Data engineer jobs in Puyallup, WA - 3,043 jobs

Grow With Us at Blue Fern Blue Fern Development, a privately held real estate developer, is actively seeking an experienced software developer for its technology team. This is an excellent opportunity to join a nationally awarded and recognized, fast-growing company with a strong history, a broad future, and an excellent corporate culture. You will be an essential part of a winning team with a proven record of successful real estate development and management. Role & Responsibilities: Our top candidate will have extensive experience in back end engineering, ETL and data pipelines, Linux systems administration, data-intensive web applications, and SQL databases. In addition, candidates with working knowledge of public and private real estate and financial data, GIS, machine learning, agentic workflows and ML model training will be considered favorably. In your new role, you will be based at the corporate office in Redmond, WA, and report to the Chief Product Officer. Please Note: This is a Monday-Thursday, 8am-7pm office position located in Redmond, WA. This role is expected to complete the following tasks: Architect, develop, and maintain high-performance ETL and data pipeline solutions Design and scale distributed data processing systems using Apache Spark and Scala Utilize 3+ years of professional Rust programming for backend and systems-level development with 5+ years JVM experience Build and maintain RESTful or event-based backends in JavaScript and Node.js (5+ years) Optimize and administer PostgreSQL or similar SQL databases for data-intensive applications (5+ years) Manage and troubleshoot Linux systems, including deployment and security configuration Contribute to web applications as needed; full stack development is a plus Skills & Qualifications Minimum 7+ years of total professional software engineering experience High-level proficiency with Apache Spark & Scala (hands-on experience designing and deploying distributed workloads) 3+ years hands-on experience with Rust in production environments 5+ years hands-on experience with JavaScript (Node.js) in backend services 5+ years building ETL/data pipelines; deep SQL knowledge (PostgreSQL or similar) Strong Linux systems administration background Web application development skills (bonus) Bachelor's degree in Computer Science, Engineering, or equivalent 2+ years professional experience leveraging AI products (ChatGPT, Gemini, Claude, CoPilot) and coding assistants (GitHub, Cursor, Cline). Compensation & Benefits In addition to a competitive annual salary, bonus, and raise potential, Blue Fern offers a comprehensive benefit package, savings plan with a company match, cellphone reimbursement, paid holidays, vacation time, continued training, advancement opportunities and much more. About Blue Fern Development Blue Fern Development is a privately held land development firm with a strong track record across a range of asset classes and investment structures. Our collaborative approach creates high-value deals that benefit all stakeholders. By bringing together diverse perspectives, expertly navigating complexities and maximizing returns, we ensure every deal runs smoothly. Backed by a team of industry-leading professionals, Blue Fern combines deep expertise with a proprietary process to identify and capitalize on promising opportunities nationwide. Our extensive network of local market experts adds to this advantage. Their in-depth knowledge about community landscapes and priorities ensures smart, strategic decision making. As an independent company, Blue Fern is built for agility. We can step in at any project phase to drive momentum and minimize delays. Our flexible process and results-driven strategies continue to deliver valuable outcomes for our partners and the communities we serve. Blue Fern Management LLC is an equal opportunity employer. Blue Fern Management LLC does not discriminate against any candidate or employee on the basis of race, national origin, sex, marital status, sexual orientation, age, disability, religion or veteran status.

About the Team The data analytics team will be responsible for data analysis of TikTok e-commerce's US ecom logistics operations Responsibilities 1. Responsible for data analysis of TikTok e-commerce's US logistics operations 2. Maintain & improve operation performance index; assist top management to monitor the weekly and bi-monthly operation performance; analyze results using statistical techniques and provide ongoing reports 3. Cooperate with logistics team to set strategy, e.g. Fulfillment network design, warehouse efficiency optimization, capacity management 4. Follow-up data analysis of operation teams in several overseas markets, support operation and provide optimization suggestions 5. Cooperate with Products and ETL teams to define system requirements, build data products, improve and roll-out product features to support business Minimum Qualifications: * Degree holder in Logistics and Supply Chain Management, Operation Research, Mathematics, Statistics, Computer Science * Proficient in SQL and familiar with Python or R Preferred Qualifications: * Experience in US logistics or US E-Commerce site fulfillment process (Amazon FBA/SFP; Ebay/Walmart/Shopify) is a strong plus * At least 5 years of working experience in logistics or supply-chain related data modeling analysis; Familiar with fulfillment network design, inventory management, US logistics carrier optimization * High energy, self-motivation and ability to work independently in a fast-growing environment

We are seeking experienced Data Scientists to join our team and drive impact across various product areas. As a Data Scientist, you will collaborate with cross-functional partners to identify and solve complex problems using data and analysis. Your role will involve shaping product development, quantifying new opportunities, and ensuring products bring value to users and the company. You will guide teams using data-driven insights, develop hypotheses, and employ rigorous analytical approaches to test them. You will tell data-driven stories, present clear insights, and build credibility with stakeholders. By joining our team, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond. **Required Skills:** Data Scientist (Technical Leadership) Responsibilities: 1. Work with complex data sets to solve challenging problems using analytical and statistical approaches 2. Apply technical expertise in quantitative analysis, experimentation, and data mining to develop product strategies 3. Identify and measure success through goal setting, forecasting, and monitoring key metrics 4. Partner with cross-functional teams to inform and execute product strategy and investment decisions 5. Build long-term vision and strategy for programs and products 6. Collaborate with executives to define and develop data platforms and instrumentation 7. Effectively communicate insights and recommendations to stakeholders 8. Define success metrics, forecast changes, and set team goals 9. Support developing roadmaps and coordinate analytics efforts across teams **Minimum Qualifications:** Minimum Qualifications: 10. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 11. Mathematics, Statistics, Operations Research) 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab) 12. 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development 13. Experience working effectively with and leading complex analytics projects across multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance 14. Experience with predictive modeling, machine learning, and experimentation/causal inference methods 15. Experience communicating complex technical topics in a clear, precise, and actionable manner **Preferred Qualifications:** Preferred Qualifications: 16. 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy 17. Masters or Ph.D. Degree in a quantitative field 18. Bachelor's Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research) 19. 10+ years of experience doing complex quantitative analysis in product analytics **Public Compensation:** $210,000/year to $281,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: **Building the future of Disney's media:** Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. **Reach, Scale & Impact:** More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News...and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. **Innovation:** We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Ad Platforms is responsible for Disney's industry-leading ad technology and products - driving advertising performance, innovation, and value in Disney's sports, news, and entertainment content, across all media platforms. The research/AI fleet is the dedicated AI/ML and data science arm of the Ad Platform organization. Its mission is to advance AI and machine learning capabilities across Ad Platform by delivering scalable, high impact AI/ML and data science solutions that enhance Ad decisioning, forecasting, experimentation and Ad experience. We are seeking a Lead Data Scientist to join this innovative team. This role is a critical leadership opportunity for a seasoned data science professional who thrives at the intersection of advanced analytics, machine learning, and business strategy. As a Lead Data Scientist, you will spearhead analytical initiatives that shape the future of advertising technology. You will be responsible for designing and executing data science solutions that drive measurable impact across ad decisioning, forecasting, experimentation, and user experience optimization. WHAT YOU'LL DO + Drive innovation and apply data science and statistical analysis in a variety of areas to enhance every aspect of advertising, including inventory forecasting, ad experience, ad pacing, pricing, targeting, and efficient ad delivery. + Translate business questions into data science framework; develop data analysis and data models for complex ad challenges with fast turnaround. + Define and evaluate key metrics in various product areas. + Deliver data insights and provide data-driven recommendations to cross-team stakeholders. + Design and analyze A/B tests for machine learning algorithm iterations. + Establish strong partnership with stakeholders, including product managers, engineers and program managers, in a collaborative environment. + Mentor team members and support their technical growth. WHAT TO BRING + Bachelor's (MS or PhD preferred) in Computer Science, Software Engineering, or a related field + At least 7 years of relevant industry experience in data science at leading internet companies. Experience in the advertising domain is preferred. + Solid knowledge of data science and statistics. Strong communication skills and business acumen. + Proficient in SQL, Python, Java, or R. Familiar with Tableau, and/or other visualization tools. + Passionate about understanding the ad business, applying data science to relevant business scenarios, and seeking innovation opportunities to enhance business effectiveness. + Passionate about technology and experienced in building data-driven services and applications. + A proven track record of thriving in a fast-paced, data-driven, and collaborative work environment is required. NICE-TO-HAVES + Experience in digital video advertising or digital marketing domain + Experience with machine learning models. + Experience with Airflow, data warehouse, Databricks or Sagemaker \#DISNEYTECH The hiring range for this position in Los Angeles, CA area is $155,700 - $208,700 per year and Seattle Area is $163,100 - $218,700. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. **Job ID:** 10137363 **Location:** Seattle,Washington **Job Posting Company:** Disney Entertainment and ESPN Product & Technology The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, email Candidate.Accommodations@Disney.com with your request. This email address is not for general employment inquiries or correspondence. We will only respond to those requests that are related to the accessibility of the online application system due to a disability.

Job Description We are looking for a talented Data Scientist skilled in Python and SQL. In this role, you will analyze large datasets, develop predictive models, and derive actionable insights that will guide business decisions. Requirements Proven experience as a Data Scientist or a similar role, with a strong focus on data analysis and modeling. Proficiency in programming languages, especially Python, and strong SQL skills for database management and querying. Experience with statistical analysis techniques and data visualization tools (e.g., Tableau, Matplotlib, Seaborn). Familiarity with machine learning frameworks and libraries (e.g., Scikit-learn, TensorFlow). Strong analytical skills and the ability to work with large datasets to extract meaningful information. Experience in data preprocessing, feature engineering, and model evaluation. Excellent problem-solving abilities and strong communication skills to present findings effectively. A degree in Computer Science, Mathematics, Statistics, or a related field is preferred. Benefits About Us We specialize in Digital, ERP, and larger IT Services. We offer flexible, efficient and collaborative solutions to any organization that requires IT, experts. Our agile, agnostic, and flexible solutions will help you source the IT Expertise you need. If you are looking for new opportunities, send your profile at ***************************. Also follow our LinkedIn page for new job opportunities and more. Zone IT Solutions is an equal opportunity employer and our recruitment process focuses on essential skills and abilities. We encourage applications from a diverse array of backgrounds, including individuals of various ethnicities, cultures, and linguistic backgrounds, as well as those with disabilities.

Job Description Required Qualifications: Job Title: Senior Data Scientist Job Responsibilities: Hands-on developer in building models in complex data environments with unambiguous requirements and enjoys data. Advance causal inference techniques to improve outage predictions measurement, including uplift modeling, propensity scoring, and Bayesian methods. Develop forecasting models to predict outages performance, resource allocation impacts, and long-term customer impacts for operations teams. Enhance ad testing methodologies, including A/B testing, synthetic control experiments, and incrementally testing, to measure efficiency accurately. Optimize operational team decisioning, using reinforcement learning, Bayesian optimization, and econometric modeling. Work closely with data engineers to scale and automate model deployment, integrating ML solutions into production environments. Required Qualifications: Bachelor's Degree Quantitative Field (math, statistics, economics, computer science, physics, engineering, etc.) (Required) Master's/Advanced Degree Quantitative Field (math, statistics, economics, computer science, physics, engineering) (Preferred) Proven experience in Fault Prediction models, with a focus on attribution modeling, causal inference, and model mix optimization. Strong background in machine learning, fault metrics, and statistical modeling RAN applications. Expertise in Python, SQL, and cloud platforms (Azure, Snowflake, Databricks) for scalable modeling and data processing. Experience with experimental design and incrementality testing in telecom RAN networking subject areas. Ability to communicate complex data science concepts to both technical and non-technical stakeholders, influencing business decisions Powered by JazzHR rVIbJYYB0f

Focus America Inc Hello Folks ! We are on an active lookout for Senior Big Data resources for one of our direct clients. Please drop me your updated resumes if you think you are a fit I will call you to help connect you with your dream Job. Java+ Big Data consultant with expertise in AWS Location: Orlando,FL or Seattle, WA Duration: 6 months extendable Interview Process: 3 Skype rounds JD • The skills are to help me build the Data Management Cloud Platform: • Looking for Engineers who have experience in Java, AWS Cloud, BigData/Data Management knowledge, Experience in automation and or building CICD pipelines. • Experience in Java, AWS, Big Data is critical • Experience in Dockers, Terraform, Jenkins, Python is optional • 10-12+ years of experience in Core Java with alteast 4 years of experience in Big Data Job Description The skills are to help me build the Data Management Cloud Platform: • Looking for Engineers who have experience in Java, AWS Cloud, BigData/Data Management knowledge, Experience in automation and or building CICD pipelines. • Experience in Java, AWS, Big Data is critical • Experience in Dockers, Terraform, Jenkins, Python is optional • 10-12+ years of experience in Core Java with alteast 4 years of experience in Big Data Qualifications The skills are to help me build the Data Management Cloud Platform: • Looking for Engineers who have experience in Java, AWS Cloud, BigData/Data Management knowledge, Experience in automation and or building CICD pipelines. • Experience in Java, AWS, Big Data is critical • Experience in Dockers, Terraform, Jenkins, Python is optional • 10-12+ years of experience in Core Java with alteast 4 years of experience in Big Data Additional Information All your information will be kept confidential according to EEO guidelines.

Who we are In the past, to be a successful restaurateur, you simply had to have a passion for food and a passion for people - but to succeed as a digital restaurateur you also need to have a passion for technology. We believe in the joy of serving others, and that's why we created Otter - to help restaurateurs succeed in online food delivery. Restaurants around the world, both large and small, including Chick-fil-A, Ben & Jerry's, KFC, and Eataly trust our software to power their delivery business. We increase sales, reduce order issues, and decrease delivery headaches. What you'll do Design, build, and maintain scalable batch data pipelines using SQLMesh (or equivalents such as DBT) for robust, reliable data delivery. Own our OLAP data storage strategy and implement performant solutions for data access. Develop and optimize relational data models to support analytical and operational needs. Implement and monitor data quality strategies to ensure accuracy and consistency of delivered datasets. Build internal platform tooling to streamline pipeline development, deployment, and monitoring. Partner closely with business and analytics teams to gather requirements and translate them into effective pipeline logic. Promote best practices in batch data engineering, data governance, and infrastructure optimizations. What we're looking for Experience designing and implementing batch data pipelines with SQLMesh, DBT, or similar frameworks. Strong skills in SQL and relational data modeling concepts. Proficiency in Python, Java, and/or other languages used for pipeline orchestration and platform tooling. Familiarity with data quality approaches and monitoring in modern data platforms. Collaborative mindset with ability to work closely with business and technical stakeholders to define logic. Excellent problem-solving and communication skills, able to translate complex technical ideas to non-technical audiences. Why join us Demand for online food delivery is growing really fast! In the last 5 years, just in the US, the overall market has expanded 10X from $10B to $100B, and could expand to $500bn- $1T by 2030. Changing the restaurant industry: You'll be part of a team that helps restaurants succeed in online food delivery. Collaborative environment: You will receive support and guidance from experienced colleagues and managers, helping you to learn, grow and achieve your goals, and you'll work closely with other teams to ensure our customer's success. What else you need to know This role is based in our Seattle office. As a company driven by innovation and continuous change, close collaboration is essential. We're constantly reimagining our industry, creating new products, and refining our processes, and we do our best work together. That's why all of our office-based teams work onsite, five days a week. The base salary range for this role is $167,000 - $230,000 Actual compensation will be determined on an individual basis and may vary depending on experience, skills, and qualifications.You may also be eligible for equity awards and an annual performance-based bonus. Benefits Summary (USA Full-Time Exempt Employees): Medical, dental, and vision insurance (multiple plans, incl. HSA options). Company-paid life and disability insurance (short- and long-term). Voluntary insurance: accident, critical illness, hospital indemnity. Optional supplemental life insurance for self, spouse, and children. Pet insurance discount. 401(k). Time Off policies: Discretionary vacation days 8 paid holidays per year Paid sick time Paid Bereavement leave Paid Parental Leave Health Savings Account (HSA) Flexible Spending Accounts (Healthcare, Dependent Care, Commuter) Ready to join us as we serve those who serve others? #LI-Onsite

Sonsoft , Inc. is a USA based corporation duly organized under the laws of the Commonwealth of Georgia. Sonsoft Inc. is growing at a steady pace specializing in the fields of Software Development, Software Consultancy and Information Technology Enabled Services. we have a multi locations : Chicago, IL / New York, NY / San Francisco, CA / Seattle, WA Job Description :- Domain - Retail and/or CPG domain Knowledge Retail Execution - Demand Forecasting/Inventory Management/Supply Chain, CRM, Sales and Operation, Procurement Analytics Knowledge - Clustering, Segmentation, Campaign Analytics, Loyalty Management, Forecasting Data Understanding of Sales, Inventory, Store, Product and Promotion Data Ability to translate business requirement to analytical model Communicate directly with business users Technical Skills -SQL, Advanced Excel, R/SAS Nice to have Skill/Competency: Hadoop, Spark, Python Tableau/Spotfire/Qlikview Nielsen/IRI/Market Research Data understanding Job responsibilities: Understand business requirement from client and translate it to appropriate Analytics use cases Work in a team environment to deliver analytics solution to client Define new business metrics as required and build measurement systems as needed Enjoy designing, develop and deploy state of the art, data-driven predictive models Adept in quick starting optimization options to solve business problems using latest technologies in data mining and statistical modeling, Advise clients & internal teams on the right analytics algorithm, platforms and approaches to take in addressing complex, open-ended business problems. Travel may be required as per the job requirements. Qualifications Basic Qualifications :- Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. At least 7 years of experience with Information Technology or Business Intelligence/Analytics consulting. Additional Information Note:- This is a Full-Time & Permanent job opportunity for you. Only US Citizen, Green Card Holder, GC-EAD, H4-EAD & L2-EAD can apply. No OPT-EAD, H1B & TN candidates please. Please mention your Visa Status in your email or resume.

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. Millions of people across the world come to Pinterest to find new ideas every day. It's where they get inspiration, dream about new possibilities and plan for what matters most. Brands and products are a critical piece of this journey, enabling Pinners to move easily from inspiration to action and advertisers to realize value in connecting with users with high commercial intent. As Pinterest continues to scale, we need insightful analyses and actionable recommendations to help maximize value to both Pinners and advertisers. Tasked with such vision, we are looking for data scientists to jump start Pinterest's Marketing Science team. You will take end-to-end ownership of designing, researching, building, and delivering data products as well as collaborate with XFNs to formulate, experiment, and evolve Pinterest's best practice guides to advertiser performance. You will support strategic planning, marketing events, earnings releases, and other efforts with powerful data narratives. What you'll do: Research and analyze what drives performance on our platform for advertisers. Monitor key trends in ads performance to identify and scale platform-level improvement opportunities and/or flag and mitigate risks of reduction. Equip the business with data-backed recommendations that deliver the strongest performance outcomes, tailored to key advertiser segments, defined by dimensions including marketing objective, campaign type or measurement source of truth, etc. Creating and tracking metrics around advertiser value. Identify the right framework to quantify the value Pinterest provides to advertisers, and drive XFN alignment on implement and monitor those metrics as north stars of success. Improve decision velocity and quality using data scientist tool kit: experimentation, causal inference techniques, etc. Design measurement strategy, advise on experimentation best practices, identifying flaws in experiment practices and results; building tools for experiment analysis etc. Leadership: Lead and mentor the scope of work for data scientists in the same area, demonstrating high-quality output of both yourself and others for whom you are responsible. Provide continuous and candid feedback, recognizing individual strengths and contributions and flagging opportunities to improve performance. What we're looking for: MS or PhD in a quantitative field or equivalent experience 8+ years of experience applying data science to solve real-world problems on web-scale data Domain expertise about ads platforms and products, particularly around measurement and performance Strong fundamentals in statistics, particularly experimentation and causal inference Proficiency in common data science coding languages such as SQL and Python. Proven track record of driving data science projects and/or initiatives in a cross-functional team including both technical and non-technical stakeholders. Strong communication skills. Explains work and thought processes clearly, concisely and convincingly. In-Office Requirement Statement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. This role will need to be in the office for in-person collaboration 1x week and therefore needs to be in a commutable distance from one of the following offices: Seattle, San Francisco and Palo Alto. Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. #LI-NM4 #LI-HYBRID At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only$193,759-$339,078 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

Data Engineer II Job ID: 25-12339 Pay rate range - $65/hr. to $70/hr. on Onsite Must Have Data pipelines ETL SQL Degree/Experience: * Bachelors Degree in Data Engineering, or any related * 3-6 years in Data Engineering building and maintaining production data pipelines * Experience in SQL and ETL We're looking for a Data Engineer to join AI for a focused engagement to lead the migration of critical data infrastructure that powers sustainability metrics, carbon footprint calculations, and Climate Pledge Friendly badging across Devices. Responsibilities: As a Data Engineer on the Sustain.AI team, you will be working with business-critical sustainability data pipelines. You will be responsible for migrating production ETL jobs from legacy data platforms to modern AWS infrastructure, ensuring zero disruption to operations that drive corporate carbon footprinting, quarterly business reviews, and customer-facing sustainability communications. You will establish the technical foundation for our data infrastructure by setting up Redshift clusters, AWS Glue, and workflow orchestration platforms in new AWS accounts. You will translate existing data workflows into scalable AWS pipelines, implementing robust validation to ensure data consistency and quality throughout the migration. You will work across multiple critical data domains including sales data, active device telemetry, transportation carbon emissions, energy consumption metrics, sustainability badging workflows, and executive reporting dashboards. You will partner with Science team members who own carbon calculation methodologies and program teams who depend on these pipelines for daily operations, understanding their requirements and ensuring migrated solutions support their analytical and operational needs. You will coordinate with upstream data owners to secure access permissions, collaborate with platform teams to troubleshoot integration issues, and communicate migration progress and risks to stakeholders across the organization. Clear communication will be essential as you navigate dependencies across multiple teams and ensure alignment on migration timelines and success criteria. You will be responsible for comprehensive documentation of the new architecture, including data lineage, dependencies, monitoring strategies, and operational runbooks. This documentation will enable the AI team to maintain and evolve the infrastructure after your engagement completes. You will implement data quality checks and alerting to proactively identify issues before they impact downstream consumers. Required Skills & Experience: 3-6 years building and maintaining production data pipelines in complex enterprise environments Strong SQL skills for writing complex transformations, optimizing query performance, and troubleshooting data quality issues across large datasets Hands-on experience with AWS data services including Redshift, S3, Glue, and IAM for data access management Deep understanding of ETL best practices including data validation, error handling, idempotency, and lineage tracking Experience with Python or Spark for implementing data transformation logic Strong analytical skills and ability to work with large, complex datasets spanning multiple source systems Excellent communication and stakeholder management skills, with ability to coordinate across multiple technical teams and translate technical concepts for non-technical audiences Ability to partner directly with technical stakeholders to understand requirements and deliver solutions that meet operational needs Proven track record managing data migrations or large-scale infrastructure transitions with minimal business disruption Preferred Qualifications: Experience with workflow orchestration platforms QuickSight experience for dashboard development Background in large-scale data migrations Familiarity with sustainability data, carbon accounting, or environmental metrics Experience setting up monitoring and alerting for production data pipelines * Job details *

Holospark is growing and we are looking for talented people to join our growing team! Holospark is looking for an experienced Gameplay Engineer to join and help us create and impliment exciting and compelling gameplay for our games. The Role Own the design, development, and deployment of player facing features and technology that ship in the game. Work directly with game designers, animators, and other engineers to deliver state-of-the-art gameplay features. Integrate with first and third party services to give our players a seamless experience. Be a champion for the user: Insist on the highest standards, and create functional and well-designed technology that delights our players. Basic Qualifications 3+ years of professional game development experience on medium to large sized teams with at least 1 shipped title. Advanced software engineering skills, including the ability to write expert-level, maintainable, and robust code in C++. Experience in the development of various gameplay systems and technologies. Preferred Qualifications 5+ years of professional game development experience. Experience with multiplayer game development. Comprehensive engineering skills including interface design, service integration, clear maintainable coding standards, and pragmatic optimization. Great communication skills and ability to work effectively on collective projects with designers, artists, testers, and other developers across multiple teams. Relentless ownership and the ability to dive into ambiguous problems. Bonus Experience with Unreal and Unity game engines Working knowledge of AWS, GameLift and/or GameSparks

Primary Skills: NXOpen (Expert), C# (Advanced), AWS (Proficient), .NET (Proficient), CAD-Customization (Proficient) Contract Type: W2 Duration: 6 Months with possible extension Pay Range: $75.00 - $80.00 Per hour #LP Note: Due to export control laws, candidates must be a U.S. citizen, U.S. permanent resident, or lawfully admitted as a refugee or granted asylum. Job Summary: This role involves developing custom NX features and applications, crafting desktop applications to interact with NX and various engineering data, and collaborating with engineering teams to support and enhance process flows. The ideal candidate will have extensive experience in CAD software development, a deep understanding of Siemens NX, and proficiency in relevant programming interfaces and languages. Key Responsibilities: Develop custom NX features and applications using NXOpen (C#, Python, .NET) Create desktop applications for interfacing with NX, Teamcenter, and ERP systems Collaborate with engineering teams to provide technical support and process development Integrate CAD systems with PLM, ERP, and other enterprise software Participate in the development and support of NX upgrades and related solutions Must-Have Skills: Expertise in NXOpen (C#, Python, .NET) Proficiency in programming languages (C#, .NET) Knowledge and experience with PLM and ERP systems Industry Experience: Experience in CAD software development and customization, specifically with Siemens NX ABOUT AKRAYA Akraya is an award-winning IT staffing firm consistently recognized for our commitment to excellence and a thriving work environment. Most recently, we were recognized Inc's Best Workplaces 2024 and Silicon Valley's Best Places to Work by the San Francisco Business Journal (2024) and Glassdoor's Best Places to Work (2023 & 2022)! Industry Leaders in IT Staffing As staffing solutions providers for Fortune 100 companies, Akraya's industry recognitions solidify our leadership position in the IT staffing space. We don't just connect you with great jobs, we connect you with a workplace that inspires! Join Akraya Today! Let us lead you to your dream career and experience the Akraya difference. Browse our open positions and join our team!

Given the fast growth of TikTok in the world, we are aiming to build an industry leading ads measurement product. The Lift Measurement team's goal is to help marketers realize their true business value generated by TikTok across all of their paid channels. In order to achieve this goal, the Lift Measurement team is building a suite of incrementally measurement products. We are seeking an experienced data scientist to focus on building digital ad measurement products by applying experimental design and causal inference approaches to help advertisers measure their true business value on the TikTok platform. Responsibilities * Design and analyze lift experiments to drive product improvements with cross-functional teams * Conduct research and analysis to improve the lift experimentation platform using experimental design and causal inference methods * Identify opportunities to build new or enhance ad measurement products * Develop and validate new approaches to address measurement challenges based on statistically rigorous solutions * Build cross-functional relationships with engineers, product managers, product marketing and other key stakeholders to identify opportunities to improve products, drive product launches and influence product roadmaps Minimum Qualifications: * 3+ years industry experience and advanced degree in quantitative discipline (e.g., Statistics, BioStatistics, Political Science, Economics, Quantitative Social Sciences, Computer Science, Mathematics, Physics) or equivalent practical experience * Extensive knowledge and experience in statistical methodologies, especially hypothesis testing, experimental design and causal inference * Proven experience in querying and analyzing large datasets using SQL/Hive, and proficient in scripting languages like Python/R Preferred Qualifications: * Strong analytical and strategic thinking with demonstrated product sense and leadership in working environment * Able to work independently in an innovative and fast-paced environment * Knowledge or experience in digital advertising measurement (Brand or DR) is a plus * Knowledge or experience with privacy technologies is a plus (e.g., secure multi-party computation techniques, differential privacy, federated learning)

Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Ad Platforms is responsible for Disney's industry-leading ad technology and products - driving advertising performance, innovation, and value in Disney's sports, news, and entertainment content, across all media platforms. The research/AI fleet is the dedicated AI/ML and data science arm of the Ad Platform organization. Its mission is to advance AI and machine learning capabilities across Ad Platform by delivering scalable, high impact AI/ML and data science solutions that enhance Ad decisioning, forecasting, experimentation and Ad experience. We are seeking a Lead Data Scientist to join this innovative team. This role is a critical leadership opportunity for a seasoned data science professional who thrives at the intersection of advanced analytics, machine learning, and business strategy. As a Lead Data Scientist, you will spearhead analytical initiatives that shape the future of advertising technology. You will be responsible for designing and executing data science solutions that drive measurable impact across ad decisioning, forecasting, experimentation, and user experience optimization. WHAT YOU'LL DO Drive innovation and apply data science and statistical analysis in a variety of areas to enhance every aspect of advertising, including inventory forecasting, ad experience, ad pacing, pricing, targeting, and efficient ad delivery. Translate business questions into data science framework; develop data analysis and data models for complex ad challenges with fast turnaround. Define and evaluate key metrics in various product areas. Deliver data insights and provide data-driven recommendations to cross-team stakeholders. Design and analyze A/B tests for machine learning algorithm iterations. Establish strong partnership with stakeholders, including product managers, engineers and program managers, in a collaborative environment. Mentor team members and support their technical growth. WHAT TO BRING Bachelor's (MS or PhD preferred) in Computer Science, Software Engineering, or a related field At least 7 years of relevant industry experience in data science at leading internet companies. Experience in the advertising domain is preferred. Solid knowledge of data science and statistics. Strong communication skills and business acumen. Proficient in SQL, Python, Java, or R. Familiar with Tableau, and/or other visualization tools. Passionate about understanding the ad business, applying data science to relevant business scenarios, and seeking innovation opportunities to enhance business effectiveness. Passionate about technology and experienced in building data-driven services and applications. A proven track record of thriving in a fast-paced, data-driven, and collaborative work environment is required. NICE-TO-HAVES Experience in digital video advertising or digital marketing domain Experience with machine learning models. Experience with Airflow, data warehouse, Databricks or Sagemaker #DISNEYTECH The hiring range for this position in Los Angeles, CA area is $155,700 - $208,700 per year and Seattle Area is $163,100 - $218,700. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. Job Posting Segment: Ad Platforms Job Posting Primary Business: AP - Software Engineering Primary Job Posting Category: Data Science Employment Type: Full time Primary City, State, Region, Postal Code: Seattle, WA, USA Alternate City, State, Region, Postal Code: USA - CA - 2450 Broadway Date Posted: 2025-12-18

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Scientist, Product Analytics Responsibilities: 1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches 2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses 3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends 4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations 5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent 8. 4+ years of work experience in analytics, data querying languages such as SQL, scripting languages such as Python, and/or statistical mathematical software such as R (minimum of 2 years with a Ph.D.) 9. 4+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights] **Preferred Qualifications:** Preferred Qualifications: 10. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $147,000/year to $208,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Focus America Inc Hello Folks ! We are on an active lookout for Senior Big Data resources for one of our direct clients. Please drop me your updated resumes if you think you are a fit I will call you to help connect you with your dream Job. Java+ Big Data consultant with expertise in AWS Location: Orlando,FL or Seattle, WA Duration: 6 months extendable Interview Process: 3 Skype rounds JD • The skills are to help me build the Data Management Cloud Platform: • Looking for Engineers who have experience in Java, AWS Cloud, BigData/Data Management knowledge, Experience in automation and or building CICD pipelines. • Experience in Java, AWS, Big Data is critical • Experience in Dockers, Terraform, Jenkins, Python is optional • 10-12+ years of experience in Core Java with alteast 4 years of experience in Big Data Job Description The skills are to help me build the Data Management Cloud Platform: • Looking for Engineers who have experience in Java, AWS Cloud, BigData/Data Management knowledge, Experience in automation and or building CICD pipelines. • Experience in Java, AWS, Big Data is critical • Experience in Dockers, Terraform, Jenkins, Python is optional • 10-12+ years of experience in Core Java with alteast 4 years of experience in Big Data Qualifications The skills are to help me build the Data Management Cloud Platform: • Looking for Engineers who have experience in Java, AWS Cloud, BigData/Data Management knowledge, Experience in automation and or building CICD pipelines. • Experience in Java, AWS, Big Data is critical • Experience in Dockers, Terraform, Jenkins, Python is optional • 10-12+ years of experience in Core Java with alteast 4 years of experience in Big Data Additional Information All your information will be kept confidential according to EEO guidelines.

Sonsoft , Inc. is a USA based corporation duly organized under the laws of the Commonwealth of Georgia. Sonsoft Inc. is growing at a steady pace specializing in the fields of Software Development, Software Consultancy and Information Technology Enabled Services. Job Description At least 4+ years of overall design and development experience At least 4+ years of working on data management domain with big data, Oracle, SQL or other database solutions At least 2+ years of experience with Big Data & Analytics solutions - Hadoop, MapReduce, Pig, Hive, Spark, Storm, Amazon Kinesis, AWS EMR, AWS RedShift, DynamoDB, Azure HDInsight, Azure Cortana Analytics, Azure Data Lake and other technologies Development experience in Java, Python, Scala Experience in cloud technologies preferred - AWS or Azure. Experience in DevOps technologies preferred Understanding of market and technology trends. Analytical and problem solving skills Qualifications Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. At least 4 years of experience with Information Technology. Additional Information ** U.S. citizens and those authorized to work in the U.S. are encouraged to apply . We are unable to sponsor at this time. Note:- This is a Full-Time Permanent job opportunity for you. Only US Citizen, Green Card Holder, GC-EAD, H4-EAD & L2-EAD can apply. No OPT-EAD, TN Visa & H1B Consultants please. Please mention your Visa Status in your email or resume.

SonSoft Inc. is a USA based corporation duly organized under the laws of the Commonwealth of Georgia. SonSoft Inc is growing at a steady pace specializing in the fields of Software Development, Software Consultancy, and Information Technology Enabled Services. Job Description Domain - Retail and/or CPG domain Knowledge Retail Execution - Demand Forecasting/Inventory Management/Supply Chain, CRM, Sales, and Operation, Procurement Analytics Knowledge - Clustering, Segmentation, Campaign Analytics, Loyalty Management, Forecasting Data Understanding of Sales, Inventory, Store, Product and Promotion Data Ability to translate business requirement to analytical model Communicate directly with business users Technical Skills -SQL, Advanced Excel, R/SAS Nice to have Skill/Competency: Hadoop, Spark, Python Tableau/Spotfire/Qlikview Nielsen/IRI/Market Research Data understanding Job responsibilities: Understand business requirement from client and translate it to appropriate Analytics use cases Work in a team environment to deliver analytics solution to client Define new business metrics as required and build measurement systems as needed Enjoy designing, develop and deploy state of the art, data-driven predictive models Adept in quick starting optimization options to solve business problems using latest technologies in data mining and statistical modeling, Advise clients & internal teams on the right analytics algorithm, platforms, and approaches to take in addressing complex, open-ended business problems. Travel may be required as per the job requirements. Qualifications Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. At least 7 years of experience with Information Technology or Business Intelligence/Analytics consulting. Additional Information ** U.S. Citizens and those who are authorized to work independently in the United States are encouraged to apply. We are unable to sponsor at this time. Note:- This is a Full-Time & Permanent job opportunity for you. Only US Citizen, Green Card Holder, GC-EAD, H4-EAD & L2-EAD can apply. No OPT-EAD, H1B & TN candidates, please. Please mention your Visa Status in your email or resume. ** All your information will be kept confidential according to EEO guidelines.