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data scientist, product analytics Jobs in New York

data scientist, product analytics

data engineer

Shields Group Search

<div>
 
 
 Data Engineer
 
 
 
 
 Hybrid in NYC
 
 
 
 
 Full-Time
 
 
 
 
 $175,000-$225,000 base + upside depending on experience
 
 
 
 
 
 
 
 About the Company
 
 
 
 Shields Group Search is partnering with an innovative private banking and wealth infrastructure company building modern tools for modern clients. Their platform is designed to help private investors access liquidity more easily while driving transparency into historically opaque markets, including fine art and commercial real estate.
 
 
 
 
 
 They are hiring a
 
 Data Engineer
 
 to help build a world-class data infrastructure that supports the modernization of private banking for independent wealth managers and family offices. This person will be responsible for designing, building, and maintaining robust data pipelines, ETL processes, and data warehousing solutions that enable analytics and drive insights across the platform.
 
 
 
 
 
 You will work closely with engineering and product teams to architect scalable, reliable data systems. The stack includes
 
 Python, SQL, cloud data warehousing platforms, and modern data engineering tooling
 
 .
 
 
 
 
 
 
 About the Role
 
 
 
 This position reports directly to the
 
 Head of Engineering
 
 . The ideal candidate will have meaningful educational and/or professional experience designing and implementing scalable data systems, building ETL pipelines, and writing clean, maintainable, well-tested code.
 
 
 
 
 
 This team is looking for someone who is genuinely excited to spend most of their day coding and building scalable systems, while also contributing architectural input. They would strongly prefer someone in
 
 NYC
 
 , and
 
 2-3 days per week in-office
 
 should be expected. They also want someone who is comfortable building with and using
 
 agentic systems
 
 . This is not the right fit for someone optimizing primarily for work/life balance.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Participate in the full software development life cycle from planning to deployment
 </li>
 <li>
 Design and build scalable ETL/ELT pipelines to ingest, transform, and load data from multiple sources
 </li>
 <li>
 Collaborate with the team to design, develop, unit test, and support new features
 </li>
 <li>
 Strive for high quality and rapid output through agile software development best practices
 </li>
 <li>
 Architect data warehouses and data lakes, optimizing for query performance and cost efficiency
 </li>
 <li>
 Perform code reviews and provide constructive feedback to peers
 </li>
 <li>
 Maintain and improve the tech stack
 </li>
 <li>
 Develop flexible and well-structured data pipelines and data warehouse schemas
 </li>
 <li>
 Implement effective security protocols, data protection measures, and storage solutions
 </li>
 <li>
 Troubleshoot, debug, and upgrade software
 </li>
 <li>
 Ensure software meets all requirements of quality, security, and configurability
 </li>
 <li>
 Contribute to documentation, tests, and automation pipelines
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Software Engineering, or a related field
 </li>
 <li>
 Minimum of 3 years of experience in data engineering, ETL development, or analytics engineering, ideally within fintech or financial services
 </li>
 <li>
 Advanced proficiency in Python and SQL for data pipeline development and analysis
 </li>
 <li>
 Familiarity with CI/CD tools
 </li>
 <li>
 Experience with data warehousing platforms such as Snowflake, BigQuery, Redshift, or similar, as well as modern ETL tools
 </li>
 <li>
 Strong knowledge of the software development lifecycle
 </li>
 <li>
 Experience with testing and debugging
 </li>
 <li>
 Proficient understanding of code versioning tools such as Git
 </li>
 <li>
 Excellent problem-solving skills and attention to detail
 </li>
 <li>
 Excellent communication and teamwork skills
 </li>
 <li>
 Ability to work independently and take initiative
 </li>
 <li>
 Willingness and ability to build with agentic systems in a practical, hands-on way
 </li>
 </ul>
 
 
 
 
 
 Why This Role
 
 
 
 This is an opportunity to help architect a state-of-the-art platform and partner with an experienced leadership team during a period of rapid development. The team has additional flexibility on compensation for stronger candidates, with total base salary landing closer to
 
 $200,000-$225,000
 
 for candidates with more experience.
 
</div>

Data Engineer

Sunset

<div>
 
 About Sunset
 
 
 
 Sunset is building the data layer for real-world AI training. We work with frontier labs to turn messy, multi-modal enterprise data into the highest-quality training data on the market &mdash; sourced from the hundreds of venture-backed startups we've helped wind down.
 
 
 We're a fast-growing team based in-person in Dumbo, Brooklyn. Backed by Floodgate, Afore Capital, Hustle Fund, and incredible entrepreneurs.
 
 
 
 The Role
 
 
 
 As a Data Engineer at Sunset, you'll own the pipeline that turns raw, chaotic enterprise data into the highest-quality training data on the market. One of our core technical challenges is entity resolution and de-identification across different sources and modalities. An even deeper challenge is understanding the node structures and linkages well enough to effectively reconstruct the business world this data comes from. All of this happens on sensitive data, which means security and privacy aren't a separate workstream but are built into every pipeline, system, and decision we make.
 
 
 
 What You'll Work On
 
 
 
 You'll own problems end-to-end. Some examples of what you might tackle in your first 90 days:
 
 
 <ul>
 <li>
 Designing the de-identification layer that replaces PII with stable pseudonyms while preserving every relationship across every source
 </li>
 <li>
 Building coreference resolution across Slack threads, email chains, and Linear comments so that "me," "him," and first-name mentions all resolve to the right canonical entity
 </li>
 <li>
 Hardening how we ingest, store, and process sensitive client data &mdash; from encryption and access controls to audit trails and isolation boundaries
 </li>
 <li>
 Extending our entity resolution pipeline to handle new modalities &mdash; think audio, video, design files, or embedded references inside documents
 
 
 </li>
 </ul>
 
 You Might Be a Fit If
 
 
 
 <ul>
 <li>
 You are a product minded engineer and have shipped data pipelines at scale
 </li>
 <li>
 You have strong Python and are comfortable across NER, record linkage, and coreference
 </li>
 <li>
 You take security and privacy seriously and have built systems where getting it wrong wasn't an option
 </li>
 <li>
 You want to own a hard, ambiguous problem end-to-end rather than wait for a PRD
 </li>
 <li>
 AI is deeply integrated into your workflow and life
 
 
 </li>
 </ul>
 
 This Role Might Not Be a Fit If
 
 
 
 <ul>
 <li>
 You want to work remote or hybrid &mdash; we're in-person 5 days/week in Dumbo
 </li>
 <li>
 You want to do novel ML research &mdash; this role is applied, not research
 </li>
 <li>
 You prefer long planning cycles or narrow ownership
 
 
 </li>
 </ul>
 
 Our Stack
 
 
 
 Python, Postgres, Redis, AWS. We pick tools based on the problem, not the other way around.
 
 
 
 Compensation &amp; Benefits
 
 
 
 <ul>
 <li>
 $180K&ndash;$280K base + meaningful equity
 </li>
 <li>
 100% covered medical, dental, and vision
 </li>
 <li>
 Unlimited PTO
 </li>
 <li>
 $500 in-office setup allowance
 
 
 </li>
 </ul>
 
 How We Hire
 
 
 
 <ul>
 <li>
 Intro Chat (20 min) &ndash; mutual fit and interests
 </li>
 <li>
 Technical Session (1hr) &ndash; collaborative problem-solving
 </li>
 <li>
 Onsite (2&ndash;3 hrs) &ndash; product deep dive, system design, meet the team
 </li>
 <li>
 Quick references &rarr; Offer
 
 
 </li>
 </ul>
 Compensation Range: $180K - $280K
 
 
</div>

Stuut Technologies

<div>
 Stuut is transforming accounts receivable for B2B companies&mdash;making collections smarter and faster for companies that have historically relied on manual processes that are labor intensive and costly. Our platform is gaining traction with finance teams across industrials, chemicals, and manufacturing sectors from Fortune 10 brands to scaling midmarkets. We're backed by top-tier investors including a16z, Khosla, Activant, 1984 Ventures and Page One.
 
 
 
 The Role
 
 
 
 We are hiring a Data Engineer to build the data foundation that powers Stuut's intelligence layer. You'll work closely with our product and engineering teams to transform raw financial data into actionable insights that help our customers get paid faster. This is a foundational role, you'll be our first data hire, which means you'll shape everything from our data architecture to how we think about analytics.
 
 
 This is a high-impact role for someone who can think strategically about data infrastructure while rolling up their sleeves to build pipelines, models, and systems from scratch. You'll translate messy data into clean, reliable datasets that drive product decisions, customer insights, and business growth. If you've ever wanted to own the entire data stack at a fast-growing company, this is it.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Build and own our data infrastructure from the ground up, design pipelines that ingest, transform, and model data from customer ERPs, payment processors, and internal systems
 </li>
 <li>
 Partner with product and engineering to embed data quality and observability into everything we ship
 </li>
 <li>
 Create the analytics foundation that helps our customers understand payment patterns, collection trends, and cash flow predictions
 </li>
 <li>
 Implement DataOps best practices to ensure our data is timely, accurate, and trusted across the organization
 </li>
 <li>
 Collaborate with leadership to define KPIs, build dashboards, and surface insights that drive strategic decisions
 </li>
 <li>
 Scale our data platform as we grow from dozens to hundreds of customers, anticipating needs before they become bottlenecks
 
 
 </li>
 </ul>
 
 You Might Be a Fit If You&hellip;
 
 
 
 <ul>
 <li>
 Have 3+ years of hands-on experience building production data pipelines using Python
 </li>
 <li>
 Know your way around SQL and modern data warehouses; bonus if you've worked with Snowflake, BigQuery, or Redshift
 </li>
 <li>
 Have experience implementing ETL/ELT workflows at scale using tools like Airflow, dbt, or similar
 </li>
 <li>
 Understand data modeling fundamentals and can design schemas that balance performance with flexibility
 </li>
 <li>
 Have worked with messy, real-world data from SaaS APIs, databases, or third-party integrations
 </li>
 <li>
 Thrive in ambiguity and get energized by building something new rather than inheriting someone else's stack
 </li>
 <li>
 Care deeply about data quality and believe that great analytics start with great infrastructure
 </li>
 <li>
 Have experience (or strong interest) in fintech, B2B SaaS, or financial data, understanding AR/AP workflows is a big plus
 
 
 </li>
 </ul>
 
 Compensation
 
 
 
 <ul>
 <li>
 Top-of-market salary and equity package
 </li>
 <li>
 Benefits (for U.S.-based full-time employees)
 </li>
 <li>
 Medical, dental &amp; vision insurance coverage for you
 </li>
 <li>
 401(k) &amp; Match
 </li>
 <li>
 Equity
 </li>
 <li>
 Flexible PTO
 </li>
 <li>
 Parental Leave
 
 
 </li>
 </ul>
 Compensation Range: $135K - $190K
 
 
</div>

FanDuel

<div>
 
 THE POSITION
 
 
 
 Our roster has an opening with your name on it
 
 
 FanDuel is looking for a Data Support Engineer to advance our data capabilities and ensure the reliability and performance of our critical data pipelines and infrastructure. FanDuel's competitive edge is enabled by our ability to leverage accurate and timely data for informed decision-making.
 
 
 As a Data Support Engineer, you will be a valued member of the Data Support team, maintaining exceptional standards and servicing the needs of data consumers across the company. You will ensure the health of our data infrastructure, contribute to the delivery of reliable, timely, and consumable data, and combine technical troubleshooting with proactive monitoring. You'll have the opportunity to work in an agile environment where you will team up with colleagues having experience in data engineering, machine learning and more.
 
 
 In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs.
 
 
 
 THE GAME PLAN
 
 
 
 Everyone on our team has a part to play
 
 
 <ul>
 <li>
 Provide on-call technical assistance to analysts, data consumers, and data engineering teams, responding to inquiries relating to query optimization, reporting anomalies, complex data pipeline issues, failed jobs, and data inconsistencies.
 </li>
 <li>
 Investigate and resolve data quality issues in response to system alerts or notifications from stakeholders, ensuring compliance with internal/external audits and control practices.
 </li>
 <li>
 Design and implement batch and real-time data pipelines to the data warehouse or data lake using data transformation technologies, enhancing monitoring dashboards and support tools.
 </li>
 <li>
 Lead impactful initiatives to enhance data pipelines and other data operations capabilities while mentoring and onboarding new support data engineers. Identify operational inefficiencies and implement automation solutions to reduce manual intervention.
 </li>
 <li>
 Create and maintain technical support documentation, including FAQs, troubleshooting steps, support runbooks, and a knowledge base of solutions to recurring issues.
 </li>
 <li>
 Drive operational best practices and shape workflows for routine consumer support, operations monitoring, incident management, and problem management.
 </li>
 <li>
 Administer account access to tools across the technology stack in accordance with our governance policies.
 
 
 
 </li>
 </ul>
 Able to join team's On-call Pager duty rotation to ensure 24/7 coverage and timely response to critical data issues.
 
 
 
 THE STATS
 
 
 
 What we're looking for in our next teammate
 
 
 <ul>
 <li>
 Minimum of 3+ years of experience in data engineering with focus on operational support
 </li>
 <li>
 Advanced SQL skills with proven query optimization experience
 </li>
 <li>
 Strong problem-solving skills with ability to take ownership and accountability for issues through resolution
 </li>
 <li>
 Python programming proficiency for automation and data processing
 </li>
 <li>
 Experience with cloud data platforms (AWS, Databricks, Spark)
 </li>
 <li>
 Understanding of data warehousing and ETL/ELT processing
 </li>
 <li>
 Experience with dimensional data modeling, batch data ingestion, and real-time technologies like Kafka or Kinesis
 </li>
 <li>
 Working knowledge of orchestration and monitoring tools (Airflow, Datadog, Databand, DataFold, Monte Carlo, Prometheus, Grafana)
 </li>
 <li>
 Strong incident management and root cause analysis capabilities
 </li>
 <li>
 Customer-oriented mindset with focus on delivering high-quality support services and attention to detail
 </li>
 <li>
 Exceptional communication and interpersonal skills
 </li>
 <li>
 Proven ability to work effectively within teams and across organizational boundaries
 </li>
 <li>
 Experience owning and coordinating issues across multiple time zones
 </li>
 <li>
 Experience identifying operational inefficiencies and implementing automation solutions using AI techniques
 
 
 
 </li>
 </ul>
 Preferred Qualifications:
 
 
 <ul>
 <li>
 Experience with data streaming patterns and tools like Dbt
 </li>
 <li>
 Familiarity with CI/CD practices for data pipelines (BuildKite or Github Actions)
 </li>
 <li>
 Familiarity with data visualization tools such as Tableau or Looker
 </li>
 <li>
 Exposure to database design, performance analysis, and data quality metrics
 </li>
 <li>
 Exposure to Data Science, Machine Learning, and AI applications
 
 
 
 </li>
 </ul>
 
 About Fanduel
 
 
 
 FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America&rsquo;s #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry&rsquo;s unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product.
 
 
 In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico.
 
 
 The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company&rsquo;s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia.
 
 
 FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).
 
 
 
 Player Benefits
 
 
 
 We treat our team right
 
 
 We offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits. We offer generous paid time off (PTO &amp; sick leave), annual bonus and long-term incentive opportunities (based on performance), 401k with up to a 5% match, commuter benefits , pet insurance, and more - check out all our benefits here:
 
 FanDuel Total Rewards
 
 . *Benefits differ across location, role, and level.
 
 
 FanDuel is an equal opportunities employer and we believe, as one of our principles states, &ldquo;We are One Team!&rdquo;. As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or any other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included.
 
 
 
 
 The applicable salary range for this position is $116,000 - $152,250 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws.
 
 
 
 
 
 
 FanDuel is committed to providing reasonable accommodations for qualified individuals with disabilities. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please email Benefits@fanduel.com.
 
 
 
 
 
 
 It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
 
 
 
 
</div>

Slang AI

<div>
 
 
 Slang AI is redefining customer engagement through conversational AI, making every interaction seamless and efficient. Our mission is to transform the restaurant industry by providing the ultimate voice AI solution for consistently outstanding customer experiences.
 
 
 
 
 
 
 
 At Slang AI, we believe how we build matters just as much as what we build. We foster a culture rooted in hospitality, ownership, and clarity, where every &ldquo;Slangsta&rdquo; feels valued, supported, and connected to the broader impact of our work in the AI-powered future of restaurants.
 
 
 
 
 
 
 Overview
 
 
 
 
 
 We're looking for a
 
 
 
 Data Analytics Engineer
 
 
 
 to join our data team and help build and scale our analytics infrastructure from ingestion to dashboard. You'll build and maintain the pipelines, transformations, and reporting layers that the rest of the company relies on to understand our product, our customers, and our business. This role sits at the intersection of data engineering and BI analytics, and the right person will be equally comfortable writing complex SQL transformations and presenting a clean dashboard to stakeholders.
 
 
 
 
 You'll work closely with product engineering to instrument new features, maintain the business logic behind our core metrics, and keep our data warehouse performant and cost-efficient. There's also real opportunity to push into real-time data infrastructure as the platform evolves, including streaming pipelines and event-driven metric delivery for production services.
 
 
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 
 Build and maintain analytics pipelines in BigQuery using dbt Cloud, including staging, transformation, and mart layers
 
 </li>
 <li>
 
 Manage and configure Airbyte ingestion streams and Hightouch reverse ETL syncs
 
 </li>
 <li>
 
 Partner with product engineering to ensure new features follow our event-driven instrumentation methodology and emit the right data from day one
 
 </li>
 <li>
 
 Define and maintain business logic for metrics construction, serving as the source of truth for how key metrics are calculated
 
 </li>
 <li>
 
 Build, update, and maintain internal dashboards in Looker Studio
 
 </li>
 <li>
 
 Build and maintain BigQuery datasets, views, and scheduled queries
 
 </li>
 <li>
 
 Monitor and optimize query performance and warehouse costs, proactively identifying opportunities to reduce spend
 
 </li>
 <li>
 
 Design and implement data backup and redundancy strategies
 
 </li>
 <li>
 
 Make occasional updates to the customer-facing dashboard layer in the product (TypeScript)
 
 </li>
 <li>
 
 Perform ad-hoc data analysis and produce one-off data pulls for customers as needed
 
 </li>
 <li>
 
 Identify recurring data requests and build automated, self-serve solutions to replace manual fulfillment
 
 </li>
 <li>
 
 Investigate BigQuery continuous queries for publishing metrics to Cloud Pub/Sub, enabling product engineering services to consume analytics data in near real-time
 
 </li>
 <li>
 
 Evaluate Cloud Dataflow for real-time and low-latency data processing use cases as the platform's needs evolve
 
 
 
 </li>
 </ul>
 
 
 
 
 
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 
 5+ years of experience in data engineering, BI analytics, or software engineering
 
 </li>
 <li>
 
 Expert-level SQL skills, particularly in BigQuery or comparable cloud data warehouses
 
 </li>
 <li>
 
 Hands-on experience with dbt (dbt Cloud preferred) for managing transformation pipelines
 
 </li>
 <li>
 
 Experience with data ingestion tools such as Airbyte, Fivetran, or similar
 
 </li>
 <li>
 
 Experience with reverse ETL tools such as Hightouch or Census
 
 </li>
 <li>
 
 Working knowledge of Python for data scripting, automation, and ad hoc analysis
 
 </li>
 <li>
 
 Experience building and maintaining dashboards in Looker Studio or similar BI tools
 
 </li>
 <li>
 
 Strong understanding of event-driven data instrumentation and how analytics contracts should be defined alongside product features
 
 </li>
 <li>
 
 Track record of optimizing data warehouse costs and query performance
 
 </li>
 <li>
 
 Comfort working directly with engineering teams to define data requirements and instrumentation standards
 
 
 
 </li>
 </ul>
 
 
 
 
 
 
 Nice to Haves
 
 
 
 <ul>
 <li>
 
 Experience with GCP data services beyond BigQuery (Cloud Dataflow, Pub/Sub, Cloud Functions)
 
 </li>
 <li>
 
 Familiarity with TypeScript or Kotlin
 
 </li>
 <li>
 
 Experience building or contributing to customer-facing analytics features within a product
 
 </li>
 <li>
 
 Prior work with streaming or real-time data architectures
 
 </li>
 <li>
 
 Experience implementing data quality testing frameworks (e.g., dbt tests, Great Expectations, or similar)
 
 </li>
 <li>
 
 Familiarity with data governance practices, including documentation, lineage tracking, and access controls
 
 </li>
 <li>
 
 Experience working at a fast-growing startup where you owned the data stack end to end
 
 
 
 </li>
 </ul>
 
 
 
 
 
 
 Location
 
 
 
 
 
 New York City
 
 
 
 
 
 
 
 
 
 
 
 
 
 Compensation &amp; Location
 
 
 
 
 
 
 Compensation for this role is location-based and benchmarked against local market data aligned to the employee&rsquo;s primary work location. Total compensation includes a mix of cash and equity and may vary by location, role level, and experience. Our range is therefore wide and not meant as&nbsp;a negotiation range.&nbsp;
 
 
 
 
 
 
 
 
 
 Our Vision
 
 
 
 
 
 
 Calling a business shouldn&rsquo;t feel like a robot-hostage situation, where you&rsquo;re forced to listen to horrible music and can't reach a human, while enduring a soulless voice uttering "I'm sorry I didn't quite get that" on repeat for eternity. (shudder)&nbsp;
 
 
 That&rsquo;s why we started&nbsp;
 
 
 Slang
 
 
 AI&nbsp;
 
 
 We use the latest AI and audio wizardry to make transacting via voice so enjoyable it&rsquo;s more human than human. By 2030, we will save businesses and consumers 1 billion minutes of precious time while transforming voice channels into the preferred mode of communication (it's faster and easier than text).
 
 
 
 
 We have backgrounds building product at companies like Spotify, Buzzfeed, the New York Times, and OpenTable &mdash;shipping experiences that have reached hundreds of millions of users. Now, we&rsquo;re using our backgrounds to start a new culture, one that puts product and human-centered design above all else while fostering constant learning and growth. Sound like something you&rsquo;d like to be part of? Get on board.
 
 
 
 
 
 
 
 
 
 Our Values&nbsp;
 
 
 
 
 
 
 
 Overachiever Fever.
 
 
 
 &nbsp;We&rsquo;re overachievers (we don&rsquo;t know any other way)
 
 
 
 
 
 Learner Fervor.&nbsp;
 
 
 
 We take every opportunity to learn (especially when it&rsquo;s hard)&nbsp;
 
 
 
 
 
 Humility Ability.
 
 
 
 &nbsp;We approach each other with curiosity and openness (know-it-alls not welcome!)
 
 
 
 
 
 SMB MVP.&nbsp;
 
 
 
 We&rsquo;re an expert member of our customers&rsquo; teams (we earn their trust)
 
 
 
</div>

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
Amazon Web Services (AWS) is a dynamic and rapidly growing business within Amazon and the leader in providing secure, reliable, scalable, and innovative services that help over a million businesses, governments, education, and not for profits across the globe scale and grow! AWS provides a wide set of scalable services to meet customer needs. 
 
At AWS, the Global Deal Strategy and Programs (GDSP) team drives cloud adoption and business growth through innovative pricing strategies. The organization comprises two specialized teams: Strategic Customer Engagements, which guide ** transformative deals with industry leaders, and Private Pricing Programs &amp; Experiences, which scales and optimizes pricing solutions across our diverse customer base. Within GDSP, you will develop deep expertise in cloud economics, hone your strategic thinking, and directly impact AWS's market leadership while working with latest technologies and global clients. 
 
The AWS Global Deal Strategy and Programs (GDSP) organization is responsible for the Private Pricing Program. The Private Pricing Analytics and Insights (PPA&amp;I) team owns building scalable analytical solutions that enable the GDSP organization with actionable insights to make data-driven decisions. This role will focus on Data Engineering, and Analytics related to the Private Pricing Program, requiring deep technical skills, strong business acumen and a deep analytical background to provide actionable data-driven insights and decision support. 
 
As a Data Engineer on this team, you will drive efficiency in data handling processes, setup product analytics, drive advanced analysis and build new metrics which are key inputs to improve the health, scale and growth of the Private Pricing Program. You will work collaboratively with the business leaders operations, and engineering teams on many non-standard and unique business problems and support business initiatives by collecting required and related data from external/internal sources. 
 
The ideal candidate should have strong communication skills and ability to prioritize effectively to ensure timelines are met. You will own projects from engaging with customers to production and delivery of a suite of tools used by the organization to make key business decisions. You should be a self-starter, comfortable with ambiguity, able to think big and be creative (while still paying careful attention to detail). You think in terms of architecture, not just code. You proactively work to improve the consistency and integration between your team&rsquo;s BI solutions and any related systems or artifacts. 
 
Key job responsibilities 
Design, develop, and maintain scalable data solutions for metrics, reports, analyses, and dashboards that support analytical and business needs 
 
Collaborate with technology teams to extract, transform, and load data from diverse sources using AWS services and internal tools 
Build and deliver high-quality datasets that support data science initiatives and customer reporting requirements 
 
Automate and optimize reporting processes to enable self-service analytics for stakeholders 
Translate business problem statements into technical analysis requirements 
 
Apply analytical and statistical rigor to answer business questions and drive data-driven decisions 
Develop measurement frameworks that quantify customer experience and drive business outcomes 
 
Create queries and visualizations for ad-hoc requests, projects, and ongoing reporting needs 
Write efficient, optimized queries with deep knowledge of data structures and query optimization techniques 
 
Adopt best practices in reporting and analysis including data integrity, design, validation, and documentation 
 
Troubleshoot operational data quality issues and audit existing data pipelines and queries 
 
Recommend improvements to back-end data sources for increased accuracy and simplicity<h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>3+ years of data engineering experience</li><li>1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience</li><li>1+ years of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies experience</li><li>1+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience</li><li>1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience</li><li>1+ years of developing and operating large-scale data structures for business intelligence analytics using Oracle experience</li><li>Experience with data modeling, warehousing and building ETL pipelines</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions</li><li>Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, NY, New York - 145,300.00 - 196,600.00 USD annually 
USA, TX, Austin - 132,100.00 - 178,800.00 USD annually 
USA, WA, Seattle - 132,100.00 - 178,800.00 USD annually</div>

Data Engineer, AWS GDSP A&I

BlackRock

<div>
 
 About This Role
 
 
 
 Join a diverse and collaborative team of over 300 modelers and technologists in Aladdin Financial Engineering (AFE) within BlackRock Solutions, the business responsible for the research and development of Aladdin&rsquo;s financial models. This group is also accountable for analytics production, enhancing the infrastructure platform and delivering analytics content to portfolio and risk management professionals (both within BlackRock and across the Aladdin client community). The models developed and supported by AFE span a wide array of financial products covering equities, fixed income, commodities, derivatives, and private markets. AFE provides investment insights that range from an analysis of cash flows on a single bond, to the overall financial risk associated with an entire portfolio, balance sheet, or enterprise.
 
 
 
 Role Description
 
 
 
 We are looking for a person to join the Advanced Data Analytics team within AFE Single Security. Advanced Data Analytics is a team of Quantitative Data Specialists, focused on delivering Research &amp; Derived Data, Governance and Research Platform. The team leverages data, cloud, and emerging technologies to deliver research and production data/data solutions, for core analytics and investment teams, in the Single Security space. The team uses various statistical/mathematical methodologies to derive insights and generate content to help develop predictive models, clustering, and classification solutions and enable Governance. The team works on Mortgages, Structured Products, Credit Products, and Private Markets.
 
 
 We are looking for a person to work on our Structured Product space as well as focus on public structured products. The individual will contribute as SME on structured products. The person will leverage Big Data technologies, Data platforms like Snowflake, Databricks to build out comprehensive analytics offering backed by enhanced data as well as leverage AI for efficiency and agentic automation. The person will partner with Investment teams and clients to help generate Investment Intelligence.
 
 
 
 Experience
 
 
 
 <ul>
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 Strong analytical and problem-solving skills
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 Excellent communication t abilities.
 </li>
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 Experience in Scala &amp; Functional Programming
 </li>
 <li>
 Knowledge of ETL, data curation and analytical jobs
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 Experience leveraging distributed computing framework with Spark
 </li>
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 Basic knowledge of financial instruments like Bonds, Derivatives etc.
 </li>
 <li>
 Basic knowledge of statistical methodologies
 </li>
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 Knowledge and Experience of working with large enterprise databases like Snowflake, Cassandra
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 <li>
 Experience in cloud managed services like Dataproc, Databricks is a plus
 </li>
 <li>
 Experience in Python is a plus
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s/master's in computer science with a minor in Math, Econ, or related field
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 <li>
 3+ years of relevant experience
 
 
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 </ul>
 For New York, NY Only the salary range for this position is USD$137,500.00 - USD$170,000.00 . Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance.
 
 
 
 Our Benefits
 
 
 
 To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.
 
 
 
 Our hybrid work model
 
 
 
 BlackRock&rsquo;s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person &ndash; aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.
 
 
 
 About BlackRock
 
 
 
 At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children&rsquo;s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.
 
 
 This mission would not be possible without our smartest investment &ndash; the one we make in our employees. It&rsquo;s why we&rsquo;re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.
 
 
 For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock
 
 
 BlackRock is proud to be an equal opportunity workplace. We are committed to equal employment opportunity to all applicants and existing employees, and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law.
 
 View the
 
 
 EEOC&rsquo;s Know Your Rights poster and its supplement
 
 
 and the
 
 
 pay transparency statement.
 
 
 
 BlackRock is committed to full inclusion of all qualified individuals and to providing reasonable accommodations or job modifications for individuals with disabilities. If reasonable accommodation/adjustments are needed throughout the employment process, please email Disability.Assistance@blackrock.com. All requests are treated in line with our
 
 privacy policy
 
 .
 
 
 BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.
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Data Engineer, Associate - Aladdin Financial Engineering

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Data Engineer, Associate - Aladdin Financial Engineering