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data scientist

SIDRAM TECHNOLOGIES

<div>
 
 Hi
 
 
 
 
 This is
 
 Rachael
 
 from SidRam Tech, We have an urgent position
 
 
 Sr Data Scientist @Seattle, Washington, with our Direct client. Kindly have a look at JD below and let me know your interest.
 
 
 
 
 Title: Sr Data Scientist
 
 
 
 
 Client: Savers Inc
 
 
 
 
 Location: Seattle, Washington,
 
 
 
 
 Preferred Hybrid, 2 Days a Week-
 
 
 
 Skills: Machine Learning, Azure Machine Learning, Artificial Intelligence, MLOps, AI Solution Architecture ,Microsoft Azure ,Microsoft Fabric
 
 
 Interview process: Two with Tavant + Client round
 
 
 Note: at least one in-person meeting is mandatory
 
 
 
 Job Description
 
 
 
 We are looking for a Senior Data Scientist with strong classical ML expertise to design, build, and operationalize predictive models within the
 
 Microsoft Fabric
 
 ecosystem. You will work on high-impact use cases spanning demand forecasting, risk scoring, and anomaly detection for large-scale retail environments &mdash; translating raw data signals into actionable business intelligence.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design and develop end-to-end classical ML pipelines &mdash; from feature engineering to model deployment and monitoring
 </li>
 <li>
 Build demand forecasting models leveraging external data signals (weather, events, seasonality) alongside historical sales data, at store/category/SKU level with 1&ndash;14 day horizons
 </li>
 <li>
 Develop ML-based risk scoring models across multiple fraud and exception scenarios, replacing manual rule-based processes with adaptive, dynamic thresholds
 </li>
 <li>
 Deliver daily prioritized outputs (investigation lists, inventory signals) that reduce detection and decision cycles from weeks to days
 </li>
 <li>
 Own model validation, threshold tuning, false positive reduction, and ongoing performance monitoring in production
 </li>
 <li>
 Collaborate with data engineers on feature pipelines using Microsoft Fabric Lakehouse, Dataflow Gen2, and OneLake
 </li>
 <li>
 Participate in iterative pilot-to-production delivery cycles with structured feedback incorporation
 </li>
 <li>
 Communicate model outputs and business impact clearly to both technical teams and business stakeholders
 
 
 </li>
 </ul>
 
 Required Skills &amp; Experience
 
 
 
 <ul>
 <li>
 8&ndash;12 years of hands-on Data Science experience with a strong foundation in classical ML
 </li>
 <li>
 Proficiency in supervised and unsupervised ML techniques &mdash; gradient boosting, regression, classification, anomaly detection, time-series forecasting (XGBoost, LightGBM, scikit-learn, Prophet, statsmodels)
 </li>
 <li>
 Strong hands-on experience with Microsoft Fabric &mdash; ML Experiments, Notebooks (Python/PySpark), Lakehouse, Pipelines, and Dataflow Gen2
 </li>
 <li>
 Solid Python programming skills with experience building production-grade ML code
 </li>
 <li>
 Experience with MLflow for experiment tracking, model registry, and lifecycle management (native within Fabric)
 </li>
 <li>
 Proven experience building time-series forecasting models at granular levels (store, SKU, or category)
 </li>
 <li>
 Experience with anomaly detection and risk/fraud scoring models in retail or financial domains
 </li>
 <li>
 Strong skills in feature engineering, cross-validation, model interpretability (SHAP, LIME), and drift detection
 
 
 </li>
 </ul>
 
 Nice To Have
 
 
 
 <ul>
 <li>
 Experience integrating external data enrichment sources (weather APIs, economic indicators, third-party signals)
 </li>
 <li>
 Familiarity with retail loss prevention, exception-based reporting, or shrinkage analytics
 </li>
 <li>
 Exposure to Power BI or Fabric-native reporting for operationalizing model outputs to business users
 </li>
 <li>
 Knowledge of Azure ML and its relationship with Microsoft Fabric ML capabilities
 </li>
 <li>
 Experience with irregular or non-reorderable inventory environments
 
 
 </li>
 </ul>
 
 Rachael
 
 
 
 
 IT Services | Development | Staffing
 
 
 
 
 URL: http:/www.sidramtech.com |
 
 
 
 
 Email: rachael@sidramtech.com
 
 
 
 
 Direct: 4705239688
 
 
 
 
 Led by 25+ Years of Industry Experience
 
 
 
 
 E-Verify&reg; is a registered trademark of the U.S. Department of Homeland Security.
 
 
 
 
 SIDRAM TECHNOLOGIES participates in the Employment Eligibility Verification Program (E-Verify) offered by USCIS.
 
 
 
 
 www.dhs.gov/E-Verify
 
</div>

Data Scientist

Boeing

<div>Seattle, Washington
Job ID JR2026501211 Category Data Science &amp; Analytics Role Type Onsite Post Date Mar. 31, 2026<div> 
</div><div>Job Description
At Boeing, we innovate and collaborate to make the world a better place. We&rsquo;re committed to fostering an environment for every teammate that&rsquo;s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.
The Boeing Company has a long tradition of aerospace leadership and innovation, and Boeing Global Services (BGS) continues this tradition today by delivering unparalleled aftermarket support and services for customers worldwide.
BGS-C Managed Services is currently looking for an ExperiencedData Scientist to join our team in Seattle, WA.
This position will focus on supporting the Boeing Global Services (BGS) business organization.
Position Responsibilities:<ul><li>
Performs defined data analytics tasks to meet business objectives.</li><li>
Applies standard methods and algorithms, validates results and performs necessary data preparation steps.</li><li>
Creation and maintenance of analysis conducted in R environment requiring understanding of R programming language.</li><li>
Develops Tableau dashboards requiring experience in SQL coding.</li><li>
Develops and maintains strategic partnerships with customers, stakeholders, peers, and direct reports</li><li>
Exercises critical thinking and innovative problem solving</li><li>
Test and develop model improvements</li><li>
Acts as the initial point of escalation for issues or challenges encountered by the team. Capable of effectively triaging and de-escalating issues with impacted parties</li><li>
Develops and executes project and process plans, implements policies and procedures and sets operational goals</li></ul>
Basic Qualifications (Required Skills/Experience)<ul><li>
Bachelor's degree or higher</li><li>
Minimum 5 years of experience in Data analytics</li><li>
Minimum of 3 years&rsquo; experience using or applying statistical and mathematical concepts to measure performance against projects to ensure high-quality delivery</li><li>
Travel is rare but occasionally required</li></ul>
This position must meet export control compliance requirements. To meet export control compliance requirements, a &ldquo;U.S. Person&rdquo; as defined by 22 C.F.R. &sect;120.15 is required. &ldquo;U.S. Person&rdquo; includes U.S. Citizen, lawful permanent resident, refugee, or asylee.
Preferred Qualifications (Desired Skills/Experience):<ul><li>
Experience working with SPM</li><li>
Python Programming language experience (ideally pandas, numpy, matplotlib)</li><li>
SQL coding experience; Leve2, 1-3 years; Level 3, 3+ years</li></ul><ul><li>
Demand forecasting and/or data simulation experience; specifically experience with inventory optimization modelling and usage of various distribution models</li></ul>
Conflict of Interest:<ul><li>
Successful candidates for this job must satisfy the Company&rsquo;s Conflict of Interest (COI) assessment process.</li></ul>
Drug Free Workplace:
Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.
Total Rewards &amp; Pay Transparency:
At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.
The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and several programs that provide for both paid and unpaid time away from work.
The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.
Pay is based upon candidate experience and qualifications, as well as market and business considerations.
Summary pay range: $137,700.00 - $186,300.00 

Applications for this position will be accepted until Apr. 08, 2026 

Export Control Requirements:
This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a &ldquo;U.S. Person&rdquo; as defined by 22 C.F.R. &sect;120.62 is required. &ldquo;U.S. Person&rdquo; includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.
Export Control Details:
US based job, US Person required
Education
Bachelor's Degree or Equivalent Required
Relocation
Relocation assistance is not a negotiable benefit for this position.
Visa Sponsorship
Employer will not sponsor applicants for employment visa status.
Shift
This position is for 1st shift 

Equal Opportunity Employer:
Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.</div></div>
 <div><h2 class="jobSectionHeader">Your Benefits</h2>
No matter where you are in life, our benefits help prepare you for the present and the future.
<ul><li><div>Generous company match to your 401(k).</div></li>
<li><div>Industry-leading tuition assistance program pays your institution directly.</div></li>
<li><div>Fertility, adoption, and surrogacy benefits.</div></li>
<li><div>Up to $10,000 gift match when you support your favorite nonprofit organizations.</div></li></ul> 

These programs are subject to eligibility requirements and other conditions, which may differ for employees of certain subsidiaries or business units, or union-represented employees depending on bargaining agreement terms. If this information conflicts with the program documents, the latter shall control. This material is informational only.</div>

Experienced Data Scientist

Amazon

<div>
 
 Description
 
 
 
 Are you passionate about solving unique customer-facing problems in the Amazon scale? Are you excited about utilizing statistical analysis, machine learning, data mining and leverage tons of Amazon data to learn and infer customer shopping patterns? Do you enjoy working with a diversity of engineers, machine learning scientists, product managers and user-experience designers? If so, you have found the right match!
 
 
 Fashion is extremely fast-moving, visual, subjective, and it presents numerous unique problem domains such as product recommendations, product discovery and evaluation. The vision for Amazon Fashion is to make Amazon the number one online shopping destination for Fashion customers by providing large selections, inspiring and accurate recommendations and customer experience.
 
 
 The NAS Shop and Keep (SHAKE) organization empowers customers to make confident, lasting purchase decisions by minimizing purchase anxiety and reducing returns. The NAS SHAKE science team advances this mission by innovating and developing scalable ML solutions tailored to these unique challenges. The team is hiring a Data Scientist who has a solid background in Statistical Analysis, Machine Learning and Data Mining and a proven record of effectively analyzing large complex heterogeneous datasets, and is motivated to grow professionally as a Data Scientist.
 
 
 Key job responsibilities
 
 
 <ul>
 <li>
 You will work on our Science team and partner closely with applied scientists, data engineers as well as product managers, UX designers, and business partners to answer complex problems via data analysis. Outputs from your analysis will directly help improve the performance of the ML based recommendation systems thereby enhancing the customer experience as well as inform the roadmap for science and the product.
 </li>
 <li>
 You can effectively analyze complex and disparate datasets collected from diverse sources to derive key insights, build segmentation models and improve customer experience by reducing retail returns.
 </li>
 <li>
 You have excellent communication skills to be able to work with cross-functional team members to understand key questions and earn the trust of senior leaders.
 </li>
 <li>
 You are able to multi-task between different tasks such as gap analysis of algorithm results, integrating multiple disparate datasets, doing business intelligence, analyzing engagement metrics or presenting to stakeholders.
 </li>
 <li>
 You thrive in an agile and fast-paced environment on highly visible projects and initiatives.
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 1+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
 </li>
 <li>
 2+ years of data/research scientist, statistician or quantitative analyst in an internet-based company with complex and big data sources experience
 </li>
 <li>
 1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience
 </li>
 <li>
 Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)
 </li>
 <li>
 Knowledge of statistical packages and business intelligence tools such as SPSS, SAS, S-PLUS, or R
 </li>
 <li>
 Knowledge of machine learning concepts and their application to reasoning and problem-solving
 </li>
 <li>
 Experience with clustered data processing (e.g., Hadoop, Spark, Map-reduce, and Hive)
 </li>
 <li>
 Experience applying quantitative analysis to solve business problems and making data-driven business decisions
 </li>
 <li>
 Usage of generative AI tools to enhance workflow efficiency, with a willingness to learn effective prompting and evaluation practices.
 </li>
 <li>
 Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences.
 
 
 </li>
 </ul>
 Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
 
 
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
 
 
 USA, WA, Seattle - 108,300.00 - 160,000.00 USD annually
 
 
 
 
 Company
 
 - Amazon.com Services LLC
 
 
 Job ID: A3206663
</div>

Data Scientist I, SHAKE

TikTok

Data analysis
 
TikTok Shop - Data Scientist - US L2L Operations
 
Location
 :
 
Seattle
 
Employment Type
 :
 
Regular
 
Job Code
 :
 
A94067
 
Responsibilities
 
We are looking to hire a Data Scientist to support the US L2L (Local to Local) Ops team, the largest business unit at US TikTok Shop responsible for executing category and vertical-specific strategies.
 
This role will play a key part in driving high-impact Data Science support for the organization, partnering closely with Ops leaders to inform strategy, improve execution, and scale data-driven decision-making across categories.
 
This role is also an opportunity to help shape the next phase of our Data Science organization, evolving towards an AI-first model, leveraging agentic systems and modern AI capabilities to transform how we operate and deliver impact.
 
What You'll Do
 <ul>
<li>Partner with US L2L (Local to Local) Ops leadership to drive data-informed strategy and execution across categories</li>
<li>Lead and execute high-impact analyses to diagnose performance and unlock growth opportunities</li>
<li>Build and scale analytical frameworks and data products to support operational decision-making</li>
<li>Develop AI-enabled workflows and tools (e.g., LLM-powered, agentic systems) to improve efficiency and insight generation</li>
<li>Translate complex data into clear, actionable insights for business stakeholders</li>
<li>Identify opportunities to automate and scale DS support through AI and reusable solutions</li>
<li>Collaborate closely with Data Engineering, Ops, and Platform teams to deliver end-to-end solutions</li>
<li>Contribute to shaping best practices, standards, and ways of working for an AI DS organization</li>
</ul>
Qualifications
 
Minimum Qualification(s): 
<ul>
<li>6+ years of experience in Data Science / Analytics / Applied ML with hands-on AI experience</li>
<li>Strong problem-solving skills with the ability to translate business problems into analytical solutions</li>
<li>Experience working with large-scale data and building end-to-end analyses or data products</li>
</ul>
Preferred Qualification(s): 
<ul>
<li>Exposure to or interest in AI/LLM systems and automation workflows (agentic systems is a strong plus)</li>
<li>Proven ability to operate in cross-functional, fast-paced environments</li>
<li>Strong communication skills and ability to influence stakeholders</li>
<li>High ownership mindset with the ability to drive ambiguous problems to impact</li>
</ul>
Job Information
 
【For Pay Transparency】Compensation Description (Annually)
 
The base salary range for this position in the selected city is $208050 - $355680 annually.
 
​
 
Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
 
​
 
Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
 
​
 
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
 
​
 
For Los Angeles County (unincorporated) Candidates: 
​
 
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
 
​
 
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
 
​
 
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
 
​
 
3. Exercising sound judgment.
 
​
 
About TikTok
 
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
 
​
 
Why Join Us
 
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
 
​
 
We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
 
​
 
​
 
Diversity & Inclusion
 
​
 
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
 
​
 
TikTok Accommodation
 
TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at
 
https://tinyurl.com/RA-request

TikTok Shop - Data Scientist - US L2L Operations

Data Engineer, Product Analytics

Liberty Mutual Insurance

<div>Description
<div>If you are passionate about data engineering and want an opportunity to work with the latest technologies, then Modeling Data Solutions has the position for you. 
Modeling Data Solutions is seeking experienced data analytics engineers to join its Personal Lines Property and Small Commercial Package teams in our Data Solutions job family. This is an exciting opportunity to join the US Data Science Infrastructure department helping to support creating cutting edge pricing programs. You will play a critical role in designing and developing the data solutions needed for research and development as well as providing front line data support in launching new products into market. You will collaborate with multiple stakeholders including data scientists and product analysts to gather requirements, design, and implement robust data solutions. 
**This role may have in-office requirements depending on candidate location.**
**This is a ranged posting, level offered will be based on skills and experience at manager discretion.** 
Responsibilities:<ul><li>
Design, develop, and optimize data pipelines and ETL processes to ensure high-quality data is available for analysis.</li><li>
Analyze complex datasets to identify trends, patterns, and actionable insights that drive business performance.</li><li>
Implement data quality checks and governance best practices to ensure data accuracy and reliability.</li><li>
Utilize python, Spark, and SQL queries to extract, transform, and analyze data from various sources.</li><li>
Work closely with cross-functional teams to understand their analytical needs and provide tailored solutions that meet business objectives.</li><li>
Stay current with industry trends, emerging tools, and best practices in data analytics and engineering to continuously enhance analytical capabilities.</li></ul></div>
Qualifications<div><ul><li>
Strong written and oral communication skills required</li><li>
Bachelor`s Degree in Computer Science, Computer Engineering, or related discipline preferred</li><li>
Master`s in same or related disciplines strongly preferred</li><li>
3-5 years experience in coding for data management, data warehousing, or other data environments, including, but not limited to, working in Python, SQL, ETL, Spark, Snowflake.</li></ul></div>
About Us
Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role. 
 
At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve. 
 
We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://LMI.co/Benefits 
 
Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law. 
 
Fair Chance Notices<ul><li>
California</li><li>
Los Angeles Incorporated</li><li>
Los Angeles Unincorporated</li><li>
Philadelphia</li><li>
San Francisco</li></ul></div>

Senior Data Analytics Engineer

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
Join the Amazon Payments Products - North America Credit (APD-NAC) Data Engineering team, where we build the data infrastructure powering Amazon's credit card businesses. Our team delivers data-driven solutions that impact millions of customers across Amazon's payment ecosystem. We're a high-performing team that consistently delivers while maintaining zero-defect standards through rigorous engineering practices. We're at the forefront of AI-first transformation, implementing cutting-edge automation solutions and next-generation data architectures that drive measurable productivity gains. Our work spans above and beyond the critical business areas such as customer acquisition, fraud detection, product recommendations, financial and executive reporting. 
 
As a Data Engineer II, you'll work on high-impact projects (targeting millions of customers), large-scale customer acquisition initiatives, and fraud detection platforms. You'll collaborate with Product Managers, Data Scientists, Business Intelligence Engineers, UX Designers, Software Development Engineers, GMs, and other cross-functional engineering teams to solve complex data challenges at massive scale while driving innovation through AI-powered automation. 
 
Key job responsibilities 
Design, build, and optimize logical data models and data pipelines for complex datasets 
Own ongoing data quality and create self-service access to datasets for business intelligence 
Work on major portions of existing or new data architecture within the team 
Collaborate with Software Development Engineers and other Data Engineers to design stable, performant data solutions 
Write secure, stable, testable, and maintainable code with minimal defects 
Apply appropriate data design approaches and make judicious trade-offs without over-engineering 
Optimize resource usage including system hardware, data storage, query optimization, and AWS infrastructure 
Participate actively in code reviews, design discussions, and team planning 
Mentor and train junior team members and new peers 
Resolve root causes of complex problems and balance customer requirements with team needs 
Stay current on distributed systems technologies (MapReduce, MPP architectures, NoSQL databases) 
 
A day in the life 
As a DE II, you'll leverage your expertise in distributed systems and data technologies to solve difficult problems and contribute meaningfully to the team's data architecture while maintaining high standards of operational excellence.<h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>3+ years of data engineering experience</li><li>4+ years of SQL experience</li><li>Experience with data modeling, warehousing and building ETL pipelines</li><li>Experience with at least one programming language (Python, Java, Scala).</li><li>Proven ability to work with large-scale datasets and optimize performance</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions</li><li>Knowledge of non-relational databases (DynamoDB, document stores, graph databases)</li><li>Bachelor's degree in Computer Science, Engineering, or related technical field</li><li>Experience with big data frameworks: Spark, Hadoop, Hive.</li><li>Experience with real-time/streaming data architectures (Kafka, Kinesis, Flink)</li><li>Familiarity with CI/CD pipelines and infrastructure-as-code</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, WA, Seattle - 132,100.00 - 178,800.00 USD annually</div>

Data Engineer II, Amazon Payment Products

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