customer engineer, data management, retail, google cloud

customer success engineer - database (2nd shift)

data analytics engineer - apple services engineering

data engineer 2, customer insights delivery (hybrid - seattle, wa)

data engineer

customer engineer, data management, retail, google cloud Jobs in Seattle

customer success engineer - database (2nd shift) Jobs in Seattle

data analytics engineer - apple services engineering Jobs in Seattle

data engineer 2, customer insights delivery (hybrid - seattle, wa) Jobs in Seattle

data platform engineer

Apple

<div>People at Apple don't just build products - they craft the kind of experience that has revolutionized entire industries. The diverse collection of our people and their ideas inspire innovation in everything we do. Imagine what you could do here! Join Apple, and help us leave the world better than we found it. 
 
The Analytics Platforms &amp; Experiences (APX) team is at the forefront of revolutionising Data Engineering. We drive significant increases in efficiency and productivity through a flawless ecosystem of frameworks and products that unlock observability, knowledge and enable data quality-driven orchestration at scale. APX is part of the broader Apple Services Engineering division that powers App Store, Apple TV+, Apple Music, Apple Podcasts, Apple Books, Fitness+, the iTunes Store and more. 
 
The APX Bedrock team is the foundational platform layer within APX, responsible for building the systems and services that underpin data engineering excellence across the organization. We are seeking a Senior Software Data Engineer who brings deep technical expertise and the strategic thinking to shape the future of our data engineering platform. In this role, you will influence the broader technical vision, drive platform-wide architectural decisions, and establish patterns that raise the engineering bar across the organization. You will bridge hands-on engineering excellence with forward-looking platform thinking, working alongside architects and cross-functional teams to transform how data engineers work at Apple. 
 
Description 
 
As a Senior Software Data Engineer on the APX Bedrock team, you will be a highly impactful technical contributor who combines deep engineering craftsmanship with platform-wide thinking. You will own critical platform components end-to-end while actively shaping the technical direction of the team and influencing the broader organization. 
 
<ul><li>Lead design and implementation of core platform services supporting data application authoring, metadata management, dataset lifecycle tracking, and orchestration at scale</li></ul> 
<ul><li>Architect and build high-performance Java-based backend services and APIs that form the backbone of the data engineering platform</li></ul> 
<ul><li>Own data modeling and database design decisions, establishing best practices for schema design, indexing strategies, and query optimization across relational and non-relational data stores</li></ul> 
<ul><li>Design and operate scalable data processing pipelines using Apache Spark, Apache Flink, and modern orchestration frameworks</li></ul> 
<ul><li>Proactively identify architectural gaps and drive initiatives that improve platform scalability, reliability, and developer experience</li></ul> 
<ul><li>Define engineering standards and patterns adopted across the broader team and organization</li></ul> 
<ul><li>Evaluate emerging technologies and contribute to strategic decisions that shape the platform roadmap</li></ul> 
<ul><li>Mentor engineers across experience levels and drive a culture of technical excellence</li></ul> 
<ul><li>Leverage AI-powered development tools and help define how AI-augmented workflows are adopted and scaled within the team</li></ul> 

Preferred Qualifications 
 
Experience with non-relational or NoSQL databases and strong intuition for applying the right data storage paradigms 
 
Proficiency in Scala, Go, or Python as complementary programming languages 
 
Deep experience with container orchestration tools such as Kubernetes and cloud-native infrastructure patterns 
 
Hands-on experience with AI-powered development tools (e.g., Claude Code, Copilot) and building AI-augmented engineering workflows 
 
Experience architecting data quality monitoring, metadata management, or dataset lifecycle management systems at scale 
 
Strong background in streaming, real-time data processing, and event-driven architectures 
 
Track record of mentoring senior engineers and driving technical excellence across teams 
 
Strong communication skills with the ability to present complex technical strategies to senior leadership 
 
Minimum Qualifications 
 
Bachelor's or Master's Degree in Computer Science, Engineering, or equivalent professional experience 
 
8+ years of software engineering experience with significant focus on data platform or large-scale distributed systems 
 
Expert-level Java programming with a strong track record of architecting and delivering complex, production-grade backend services 
 
Deep experience with relational databases including advanced data modeling, schema design, and query optimization at scale 
 
Expert-level experience with Apache Spark and Apache Flink, and distributed data technologies including Hadoop, HDFS, and Kafka 
 
Extensive experience designing and operating workflow orchestration systems such as Apache Airflow at enterprise scale 
 
Proven ability to drive end-to-end technical ownership of complex platform initiatives and influence technical direction beyond immediate team scope 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $139,500 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</div>

Senior Software Data Engineer

Whatnot

<div>
 
 
 🚀 Join the Future of Commerce with Whatnot!
 
 
 
 
 Whatnot is the largest livestream shopping platform in North America and Europe to buy, sell, and discover the things you love. Whether it's trading cards, fashion, electronics, or live plants, our sellers are building real businesses across hundreds of categories. We're building live commerce at a scale that's never been done in the West, and there's no playbook to copy. The people here are shaping how an entirely new industry develops.
 
 
 As a remote co-located team, we're inspired by our values and anchored in hubs across the US, UK, Ireland, Poland, Germany, and Australia. We move fast, stay close to our users, and focus on the work that drives the most impact.
 
 
 We're one of the fastest growing marketplaces and were recently named the #1 Best Startup Employer in America by Forbes. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business and bring people together through commerce.
 
 
 
 💻 Role
 
 
 
 Data is crucial to Whatnot&rsquo;s mission to bring people together through commerce.
 
 
 As our newest
 
 Data Engineer
 
 , you&rsquo;ll build and scale the systems that power data-driven decisions across the company. You&rsquo;ll work directly with stakeholders across the business &ndash; such as product, sales, marketing, finance, and trust teams &ndash; to design reliable data architectures, ship resilient pipelines, and create the foundational data products that power Whatnot&rsquo;s internal and external growth.
 
 
 
 On Any Given Day, You Will
 
 
 
 <ul>
 <li>
 Own data architecture end-to-end. Define how we capture, model, and serve critical business data&mdash;then implement it in production. You&rsquo;ll make architectural decisions around storage formats, compute patterns, and SLAs that balance cost, scalability, and consistency.
 </li>
 <li>
 Build mission-critical pipelines. Develop and operate streaming and batch data workflows that process high-volume events across multiple domains&mdash;user activity, transactions, experimentation, marketing performance, and operational telemetry&mdash;with tight guarantees for latency, completeness, and accuracy.
 </li>
 <li>
 Design and implement canonical models. Create domain-oriented data models that serve as the source of truth for analytics, ML, and real-time applications. Establish and enforce modeling standards, ownership boundaries, and data contracts across teams.
 </li>
 <li>
 Enforce data quality at scale. Build tests, lineage, monitoring, and reconciliation systems that make every dataset observable and every anomaly actionable.
 </li>
 <li>
 Automate operational workflows. Partner with business systems and platform teams to eliminate manual data handoffs and reconcile data across services, warehouses, and external systems.
 </li>
 <li>
 Enable insights and experimentation. Support analytics, ML, and product engineering teams by exposing high-quality, low-latency data through semantic layers, APIs, and real-time query systems.
 
 
 </li>
 </ul>
 Due to the cross-functional nature of this role, candidates will be matched to multiple teams based on need and experience, including product, analytics, or data platforms teams.
 
 
 
 👋 You
 
 
 
 People who do well at Whatnot tend to be comfortable figuring things out as they go, biased toward action, and genuinely curious about what they're building. They care more about outcomes than credit and stay close to the product and the people using it.
 
 
 <ul>
 <li>
 Have 3+ years of experience as a data or software engineer building data warehouses, distributed data systems, or event-driven architectures.
 </li>
 <li>
 Can design and implement data models using dimensional, Data Vault, or ledger-style techniques that support analytical and transactional workloads.
 </li>
 <li>
 Have deep hands-on expertise with modern data tooling across ingestion (e.g., Kafka, Debezium), transformation (dbt, Spark, Flink), orchestration (Dagster, Airflow), and observability (Monte Carlo, Great Expectations).
 </li>
 <li>
 Have operated cloud data warehouses such as Snowflake, BigQuery, or Redshift, including schema design, cost optimization, and workload tuning.
 </li>
 <li>
 Are comfortable writing production-grade code in Python or SQL languages, and integrating with CI/CD and infrastructure-as-code workflows.
 </li>
 <li>
 Enjoy partnering across disciplines&mdash;engineering, product, analytics&mdash;to translate messy business requirements into elegant data systems.
 </li>
 <li>
 Thrive as a self-starter in a fast-moving environment, owning both the technical design and the operational outcomes of your work.
 
 
 </li>
 </ul>
 If designing the data backbone that powers Whatnot&rsquo;s growth, insights, and product innovation excites you, we&rsquo;d love to meet you.
 
 
 
 We offer flexibility to work from home or from one of our global office hubs, and we value in-person time for planning, problem-solving, and connection. Team members in this role must live within commuting distance of our New York, Seattle, Los Angeles, and San Francisco hubs.
 
 
 
 
 💰Compensation
 
 
 
 
 For Full-Time (Salary)
 
 
 
 
 US based applicants:
 
 $180,000/year to $260,000/year + benefits + equity.
 
 
 The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills, and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity.
 
 
 
 🎁 Benefits
 
 
 
 <ul>
 <li>
 Generous Holiday and Time off Policy
 </li>
 <li>
 Health Insurance options including Medical, Dental, Vision
 </li>
 <li>
 Work From Home Support
 </li>
 <ul>
 <li>
 Home office setup allowance
 </li>
 <li>
 Monthly allowance for cell phone and internet
 </li>
 </ul>
 <li>
 Care benefits
 </li>
 <ul>
 <li>
 Monthly allowance for wellness
 </li>
 <li>
 Annual allowance towards Childcare
 </li>
 <li>
 Lifetime benefit for family planning, such as adoption or fertility expenses
 </li>
 </ul>
 <li>
 Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally
 </li>
 <li>
 Monthly allowance to dogfood the app
 </li>
 <ul>
 <li>
 All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!).
 </li>
 </ul>
 <li>
 Parental Leave
 </li>
 <ul>
 <li>
 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence.
 </li>
 </ul>
 </ul>
 
 
 💛 EOE
 
 
 
 
 Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce.
 
 
 Compensation Range: $180K - $260K
 
 
</div>

Data Engineer

TikTok

<div>
 
 Responsibilities
 
 
 As a data engineer in the Data Platform E-Commerce team, you will have the opportunity to build, optimize and grow one of the largest data platforms in the world. You'll have the opportunity to gain hands-on experience on all kinds of systems in the data platform ecosystem. Your work will have a direct and huge impact on the company's core products as well as hundreds of millions of users.
 
 
 Responsibilities - What You'll Do
 
 &bull; Design and build data transformations efficiently and reliably for different purposes (e.g. reporting, growth analysis, multi-dimensional analysis);
 
 &bull; Design and implement reliable, scalable, robust and extensible big data systems that support core products and business;
 
 &bull; Establish solid design and best engineering practice for engineers as well as non-technical people.
 
 
 
 Qualifications
 
 
 Minimum Qualifications:
 
 &bull; BS or MS degree in Computer Science or related technical field or equivalent practical experience;
 
 &bull; Experience in the Big Data technologies(Hadoop, M/R, Hive, Spark, Metastore, Presto, Flume, Kafka, ClickHouse, Flink etc.);
 
 &bull; Experience with performing data analysis, data ingestion and data integration;
 
 &bull; Experience with ETL(Extraction, Transformation &amp; Loading) and architecting data systems;
 
 &bull; Experience with schema design, data modeling and SQL queries;
 
 &bull; Passionate and self-motivated about technologies in the Big Data area.
 
 
 
 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.&ZeroWidthSpace;
 
 
 
 
 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 &ndash; 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.&ZeroWidthSpace;
 
 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.&ZeroWidthSpace;
 
 &ZeroWidthSpace;
 
 Diversity &amp; Inclusion&ZeroWidthSpace;
 
 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.&ZeroWidthSpace;
 
 
 
 
 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&ZeroWidthSpace;
 
 
 
 
 Job Information
 
 
 【For Pay Transparency】Compensation Description (Annually)
 
 The base salary range for this position in the selected city is $148200 - $300960 annually.&ZeroWidthSpace;
 
 Compensation may vary outside of this range depending on a number of factors, including a candidate&rsquo;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.&ZeroWidthSpace;
 
 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).&ZeroWidthSpace;
 
 The Company reserves the right to modify or change these benefits programs at any time, with or without notice.&ZeroWidthSpace;
 
 For Los Angeles County (unincorporated) Candidates:&ZeroWidthSpace;
 
 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:&ZeroWidthSpace;
 
 1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;&ZeroWidthSpace;
 
 2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and&ZeroWidthSpace;
 
 3. Exercising sound judgment.&ZeroWidthSpace;
</div>

Data Engineer, E-Commerce

Headspace

<div>About the Senior Data Engineer at Headspace:

As a Senior Data Engineer at Headspace, you will help build the modern data platform that powers personalized, ethical, and scalable mental health support for millions of members. In this role, you will design and implement robust data pipelines, partner closely with analytics, data science, and engineering teams, and help create a secure, compliant, and privacy-focused data foundation. This is an opportunity to do high-impact work at the intersection of data, innovation, and mission&mdash;enabling smarter decisions, better member experiences, and the future of personalized mental health care.
What you will do:
<ul>
<li>Contribute to architecture and implement robust data pipelines to ingest, aggregate, and index diverse data sources into the organization's data lake</li>
<li>Drive the creation of a secure, compliant, and privacy-focused data warehousing solution tailored to meet the healthcare industry's stringent requirements</li>
<li>Partner with the data analytics team to deliver a data platform that supports accurate, actionable reporting on key business metrics</li>
<li>Collaborate with the data science and machine learning teams to build tools and capabilities that foster rapid experimentation and innovation</li>
<li>Support peers and champion a culture that values data as a strategic asset across the organization</li>
</ul>
What you will bring:

Required Skills:
<ul>
<li>4+ years of proven success designing and implementing large-scale data systems</li>
<li>Strong understanding of core python, its tooling (pip, poetry, popular frameworks like pytest or pydantic)</li>
<li>Strong pyspark experience (dataframe API) and understanding of internal architecture and optimization techniques</li>
<li>Existing experience with Databricks is preferred or experience with Redshift and/or Snowflake</li>
<li>Demonstrated expertise in architectural patterns for building high-volume ETL pipelines</li>
<li>Experience with data modelling, Medallion architecture, pipeline design, metrics calculation and technical documentation</li>
<li>Exceptional oral and written communication abilities, facilitating effective cross-functional collaboration</li>
<li>BA/BS degree in Computer Science, Engineering, or a related field, or equivalent practical experience</li>
</ul>
Preferred Skills:
<ul>
<li>Experience in deployment and infrastructure management using Terraform is a plus</li>
<li>Prior experience implementing governance, privacy, and security frameworks across a data platform</li>
<li>Familiarity with the complexities of PII/PHI data, HIPAA, and biometrics data</li>
<li>Experience migrating or working with DBT for transformations, documentation, and lineage tracking</li>
<li>Experience in developing AI-ready architecture, such as creating semantic layers that standardize business logic for Agentic AI enablement</li>
</ul>
Location: We are currently hiring this role in the US. Candidates must permanently reside in the US full-time and be based in these cities. 
For candidates with a primary residence in the greater SF area, this role will follow our hybrid model. You'll work 3 days per week from our office, allowing for impactful in-office collaboration and connection, while enjoying the flexibility of remote work for the rest of the week. Your recruiter will share more details about our hybrid model. 

Pay &amp; Benefits:

The anticipated new hire base salary range for this full-time position is $122,400-$195,500 + equity + benefits.

Our salary ranges are based on the job, level, and location, and reflect the lowest to highest geographic markets where we are hiring for this role within the United States. Within this range, individual compensation is determined by a candidate's location as well as a range of factors including but not limited to: unique relevant experience, job-related skills, and education or training. 
Your recruiter will provide more details on the specific salary range for your location during the hiring process.

At Headspace, base salary is but one component of our Total Rewards package. We're proud of our robust package inclusive of: base salary, stock awards, comprehensive healthcare coverage, monthly wellness stipend, retirement savings match, lifetime Headspace membership, generous parental leave, and more. Additional details about our Total Rewards package will be provided during the recruitment process.

About Headspace

Headspace exists to provide every person access to lifelong mental health support. We combine evidence-based content, clinical care, and innovative technology to help millions of members around the world get support that's effective, personalized, and truly accessible whenever and wherever they need it.

At Headspace, our values aren't just what we believe, they're how we work, grow, and make an impact together. We live them daily: Make the Mission Matter, Iterate to Great, Own the Outcome, and Connect with Courage. These values shape our decisions, guide our collaborations, and define our culture. They're our shared commitment to building a more connected, human-centered team&mdash;one that's redefining how mental health care supports people today and for generations to come.

Why You'll Love Working Here:
<ul>
<li>A mission that matters&mdash;with impact you can see and feel</li>
<li>A culture that's collaborative, inclusive, and grounded in our values</li>
<li>The chance to shape what mental health care looks like next</li>
<li>Competitive pay and benefits that support your whole self</li>
</ul>
How we feel about Diversity, Equity, Inclusion and Belonging:

Headspace is committed to bringing together humans from different backgrounds and perspectives, providing employees with a safe and welcoming work environment free of discrimination and harassment. We strive to create a diverse &amp; inclusive environment where everyone can thrive, feel a sense of belonging, and do impactful work together.

As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, family or parental status, disability*, age, veteran status, or any other status protected by the laws or regulations in the locations where we operate. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our workplace.
<ul><li>Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Headspace. Please inform our Talent team by filling out this form if you need any assistance completing any forms or to otherwise participate in the application or interview process.</li></ul>

Headspace participates in the E-Verify Program.

Privacy Statement

All member records are protected according to our Privacy Policy. Further, while employees of Headspace (formerly Ginger) cannot access Headspace products/services, they will be offered benefits according to the company's benefit plan. To ensure we are adhering to best practice and ethical guidelines in the field of mental health, we take care to avoid dual relationships. A dual relationship occurs when a mental health care provider has a second, significantly different relationship with their client in addition to the traditional client-therapist relationship&mdash;including, for example, a managerial relationship.
As such, Headspace requests that individuals who have received coaching or clinical services at Headspace wait until their care with Headspace is complete before applying for a position. If someone with a Headspace account is hired for a position, please note their account will be deactivated and they will not be able to use Headspace services for the duration of their employment.

Further, if Headspace cannot find a role that fails to resolve an ethical issue associated with a dual relationship, Headspace may need to take steps to ensure ethical obligations are being adhered to, including a delayed start date or a potential leave of absence. Such steps would be taken to protect both the former member, as well as any relevant individuals from their care team, from impairment, risk of exploitation, or harm.

For how how we will use the personal information you provide as part of the application process, please see: https://www.headspace.com/applicant-notice</div>

Senior Data Engineer

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
Amazon&rsquo;s Selling Partner Insights and Analytics (SPIA) organization is seeking an experienced Data Engineer (DE) who will be a key contributor in architecting and building data platforms that directly impact sellers experience on Amazon. If you are a self-starter, someone who thrives in a fast-paced and ever-changing environment, with an uncanny knack and passion for developing data intensive applications, then you are the right candidate for our team. Join us at the Central analytics Team of Amazon's Selling Partner (SP) Support Org and become part of a global team that is redefining the future of e-commerce. With access to vast amounts of data, and big focus on AI/LLM, you will have the opportunity to make a meaningful impact on the way data is accessed across SPS. Together, we will drive innovation, solve complex problems, and shape the future of e-commerce 
 
Key job responsibilities 
As a Data Engineer in the Selling Partner (SP) Support Organization, you will work in one of its most dynamic and challenging spaces. You will design, implement and support scalable data infrastructure solutions that integrate diverse data sources, aggregate and curate data for reporting, analysis and LLM models. Working with native AWS technologies, you will create pragmatic solutions while maintaining appropriate complexity levels.
 
 
Your role requires excellent business and communication skills to collaborate effectively with business owners and technical leaders. You will gather infrastructure requirements, design data architecture, and build data pipelines and datasets to meet business needs. Additionally, you will be responsible for creating coherent logical data models that drive physical design.
 
 
In this role, you will focus on designing scalable architectures for robust applications and pipelines. You will need to make appropriate trade-offs, reuse where possible, and be judicious about introducing dependencies. Staying current with emerging technologies and implementing them where appropriate will be essential for success in this role.
 
 
A day in the life 
A day in the life of Data Engineer is equally interesting and challenging. The interesting part is learning about business, ever expanding databases and codebases, internal tech stack for builders, AWS and many more. The challenging part of a data engineer's life is to apply these learnings in building robust and reliable data applications. A DE will be involved in driving both business and technical related discussions and making several key decisions contributing to the success of Selling Partner Operations and Business teams. 
 
About the team 
Selling Partner Insights and Analytics team's (SPIA) vision is to provide data and insights to accelerate stakeholder&rsquo;s data-driven decisions. Our mission is to make it easier and faster for our internal customers to use analytics to shorten the path from data to insights. The business intelligence world is experiencing a fundamental shift from traditional reporting to predictive and prescriptive analytics. For SPIA, this means building a foundation that can support both current needs and future innovations.<h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>2+ years of data engineering experience</li><li>Experience with data modeling, warehousing and building ETL pipelines</li><li>Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)</li><li>Experience with one or more scripting language (e.g., Python, KornShell)</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience with big data technologies such as: Hadoop, Hive, Spark, EMR</li><li>Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions</li><li>Experience with at least one modern language such as Java, Python, C++, or C# including object-oriented design</li><li>Knowledge of software engineering best practices across the development life cycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations</li><li>Knowledge of distributed systems as it pertains to data storage and computing</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 - 101,300.00 - 160,000.00 USD annually</div>

Data Engineer, Selling Partner Insights and Analytics

Rippling

<div><h2 class="jobSectionHeader">About Rippling</h2>
Rippling gives businesses one place to run HR, IT, and Finance. It brings together all of the workforce systems that are normally scattered across a company, like payroll, expenses, benefits, and computers. For the first time ever, you can manage and automate every part of the employee lifecycle in a single system. 
Take onboarding, for example. With Rippling, you can hire a new employee anywhere in the world and set up their payroll, corporate card, computer, benefits, and even third-party apps like Slack and Microsoft 365&mdash;all within 90 seconds. 
Based in San Francisco, CA, Rippling has raised $1.4B+ from the world&rsquo;s top investors&mdash;including Kleiner Perkins, Founders Fund, Sequoia, Greenoaks, and Bedrock&mdash;and was named one of America's best startup employers by Forbes. 
We prioritize candidate safety. Please be aware that all official communication will only be sent from @Rippling.com addresses.<h2 class="jobSectionHeader"> 
About the role</h2>
Rippling processes multi-billions of dollars in annual transaction volume, serving as the financial engine for businesses worldwide. As a Staff Engineer on the broader Financial Services team, you will join a lean, high-impact group responsible for the architecture that moves this money. 
We&rsquo;re looking for a Staff Software Engineer to anchor our new Money Movement &amp; Treasury architecture hub in Seattle. You will own the design and implementation of our deterministic, config-driven, and incrementally testable ledger architecture. You will be the technical authority ensuring 100% ledger coverage to act as the final guardrail for all tax and payment liabilities.<h2 class="jobSectionHeader"> 
What you will do</h2><ul><li>
Architect the Foundation: Redesign our General Ledger and reconciliation systems to eliminate silent failures and to be deterministic.</li><li>
Unify the Abstraction: Establish universal primitives across various historically disjointed payment systems to create a single, queryable lifecycle for every dollar moving through our platform.</li><li>
Build the Engine: Develop a reconciliation replay and testing framework, working closely with the payments data team to replace legacy Snowflake-side recon logic.</li><li>
Technical Leadership: Anchor the Seattle site, mentoring a pod of high-performing Senior engineers to build an execution layer decoupled from product feature velocity.</li><li>
Cross Functional Execution: The engineer will work closely and collaborate with the Payments Data, Tax, and Accounting team to understand ledger, tax liability, accounting and regulatory reporting requirements, and to replace legacy Snowflake-side reconciliation logic by developing a reconciliation replay and testing framework.</li></ul><h2 class="jobSectionHeader">
What you will need</h2><ul><li>
Experience: 8+ years of professional software engineering experience, with a strong track record in backend development and distributed systems.</li><li>
Architecture: Proven ability to design large-scale, fault-tolerant systems from scratch. You understand the trade-offs between consistency and availability and know when &quot;eventual consistency&quot; is not enough.</li><li>
High Agency: You thrive in ambiguity. You don't wait for a ticket to be assigned; you identify the business problem, scope the technical solution, and execute.</li><li>
Domain Agility: You have the intellectual curiosity to master the complex domain of treasury and money movement in a matter of days, even if you don't have a background in it.</li><li>
Tech Stack: Deep proficiency in a modern backend language (Python, Go, Java, etc.) plus experience with complex data modeling (SQL/NoSQL) and data processing framework (Spark/Flink).</li></ul><h2 class="jobSectionHeader">
Additional Information</h2>
Rippling is an equal opportunity employer. We are committed to building a diverse and inclusive workforce and do not discriminate based on race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other legally protected characteristics, Rippling is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation, please email accommodations@rippling.com 
Rippling highly values having employees working in-office to foster a collaborative work environment and company culture. For office-based employees (employees who live within a defined radius of a Rippling office), Rippling considers working in the office, at least three days a week under current policy, to be an essential function of the employee's role. 
This role will receive a competitive salary + benefits + equity. The salary for US-based employees will be aligned with one of the ranges below based on location; see which tier applies to your location here. 
A variety of factors are considered when determining someone&rsquo;s compensation&ndash;including a candidate&rsquo;s professional background, experience, and location. Final offer amounts may vary from the amounts listed below. 
The pay range for this role is: 
189,000 - 330,750 USD per year(US Tier 1)</div>

Staff Software Engineer - Financial Ledger Systems

Persistent Systems

<div><div><div>Job Description
</div><div><div><div>
About Persistent 

We are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what&rsquo;s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world, including 20 Fortune 50 companies and 4 of the 5 top banks in both the US and India, and numerous innovators across the healthcare ecosystem. 

Our disruptor&rsquo;s mindset, commitment to client success, and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum. Persistent has been recognized across top industry platforms for innovation, leadership, and inclusion. We have delivered 23 sequential quarters of growth with $422.5M in Q3 FY26 revenue, up 4.0% Q-o-Q and 17.3% Y-o-Y growth. Our 26,500+ global team members, located in 18 countries, have been instrumental in helping the market leaders transform their industries. We won the 2025 ISG Star of Excellence&trade; Award for AI and Data Excellence and were named a Leader in the Everest Group Talent Readiness for Next-generation Data, Analytics and AI Services PEAK Matrix&reg; Assessment 2025. 

About Position: 

We are seeking an experienced Data Engineer to join our team in Seattle, Washington. In this role, you will be responsible for designing, building, and optimizing scalable data pipelines and backend data solutions that support analytics, reporting, and business operations. You will work with modern Azure cloud technologies&mdash;including Azure Data Factory, Databricks, and Azure SQL Server&mdash;to implement robust ETL/ELT workflows and data models. This position requires strong backend development experience, excellent problem‑solving skills, and the ability to collaborate effectively with cross‑functional teams in an agile environment. 

<ul><li>Role: Data Engineer</li>
<li>Job Location: Seattle, Washington, United States</li>
<li>Experience: 5+ Years</li>
<li>Job Type: Full Time Employment</li></ul> 

What You'll Do: 

<ul><li>Design, develop, and maintain scalable data pipelines and backend data solutions using Python and Azure cloud services.</li>
<li>Build and optimize ETL/ELT workflows using Azure Data Factory and Azure Databricks.</li>
<li>Develop and maintain data models, warehouse structures, and integration layers to support analytics and business intelligence.</li>
<li>Work with Azure SQL Server and related cloud data services to create efficient, secure, and reliable data storage solutions.</li>
<li>Collaborate closely with data analysts, architects, and business teams to understand data requirements and deliver high‑quality solutions.</li>
<li>Implement best practices in code quality, performance optimization, and DevOps automation.</li>
<li>Troubleshoot and resolve complex data processing issues, ensuring reliability and accuracy across the data ecosystem.</li>
<li>Participate in Agile ceremonies and contribute to continuous improvement within the engineering team.</li></ul> 

Expertise You'll Bring: 

<ul><li>5+ years of experience in backend and database development within the IT industry.</li>
<li>Strong hands-on expertise in data engineering, with deep technical skills in Python, Azure Data Factory, Azure Databricks, and Azure SQL Server.</li>
<li>Solid understanding of data modeling, data warehousing concepts, and ETL/ELT pipeline development.</li>
<li>Working knowledge or exposure to Azure Synapse Analytics (added advantage).</li>
<li>Experience working within Agile delivery models and familiarity with DevOps practices, CI/CD, and automation.</li>
<li>Strong analytical and problem‑solving abilities with the capability to design, implement, and optimize complex data-processing solutions.</li>
<li>Ability to collaborate effectively with cross-functional teams, ensuring smooth communication and alignment across engineering, analytics, and business teams.</li>
<li>Good written and verbal communication skills, with a proactive and solution-oriented approach.</li></ul> 

Benefits: 

<ul><li>Competitive salary and benefits package</li>
<li>Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications</li>
<li>Opportunity to work with cutting-edge technologies</li>
<li>Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards</li>
<li>Annual health check-ups</li>
<li>Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents</li></ul> 

Values-Driven, People-Centric &amp; Inclusive Work Environment: 

Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds. 

<ul><li>We support hybrid work and flexible hours to fit diverse lifestyles.</li>
<li>Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.</li>
<li>If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment</li></ul> 

Let&rsquo;s unleash your full potential at Persistent - persistent.com/careers 

&ldquo;Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.&rdquo;
</div></div></div></div><div></div><div><div><div>1</div><div><div>
Open Positions
</div></div></div></div><div><div><div>Database,Cloud - Microsoft Azure DevOps</div><div><div>
Skills Required
</div></div></div></div><div><div><div>Seattle, WA, USA</div><div><div>
Location
</div></div></div></div><div><div><div>Database,Cloud - Microsoft Azure DevOps,Other,Azure,Azure DevOps</div><div><div>
Desirable Skills
</div></div></div></div><div><div><div>5 to 10 years</div><div><div>
Years Of Exp
</div></div></div></div><div><div><div>163571</div><div><div>
Job Code</div></div></div></div></div>

Explore 138+ Data platform engineer in Seattle this April. Find roles across top companies and apply now to boost your career.

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