data engineer

data scientist

data analyst

senior data engineer

senior data scientist

data engineer gcs data science

Google

<div>
 Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.
 
 
 Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
 
 New York, NY, USA; Mountain View, CA, USA; San Francisco, CA, USA
 
 .
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
 </li>
 <li>
 1 year of experience designing data pipelines (ETL) and model data.
 </li>
 <li>
 Experience analyzing data and creating reports, and with database query (e.g., SQL) and visualization tools (e.g., Tableau, dashboards).
 </li>
 <li>
 Experience with one or more general purpose programming languages (e.g., Python, C/C++, Java).
 
 
 </li>
 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
 <li>
 Experience working in a data science environment, supporting feature engineering and model automation needs.
 </li>
 <li>
 Experience working with big data tools, distributed computing and non-relational databases.
 </li>
 <li>
 Structured thinking with ability to easily break down ambiguous problems and propose impactful data modeling designs.
 </li>
 <li>
 Passion for analyzing large and complex data sets and converting them into the information which drive business decisions.
 
 
 </li>
 </ul>
 
 About The Job
 
 
 
 The GCS Data Science team is working on challenging yet interesting problems for the GCS (Google Customer Solutions) division of Global Business Organization (GBO). Our goal is to build efficient and scalable ML models that help small and midsize businesses around the world to grow their business leveraging the power of Google solutions.
 
 
 The Data Science Engineering (DSet) subteam is responsible for supporting data engineering needs for the GCS Data Science teams including building new data pipelines, automation, observability and reporting tools.
 
 
 As a Data Engineer, you will take on big data challenges in an agile way. In this role, you will use an analytical, data-driven approach to drive a deep understanding of our fast changing business. You will build data pipelines and reporting tools that enable our data scientists, through feature engineering, automated data extracts and wrangling needs, and scaled insights for both the data science team and our users.
 
 
 Google Customer Solutions (GCS) sales teams are trusted advisors and competitive sellers who maintain a relentless focus on customer success by bringing the best Google has to offer to small- and medium-sized businesses (SMBs), which are the backbone of our communities. As a member of our team, you&rsquo;ll have the opportunity to work with company owners and make a real difference in their businesses by helping them grow. Together, we help shape the future of innovation for customers, partners, and sellers...and we have fun doing it.
 
 
 Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
 
 
 US: $106000 - $151000 (USD) + 15% bonus target + equity + benefits
 
 
 
 Responsibilities
 
 
 
 Learn more about benefits at Google .
 
 
 <ul>
 <li>
 Build data pipelines, reports, best practices and frameworks that enable analysts and other stakeholders across the organization.
 </li>
 <li>
 Use feature engineering to support data needs for ML/AI model development and subsequent scaling through ETL pipeline development.
 </li>
 <li>
 Recognize and adopt best practices in developing pipelines, analytical insights including data integrity, test design, analysis, validation and documentation.
 </li>
 <li>
 Design and develop scalable and actionable solutions (dashboards, automated collateral, web applications) that tell a story and provide insights to help our advertisers grow.
 </li>
 <li>
 Work closely with various stakeholders to understand feature/tooling gaps and innovate on behalf of our customers.
 
 
 
 </li>
 </ul>
 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>

Data Engineer, GCS Data Science

Revelio Labs

<div>
 Data Engineer at Revelio Labs, Inc., New York, NY (F/T)
 
 
 JOB DUTIES: Own and scale the companys infrastructure platform with a focus on large-scale data systems, container orchestration, and infrastructure automation. Architect and maintain high-performance infrastructure supporting large-scale distributed databases and real-time processing systems. Manage and optimize Kubernetes clusters (both on-premise and in cloud environments), including multi-tenant isolation, resource allocation, security, autoscaling, and application monitoring. Develop and maintain Infrastructure-as-Code (IaC) with full GitOps integration. Manage cloud infrastructure on AWS, including IAM roles, VPC networking, S3 storage policies, and integration with containerized workloads and external services. Design secure and scalable interfaces between cloud-native infrastructure and data platforms. Collaborate with data engineers and machine learning teams to build scalable data pipelines. Provide hands-on development of ETL jobs and data transformation workflows. Provide expert guidance on high availability, sharding, scaling strategies, storage engine internals, and performance tuning for diverse workloads. Own the full observability stack, including the design and maintenance of monitoring, logging, and alerting systems. Track and optimize infrastructure costs through usage-based metrics, implementing cost-efficient monitoring strategies, and proactively identify areas to cut waste across compute, storage, and network resources.
 
 
 JOB REQUIREMENTS: Position requires a Masters degree, or foreign equivalent, in Computer Science, Data Science, Data Analytics, Computer Engineering, or a closely related field, and completion of an internship (approx. 8-12 weeks) or equivalent experience. Full term of experience must include professional experience or internship experience in each of the following: Writing and debugging Python, Shell (Bash), and SQL code for use in infrastructure automation and data transformation workflows; Working with relational and NoSQL databases, including PostgreSQL and MySQL, to troubleshoot data issues, optimize query performance, and ensure data integrity for data pipelines; Implementing monitoring and troubleshooting processes to identify performance issues and ensuring data stability across infrastructure and data pipelines; Developing and maintaining CI/CD pipelines using GitHub Actions and YAML configurations to automate the building, testing, and deployment of Docker containers; and, Supporting cloud-based infrastructure by managing system configurations and updates through Git-based version control, containerization technologies, and laC.
 
 
 Telecommuting permitted from any U.S. location.
 
 
 SALARY: $160,000
 
 
 $200,000 per year
 
 
 QUALIFIED APPLICANTS: To apply, email resume to hannah@reveliolabs.com. Reference: Rev-9510813.
</div>

Data Engineer

Landing Point

<div>
 
 Company Overview:
 
 
 
 A global investment firm with a rich history in discretionary macro trading and significant capabilities in model-driven and systematic investment approaches is seeking a Software Engineer for their AI Team. This role will focus on evaluating, distributing, and maintaining AI tools across the firm.
 
 
 
 Job Responsibilities:
 
 
 
 <ul>
 <li>
 Establish, iterate, and educate on best practices for agentic engineering
 </li>
 <li>
 Create, manage, and maintain internal MCP servers
 </li>
 <li>
 Define and maintain security policies and data entitlements for agentic projects
 </li>
 <li>
 Migrate legacy workflows to agentic workflows
 </li>
 <li>
 Maintain and contribute to internal skills repository
 </li>
 <li>
 Contribute to multiple concurrent projects
 
 
 </li>
 </ul>
 
 Qualifications:
 
 
 
 <ul>
 <li>
 5+ years as a software engineer working with Python or Java
 </li>
 <li>
 Strong SQL or NoSQL skills
 </li>
 <li>
 Experience building and maintaining MCP servers
 </li>
 <li>
 Experience with containerization (Docker/Podman)
 </li>
 <li>
 Experience with CLI agentic coding tools (Claude Code, Gemini CLI, Copilot CLI)
 </li>
 <li>
 Deep understanding of how modern models work &ndash; how they are trained, how they generate content, what are their strengths and weaknesses
 </li>
 <li>
 Bachelor&rsquo;s or master&rsquo;s degree in computer science, engineering, physics, mathematics, or equivalent experience
 
 
 </li>
 </ul>
 
 Compensation:
 
 
 Salary:
 
 $150,000 &ndash; $250,000, Plus Bonus
 
 
 The post Software Engineer appeared first on Landing Point.
</div>

Software Engineer

The Museum of Modern Art

<div>The Museum of Modern Art is seeking an experienced Senior Data Engineer to be the technical owner of our data engineering team and the primary point of contact for departments and data analysts who rely on our data warehouse. This role guides and mentors the data engineers on technical standards and best practices, owns the relationship with stakeholders to make sure the data warehouse meets their needs, and serves as the resident expert on our data&mdash;how it is structured, how it relates, and how it should be used. This role requires a strong technical background, excellent problem-solving skills, and strong communication skills.

Responsibilities:
<ul>
<li>Serves as the technical anchor and mentor for the data engineering team, setting standards, reviewing work, and guiding design and architecture decisions.</li>
<li>Owns the relationship with other departments and data analysts, gathers their data needs, and ensures the data warehouse supports them.</li>
<li>Acts as the subject-matter expert on our data, advising analysts on how data is structured, how sources relate, and how best to query it.</li>
<li>Designs, develops, and maintains the data warehouse in Google Cloud Platform (GCP), ensuring scalability, performance, and reliability.</li>
<li>Builds and manage robust ELT pipelines to extract, transform, and load data from various sources into the data warehouse.</li>
<li>Defines and maintains data models that make data consistent and easy to understand for analysts and business users.</li>
<li>Manages and maintains databases, including MS SQL Server and PostgreSQL, ensuring data integrity and security.</li>
<li>Develops and maintains small software applications to support data management tasks and improve operational efficiency.</li>
<li>Collaborates with stakeholders to gather data requirements and translate them into technical solutions.</li>
<li>Troubleshoots data-related issues and provides timely solutions to ensure data availability and accuracy.</li>
<li>Stays up-to-date with the latest data engineering technologies and best practices, and shares them with the team.</li>
<li>Performs any other duties reasonably related to the functions described above.</li>
</ul>
Requirements:
<ul>
<li>Bachelor's or Master's degree in Computer Science or a related field.</li>
<li>Minimum of four years of experience as a Data Engineer with a strong understanding of data warehousing concepts and best practices.</li>
<li>Ability to guide and mentor other engineers and influence technical direction.</li>
<li>Proven experience partnering with analysts and stakeholders to understand their needs and translate them into data solutions.</li>
<li>Strong data modeling skills and the ability to explain how data relates and how it should be used.</li>
<li>Hands-on experience with GCP cloud services, including BigQuery, Cloud Storage, and Dataflow.</li>
<li>Proficiency in SQL and experience with database management systems such as MS SQL Server and PostgreSQL.</li>
<li>Experience building and maintaining ETL pipelines using tools like Apache Airflow or Google Cloud Composer.</li>
<li>Proficiency with Python and pandas.</li>
<li>Experience with other programming languages and paradigms such as C#, nodeJS and Ruby.</li>
<li>Knowledge of managing Linux and Windows servers.</li>
<li>Experience with data modeling and data visualization tools.</li>
<li>Experience with software development methodologies such as Agile.</li>
<li>Familiarity with version control systems like Git.</li>
<li>Excellent problem-solving and analytical skills.</li>
<li>Strong communication and collaboration skills.</li>
</ul>
Reports to: Director of Engineering

Salary Range: Minimum of $140,000 to a maximum of $160,000 per annum

Application instructions: To apply, please visit MoMA Jobs (https://recruiting.ultipro.com/MUS1002MOMA/JobBoard/9dbfa465-a36a-46c3-b31e-4929830ab266/?q=&amp;o=postedDateDesc). Applicants should submit a resume and a cover letter/statement of interest. Applications without cover letters will not be considered.

Equal Employment Opportunity has been, and will continue to be, a fundamental principle at the Museum, where employment is based upon personal capabilities and qualifications without discrimination because of race, color, religion, sex, age, national origin, disability, pregnancy, genetic information, military or veteran status, sexual orientation, gender, gender identity or expression, marital and civil partnership/union status, alienage or citizenship status, creed, genetic predisposition or carrier status, unemployment status, familial status, domestic violence, sexual violence or stalking victim status, caregiver status, arrest or conviction record to the extent required by applicable law, credit history, or any other protected category as established by applicable law, including the New York City Human Rights Law (&ldquo;NYCHRL&rdquo;).
Equal Opportunity Employer 
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights (https://www.eeoc.gov/poster) notice from the Department of Labor.</div>

Senior Data Engineer

BetterUp

<div>
 
 Let&rsquo;s face it, a company whose mission is human transformation better have some fresh thinking about the employer/employee relationship.
 
 
 
 We do. We can&rsquo;t cram it all in here, but you&rsquo;ll start noticing it from the first interview.
 
 
 Even our candidate experience is different. And when you get an offer from us (and accept it), you get way more than a paycheck. You get a personal BetterUp Coach, a development plan, a trained and coached manager, the most amazing team you&rsquo;ve ever met, and most importantly, work that matters.
 
 
 
 Join us and we promise you the most intense and fulfilling years of your career, doing life-changing work in a fun, inventive, soulful culture.
 
 
 
 If that sounds exciting&mdash;and the job description below feels like a fit&mdash;we really should start talking.
 
 
 
 We are a hybrid company with a focus on in-person collaboration when necessary. Employees are expected to be available to work from one of our office hubs at least two days per week, or eight days per month. Our US hub locations include: Austin, TX; New York City, NY; San Francisco, CA; and the Washington, DC metro area. Please ensure you can realistically commit to this structure before applying.
 
 
 
 
 The Opportunity
 
 
 
 BetterUp&rsquo;s GTM Data &amp; Operations team is investing in the infrastructure, intelligence, and automation that powers our go-to-market engine. As an AI / Data Engineer (P3), you will sit at the intersection of data engineering and applied AI&mdash;building the pipelines, models, and systems that help our Sales, Marketing, and Customer Success teams move faster, make smarter decisions, and drive measurable business impact. This is a high-impact role for someone who thrives when technology and strategy meet.
 
 
 
 What You&rsquo;ll Do
 
 
 
 
 Data Engineering &amp; Infrastructure
 
 
 
 <ul>
 <li>
 Design, build, and maintain scalable data pipelines that serve clean, reliable data across the GTM stack.
 </li>
 <li>
 Own and evolve our data warehouse architecture (Snowflake) to support GTM analytics, reporting, and AI workloads.
 </li>
 <li>
 Establish and enforce data quality standards, documentation practices, and governance frameworks to ensure trustworthy data at scale.
 </li>
 <li>
 Develop and maintain dbt models, SQL transformations, and Python scripts that power self-serve reporting and downstream analysis.
 </li>
 <li>
 Define and track key GTM metrics, ensuring consistent definitions and reliable data pipelines that support executive and board-level reporting.
 
 
 </li>
 </ul>
 
 Applied AI for GTM
 
 
 
 <ul>
 <li>
 Develop and deploy AI tools for high-impact GTM use cases including lead scoring, pipeline forecasting, churn prediction, and customer segmentation.
 </li>
 <li>
 Partner with Sales, Marketing, and RevOps stakeholders to identify where AI can automate workflows, surface insights, and unlock new capacity.
 </li>
 <li>
 Integrate LLMs and generative AI tooling into GTM systems to streamline operations and accelerate decision-making.
 </li>
 <li>
 Measure and iterate on created systems, translating outputs into actionable tools that are accessible to non-technical stakeholders.
 </li>
 <li>
 Lead cross-functional efforts to integrate AI into core GTM workflows, ensuring adoption across direct and neighboring teams.
 </li>
 <li>
 Coach teammates through AI adoption, helping them build new capabilities and overcome resistance to change.
 
 
 </li>
 </ul>
 
 If You Have Some or All of the Following, Please Apply
 
 
 
 
 Required
 
 
 
 <ul>
 <li>
 3&ndash;5 years of experience in data engineering, analytics engineering, GTM engineering or applied AI roles.
 </li>
 <li>
 Strong proficiency in Python and SQL.
 </li>
 <li>
 Experience building and maintaining data pipelines, reverse ETL workflows and working with modern cloud data warehouses (Snowflake, BigQuery, or Redshift).
 </li>
 <li>
 Familiarity with agentic coding tools (Claude Code, Cursor, etc.).
 </li>
 <li>
 Familiarity with GTM tools and ecosystems (Salesforce, Hubspot, Clay, etc.).
 </li>
 <li>
 Demonstrated ability to build and deploy models (lead scoring, forecasting, classification) in a business context.
 </li>
 <li>
 Experience integrating data and AI into CRM and/or marketing automation platforms (Salesforce, HubSpot, Marketo, etc.).
 </li>
 <li>
 Familiarity with BI tools such as Looker or Hex for dashboard development and self-serve analytics.
 </li>
 <li>
 Familiarity with software engineering principles and tools (version control, CI/CD, testing, code review, Github etc.)
 </li>
 <li>
 Systems-level thinking with the ability to trace data and logic across multiple platforms (e.g., HubSpot &rarr; Salesforce &rarr; Snowflake &rarr; BI layer) and understand how changes in one system ripple across the stack.
 </li>
 <li>
 Strong communication skills with the ability to translate complex technical work into business impact.
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Data Science, Engineering, or a related field&mdash;or equivalent practical experience.
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Prior experience in a Revenue Operations or GTM Analytics function at a B2B SaaS company.
 </li>
 <li>
 Hands-on experience building with LLMs or deploying generative AI solutions in a production environment.
 </li>
 <li>
 Hands-on experience with decoupled or "headless" semantic layers (Cube, Snowflake Cortex etc.)
 </li>
 <li>
 Track record of working in a high-growth startup or scale-up environment where priorities evolve quickly.
 </li>
 <li>
 Hands-on experience with dbt for data transformation.
 
 
 </li>
 </ul>
 
 AI at BetterUp
 
 
 
 Our team thrives at the intersection of human expertise and AI capability. As an AI-forward company, adaptation and continuous learning are part of our daily work. We&rsquo;re looking for teammates who are excited to evolve alongside technology&mdash;people who experiment boldly, share their discoveries openly, and help define best practices for AI-augmented work.
 
 
 
 As an AI / Data Engineer, you will be expected to:
 
 
 
 <ul>
 <li>
 Lead cross-functional efforts to integrate AI into core GTM workflows, ensuring adoption across direct and neighboring teams.
 </li>
 <li>
 Set measurable AI improvement objectives based on functional strategy with minimal manager direction.
 </li>
 <li>
 Ensure failed AI experiments generate documented learnings that inform future decisions and prevent rework.
 </li>
 <li>
 Make decisions about AI processes and tools that impact your direct team, neighboring teams, and cross-functional partners.
 </li>
 <li>
 Re-architect team processes to incorporate AI at scale&mdash;automated reporting, intelligent workflow routing, systems building.
 
 
 </li>
 </ul>
 
 During our interview process, you&rsquo;ll have opportunities to showcase how you harness AI to learn, iterate, and amplify your impact. We encourage all candidates to share examples of how they&rsquo;ve used AI tools in their work.
 
 
 
 
 Benefits
 
 
 
 At BetterUp, we are committed to living out our mission every day and that starts with providing benefits that allow our employees to care for themselves, support their families, and give back to their community.
 
 
 <ul>
 <li>
 Access to BetterUp coaching; one for you and one for a friend or family member
 </li>
 <li>
 A competitive compensation plan with opportunity for advancement
 </li>
 <li>
 Medical, dental, and vision insurance
 </li>
 <li>
 Flexible paid time off
 </li>
 <li>
 All federal/statutory holidays observed
 </li>
 <li>
 4 BetterUp Inner Work Days
 </li>
 <li>
 5 Volunteer Days to give back
 </li>
 <li>
 Learning and Development stipend
 </li>
 <li>
 Company wide Summer &amp; Winter breaks
 </li>
 <li>
 Year-round charitable contribution of your choice on behalf of BetterUp
 </li>
 <li>
 401(k) self contribution
 
 
 </li>
 </ul>
 
 We are dedicated to building diverse teams that fuel an authentic workplace and sense of belonging for each and every employee. We know applying for a job can be intimidating, please don&rsquo;t hesitate to reach out&mdash;we encourage everyone interested in joining us to apply.
 
 
 
 BetterUp Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, disability, genetics, gender, sexual orientation, age, marital status, veteran status. In addition to federal law requirements, BetterUp Inc. complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
 
 
 At BetterUp, we compensate our employees fairly for their work. Base salary is determined by job-related experience, education/training, residence location, as well as market indicators. The range below is representative of base salary only and does not include equity, sales bonus plans (when applicable) and benefits. This range may be modified in the future.
 
 
 
 Base Salary Range For This Role Is
 
 
 
 $133,000- $185,000
 
 
 
 We value your privacy. Your personal data will be processed in accordance with our
 
 
 Privacy Policy
 
 
 . If you have any questions about the privacy of your personal data or your rights with regards to your personal data, please reach out to
 
 
 support@betterup.co
 
 
 
</div>

AI Data Engineer

Vistar Media

<div>Vistar Media is the home of out-of-home (OOH). As a global ad tech company and the world's largest digital out-of-home (DOOH) advertising marketplace, we offer technology designed to make buying and selling OOH media easier. Our goal is simple: to help the world's marketers leverage OOH's unique ability to motivate and delight.
From strategic partnerships with major media owner networks to executing impactful campaigns with renowned global brands such as Nestl&eacute;, Porsche, Target, and Levi's, our team is filled with passionate, innovative, and collaborative problem solvers, engaging and entertaining consumers like you in the real world. Find your home in out-of-home - find your people at Vistar.
As of January 2025, Vistar Media was acquired by T-Mobile and is now part of T-Mobile Advertising Solutions. By combining our DOOH expertise with T-Mobile&rsquo;s unique customer insights and expansive omnichannel capabilities, we&rsquo;re creating new opportunities to innovate at scale and make a meaningful impact on the future of out-of-home media.
At T-Mobile Advertising Solutions (T-Ads), we're building privacy-first advertising and data products powered by advanced machine learning, large-scale data processing, and cloud technologies. Our proprietary algorithms enable rich consumer insights, intelligent audience solutions, and measurable performance for advertisers while maintaining a strong commitment to consumer privacy.
 
 
We are adding a creative and motivated Senior Data Engineer to join our team, where you&rsquo;ll use modern technologies in big data, cloud, and metadata. As a tech-first product company, the work you do will have a direct impact on our customers and the business. You'll work closely with other engineers, data scientists, and product managers, gaining a holistic understanding of how our systems come together. 
 
We adhere to structured design principles inspired by Lean Development, and we encourage continuous learning and growth. As part of our team, you'll enjoy mentoring, brainstorming, and pairing up to tackle ambitious challenges. Our supportive culture fosters a collaborative atmosphere where everyone can thrive.<ul><li>
Job Responsibilities:<ul><li>
Design and develop data engineering solutions that enable data pipelines, visualization, and analytical tools to support business requirements.</li><li>
Innovate, implement, support, and iterate on scalable big data pipelines and ETL processes.</li><li>
Write robust, efficient, and highly maintainable code in Python, Spark and Scala.</li><li>
Contribute to team knowledge sharing and drive the advancement of new data engineering capabilities.</li><li>
Assist technical, product, and operational leaders in project definition, including estimating, planning, and scoping work to meet objectives.</li><li>
Also responsible for other duties/projects as assigned by business management as needed</li></ul> 
Education and Work Experience:<ul><li>
Bachelor's Degree plus 5 years of related work experience OR Advanced degree with 3 years of related experience (Required)</li><li>
Acceptable areas of study include Computer Engineering, Computer Science, a related subject area (Required)</li><li>
4-7 years Hands-on implementation and architectural familiarity with streaming data, relational and non-relational databases, and distributed processing technologies. (Required)</li><li>
4-7 years Designing and developing advanced data engineering tasks in Python, SQL, Spark, and related Python libraries (e.g., pandas, scikit-learn, scipy, numpy). (Required)</li><li>
4-7 years Advanced knowledge in building complex data pipelines and cloud bases services (GCP) to support robust and scalable infrastructure (Airflow, Kafka). (Required)</li></ul> 
Knowledge, Skills and Abilities:<ul><li>
Strong background in software engineering, large-scale data and algorithms, cloud architecture, and design thinking. (Required)</li><li>
Experience with production-level engineering around GIS and geospatial data processing. (Preferred)</li><li>
Familiarity with DevOps practices and tools for DataOps.</li><li>
Ability to work quickly and precisely, capturing requirements and designing before implementation.</li><li>
Knowledge of Google BigQuery and tools for solving data-centric problems and working with graph datasets and databases.</li></ul></li></ul>
Base Pay Range: $105,100 - $189,600<div></div> 
Corporate Bonus Target: 15%
The pay range above is the general base pay range for a successful candidate in the role. The successful candidate&rsquo;s actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay will vary within this range.<div></div> 
At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Most Corporate employees are eligible for a year-end bonus based on company and/or individual performance and which is set at a percentage of the employee&rsquo;s eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance. To find the pay range for this role based on hiring location, https://paylookup.t-mobile.com/paylookup?reqID=REQ353917&para;dox=1
If you&rsquo;re ambitious, highly driven, and interested in making an impact, Vistar is the place for you. Apply to join our team&hellip; we&rsquo;ll see you out there.</div>

Senior Data Engineer, Big Data and Cloud

<div>Company Description 
Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We&rsquo;re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes.
Sia&rsquo;s AI &amp; Data Business Unit is the powerhouse of our firm&rsquo;s innovation&mdash;merging cutting-edge Data Science, Generative AI, and advanced digital solutions to transform industries. With over 350 experts worldwide, we tackle projects from proof-of-concept to large-scale deployment, always pushing the boundaries of AI capabilities. Our 12 R&amp;D labs in Europe and North America drive continuous research in areas like computer vision, MLOps, and deep learning, partnering closely with our business consultants for real-world impact. By joining Sia&rsquo;s AI &amp; Data team, you&rsquo;ll step into a vibrant, collaborative environment that nurtures professional growth and empowers you to shape the future of AI-driven consulting. 
Job Description 
To support its growth, Sia is recruiting a Data Scientist Consultant with a strong interest in Risk, Compliance and Regulatory topics and challenges.
Reporting to Sia's Data Science teams, your role is to support our clients' operational teams and compliance departments in defining their data needs, analyzing their data, deploying data science algorithms, and AI agents and providing strategic decision support.
These engagements require the implementation of complex analyses to support our clients, notably in:<ul><li>
Forward-Deployed Engineering</li><li>
Generative AI, Machine Learning &amp; Statistics</li><li>
Data Analysis for strategic support</li><li>
Data Engineering &amp; DevOps</li><li>
Data Transformation &amp; Acculturation</li></ul>
A few examples of engagements:<ul><li>
Predictive compliance risk monitoring: Building automated data pipelines and dashboards to track operational metrics and forecast the future health of compliance workstreams, enabling proactive risk identification and mitigation.</li><li>
AI-powered regulatory intelligence: Designing and deploying a GenAI-driven system that monitors regulatory change in real time, structures obligations, maps them automatically to internal policies and controls, scores compliance gaps, and orchestrates remediation workflows - all with a full source-of-truth audit trail for compliance, risk, and legal teams.</li><li>
Analytics/ML models for AML compliance: Built and refined ML models to automate due diligence and ID verification workflows, reducing manual review time. Managed third-party data integration and collaborated with Legal and Engineering to ensure compliant deployment.</li></ul>
As part of the firm's internal activities, your contribution will focus on the following areas:<ul><li>
Developing or strengthening our offerings through training, working groups, and internal/external materials.</li><li>
Our publication strategy (sector blogs, studies, press coverage). \</li><li>
Business development, by contributing to the definition of client needs and participating in sales activities.</li></ul>
Key Responsibilities:<ul><li>
Partner with our clients' leadership teams, engineers, program managers, and data analysts to understand data needs.</li><li>
Identify, acquire, process, and explore relevant data sources.</li><li>
Analyze large amounts of structured and unstructured information to discover trends and patterns.</li><li>
Use your data analytics and data science expertise to derive valuable insights from datasets, and build predictive models and machine learning algorithms.</li><li>
Design, build, fine-tune, and deploy LLM-based systems using models such as GPT, Claude, Gemini, Llama, and Mistral.</li><li>
Develop GenAI-powered applications (self-managed and API-based) that meet real business needs and comply with applicable regulations (GDPR, EU AI Act, model licenses).</li><li>
Design and optimize prompting strategies (few-shot, Chain/Tree-of-Thought, ReAct, self-reflection, guardrails) to improve reliability and control.</li><li>
Communicate at scale through multiple mediums: presentations, dashboards, datasets, bots, and more.</li><li>
Propose solutions and strategies to business challenges.</li><li>
Collaborate with engineering and product development teams.</li><li>
Work across a broad range of partners and projects, delivering models, algorithms, datasets, measurements, services, tools, and processes.</li></ul> 

Qualifications 
<ul><li>
Master's degree or Engineering degree (or equivalent) in Computer Science, Engineering, Data Science, or a related quantitative field.</li><li>
2+ years of experience as a Data Scientist or Data Analyst.</li><li>
Strong programming skills, particularly Python and SQL.</li><li>
Proficiency in at least one major GenAI application framework (LangChain, LlamaIndex, etc.).</li><li>
Experience with cloud platforms (AWS, Azure, or GCP).</li><li>
Knowledge of both proprietary and open-source model ecosystems (OpenAI, Anthropic, Mistral AI, Hugging Face, etc.).</li><li>
Excellent communication skills, with the ability to explain complex technical concepts simply.</li></ul>
Preferred technical experience:<ul><li>
Experience building agentic AI systems.</li><li>
Good understanding of machine learning techniques.</li><li>
Good understanding of statistical techniques and concepts.</li><li>
Experience with data visualization tools.</li><li>
Experience developing conversational AI systems / chatbots.</li><li>
Understanding of or experience with protocols and standards for connecting LLMs to external tools and databases, such as the Model Context Protocol (MCP).</li><li>
Experience deploying models at scale in production environments.</li></ul>
Preferred industry sector experiences<ul><li>
Regulatory Obligations Management: Analyze and document legal/regulatory requirements to maintain and update the client's RCM obligations library</li><li>
Control Design &amp; Implementation: Design and implement operational controls and compliance frameworks to ensure regulatory adherence</li><li>
Risk Assessment &amp; Testing: Lead RCSAs, thematic reviews, and control testing to identify compliance and operational gaps</li><li>
Regulatory Analysis &amp; Strategy: Interpret emerging regulatory trends and enforcement actions to inform compliance strategy</li><li>
Compliance Best Practices: Develop and maintain compliance best practices</li><li>
Regulatory Interpretation &amp; Controls Mapping: Interpret laws and regulations to assess applicability and map obligations to controls</li><li>
Risk &amp; Compliance Transformation: Support transformation engagements across first-line (controls design/testing) and second-line (risk, compliance) functions</li></ul> 

Additional Information 
Compensation &amp; Benefits
Sia invests in total rewards that support how our people work, live, and grow.
Compensation<ul><li>
Base Salary: $95,000-116,000. Actual compensation within this range will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by applicable law.</li><li>
Annual Performance Bonus</li></ul>
Benefits<ul><li>
Medical, dental, and vision; company-paid life and AD&amp;D; voluntary supplemental insurance and EAP</li><li>
401(k) with company match and immediate vesting; HSA and FSA options</li><li>
College savings and student loan repayment programs</li><li>
Paid parental leave; generous PTO, nine company holidays, and one floating holiday</li><li>
Cell phone stipend; well-being and professional development programs</li></ul>
Benefits are subject to applicable plan terms and eligibility requirements.
Workplace 
Sia values in-person collaboration. When serving clients, consultants may be required to work onsite at a client location based on engagement needs. Between client engagements, consultants are expected to work from a Sia office or approved coworking location at least three days per week. Candidates should reside within a reasonable commuting distance of a Sia office or approved coworking location. Sia maintains offices and coworking arrangements across multiple U.S. markets, including New York City, Charlotte, Greater Seattle, San Francisco Greater Bay Area, Los Angeles, Houston, Atlanta, Baltimore, Chicago, Washington D.C.
Work Authorization
Applicants must be legally authorized to work in the United States at the time of application and throughout their employment. This position is not eligible for employment visa sponsorship now or in the future.
Our Commitment
At Sia, we believe in fostering a diverse, equitable, and inclusive culture where our employees and partners are valued and thrive in a sense of belonging.<div></div>
Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.</div>

Consultant – Compliance Data Science & AI

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