Data engineer jobs in Olympia, WA

Pay rate range - $55/hr. to $60/hr. on W2 Onsite role Must Have - Expert Python and SQL Visualization and development Required Skills - 5-7 years of experience working with large-scale complex datasets - Strong analytical mindset, ability to decompose business requirements into an analytical plan, and execute the plan to answer those business questions - Strong working knowledge of SQL - Background (academic or professional) in statistics, programming, and marketing - SAS experience a plus - Graduate degree in math/statistics, computer science or related field, or marketing is highly desirable. - Excellent communication skills, equally adept at working with engineers as well as business leaders Daily Schedule - Evaluation of the performance of program features and marketing content along measures of customer response, use, conversion, and retention - Statistical testing of A/B and multivariate experiments - Design, build and maintain metrics and reports on program health - Respond to ad hoc requests from business leaders to investigate critical aspects of customer behavior, e.g. how many customers use a given feature or fit a given profile, deep dive into unusual patterns, and exploratory data analysis - Employ data mining, model building, segmentation, and other analytical techniques to capture important trends in the customer base - Participate in strategic and tactical planning discussions About the role understanding customer behavior is paramount to our success in providing customers with convenient, fast free shipping in the US and international markets. As a Senior Business Intelligence Engineer, you will work with our world-class marketing and technology teams to ensure that we continue to delight our customers. You will meet with business owners to formulate key questions, leverage client's vast Data Warehouse to extract and analyze relevant data, and present your findings and recommendations to management in a way that is actionable

• 7+ years of experience with large-scale, complex datasets. • Conduct statistical A/B and multivariate testing • Proficiency in SQL and ETL processes • Experience with data visualization tools (e.g., QuickSight, Tableau, Power BI) • Python/R experience is a plus, especially for data analysis and automation

A globally leading consumer device company based in Seattle, WA is looking for a DevOps Engineer, Cloud Infrastructure to join their dynamic team! Job Responsibilities: • Manage Kubernetes clusters by performing improvements and regular maintenance. Perform cloud infrastructure operational tasks. • Perform Database administration tasks including migration, instrumenting of telemetry, performance monitoring, cost monitoring and consolidation. • CI/CD-focused projects that include implementing features for GitOps + software lifecycle tooling and processes. Required Skills:5 years of relevant experience 3-5 years experience with Kubernetes (configuration, operations, deployment),and related technologies: Helm, ArgoCD, GitOps. 3-5 years experience with AWS and database administration: Postgres, RDS (eg. Aurora) 3 years experience in Python + Bash scripting Operational Experience with cloud-based service infrastructure (DNS, loadbalancing, ingress, telemetry and logging) Type: Contract Duration: 9 months with extension Work Location: Seattle, WA (Remote) Pay range: $ 74.00 - $ 89.00 (DOE)

PAM Platform Leadership: Serve as the primary technical expert for privileged access management solutions, including architecture, deployment, configuration, and optimization of password vaults and endpoint privilege management systems Enterprise PAM Implementation: Design and execute large-scale PAM deployments across Windows, mac OS, and Linux environments, ensuring seamless integration with existing infrastructure Policy Development & Management: Create and maintain privilege elevation policies, credential rotation schedules, access request workflows, and governance rules aligned with security and compliance requirements Integration & Automation: Integrate PAM solutions with ITSM platforms, SIEM tools, vulnerability scanners, directory services, and other security infrastructure to create comprehensive privileged access workflows Troubleshooting & Support: Provide expert-level technical support for PAM platform issues, performance optimization, privileged account onboarding, and user access requests Security & Compliance: Ensure PAM implementations meet PCI DSS, and other requirements through proper audit trails, session recording and monitoring, and privileged account governance Documentation & Training: Develop technical documentation, procedures, and training materials for internal teams and end users Continuous Improvement: Monitor platform performance, evaluate new features, and implement best practices to enhance security posture and operational efficiency Required Experience: 4-6+ years of hands-on experience implementing and managing enterprise PAM platforms such as CyberArk, BeyondTrust, Delinea (Thycotic) in large-scale environments Vendor certifications in one or more major PAM platforms (CyberArk Certified Delivery Engineer, BeyondTrust Certified Implementation Engineer, Delinea certified professional, etc.) preferred Deep expertise in privileged account discovery, credential management, password rotation, session management, and access request workflows using enterprise PAM solutions Strong understanding of Windows Server administration, Active Directory, Group Policy, and PowerShell scripting Experience with Linux/Unix system administration and shell scripting for cross-platform PAM deployments Knowledge of networking fundamentals including protocols, ports, certificates, load balancing, and security hardening Experience with cloud platforms (AWS, Azure) and containerization technologies (Docker, Kubernetes) Understanding of identity and access protocols (SAML, OIDC, OAuth, SCIM, LDAP) and their integration with PAM solutions Technical Skills: PAM Platforms: Experience with major vendors (CyberArk Privileged Access Security, BeyondTrust Password Safe/EPM, Delinea Secret Server/Privilege Manager, Ping Identity PingOne Protect) Operating Systems: Windows Server (2016/2019/2022), Windows 10/11, mac OS, RHEL, Ubuntu, SUSE Databases: SQL Server, MySQL, PostgreSQL, Oracle for PAM backend configuration Virtualization: VMware vSphere, Hyper-V, cloud-based virtual machines Scripting: PowerShell, Bash, Python for automation and integration tasks Security Tools: Integration experience with vulnerability scanners, endpoint detection tools, and identity governance platforms Preferred Qualifications: Experience with multiple PAM vendors and platform migration/integration projects Knowledge of DevOps practices, CI/CD pipelines, and Infrastructure as Code (Terraform, Ansible) Familiarity with ITSM integration (ServiceNow, Jira) for ticket-driven privileged access workflows Experience with SIEM integration and security monitoring platforms (Splunk, QRadar, etc.) Understanding of zero trust architecture and least privilege access principles Experience with secrets management platforms (HashiCorp Vault, AWS Secrets Manager, Azure Key Vault) Previous experience in retail technology environments or large-scale enterprise deployments Industry certifications such as CISSP, CISM, or relevant cloud security certifications

Job Title: Kettle Engineer Type: Contract We're seeking a Kettle Engineer to design, operate, and continuously improve our Pentaho Data Integration (PDI/Kettle) platform and data movement processes that underpin business‑critical workflows. You will own end‑to‑end lifecycle management-from environment build and configuration to orchestration, monitoring, and support-partnering closely with application teams, production operations, and data stakeholders. The ideal candidate combines strong hands‑on Kettle expertise with solid SQL, automation, and production support practices in a fast‑moving, highly collaborative environment. Primary Responsibilities Platform ownership: Install, configure, harden, and upgrade Kettle/PDI components (e.g., Spoon) across dev/prod. Process engineering: Migrate, re-engineer, and optimize jobs and transformations for existing transformations. Reliability & support: Document all workflows including ownership and escalation protocols. Knowledge transfer with Automation and Application Support teams. Observability: Implement proactive monitoring, logging, and alerting for the Kettle platform including all dependent processes. Collaboration: Partner with application, data, and infrastructure teams to deliver improvements to existing designs Required Qualifications Kettle/PDI expertise: Experience installing and configuring a Kettle instance (server and client tools, repositories, parameters, security, and upgrades). Kettle/PDI expertise: Experience creating, maintaining, and supporting Kettle processes (jobs/transformations, error handling, recovery, and performance tuning). 4+ years hands‑on SQL (writing/diagnosing and optimizing queries). Strong communication skills for both technical and non‑technical audiences; effective at documenting and sharing knowledge. Preferred Qualifications Experience integrating Kettle with cloud platforms (AWS and/or Azure); familiarity with containers or Windows/Linux server administration. Exposure to monitoring/observability stacks (e.g., DataDog, CloudWatch, or similar). Scripting/automation for operations (Python, PowerShell, or Bash); experience with REST APIs within Kettle. Background in financial services or other regulated/mission‑critical environments. Key Outcomes (First 90 Days) Stand up or validate a hardened Kettle environment with baseline monitoring and runbooks. Migrate at least two high‑value Kettle workflows using shared templates and standardized error handling.

We are seeking a highly experienced Senior Staff Software Engineer to lead and deliver complex technical projects from inception to deployment. This role requires a strong background in software architecture, hands-on development, and technical leadership across the full software development lifecycle. This role is with a fast-growing technology company pioneering AI-driven solutions for real-world infrastructure. Backed by significant recent funding and valued at over $5 billion, the company is scaling rapidly across multiple verticals, including mobility, retail, and hospitality. Its platform leverages computer vision and cloud technologies to create frictionless, intelligent experiences, positioning it as a leader in the emerging Recognition Economy-a paradigm where physical environments adapt in real time to user presence and context. Required Qualifications10+ years of professional software engineering experience. Proven track record of leading and delivering technical projects end-to-end. Strong proficiency in Java or Scala. Solid understanding of cloud technologies (AWS, GCP, or Azure). Experience with distributed systems, microservices, and high-performance applications. Preferred / Bonus SkillsAdvanced expertise in Scala. Prior experience mentoring engineers and building high-performing teams. Background spanning FAANG companies or high-growth startups. Exposure to AI/ML or general AI technologies.

Backend Software Engineer (Block Storage) W2 Contract Salary Range: $114,400 - $135,200 per year We are looking for collaborative, curious, and pragmatic Software Engineers to be part of this innovative team. You will be able to shape the product's features and architecture as it scales orders of magnitude. Being part of our Cloud Infrastructure organization opens the door to exerting cross-functional influence and making a more significant organizational impact. Requirements and Qualifications: Proficient with UNIX/Linux Coding skills in one or more of these programming languages: Rust, C++, Java or C# Experience with scripting languages (Bash, Python, Perl) Excellent knowledge of software testing methodologies & practices 2 years of professional software development experience Strong ownership and track record of delivering results Excellent verbal and written communication skills Bachelor's Degree in Computer Science, an engineering-related field, or equivalent related experience. Preferred Qualifications: Proficiency in Rust Experience with high-performance asynchronous IO systems programming Knowledge on distributed systems Desired Skills and Experience Proficient with UNIX/Linux, Rust, C++, Java, C#, Bash, Python, Perl, software testing methodologies, professional software development, strong ownership, results-driven delivery, excellent communication skills, computer science or engineering degree, high-performance asynchronous IO systems programming, distributed systems Bayside Solutions, Inc. is not able to sponsor any candidates at this time. Additionally, candidates for this position must qualify as a W2 candidate. Bayside Solutions, Inc. may collect your personal information during the position application process. Please reference Bayside Solutions, Inc.'s CCPA Privacy Policy at *************************

Team Intro: The Payment team of U.S. Data Security department of TikTok provides payment solutions - including payment acquisitions, disbursements, transaction monitoring, payment method management, foreign exchange conversion, accounting, reconciliations, and so on - to ensure that users have a smooth and secure payment experience on TikTok platform. In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time. Responsibilities: This role is responsible for developing and executing on analytics and reporting initiatives which deliver data-driven insights to internal and external stakeholders, including strategy, operations, business, engineering, and R&D teams in both US and globally. You are playing a key role in empowering TikTok platform to achieve overall payment success by way of payment security. You will contribute to the development of industry-leading capabilities to protect TikTok and our users from emerging payment threats and ensure secure payment growth. You must be able to work both independently and as part of a team to deliver on a dynamic set of needs in a fast-paced environment. Specific responsibilities include: * Work with large datasets to solve problems that could be ambiguous and nuanced using a variety of analytical and statistical approaches. * Conduct quantitative analysis using statistical regression, machine learning, as well as hypothesis testing and present analysis and recommendations in a user friendly manner to propel business growth and customer satisfaction. * Develop a scientific approach to measure KPI fluctuation, impact of business initiatives, and customer experience and design indexes for continuous monitoring. * Design and implement foundational tests including backtesting for measuring the effectiveness of credit risk strategy and segmenting user profile. * Create documentation articulating the sampling process, underlying assumptions, design of test, success metrics, and conclusion. * Have familiarity with best practices and pragmatic approaches for addressing common issues including data quality, seasonality, insufficient training dataset, etc. * Perform predictive analysis and support business partners with revenue and loss forecasts, budgeting, risk and incident management to proactively address foreseeable challenges. * Conduct deep dive analysis and diagnosis to identify patterns, concentrations, correlations, root causes to provide transparency into business and product performance. * Partner with Product, Strategy, Operations and cross-functional teams to inform, influence, support, and execute strategy and decisions. * Demonstrate understanding of common challenges facing TikTok business, key products, and the competitiveness of the marketplace.Minimum Qualifications: * 3+ years of progressive success in roles of increasing responsibility. * 3+ years working in data science, risk, machine learning, and A/B testing. * 3+ years of coding experience in Python, Hive, SQL and familiarity with machine learning functions, options, forecasting models. * 5+ years of experience with Tableau or other data visualization tools (e.g. Tableau). Preferred Qualifications: * Knowledge of the payments industry is highly desirable. * Risk analytics/operations, data science experience or similar quantitative business responsibility for financial services, eCommerce, or operational performance highly desirable. * Strongly skilled at manipulating and integrating data from a variety of sources. * Proficiency with test design, feature creation, model development, and documentation.

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Data Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce. Slack is looking for a data scientist to join our Business Data Science team. In this role, you will be responsible for leveraging data to help drive the growth and success of the Slack Business Unit. The ideal candidate is a strong communicator, can operate independently with minimal guidance, has a growth mindset, collaborates effectively with others, and biases towards action and impact. The Business Data Science team is focused on helping executives and other key decision makers across the company make better decisions using data. We work closely with Data Engineering and Product Analysts, other Data Scientists at Slack and our partners in Product, Engineering, and the Slack Distribution teams to identify growth opportunities, craft narratives that deepen our understanding of the business, forecast future performance, and build predictive models to effect positive business outcomes. Slack has a positive, diverse, and supportive culture-we look for people who are curious, inventive, and work to be a little better every single day. In our work together we aim to be smart, humble, hardworking and, above all, collaborative. If this sounds like a good fit for you, why not say hello? What you will be doing * Partner with Slack Growth teams to understand the drivers of our business and accelerate growth * Develop both short-term and long-term forecasting models for Slack's self-serve business * Conduct deep-dive analysis, synthesizing insights into crisp narratives for senior leadership * Develop frameworks for identifying patterns/trends in customer behavior and implement them in predictive scoring models * Empower others to be self-sufficient in data by building self-service tools and reports to drive awareness and understanding of key metrics * Work with our Data Engineering and Product Analysts to build core data models that power operational metrics and exploratory data analyses What you should have * 6+ years of professional industry experience doing quantitative analysis * Proficient in SQL and at least one programming language for data analysis (e.g. Python, R) * Experience with time series forecasting, as well as statistical and machine learning methods to build descriptive and predictive models * A related technical degree required Preferred Experience * Partnering with Finance or business team for revenue forecasting * Deep understanding of premium and/or self-serve business model * Applying analytics to uncover potential growth opportunities * Crafting narratives for executive audience * Advanced degree in Economics, Physics, Statistics, Math, or other quantitative field (PhDs are a plus) Unleash Your Potential When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world. Accommodations If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form. Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: ******************************************* to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. For New York-based roles, the base salary hiring range for this position is $200,800 to $276,100. For Washington-based roles, the base salary hiring range for this position is $167,300 to $230,000. For California-based roles, the base salary hiring range for this position is $200,800 to $276,100.

RentSpree is the nation's leading home rental software. Our award-winning product suite simplifies the entire rental journey-from applications and screening to payments and lease management. Our mission is to bring transparency, efficiency, and trust to agents, landlords, and renters alike. With over 3 million users, partnerships with 300+ leading real estate companies and MLS platforms, and nine years of consistent growth, RentSpree is at the forefront of proptech innovation. Our award-winning solutions deliver automation and real-time insights that make renting faster, easier, and more secure for our customers. RentSpree is a proud Forbes' Best Startup Employer and we were also ranked one of BuiltIn Seattle's Best Places to Work. As one of the fastest-growing property tech startups in the U.S., we're looking for talented problem-solvers to contribute meaningful impact as we scale. Staff Data Scientist - Seattle, WA (hybrid) - paid relocation available Join the Data department at RentSpree as a Staff Data Scientist! You will play a key role in developing, evaluating, and fine-tuning cutting-edge machine learning and large language models (LLMs), collaborating closely with product, analytics, and engineering teams to create impactful AI-powered features and internal tools. This position offers a unique opportunity to work collaboratively with cross-functional teams located in Thailand and the US, helping transform advanced AI models into scalable, production-ready applications. If you're excited to work on challenging projects that leverage rich datasets and LLM technologies-and you're passionate about applying AI research in high-impact business scenarios-we want you! Take the lead and bring your proactive, builder mindset to RentSpree. This role is based in Seattle with 2 days per week in-office. What You'll Do * Strategic AI Alignment: Collaborate with Product, Engineering, and Data leaders to define and refine RentSpree's ML/LLM strategy, ensuring alignment with business priorities, roadmap milestones, and measurable success criteria. * AI Use Case Translation: Partner with analytics teams to turn business challenges into well-defined, testable LLM/ML use cases, accelerating time-to-production for AI solutions. * Mentorship & Skill Uplift: Coach data scientists, analysts, and engineers in LLM concepts, evaluation design, RAG patterns, and applied AI/ML best practices. * Full AI Lifecycle Ownership: Design, fine-tune, evaluate, and deploy ML/LLM models for both product-facing features and internal AI assistants, with a focus on scalability, safety, and maintainability. * Agentic AI Infrastructure: Architect and implement workflows for agentic AI systems - including multi-agent coordination, tool integration, memory management, and retrieval-augmented generation (RAG) - enabling autonomous and semi-autonomous AI-powered decisioning. Our job descriptions evolve with our business needs and priorities. In addition to the description above, your role may include additional tasks, projects and team support as needed. Skills You Bring * Bachelor's or Master's degree in computer science, data science, machine learning, or a related quantitative field. * 6+ years in applied ML, NLP, or AI engineering, with demonstrated experience in shipping production AI/ML features. * Expert proficiency in Python modern ML/LLM frameworks (PyTorch, Hugging Face, LangChain, LlamaIndex), and strong SQL/data pipeline skills. * Proven hands-on experience fine-tuning LLMs, building RAG pipelines, and creating agentic AI workflows (e.g., multi-step reasoning, autonomous agents, internal AI copilots). * Experience defining and running LLM evaluation frameworks and integrating human feedback loops. * Strong communication skills to bridge technical and non-technical teams, with the ability to influence AI product direction. * SaaS or proptech domain experience is a plus, especially with real estate transaction, tenant screening, or property management data. Qualities You Practice These encompass our guiding principles and startup culture competencies: * Take full ownership and accountability: Drives projects from idea to execution, with pride, urgency, and a "do what it takes" mentality. * Collaborate with clarity, candor, and respect: Communicate openly and courageously, offer and receive feedback well, and build trust through transparency and reliable partnership. * Strive for excellence while staying humble: Driven with a bias for action, hold a high bar, think critically, and continuously look to improve. * Bring a versatile, proactive mindset: Adapt to evolving needs, anticipate challenges, take initiative, be resourceful, and embrace opportunities to achieve high quality results. * Innovate and learn fast: Experiment, learn from failure, and seek opportunities to introduce new methods or diverse ways of achieving results. * Engage in healthy debate and commit as a team: Contribute ideas, challenge constructively, and align quickly for decisive action. * AI is a core skill: Equip yourself to use AI in your daily workflow, boosting productivity, accelerating RentSpree's growth, and building future-ready career skills in a world where AI literacy is essential. Why Join Us? Our Award-Winning Benefits & Culture As a fast-growing startup, our culture is built on collaboration, curiosity, and the drive to build something meaningful together. From most comprehensive benefits starting on day one to an environment built on trust, respect, and belonging, we make sure our team feels supported every step of the way. Here's what we offer: * Compensation: $180k-$202,5k base salary * Equity Options: Share in the value we're creating-your work makes a real impact. * Team-First Culture: Join a group of talented, supportive teammates who inspire each other to do their best work and celebrate every win. * Learning & Development: Ongoing support for your growth through resources, coaching, and career development opportunities. * Health Coverage: Comprehensive employee + dependent medical, dental, and vision insurance, as well as HSA/FSA options. Plus, enjoy additional health perks like access to Headspace Care+, gym membership discounts, and much more - because your well-being matters, inside and out. * Plan for your future: Life, disability, and Simple IRA retirement plan with company match to support your future. * Flexible Vacation Policy: We trust you to take the time you need to rest and recharge. * Holidays: Enjoy 12 holidays throughout the year, as a part of our commitment to honoring culture, history, and time to recharge. * Events: We make time to connect and celebrate through reimbursable weekly team lunches, game nights, events, and more, both in-person and remotely. * Recognition Programs: Team members can recognize their peers with Sprees, which are redeemable for gift cards and/or donations to an organization of your choice, or nominate a colleague for a S.P.R.E.E. Award to spotlight above-and-beyond contributions, which may be rewarded with a spot bonus. Our Work Anniversary Program also honors employee milestones with personalized tokens of appreciation! * Business Expense Allowance & Internet Reimbursement: Get the tools and support you need to do your best work. * Parental Leave & Fertility Support: Inclusive benefits to support you and your family, wherever you are in life. * Legal & tax benefits: We offer group legal benefits and tax support through RocketLawyer. * Seattle HQ: If you'll be working from our Seattle office, you'll receive a company-sponsored Orca card to cover the cost of public transportation to and from the office! Ready to Build Something Big? We're a team of talented, kind, and supportive people who take ownership, move with urgency, and strive for excellence. If you're ready to roll up your sleeves and take on exciting challenges, we'd love to hear from you, even if you don't meet every requirement! EEO Statement RentSpree is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. RentSpree makes hiring decisions based solely on qualifications, merit, and business needs at the time.

Locations: Boston | Chicago | Pittsburgh | New York | Brooklyn | Miami | Dallas | San Francisco | Seattle | Los Angeles | Manhattan Beach Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. We Are BCG X We're a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world's most complex problems. Leveraging BCG's global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions. What You'll Do Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions. Our Data Scientists are part of our rapidly growing team to apply data science methods and analytics to real-world business situations across industries to drive significant business impact. You'll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions. Additional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG X. Successful candidates are intellectually curious builders who are biased toward action, creative, and communicative. What You'll Bring We are looking for dedicated individuals with a passion for data science, statistics, operations research and redefining organizations into AI led innovative companies. Successful candidates possess the following: * Comfortable in a client-facing role with the ambition to lead teams * Likes to distill complex results or processes into simple, clear visualizations * Explain sophisticated data science concepts in an understandable manner * Love building things and are comfortable working with modern development tools and writing code collaboratively (bonus points if you have a software development or DevOps experience) * Significant experience applying advanced analytics to a variety of business situations and a proven ability to synthesize complex data * Deep understanding of modern machine learning techniques and their mathematical underpinnings, and can translate this into business implications for our clients * Have strong project management skills Please note: any degree programs (including part-time) must be completed before starting at BCG. TECHNOLOGIES: Programming Languages: Python Additional info You must live within a reasonable commuting distance of your home office. As a member of that office, it is expected you will be in the office as directed. This role puts you on an accelerated path of personal and professional growth and development and so, at times, requires extended working hours. Our work often requires travel to client sites. FOR U.S. APPLICANTS: BCG is an Equal Employment Opportunity employer and is committed to a policy of administering all employment decisions and actions without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. The first-year base compensation for this role is: Data Scientist I: $110,000 USD Data Scientist II: $145,000 USD Data Scientist III: $160,000 USD At BCG, we are committed to offering a comprehensive benefit program that includes everything our employees and their families need to be well and live life to the fullest. We pay the full cost of medical, dental, and vision coverage for employees - and their eligible family members. * That's zero dollars in premiums taken from employee paychecks. All our plans provide best in class coverage: * Zero-dollar ($0) health insurance premiums for BCG employees, spouses, and children * Low $10 (USD) copays for trips to the doctor, urgent care visits and prescriptions for generic drugs * Dental coverage, including up to $5,000 in orthodontia benefits * Vision insurance with coverage for both glasses and contact lenses annually * Reimbursement for gym memberships and other fitness activities * Fully vested Profit-Sharing Retirement Fund contributions made annually, whether you contribute or not, plus the option for employees to make personal contributions to a 401(k) plan * Paid Parental Leave and other family benefits such as elective egg freezing, surrogacy, and adoption reimbursement * Generous paid time off including 12 holidays per year, an annual office closure between Christmas and New Years, and 15 vacation days per year (earned at 1.25 days per month) * Paid sick time on an as needed basis * Employees, spouses, and children are covered at no cost. Employees share in the cost of domestic partner coverage. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.

Marketing science - a sub-team within marketing analytics at Disney's Direct to Consumer team (Hulu, Disney+, ESPN+ and Star) - is in search of an econometrician to run marketing mix models (MMM) and associated ancillary analysis. This position will work as part of a team focused primarily on econometric modeling, which also provides support for downstream practices used to inform marketing investment. The analyst plays a hands-on role in modeling efforts. The ideal candidate has a substantial quantitative skill set with direct experience in marketing science practices (MMM, attribution modeling, testing / experimentation, etc.), and should serve as a strong mentor to analysts, helping to onboard new talent in support of wider company goals. Technical acumen as well as narrative-building are integral to the success of this role. Responsibilities * Build, sustain and scale econometric models (MMM) for Disney Streaming Services with support from data engineering and data product teams * Quantify ROI on marketing investment, determine optimal spend range across the portfolio, identify proposed efficiency caps by channel, set budget amounts and inform subscriber acquisition forecasts * Support ad hoc strategic analysis to provide recommendations that drive increased return on spend through shifts in mix, flighting, messaging and tactics, and that help cross-validate model results * Provide insights to marketing and finance teams, helping to design and execute experiments to move recommendations forward based on company goals (e.g., subscriber growth, LTV, etc) * Support long-term MMM (et.al.) automation, productionalization and scale with support from data engineering and product * Build out front-end reporting and dashboarding in partnership with data product analysts and data engineers to communicate performance metrics across services, markets, channels and subscriber types Basic Qualifications * Bachelor's degree in advanced Mathematics, Statistics, Data Science or comparable field of study * 3+ years of experience in a marketing data science / analytics role with understanding of measurement and optimization best practices * Coursework or direct experience in applied econometric modeling, ideally in support of measure marketing efficiency and optimize spend, flighting and mix to maximize return on ad spend (i.e., MMM) * Exposure / understanding of media attribution practices for digital and linear media, the data required to power them and methodologies for measurement * Understanding of incrementality experiments to validate model recommendations and gain learnings on channel/publisher efficacy * Exposure to / familiarity with with BI/data concepts and experience building out self-service marketing data solutions * Strong coding experience in one (or more) data programming languages like Python/R * Ability to draw insights and conclusions from data to inform model development and business decisions * Experience in SQL Preferred Qualifications * Masters degree in Computer Science, Engineering, Mathematics, Physics, Econometrics, or Statistics The hiring range for this position in Santa Monica, CA is $117,500 to $157,500 per year and in New York City, NY & Seattle, WA is $123,000 to $165,000. 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. About Disney Direct to Consumer: Disney's Direct to Consumer team oversees the Hulu and Disney+ streaming businesses within Disney Entertainment helping to bring The Walt Disney Company's best-in-class storytelling to fans and families everywhere. About The Walt Disney Company: The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise that includes three core business segments: Disney Entertainment, ESPN, and Disney Experiences. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney's stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished. This position is with Disney Streaming Services LLC, which is part of a business we call Disney Direct to Consumer. Disney Streaming Services LLC is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, religion, color, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, age, marital status, military or veteran status, medical condition, genetic information or disability, or any other basis prohibited by federal, state or local law. Disney champions a business environment where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a constantly evolving world. Apply Now Apply Later Current Employees Apply via My Disney Career Explore Location

Akkodis is seeking a Data Scientist for a Contract job with a client in Seattle, WA(Hybrid). Ideal candidates excel in end-to-end UX research and turn insights into action, while leading projects and championing user needs across teams. Rate Range: $53/hour to $68/hour; The rate may be negotiable based on experience, education, geographic location, and other factors. Data Scientist job responsibilities include: * Analyze large, complex datasets to extract actionable insights and trends. * Build, test, and deploy predictive models and machine learning algorithms. * Communicate data-driven findings clearly to stakeholders and non-technical teams. * Collaborate with cross-functional teams including engineering, product, and design. * Design and conduct experiments to validate hypotheses and optimize outcomes. Desired Qualifications: * Bachelor's or master's degree in computer science, Statistics, Mathematics, or a related field. * 8+ years of professional experience in data science or a related analytical role. * Proficiency in Python, R, or similar programming languages for data analysis. * Strong understanding of machine learning techniques and statistical modeling. * Experience with data visualization tools such as Tableau, Power BI, or similar. * Familiarity with big data technologies like Spark, Hadoop, or cloud platforms (AWS, GCP, Azure). * Excellent communication skills with the ability to translate complex data into business insights. If you are interested in this role, then please click APPLY NOW. For other opportunities available at Akkodis, or any questions, feel free to contact me at **************************** Pay Details: $53.00 to $68.00 per hour Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, commuter benefits and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Equal Opportunity Employer/Veterans/Disabled Military connected talent encouraged to apply To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to ************************************************* The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: * The California Fair Chance Act * Los Angeles City Fair Chance Ordinance * Los Angeles County Fair Chance Ordinance for Employers * San Francisco Fair Chance Ordinance Massachusetts Candidates Only: 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.

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

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.

At MCG, we lead the healthcare community to deliver patient-focused care. We have a mission-driven team of talented physicians and technical experts developing our evidence-based content and innovating our products to accelerate improvements in healthcare. If you are driven to enhance the US healthcare system, MCG is eager to have you join our team. We cultivate a work environment that nurtures personal and professional growth, and this is a thrilling time to become a part of our organization. With dynamic roles that offer meaningful impact, you'll be able to fully realize your potential. Plus, you'll enjoy world-class benefits and the security, stability, and resources of our parent company, Hearst, with over 100 years of experience. As a Senior Data Engineer you will be responsible for enabling efficient and effective data ingestion & delivery systems. Our team collaborates with data producers (application teams) and data consumers/stakeholders (Data Science, Product, Analytics & Reporting teams) to ensure the availability, quality, and accessibility of data through robust pipelines and storage platforms. You will: Explore, analyze, and onboard data sets from data producers to ensure they are ready for processing and consumption. Develop and maintain scalable and efficient data pipelines for data collection, processing (quality checks, de-duplication, etc.), and integration into Data lake and Data warehouse systems. Optimize and monitor data pipeline performance to ensure minimal downtime. Implement data quality control mechanisms to maintain data set integrity. Collaborate with stakeholders for seamless data flow and address issues or needs for improvement. Manage the deployment and automation of pipelines and infrastructure using Terraform, Flyte, and Kubernetes. Support strategic data analysis and operational tasks as needed. Lead end-to-end data pipeline development - from initial data discovery and ingestion to transformation, modeling, and delivery into production-grade data platforms. Integrate and manage data from 3+ distinct sources, designing efficient, reusable frameworks for multi-source data processing and harmonization. What We're Looking For: Demonstrated ability to navigate ambiguous data challenges, ask the right questions, and design effective, scalable solutions. Proficient in designing, building, and maintaining large-scale, reliable data pipeline systems. Competence in designing and handling large-scale data pipeline systems. Advanced SQL skills for querying and processing data. Proficiency in Python, with experience in Spark for data processing. 3+ years of experience in data engineering, including data modeling and ETL pipelines. Familiarity with cloud-based tools and infrastructure management using Terraform and Kubernetes is a plus. Bonus: Experience working with healthcare and clinical data sets Experience with orchestration tools like Flyte Pay Range: $136,000 - $190,400 Other compensation: Bonus Eligible Perks & Benefits: 💻 Hybrid work ✈️ Travel expected 2-3 times per year for company-sponsored events 🩺 Medical, dental, vision, life, and disability insurance 📈 401K retirement plan; flexible spending and health savings account 🏝️ 15 days of paid time off + additional front-loaded personal days 🏖️ 14 company-recognized holidays + paid volunteer days 👶 up to 8 weeks of paid parental leave + 10 weeks of paid bonding leave 🌈 LGBTQ+ Health Services 🐶 Pet insurance 📣 Check out more of our benefits here: ******************************************* MCG Health is a Seattle, Washington-based company and is considering remote/hybrid candidates with some travel for company-sponsored events. The ideal candidate should be comfortable balancing the independence of remote/hybrid work with the collaborative opportunities offered by periodic in-person engagements. We embrace diversity and equal opportunity and are committed to building a team that represents a variety of backgrounds, perspectives, and skills. Only with diverse thoughts and ideas will we be able to create the change we want in healthcare. The more inclusive we are, the better our work will be for it. All roles at MCG are expected to engage in occasional travel to participate in team or company-sponsored events for the purposes of connection and collaboration. 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. MCG is a leading healthcare organization dedicated to patient-focused care. We value our employees' unique differences and are an Equal Employment Opportunity (EEO) employer. Our diverse workforce helps us achieve our goal of providing the right care to everyone. We welcome all qualified applicants without regard to race, religion, nationality, gender, sexual orientation, gender identity, age, marital status, veteran status, disability, pregnancy, parental status, genetic information, or political affiliation. We are committed to improving equity in healthcare and believe that a diverse workplace fosters curiosity, innovation, and business success. We are happy to provide accommodations for individuals. Please let us know if you require any 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 *

Pay rate range: $65/hour. to $70/hr. on W2 Location: Full-time on-site Must Have Qualifications: 5+ Java/J2EE, Angular, Cloud-AWS and EKS, BA is required in Computer Science or similar, able to work in a Unix environment, understanding of scripting. CICD is preferred. Job Description: We are seeking a highly skilled and experienced Senior Full Stack Developer with expertise in Angular and Java. The ideal candidate will have over 5 years of professional development experience and a strong understanding of both front-end and back-end technologies. Additional skills in AWS and EKS are highly desirable. Responsibilities: Develop and maintain high-quality web applications using Angular for front-end and Java for back-end services. Collaborate with cross-functional teams to define, design, and ship new features. Ensure the performance, quality, and responsiveness of applications. Identify and correct bottlenecks and fix bugs. Help maintain code quality, organization, and automation. Participate in code reviews and provide constructive feedback to team members. Continuously discover, evaluate, and implement new technologies to maximize development efficiency. Requirements: Bachelor's degree in Computer Science, Engineering, or a related field. Minimum of 5 years of experience in software development with Angular and Java. Proficiency in the Angular framework and its core principles. Strong knowledge of the Java programming language and related technologies. Experience with RESTful APIs and web services. Familiarity with version control systems such as Git. Understanding of Agile methodologies and best practices. Excellent problem-solving skills and ability to work independently. Strong communication skills and ability to work collaboratively in a team environment. Preferred Skills: Experience with AWS services and cloud architecture. Knowledge of Kubernetes and experience with EKS (Elastic Kubernetes Service). Familiarity with CI/CD pipelines and DevOps practices. Experience with containerization technologies like Docker. Experience with Shell Scripting, Unix Working Knowledge Experience with RDBMS like Oracle , Db2 , Sybase etc