reaches 40 million residents across 50+ agencies in 17 states.
 
 
 Founded in 2022 and based in New York City, Kaizen has raised $35 million from NEA, a16z, Accel, 776, and Carpenter Capital. We're builders, designers, and operators who believe that beautifully designed software shouldn&rsquo;t be a luxury in government. It&rsquo;s how you earn trust back.
 
 
 
 The Data Intelligence Team
 
 
 
 The DI team exists to make Kaizen faster, smarter, and more effective at every level. The team runs four pillars:
 
 
 <ul>
 <li>
 External Analytics: Best-in-class reporting for customers inside Kaizen's platform
 </li>
 <li>
 Automation: Finding repetitive workflows across the org and building tools to eliminate them
 </li>
 <li>
 AI Enablement: Making sure every person at Kaizen knows how to use AI effectively
 </li>
 <li>
 Internal Analytics: Trusted dashboards and data models that give every level of the org what they need to make faster decisions
 
 
 </li>
 </ul>
 
 The Role
 
 
 
 We&rsquo;re looking for a Data Engineer who can operate across the full spectrum of modern data work. This is not a narrow role. You will build and maintain the data models that power our internal and customer-facing reporting, design and ship automations that eliminate repetitive manual work, develop AI-powered tools that make teams faster and smarter, and build the internal tools that keep the whole operation running. One week you might be writing dbt models and tuning a Snowflake pipeline. The next you are building an internal application that transforms how a team operates, or standing up an AI workflow that cuts hours of manual work down to minutes.
 
 
 We are looking for someone who brings both technical depth and business instinct. You will work directly with team leads across the company, translate their problems into solutions, and own those solutions from concept to production. If you are energized by variety, thrive without a lot of hand-holding, and want your work to have a direct and visible impact on a growing company, this is the role.
 
 
 
 Who You Are
 
 
 
 You are a versatile data and analytics professional who thrives in ambiguity. You do not wait to be told what to build - you find the problem, propose the solution, and ship it. You are equally comfortable writing a dbt model, standing up an N8N automation, and pulling an ad hoc analysis for a leadership meeting. You care about doing clean work, and you understand that in a small team, your output is highly visible.
 
 
 
 What You Will Do
 
 
 
 <ul>
 <li>
 Build and maintain dbt models that power internal dashboards and external customer reporting
 </li>
 <li>
 Develop and maintain automation workflows in N8N and similar tools, eliminating repetitive manual work across the org
 </li>
 <li>
 Support the build-out of external analytics inside Kaizen's platform, ensuring customers have clear, actionable data at their fingertips
 </li>
 <li>
 Contribute to internal dashboards and analyses that keep leadership and team leads informed
 </li>
 <li>
 Partner with the team lead to identify and prioritize new automation and analytics opportunities across the organization
 </li>
 <li>
 Help shape the analytics layer of Kaizen's platform as the product scales
 
 
 </li>
 </ul>
 
 What You Bring
 
 
 
 <ul>
 <li>
 3-5 years of experience in a data, analytics, or engineering role (slope matters more than seniority)
 </li>
 <li>
 Strong SQL skills: you can write complex queries and think in data models
 </li>
 <li>
 Hands-on experience with dbt (or a strong willingness to ramp quickly)
 </li>
 <li>
 Experience building workflows and automations in tools like N8N, Zapier, or similar tools
 </li>
 <li>
 Comfort working across a modern data stack (Snowflake or similar)
 </li>
 <li>
 Understanding a second programming language is a strong plus (Python, JavaScript, etc.)
 </li>
 <li>
 Genuine fluency with AI tools: not just using them, but building with them
 </li>
 <li>
 Low ego, high output: you are a builder who gets things done without a lot of hand-holding
 </li>
 <li>
 Experience in a fast-paced startup environment
 </li>
 <li>
 Genuine curiosity about AI and how it can be applied to real workflows
 
 
 </li>
 </ul>
 
 What Kaizen Offers
 
 
 
 <ul>
 <li>
 Comprehensive medical through Oxford/United, including Gold and Platinum PPO plans, with 85% of premiums covered on the Platinum plan and a $0 employee premium option
 </li>
 <li>
 Dental through Guardian PPO and vision through Beam, with 99% of employee premiums covered and 50% for dependents
 </li>
 <li>
 $100,000 in fully paid life insurance. FSA and Dependent Care FSA. 401(k) access through Guideline
 </li>
 <li>
 16 weeks of fully paid parental leave for birthing parents. 10 weeks fully paid for non-birthing parents
 </li>
 <li>
 Unlimited PTO and closed for all federal holidays
 </li>
 <li>
 Company-wide winter break the week of Christmas
 </li>
 <li>
 One-time home office or desk setup stipend up to $750
 </li>
 <li>
 $50/month commuter benefit
 </li>
 <li>
 $100/month for wellness or productivity; your call on how you use it
 </li>
 <li>
 $500/year for professional development
 </li>
 <li>
 $250/year for recreation
 </li>
 <li>
 Company-provided laptop
 </li>
 <li>
 Expensed lunch while in the office
 
 
 </li>
 </ul>
 
 Kaizen is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, age, sex, national origin, disability, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. If you need an accommodation during the interview process, email us at
 
 
 careers@kaizenlabs.co
 
 
 .
 
 
 
 Why Now
 
 
 The government technology modernization wave is happening. Agencies are being pushed to change, and they need partners who can move fast and build well.
 
 
 We have the contracts. We have the agency relationships. We have the platform. We need the engineers.
 
 
 If you want to spend the next few years shipping software that actually matters &mdash; not another B2B SaaS dashboard, not an internal tool nobody uses &mdash; and you want to do it at a company moving aggressively into one of the most consequential markets in tech, this is the role.
 
 
 
 Don't Apply If...
 
 
 
 You need a detailed ticket to know what to build next. You think AI tools are a crutch. You want to own one layer of the stack and never leave it. You're more comfortable in a 500-person organization than a small team where everyone's accountable. You need the problem fully defined before you start moving. Or if you're looking for low-stakes work &mdash; because what we build touches real people in real moments that matter: accessing benefits, families navigating public services, constituents interacting with their government at its most critical touchpoints. This work is serious. The people we serve deserve serious teams.
</div>

Capgemini

<div>
 Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
 
 
 
 Client Location: Charlotte, NC
 
 
 
 
 Job Description
 
 
 
 Total years of data engineering experience 5 to 7 years with relevant GCP experience of 1years
 
 
 Experience in Data Engineering ETL Pipelines Batch and Streaming along withSQL Python PySpark UnixLinux and Data Warehousing concepts
 
 
 Experience in GCP native services like BigQuery Composer GCS Dataflow etc
 
 
 Experience in Data Migration along with Data Quality and Data Governance
 
 
 Experience of working in an Agile Scrum KANBAN Environment
 
 
 Participate proactively in standup meetings scrum ceremonies grooming sessions team retrospectives and suggest improvements
 
 
 Articulate and facilitate conversations with business owners and delivery teams
 
 
 Detailed understanding of Continuous Integration and Continuous Deployment Test Automation and Deployments
 
 
 Document and prioritize data and pipeline defects working closely with defect management teams for resolution
 
 
 Status reporting Project Risk Issue Management Business stakeholder reviews approvals of deliverables
 
 
 The base compensation range for this role in the posted location is:$90000 - $96000
 
 
 Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
 
 
 The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.
 
 
 These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.
 
 
 It is not typical for candidates to be hired at or near the top of the posted compensation range.
 
 
 In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.
 
 
 
 Benefits
 
 
 
 
 Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees.
 
 In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
 
 
 <ul>
 <li>
 Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
 </li>
 <li>
 Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
 </li>
 <li>
 Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
 </li>
 <li>
 Life and disability insurance
 </li>
 <li>
 Employee assistance programs
 </li>
 <li>
 Other benefits as provided by local policy and eligibility
 
 
 </li>
 </ul>
 
 Important Notice:
 
 Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini&rsquo;s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.
 
 
 
 Disclaimers
 
 
 
 Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
 
 
 This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
 
 
 Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.
 
 
 Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law
 
 
 Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
</div>

LS Power Development, LLC

<div>Overview:

About us:
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. 
Our Purpose, Mission, &amp; Values:
Our Purpose is to solve complex energy problems that improve the world
Our Mission is to make lives better by developing a cleaner and more reliable energy ecosystem
Our Values are the willingness to participate in and help strengthen our culture of integrity, Innovation, Teamwork, and Taking Ownership 
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. 
Benefits
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. 
Compensation
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. 
About the Role:
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. 
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.
Responsibilities:

What you will do:
<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:

We want you on our team because you&hellip;<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>
 Ideally, you have...<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>

CLEAR

<div>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.

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.

A brief highlight of our tech stack:
<ul>
<li>SQL / Python / Looker / Snowflake / dbt</li>
</ul>
What you'll do:
<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>
What you're great at:
<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>
How You'll be Rewarded:

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.

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.

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.

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.

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.

#LI-Onsite</div>

Data Engineer II

Gambit Technologies

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

Senior Data Engineer

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