afc modelling - data scientist - associate - vice president

software engineer

senior data engineer

advanced quality engineer Jobs in New York

advanced quality engineer

afc modelling - data scientist - associate - vice president Jobs in New York

ai architect hybrid

data engineer

Argo Group

<div><p><b>Company
</b></p>Shared Services
<p></p><p>Argo and Farm Family are specialty property and casualty insurance brands whose underwriting companies are wholly-owned subsidaries of Clearbrook Holdings Inc. Argo and Farm Family partner with agents and brokers to provide insurance solutions that enable businesses to manage risks with confidence.<br>
</p><p><br>
<b>Job Description
</b></p><p></p><div><div><p>Senior Data Engineer
<br>
AI-First Data Strategy for P&amp;C Insurance Carrier
</p><p>Lead Innovation in Property &amp; Casualty Insurance Data Solutions
</p><p>We are seeking a Senior Data Engineer to spearhead our transition to a modern, AI-first data strategy tailored to the unique demands of a property &amp; casualty (P&amp;C) insurance carrier.<br>
</p><h2 class="jobSectionHeader"><br>
<b>Responsibilities
</b></h2><ul><li><p>Lead the design and implementation of AI-powered data products and solutions that address business goals in underwriting, claims, risk management, and customer experience within the P&amp;C insurance sector.
</p></li><li><p>Define, develop, and register curated, reusable data products for lines of business such as auto, home, agriculture, commercial, and specialty insurance, enabling rapid insights and novel analytics across teams.
</p></li><li><p>Collaborate with data analysts, data scientists, actuaries, underwriters, claims specialists, and business leaders to gather requirements and deliver scalable, secure, and reliable data solutions in compliance with insurance regulations.
</p></li><li><p>Establish best practices for data engineering specific to P&amp;C insurance, ensuring adherence to engineering excellence, data quality, governance, and privacy standards.
</p></li><li><p>Mentor team members and foster a culture of innovation, continuous improvement, and cross-disciplinary collaboration.<br>
</p></li></ul><h2 class="jobSectionHeader"><br>
<b>Required Qualifications
</b></h2><ul><li><p>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or related field.
</p></li><li><p>Extensive experience (5+ years) in data engineering, with proven expertise in technical development, data design, and implementation in the insurance industry, preferably within P&amp;C.
</p></li><li><p>Solid understanding of property &amp; casualty insurance operations, including actuarial science, claims processing, underwriting, and pricing landscape.
</p></li><li><p>Ability to multitask and manage competing priorities in a fast-paced, compliance-driven environment.
</p></li><li><p>Experience implementing AI-first strategies and working with modern data platforms (e.g., Snowflake; Databricks, big data, analytics) relevant to P&amp;C insurance.
</p></li><li><p>Excellent communication and problem-solving skills, with the ability to translate complex business needs into actionable data solutions.<br>
</p></li></ul><h2 class="jobSectionHeader"><br>
<b>Preferred Skills
</b></h2><ul><li><p>Experience with cloud-based data architectures commonly used in the P&amp;C insurance industry (e.g., Snowflake, AWS).
</p></li><li><p>Proficiency in Python, SQL, and industry-standard data engineering tools and frameworks.
</p></li><li><p>Focuses on researching, building, and fine-tuning models from scratch or using frameworks.
</p></li><li><p>Exposure with Generative AI, Large Language Models (LLMs), LangChain, and vector databases.
</p></li><li><p>Experience with other advanced analytics approaches in property &amp; casualty insurance for AI-centric products.
</p></li><li><p>Knowledge of predictive modeling, telematics, geospatial analytics, and other advanced analytics applications in property &amp; casualty insurance.
</p></li></ul><p></p><p>Join us to redefine how data empowers property &amp; casualty insurance, accelerating speed to insight and enabling next-generation analytics and solutions powered by AI.
</p><p>This is a 100% in -office position. Candidates must be able to work on-site at a designated company office during standard business hours.
</p></div><p></p><div><p>The base salary range provided below is for hires in those geographic areas only and will be commensurate with candidate experience. Pay ranges for candidates in other locations may differ based on the cost of labor in that location. In addition to base salary, this position is eligible for an annual bonus based on company and individual performance as well as a generous benefits package .<br>
<br>
</p></div></div><div><div><p>NY Pay Range $113,000 - $160,000
</p></div></div><p></p><div><p><b><i>PLEASE NOTE:
</i></b></p><p>Applicants must be legally authorized to work in the United States. At this time, we are not able to sponsor or assume sponsorship of employment visas.
</p><p></p><p>If you have a disability under the Americans with Disabilities Act or similar state or local law and you wish to discuss potential reasonable accommodations related to applying for employment with us, please contact our Benefits Department at 210-321-8400.
</p><p></p><p><b>Notice to Recruitment Agencies:
</b><br>
Resumes submitted for this or any other position without prior authorization from Human Resources will be considered unsolicited. BWS and / or its affiliates will not be responsible for any fees associated with unsolicited submissions.
</p><p></p><p>We are an Equal Opportunity Employer. We do not discriminate on the basis of age, ancestry, color, gender, gender expression, gender identity, genetic information, marital status, national origin or citizenship (including language use restrictions), denial of family and medical care leave, disability (mental and physical) , including HIV and AIDS, medical condition (including cancer and genetic characteristics), race, religious creed (including religious dress and grooming practices), sex (including pregnancy, child birth, breastfeeding, and medical conditions related to pregnancy, child birth or breastfeeding), sexual orientation, military or veteran status, or other status protected by laws or regulations in the locations where we operate. We do not tolerate discrimination or harassment based on any of these characteristics.
</p><p></p><p>The collection of your personal information is subject to our HR Privacy Notice
</p><p></p><p><b>Benefits and Compensation
</b></p><p>We offer a competitive compensation package, performance-based incentives, and a comprehensive benefits program&mdash;including health, dental, vision, 401(k) with company match, paid time off, and professional development opportunities.</p></div></div><p></p>

Senior Data Engineer

NTT DATA

<div><h3 class="jobSectionHeader"><b>About NTT DATA</b></h3>
<p>At NTT DATA, we know that with the right people on board, anything is possible. The quality, integrity, and commitment of our employees have been key factors in our company's growth and market presence. By hiring the best people and helping them grow both professionally and personally, we ensure a bright future for NTT DATA and for the people who work here.</p>
<p>For more than 25 years, NTT DATA Services have focused on impacting the core of your business operations with industry-leading outsourcing services and automation. With our industry-specific platforms, we deliver continuous value addition, and innovation that will improve your business outcomes. Outsourcing is not just a method of gaining a one-time cost advantage, but an effective strategy for gaining and maintaining competitive advantages when executed as part of an overall sourcing strategy.</p>
<h3 class="jobSectionHeader"><b>Job Location</b></h3>
<p>New York, NY</p>
<h3 class="jobSectionHeader"><b>Key Responsibilities</b></h3>
<ul><li>Strong data engineering experience with <b>Snowflake, SQL, dbt, and very large datasets</b>.</li>
<li>Some data science exposure, particularly using <b>Python analytics packages</b>.</li>
<li>Some <b>PowerBI</b> experience.</li>
<li>Financial services knowledge preferred.</li>
<li>Investment risk experience helpful, though not expected to be at SME/guru level.</li>
</ul><h3 class="jobSectionHeader"><b>About NTT DATA Services</b></h3>
<p>NTT DATA Services is a recognized leader in IT and business services, including cloud, data and applications, headquartered in Texas. As part of NTT DATA, a $30 billion trusted global innovator with a combined global reach of over 80 countries, we help clients transform through business and technology consulting, industry and digital solutions, applications development and management, managed edge-to-cloud infrastructure services, BPO, systems integration and global data centers. We are committed to our clients' long-term success. Visit nttdata.com or LinkedIn to learn more.</p>
<h3 class="jobSectionHeader"><b>Equal Opportunity Employer</b></h3>
<p>NTT DATA Services is an equal opportunity employer and considers all applicants without regard to race, color, religion, citizenship, national origin, ancestry, age, sex, sexual orientation, gender identity, genetic information, physical or mental disability, veteran or marital status, or any other characteristic protected by law. We are committed to creating a diverse and inclusive environment for all employees. If you need assistance or an accommodation due to a disability, please inform your recruiter so that we may connect you with the appropriate team.</p>
<h3 class="jobSectionHeader"><b>Compensation</b></h3>
<p>Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting hourly range for this remote role is <b>($60/Hr - $70/Hr)</b>. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on several factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications.</p>
<h3 class="jobSectionHeader"><b>Benefits</b></h3>
<p>This position is eligible for company benefits that will depend on the nature of the role offered. Company benefits may include medical, dental, and vision insurance, flexible spending or health savings account, life, and AD&amp;D insurance, short-and long-term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally required benefits.</p></div>

Neuberger Berman

<div><p>Neuberger's Private Markets Technology group is seeking a Senior Data Engineer to design and scale the data infrastructure supporting our private equity and private debt strategies. This role sits at the intersection of data engineering and investment operations &mdash; you will work directly with fund administration, operations, and analytics teams to model, move, and govern data across a complex, multi-administrator environment spanning multiple fund structures and jurisdictions. Our data landscape is operationally driven and non-standard by nature &mdash; sourced from GP notices, fund administrators, data rooms, and bespoke operational workflows rather than exchange feeds or market data vendors. We need someone who understands that distinction and can build for it.<br>
<br>
<b>Key Responsibilities:</b></p><ul><li><p>
Develop and optimize data models in the data warehouse for analytics, reporting, and operational workloads &mdash; translating private markets workflows such as capital calls, distributions, and co-investment closings into well-governed, reusable datasets</p></li><li><p>
Design, build, and maintain scalable ETL/ELT data pipelines that ingest and normalize large volumes of structured and unstructured data from multiple fund administrators with inconsistent booking conventions across diverse fund structures and jurisdictions</p></li><li><p>
Implement data quality checks, monitoring, and alerting to ensure the reliability and accuracy of data across the platform.</p></li><li><p>
Collaborate with users and development teams to understand data requirements and deliver well-modeled, accessible datasets.</p></li><li><p>
Optimize query performance, pipeline throughput, and storage costs across the data platform.</p></li><li><p>
Contribute to data governance practices including documentation, lineage tracking, cataloging, and access controls &mdash; with a focus on golden record ownership and how upstream data quality propagates through downstream investment and reporting systems</p></li><li><p>
Leverage AI to drive efficient coding and process design</p></li></ul><p></p><p><b>
Required Qualifications</b></p><ul><li><p>
Bachelor&rsquo;s degree in Computer Science, Data Engineering, Information Systems, or a related field.</p></li><li><p>
7+ years of professional experience in data engineering, building and maintaining production data pipelines.</p></li><li><p>
Financial markets data domain experience required with Private Markets data experience a plus</p></li><li><p>
Demonstrated fluency with AI tools &mdash; co-pilot tools, LLM-assisted development, or AI-augmented data workflows</p></li><li><p>
Advanced SQL skills and experience designing dimensional data models (star schema, snowflake schema).</p></li><li><p>
Proficiency in Python and experience with data processing frameworks such as Apache Spark, Pandas, or Polars.</p></li><li><p>
Hands-on experience with orchestration tools such as Apache Airflow</p></li><li><p>
Experience with Snowflake and cloud services (AWS or Azure).</p></li><li><p>
Familiarity with data transformation tools like dbt and version-controlled analytics workflows.</p></li><li><p>
Solid understanding of software engineering best practices including Git, CI/CD, testing, and containerization.</p></li></ul><p></p><p><b>
Preferred Qualifications</b></p><ul><li><p>
Experience with streaming data architecture using Kafka</p></li><li><p>
Experience implementing data contracts and schema evolution strategies.</p></li><li><p>
Experience with OpenShift platform</p></li><li><p>
Experience normalizing data across similar data sets</p></li><li><p>
Experience private markets data context</p></li></ul><p></p><p><b>
Work model</b></p><p>
Location: New York City; hybrid with a minimum of two days per week in office.</p><p>
#LI-DD2</p><p>
#LI-Hybrid</p>
Applicants must be authorized and have the right to work in the country where the role is located without the need for current or future sponsorship.<p></p><p>
Compensation Details</p><p></p>
The salary range for this role is $110,000-$150,000. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. This range is only applicable for jobs to be performed in the job posting location. An employee&rsquo;s pay position within the salary range will be based on several factors including, but limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, business sector, performance, shift, travel requirements, sales or revenue-based metrics, market benchmarking data, any collective bargaining agreements, and business or organizational needs. This job is also eligible for a discretionary bonus, which, along with base salary and retirement contributions, is part of our total comprehensive package. We offer a comprehensive package of benefits including paid time off, medical/dental/vision insurance, retirement, life insurance and other benefits to eligible employees.<p></p><h3 class="jobSectionHeader"><b>
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, production, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company&rsquo;s sole discretion, consistent with the law.</b></h3><p></p><p><i>
Neuberger is an equal opportunity employer. The Firm and its affiliates do not discriminate in employment because of race, creed, national origin, religion, age, color, sex, marital status, sexual orientation, gender identity, disability, citizenship status or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact </i><i>onlineaccommodations@nb.com</i><i>.</i></p><p></p><p><i>
Learn about the </i><i>Applicant Privacy Notice</i><i>.</i></p></div>

Senior Developer I - Data Engineer

Google

<div>Note: By applying to this position you will have an opportunity to share your preferred working location from the following: <b>Mountain View, CA, USA; New York, NY, USA</b>.<h3 class="jobSectionHeader"><b>
Minimum qualifications:</b></h3><ul>
<li>Bachelor&rsquo;s degree in Computer Science, a related technical field, or equivalent practical experience.</li>
<li>8 years of experience in software development, including large-scale data systems or information retrieval.</li>
<li>Experience with programming in C++, Java, Python, or Go.</li>
<li>Experience designing and maintaining data pipelines.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Understanding of the Search product landscape and its unique data issues (e.g., latency, richness, quality).</li>
<li>Track record of leading organization-wide technical debt reduction or metrics convergence projects.</li>
<li>Ability to navigate a matrixed organization and drive alignment across cross-functional teams.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2>
Our goal is to drive Search product excellence and growth with data insights. We perform analysis to help the Search organization make big investment decisions and conduct research on topline and operational metrics to drive data-driven choices.<br>
<br>
As a Staff Software Engineer focusing on Data Engineering, you will build the scalable data foundations that empower this mission. You will work end-to-end to help build products that users love, enabling headroom analysis, experiment analysis, and technical trade-offs between competing metrics (e.g., richness of experience vs. search latency) through machine-consumable data systems<p>
In Google Search, we're reimagining what it means to search for information &ndash; any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.</p><p>
The US base salary range for this full-time position is $207,000-$300,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.</p><p>
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</p></div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Own the data engineering strategy for high-stakes Search initiatives, designing multi-stage data products that process data for billions of users.</li>
<li>Architect organization-wide initiatives for metrics convergence to establish single-source-of-truth foundations for operational and topline Search metrics.</li>
<li>Integrate core data systems with Google's backend infrastructure, ensuring technical designs are optimized for both massive scale and low-latency consumption.</li>
<li>Collaborate with Product Data Scientists and Engineering leads to identify growth and quality opportunities, bridging the gap between raw data and actionable insights.</li>
<li>Act as a primary technical advisor to Search leadership, transforming ambiguous product goals into solid architectural decisions.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Staff Data Engineer, Search, Data Science

Foot Locker

<div>Overview:
<div><b>
Hybrid (3 days in NYC office)</b></div><div></div><div><b><br>
At this time, Foot Locker will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, or another type of work authorization).</b></div><div></div><div><br>
We are seeking a results-driven Senior Data Analyst to join our Merchandising, Planning, Allocation &amp; Replenishment analytics team within our Global Data &amp; Analytics organization. This role will be instrumental in transforming complex datasets into actionable insights, enhancing the quality/usage of our existing data products and analytics services, and building new capabilities. This role is pivotal in driving data-informed decision-making across the organization with a focus on providing the business with actionable insights to drive inventory optimization, assortment strategies, and overall business performance.</div><div></div><div><p><br>
Great brands reflect culture. The best ones help shape it. At Foot Locker, we&rsquo;re rooted in sport, powered by style, and driven by the communities that move both. From Foot Locker and Kids Foot Locker to Champs Sports, WSS, and atmos, our brands sit at the intersection of sport, style, and self-expression.</p></div><p></p><div><p><br>
As part of the DICK&rsquo;S Sporting Goods family, you&rsquo;re backed by the resources, reach, and career opportunities of a world-class sports company. That unleashes Foot Locker to keep pushing forward with the agility and edge that define the brand. We&rsquo;re looking for great people who want to influence culture and the generation that is shaping what&rsquo;s next.</p></div><div><p>
Whether you&rsquo;re building strategy, shaping innovations, or creating unforgettable customer moments, you&rsquo;ll contribute to decisions and experiences that define our brands&rsquo; impact in the communities we serve.</p></div><p></p><div><p><br>
Come change the game with us. Apply today!</p></div>
Responsibilities:
<ul><li>Lead the design and implementation of complex analytical projects from inception to completion</li><li>
Transform and distill high complexity/high impact business inquiries into innovative analytic solutions, aligning both data teams and business clients on approach</li><li>
Mentor and provide guidance to junior analysts, fostering a culture of continuous learning</li><li>
Collaborate with IT and data engineering teams to ensure data infrastructure supports analytical needs.</li><li>
Communicate findings and strategic recommendations to leadership through reports and presentations</li><li>
Utilizing SQL, Power BI and other analytical toolsets, to support Merchandising, Planning, Allocation &amp; Replenishment teams&rsquo; analytical requests</li><li>
Conceptualize, build and operationalize data products per business needs and requirement.</li><li>
Ability to lead a group of Data Analysts, Data Scientists, Data Engineers and BI Engineers.</li><li>
Strong ability to interact with business, technical and functional teams. Act as a liaison between the business and IT for requirements and design.</li><li>
Research and troubleshoot problems &amp; questions related to deployed analytical solutions.</li><li>
Maintain knowledge on the latest data technology and best practices</li><li>
Maintain knowledge on the latest retail trends in industry</li><li>
Perform other related duties as assigned</li></ul>
Qualifications:
<ul><li>Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Statistics, Analytics, Finance, Business, Engineering, or a related field.</li><li>
4+ years of relevant experience in data analytics</li><li>
Advanced proficiency in SQL, Excel and Power BI Python is a plus</li><li>
Strong analytical skills with the ability to interpret complex data and provide actionable insights</li><li>
Experience with AI tools/methodologies, such as prompt engineering, generative AI, NLP, and AI model training a big plus.</li><li>
Excellent verbal &amp; written communication with both technical and business teams</li><li>
Excellent stakeholder management skills</li><li>
Must be highly motivated and be able to work both independently and in a team environment</li><li>
Learner mindset. Must be able to think both creatively and critically</li><li>
Strong project management skills with the ability to handle multiple priorities</li><li>
Knowledge of retail concepts, and ability to understand and work with retail data</li><li>
Must be highly motivated and be able to work both independently and in a team environment</li></ul><div>
At this time, Foot Locker will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, or another type of work authorization).</div><div></div><div><br>
At Foot Locker, we value innovation, authenticity, and integrity in all that we do. To uphold the security and fairness of our hiring process, we ask that candidates refrain from using AI tools, including ChatGPT, during interviews and assessments. To ensure a smooth and secure experience, please review the following guidelines:</div><ul><li>
Cameras must be on for all virtual interviews.</li><li>
AI tools are strictly prohibited during interviews or assessments.</li></ul><div>
We appreciate your understanding and cooperation as we work together to create a transparent and equitable hiring experience.</div>
Benefits:
<div>
The annual base salary range is $95,000 - $115,000 / year. This range represents the anticipated low and high end of the salary for this position. This role is also eligible to receive short term incentives that align with individual and company performance. Salary will be determined by the education, experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data. Salary is one component of the Foot Locker, Inc. total compensation package, which includes the below.</div><div><br>
</div><div><b>Foot Locker Benefits:</b></div><ul><li>
Employee Discount</li><li>
Paid Time Off</li><li>
Medical | Dental | Vision Coverage</li><li>
401(k) | Roth 401(k)</li><li>
Life Insurance</li><li>
Flexible Spending Account</li><li>
Opportunities for Advancement</li><li>
Tuition Reimbursement for Qualified Courses</li><li>
Strong Company Culture</li></ul><p></p><p><br>
#LI-KS1</p></div>

Sr. Data Analyst

Pave

<div>
 <strong>
  Who We Are
  <br/>
  <br/>
 </strong>
 At Pave, we're building the industry&rsquo;s leading compensation platform, combining the world's largest real-time compensation dataset with deep expertise in AI and machine learning. Our platform is perfecting the art and science of pay to give 8,500+ companies unparalleled confidence in every compensation decision.
 <br/>
 <br/>
 Top tier companies like OpenAI, McDonald&rsquo;s, Instacart, Atlassian, Synopsys, Stripe, Databricks, and Waymo use Pave, transforming every pay decision into a competitive advantage. $190+ billion in total compensation spend is managed in our workflows, and 70% of Forbes AI 50 use Pave to benchmark compensation.
 <br/>
 <br/>
 The future of pay is real-time &amp; predictive, and we&rsquo;re making it happen right now. We&rsquo;ve raised $160M in funding from leading investors like Andreessen Horowitz, Index Ventures, Y Combinator, Bessemer Venture Partners, and Craft Ventures.
 <br/>
 <br/>
 <strong>
  Core Platform @ Pave
  <br/>
  <br/>
 </strong>
 The Core Platform team sits at the center of Pave Engineering, bridging product and platform engineering. We build the foundational services, APIs, and abstractions that enable every team to ship enterprise-grade software with speed and confidence. In this role, you&rsquo;ll own critical services like user authentication and authorization, as well as the foundational data infrastructure and models powering Pave&rsquo;s compensation intelligence platform. Success in this role requires strong systems thinking and the ability to drive large, complex initiatives across the organization.
 <br/>
 <br/>
 Learn more about our engineering principles here!
 <br/>
 <br/>
 <strong>
  What You'll Bring
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3+ years of backend engineering experience building data intensive applications, ideally utilizing modern web technologies such as TypeScript and Node.js
  </li>
  <li>
   Strong product intuition with the ability to design generalized platform solutions that solve cross-product challenges
  </li>
  <li>
   Hands-on experience with data infrastructure, data pipelines/ ETLs, data modeling; ML/AI platform experience a plus
  </li>
  <li>
   Experience leading large technical projects with high ambiguity and numerous stakeholders
  </li>
  <li>
   Execution-driven mindset: You thrive in fast-paced environments, bias toward action, and ship thoughtful solutions with maintainability and scalability in mind
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Our stack includes:
 </strong>
 TypeScript, Node.js, MySQL, Prisma, and React, hosted on GCP
 <br/>
 <br/>
 <strong>
  Compensation, It's What We Do.
  <br/>
  <br/>
 </strong>
 At Pave, we believe compensation should be as thoughtful as the people we hire. Your total rewards package includes meaningful equity, best-in-class medical, dental, and vision coverage, unlimited PTO, and region-specific benefits designed around your life &mdash; not just your role. Your level and compensation are determined by your experience and how you show up throughout the interview process. We're always happy to walk you through how we think about leveling &mdash; just ask.
 <br/>
 <br/>
 Targeted cash compensation for this role:
 <br/>
 <br/>
 P2: $141,100 - $190,900
 <br/>
 <br/>
 P3: $166,600 - $225,400
 <br/>
 <br/>
 P4: $195,500 - $264,500
 <br/>
 <br/>
 <strong>
  Benefits
 </strong>
 <strong>
  @ Pave
  <br/>
  <br/>
 </strong>
 At Pave, growth isn't a perk &mdash; it's the point. As you develop, your role expands, your responsibilities deepen, and your compensation reflects the impact you're making.
 <br/>
 <br/>
 <strong>
  What we offer:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Your Health, Fully Covered: Comprehensive medical, dental, and vision coverage for you and your family, with a range of options designed to meet you where you are.
  </li>
  <li>
   Time That's Actually Yours: Flexible PTO and the freedom to work from anywhere in the world for up to a month &mdash; because life doesn't pause, and neither should you.
  </li>
  <li>
   Fuel for the Work: Lunch and dinner stipends plus fully stocked kitchens, so you can stay energized without thinking twice about it.
  </li>
  <li>
   Room to Keep Growing: A quarterly education stipend to invest in the skills and knowledge that matter most to you.
  </li>
  <li>
   Support When It Matters Most: Robust parental leave so you can be fully present for the moments that count.
  </li>
  <li>
   Getting Here, Made Easier: A commuter stipend to support the in-person collaboration that makes great work happen.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Life @ Pave
  <br/>
  <br/>
 </strong>
 Founded in 2019 with a clear purpose and a team that has never wavered from it, Pave has grown into a global force in compensation management &mdash; giving thousands of companies the tools to take
 <strong>
  control, build confidence, and earn credibility
 </strong>
 in every pay decision they make. And we're just getting started. Headquartered in San Francisco's Financial District, with regional hubs in New York City's Flatiron District, Salt Lake City, Krak&oacute;w (Poland), and the United Kingdom &mdash; wherever you're based, you'll find the same thing: people who genuinely care about the work, each other, and the customers that rely on Pave.
 <br/>
 <br/>
 We run a hybrid culture that brings teams together in person 3 to 4 days a week &mdash; and every Friday, the whole company gathers for our Team Sync: breakfast, new hire welcomes, product updates, fireside chats, and yes, the occasional Kahoot. It's one of the things people notice when they join us &mdash; that we truly enjoy spending time together.
 <br/>
 <br/>
 Our culture is shaped by five values we live every day:
 <br/>
 <br/>
 <ul>
  <li>
   Be Intellectually Honest &mdash; Truth over comfort. We face reality clearly and speak directly, even when it's hard.
  </li>
  <li>
   Play to Win &mdash; We're not here to participate. We're here to be the #1 compensation platform in the world, and we act like it.
  </li>
  <li>
   Uphold the Pave Platinum Standard &mdash; We hold ourselves to the highest bar &mdash; for our customers, our data, and each other.
  </li>
  <li>
   One Team &mdash; We win and lose together. Titles don't drive decisions here &mdash; shared goals do.
  </li>
  <li>
   Hug of Jawn &mdash; Hard to define, impossible to miss. Ask your recruiter.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Our Vision:
 </strong>
 Unlock a labor market built on trust.
 <br/>
 <br/>
 <strong>
  Our Mission:
 </strong>
 Build confidence in every compensation decision.
 <br/>
 <br/>
 We build software that transforms how companies pay their people &mdash; and we believe the team behind that software deserves the same thoughtfulness. If you're ready to help shape the future of compensation alongside people who are smart, humble, and genuinely motivated by the problem we're solving, we'd love to meet you.
 <br/>
 <br/>
 <em>
  Still deliberating? Just apply! We're always excited to meet people who are eager to contribute.
 </em>
</div>


Software Engineer - Core Platform

Databricks

<div><p>CSQ227R258</p>
<p>As a Big Data Solutions Architect (Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead.</p>
<p><b>The impact you will have:</b></p>
<ul><li>You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases</li>
<li>Work with engagement managers to scope variety of professional services work with input from the customer</li>
<li>Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications</li>
<li>Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.</li>
<li>Provide an escalated level of support for customer operational issues.</li>
<li>You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.</li>
<li>Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.</li>
</ul><p><b>What we look for:</b></p>
<ul><li>6+ years experience in data engineering, data platforms &amp; analytics</li>
<li>Comfortable writing code in either Python or Scala</li>
<li>Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one</li>
<li>Deep experience with distributed computing with Apache Spark&trade; and knowledge of Spark runtime internals</li>
<li>Familiarity with CI/CD for production deployments</li>
<li>Working knowledge of MLOps</li>
<li>Design and deployment of performant end-to-end data architectures</li>
<li>Experience with technical project delivery - managing scope and timelines.</li>
<li>Documentation and white-boarding skills.</li>
<li>Experience working with clients and managing conflicts.</li>
<li>Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.</li>
<li>Travel to customers 20% of the time</li>
<li>Databricks Certification</li>
</ul><p>As a Senior Big Data Solutions Architect (Sr Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead.</p>
<p><b>The impact you will have:</b></p>
<ul><li>You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases</li>
<li>Work with engagement managers to scope variety of professional services work with input from the customer</li>
<li>Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications</li>
<li>Consult on architecture and design; bootstrap hands-on projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.</li>
<li>Provide an escalated level of support for customer operational issues.</li>
<li>You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.</li>
<li>Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.</li>
</ul><p><b>What we look for:</b></p>
<ul><li>9+ years experience in data engineering, data platforms &amp; analytics</li>
<li>Comfortable writing code in either Python or Scala</li>
<li>Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one</li>
<li>Deep experience with distributed computing with Apache Spark&trade; and knowledge of Apache Spark&trade; runtime internals</li>
<li>Familiarity with CI/CD for production deployments</li>
<li>Working knowledge of MLOps</li>
<li>Capable of design and deployment of highly performant end-to-end data architectures</li>
<li>Experience with technical project delivery - managing scope and timelines.</li>
<li>Documentation and white-boarding skills.</li>
<li>Experience working with clients and managing conflicts.</li>
</ul><p>You will be part of the Professional Services team and work with clients on short to medium term customer engagements solving their big data problems using Apache Spark&trade; and the Databricks platform. You will be in a customer-facing role that requires deep hands-on expertise in Apache Spark&trade; and data engineering, along with a variety of knowledge of the big data ecosystem. You will guide our largest customers, implementing pipelines from data engineering through model building and deployment, plus other technical tasks to help customers to get value out of their data with Databricks. You will report to the regional Manager/Lead.</p>
<p><b>The impact you will have:</b></p>
<ul><li>You will guide customers as they implement transformational big data projects, including end-to-end development and deployment of industry-leading big data and AI applications</li>
<li>You will assure that Databricks best practices are being used within all projects and that our quality of service and implementation is strictly followed</li>
<li>You will facilitate technical workshops, discovery and design sessions, customer requirements gathering and scoping for new and existing strategic customers</li>
<li>Assist the Professional Services leader and project managers with level of effort estimation and mitigation of risk within customer proposals and statements of work</li>
<li>Architect, design, develop, deploy, operationalize and document complex customer engagements individually or as part of an extended team as the technical lead and overall authority</li>
<li>Knowledge transfer, enablement and mentoring of other team members, customers and partners, including developing reusable project artifacts</li>
<li>Provide experience to the consulting team, provide best practices in client engagement to other teams</li>
</ul><p><b>What we look for:</b></p>
<ul><li>4+ years experience in data engineering, data platforms &amp; analytics</li>
<li>Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP)</li>
<li>Comfort with object-oriented and functional programming in Scala and Python</li>
<li>Experience in building scalable streaming and batch solutions using cloud-native components</li>
<li>Strong knowledge of distributed computing with Apache Spark&trade;</li>
<li>Travel to customers 20% of the time</li>
<li>Nice to have: Databricks Certification</li>
</ul><div><div><div><p><b>Pay Range Transparency</b></p>
<p>Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.<br>
<br>
</p></div><div>Local Pay Range</div>
<div>$180,656&mdash;$248,360 USD
</div></div></div><div><p><b>About Databricks</b></p>
<p>Databricks is the data and AI company. More than 10,000 organizations worldwide &mdash; including Comcast, Cond&eacute; Nast, Grammarly, and over 50% of the Fortune 500 &mdash; rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark&trade;, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
<br>
<br>
<b>Benefits
</b><br>
<br>
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.<br>
<br>
<br>
</p><p><b>Our Commitment to Diversity and Inclusion</b></p>
<p>At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.</p>
<p><b>Compliance</b></p>
<p><b>If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.</b></p></div></div>

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