data analytics engineer - apple services engineering

aws data engineer

data analytics engineer - apple services engineering Jobs in Seattle

data engineer

data engineer - seattle, wa Jobs in Seattle

data engineer - seattle, wa

data engineer analytics

senior data engineer

Metropolis

<div><h3 class="jobSectionHeader"><b>Who we are</b></h3>
<p>
The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy &mdash; a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it.</p>
<h3 class="jobSectionHeader"><b>
Who you are</b></h3>
<p>
As a Senior Data Engineer at Metropolis, you will play a key role in shaping data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond.</p>
<h3 class="jobSectionHeader"><b>
What you'll do</b></h3>
<ul><li>Collaborate with cross-functional teams to develop end-to-end data pipelines and foundational data sets</li>
<li>Design and own data architecture for large-scale projects while managing operational trade-offs</li>
<li>Build and optimize sophisticated data pipelines, models, and visualizations across multiple domains</li>
<li>Define and manage Service Level Agreements (SLAs) for all owned data sets</li>
<li>Implement data security models, ensure privacy compliance, and evolve data governance processes</li>
<li>Solve complex integration challenges using optimal ETL/ELT patterns for structured and unstructured data</li>
<li>Maintain production processes by optimizing complex code using advanced algorithmic concepts</li>
<li>Streamline data artifact development by optimizing pipelines, dashboards, and frameworks</li>
<li>Mentor team members through actionable feedback to foster collective skill growth</li>
<li>Maintain flexibility with availability during evening hours</li>
</ul><h3 class="jobSectionHeader"><b>What we're looking for</b></h3>
<ul><li>Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field</li>
<li>master's degree is preferred</li>
<li>5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud</li>
<li>5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems</li>
<li>Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt</li>
<li>Hands-on experience with RDBMS such as MySQL, MS SQL Server (optional), and Postgres</li>
<li>Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines</li>
<li>Ability to deliver high standards of code quality, system reliability, and performance</li>
<li>Deep understanding of the modern IaC ecosystem to drive automated infrastructure deployments</li>
<li>Experience with cloud computing services, preferably AWS, including hands-on experience with services like Glue, Airflow (MWAA), DMS, EKS, and SNS</li>
</ul><h3 class="jobSectionHeader"><b>While not required, these are a plus:</b></h3>
<ul><li>Experience with Spark and PySpark</li>
<li>Master's degree in Computer Science, Computer Engineering, or a relevant technical field</li>
</ul>
<p></p><p><i>When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $160,000.00 USD to $220,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. </i><i>#LI-CM1 #LI-Onsite</i></p><div><p><i>
Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting.</i></p>
<p><i>
As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records.</i></p>
<p><i>
Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.</i></p></div></div>

Senior Data Engineer

Apple

<p>As a Data Engineer on the Capacity Engineering team, you will help design, build, and operate the data foundation that drives capacity, cost, and power-related decisions across Apple&rsquo;s infrastructure footprint.<br>
<br>
In this role, you will:<br>
<br>
Architect, implement, and maintain large-scale batch and streaming pipelines that ingest, process, and model infrastructure telemetry, cost, metering, utilization, forecasting, and power metrics from multiple clouds and bare metal environments.<br>
<br>
Design and evolve robust data models (with a strong focus on dimensional modeling) and storage patterns that support analytics, internal billing, and efficiency use-cases.<br>
<br>
Treat data as a product: define quality checks, SLAs, and observability to ensure data is accurate, timely, and trusted by stakeholders across Apple.<br>
<br>
Integrate and enrich raw signals with metadata and attribution to power use cases such as internal billing/showback, usage understanding, efficiency and optimization, clawbacks, planning, and procurement.<br>
<br>
Collaborate closely with data scientists, software engineers, platform teams, finance partners, program managers, and leadership to translate requirements into scalable, reliable data solutions and services.<br>
<br>
Implement standard methodologies for data governance, lineage, metadata management, and security, in alignment with Apple&rsquo;s standards for data protection and privacy.<br>
<br>
Build end-to-end data solutions that include logging, anomaly detection, data validation, cleaning, and transformation, with strong emphasis on monitoring, debuggability, and continuous improvement.<br>
<br>
Contribute to the evolution of our data and platform stack, including tooling, frameworks, and standards for development, testing, deployment, and operations (CI/CD, infrastructure as code, etc.).<br>
<br>
<b>Description</b><br>
<br>
Apple&rsquo;s Capacity data engineering team, within the Apple Services Engineering organization, is building the centralized data backbone that powers how Apple understands, plans, and optimizes its cloud and data center infrastructure.<br>
<br>
We engineer a unified, trusted data lake that consolidates cost, metering, utilization, forecasting, and power metrics produced by Apple platforms and systems (including bare metal) across both third-party and Apple internal clouds. Enriched with metadata and attribution, this becomes the single source of truth for internal billing, understanding usage and utilization, clawbacks, planning, procurement, and efficiency initiatives.<br>
<br>
We collaborate with platform engineering, finance, capacity engineering, and leadership teams to build large-scale data pipelines, enable descriptive and predictive analytics, and power dashboards and products that support critical business decisions. This is your opportunity to help design and operate highly visible, global-scale systems processing petabytes of data and supporting hundreds of users across Apple.<br>
<br>
Come join us to help deliver the next generation of infrastructure insights at Apple.<br>
<br>
<b>Preferred Qualifications</b><br>
<br>
Advanced degree in a related field a plus.<br>
<br>
Experience with data visualization / BI tools, such as Superset or Tableau (other tools like QuickSight, QlikView, Cognos, or Business Objects are a plus)<br>
<br>
Experience with containerization and orchestration, such as Docker and Kubernetes/EKS is a plus<br>
<br>
Understanding of authentication and authorization (AuthN/AuthZ) patterns<br>
<br>
Knowledge of data governance principles, data security best practices, and data privacy regulations<br>
<br>
<b>Minimum Qualifications</b><br>
<br>
Bachelors degree or equivalent experience in Computer Science, Information systems, Software Engineering, Data Science or related field.<br>
<br>
5+ years of experience in data engineering (or equivalent practical experience), including:<br>
<br>
Building and maintaining large-scale ETL/ELT data pipelines<br>
<br>
Distributed computing (e.g., Spark / PySpark) for data processing and automation<br>
<br>
Query performance optimization and tuning at scale<br>
<br>
Hands-on experience with:<br>
<br>
Apache Spark and Airflow (or similar workflow/orchestration tools) for efficient large-scale data pipelines<br>
<br>
Data modeling, especially dimensional modeling, and designing schemas optimized for analytics and reporting<br>
<br>
Big data platforms and/or data lake architectures<br>
<br>
Experience with CI/CD tooling such as Jenkins (or similar tools)<br>
<br>
Experience with cloud technologies, AWS/GCP (e.g., S3, EMR, Lambda, Glue, RDS/Redshift, Big-query, Kinesis or similar services)<br>
<br>
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 .<br>
<br>
<b>Pay &amp; Benefits</b><br>
<br>
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.<br>
<br>
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.<br>
<br>
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</p>

<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.<br>
<br>
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.<br>
<br>
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.<br>
<br>
<b>Description</b><br>
<br>
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.<br>
<br>
<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><br>
<ul><li>Architect and build high-performance Java-based backend services and APIs that form the backbone of the data engineering platform</li></ul><br>
<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><br>
<ul><li>Design and operate scalable data processing pipelines using Apache Spark, Apache Flink, and modern orchestration frameworks</li></ul><br>
<ul><li>Proactively identify architectural gaps and drive initiatives that improve platform scalability, reliability, and developer experience</li></ul><br>
<ul><li>Define engineering standards and patterns adopted across the broader team and organization</li></ul><br>
<ul><li>Evaluate emerging technologies and contribute to strategic decisions that shape the platform roadmap</li></ul><br>
<ul><li>Mentor engineers across experience levels and drive a culture of technical excellence</li></ul><br>
<ul><li>Leverage AI-powered development tools and help define how AI-augmented workflows are adopted and scaled within the team</li></ul><br>
<b>
Preferred Qualifications</b><br>
<br>
<ul><li>Experience with non-relational or NoSQL databases and strong intuition for applying the right data storage paradigms</li></ul><br>
<ul><li>Proficiency in Scala, Go, or Python as complementary programming languages</li></ul><br>
<ul><li>Deep experience with container orchestration tools such as Kubernetes and cloud-native infrastructure patterns</li></ul><br>
Hands-on experience with AI-powered development tools (e.g., Claude Code, Copilot) and building AI-augmented engineering workflows<br>
<br>
Experience architecting data quality monitoring, metadata management, or dataset lifecycle management systems at scale<br>
<br>
Strong background in streaming, real-time data processing, and event-driven architectures<br>
<br>
Track record of mentoring senior engineers and driving technical excellence across teams<br>
<br>
Strong communication skills with the ability to present complex technical strategies to senior leadership<br>
<br>
<b>Minimum Qualifications</b><br>
<br>
Bachelor's or Master's Degree in Computer Science, Engineering, or equivalent professional experience<br>
<br>
8+ years of software engineering experience with significant focus on data platform or large-scale distributed systems<br>
<br>
Expert-level Java programming with a strong track record of architecting and delivering complex, production-grade backend services<br>
<br>
Deep experience with relational databases including advanced data modeling, schema design, and query optimization at scale<br>
<br>
Expert-level experience with Apache Spark and Apache Flink, and distributed data technologies including Hadoop, HDFS, and Kafka<br>
<br>
Extensive experience designing and operating workflow orchestration systems such as Apache Airflow at enterprise scale<br>
<br>
Proven ability to drive end-to-end technical ownership of complex platform initiatives and influence technical direction beyond immediate team scope<br>
<br>
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 .<br>
<br>
<b>Pay &amp; Benefits</b><br>
<br>
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.<br>
<br>
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.<br>
<br>
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

Salesforce

<div><p><i>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.
</i></p><p></p><p>Job Category
</p>Software Engineering
<p></p><p>Job Details
</p><p></p><p><b>About Salesforce
</b></p><p>Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;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.
</p><p></p><p>Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
</p><p></p><p><b>Lead Data Engineer
</b></p><p><b>Office hybrid in Seattle or Chicago
</b></p><p></p><p>As a Data Engineer at Salesforce within the Data &amp; Analytics organization, you will collaborate with cross-functional teams to create and manage robust data solutions that support our analytics and business intelligence initiatives, building scalable and efficient data pipelines, optimizing data workflows, and ensuring data quality and reliability. The Customer Success Data Platform organization sits at the intersection of Automation, Analytics, and AI, pushing the boundaries of Salesforce technology as Customer 0 and providing trusted data that supports the AI + Human tandem.<br>
</p><p></p><h2 class="jobSectionHeader"><br>
<b>What You&rsquo;ll Do
</b></h2><ul><li><h3 class="jobSectionHeader"><b>Architect Multi-Stage Medallion Pipelines: </b><b>Design and oversee the implementation of a robust Medallion Architecture (Bronze, Silver, and Gold layers), ensuring seamless transitions from raw ingestion to highly refined, business-logic-heavy data assets.
</b></h3></li><li><h3 class="jobSectionHeader"><b>Lead Semantic Layer Strategy: </b><b>Own the development and governance of the </b><b>Semantic Layer </b><b>, defining standardized metrics and dimensions to ensure consistent interpretation of KPIs across all downstream business intelligence and reporting platforms.
</b></h3></li><li><h3 class="jobSectionHeader"><b>Advanced Dimensional Modeling: </b><b>Lead the transition from flat tables to sophisticated Star and Snowflake schemas. Design high-performance data models that support complex relationship mapping, historical versioning (SCD Type 2), and high-concurrency querying.
</b></h3></li><li><h3 class="jobSectionHeader"><b>Engineering Identity &amp; Entity Resolution: </b><b>Build and maintain scalable pipelines for identity resolution, stitching together disparate data points across the Salesforce ecosystem to create unified, governed customer and product graphs.
</b></h3></li><li><h3 class="jobSectionHeader"><b>Infrastructure for Causal &amp; Attribution Modeling: </b><b>Partner with Decision Scientists to engineer the specialized data structures and features required for advanced attribution and causal inference, ensuring these models are backed by high-integrity, production-ready data.
</b></h3></li><li><h3 class="jobSectionHeader"><b>Data Contracts &amp; Quality Governance: </b><b>Establish and enforce strict Data Contracts between upstream producers and downstream consumers. Implement automated validation frameworks to monitor data freshness, schema drift, and semantic accuracy.
</b></h3></li><li><h3 class="jobSectionHeader"><b>Operational Excellence &amp; CI/CD: </b><b>Drive engineering best practices by implementing rigorous CI/CD workflows for data pipelines, emphasizing automated testing, version control for SQL/Python transformations, and proactive performance tuning.
</b></h3></li><li><h3 class="jobSectionHeader"><b>Cross-Functional System Design: </b><b>Collaborate with Product Managers and Engineering leaders to translate complex business requirements into scalable technical architectures, prioritizing data lineage, transparency, and low-latency access to trusted metrics.<br>
</b><br>
</h3></li></ul><p><b>Qualifications:
</b></p><ul><li><p>8+ years of experience as a Data Engineer or in a similar role.
</p></li><li><p>A related technical degree required.
</p></li><li><p>Proficiency in data engineering tools and languages, such as Python, SQL, and Spark.
</p></li><li><p>Strong understanding of database concepts, data modeling, and ETL processes with tools like Airflow, dbt, Informatica, etc.
</p></li><li><p>Experience with cloud-based data solutions (e.g., AWS, Azure, Google Cloud).
</p></li><li><p>Familiarity with data warehousing, SQL, NoSQL databases, and data integration techniques.
</p></li><li><p>Experience with the Salesforce Ecosystem, specifically Data Cloud.
</p></li><li><p>Problem-solving skills to troubleshoot and resolve data-related issues.
</p></li><li><p>Excellent communication skills and ability to collaborate in a cross-functional environment.
</p></li></ul><p></p><p>Unleash Your Potential
</p><p>When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and <i>be your best </i>, and our AI agents accelerate your impact so you can <i>do your best </i>. Together, we&rsquo;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 &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
</p><p></p><p>Accommodations
</p><p>If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .
</p><p></p><p>Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates&rsquo; resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
</p><p></p><p>Posting Statement
</p><p>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&rsquo;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 &ndash; 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.
</p><p></p>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: https://www.salesforcebenefits.com.
<p></p>At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.&amp;#xa;&amp;#xa;The typical base salary range for this position is $172,500 - $260,100 annually. &amp;#xa;&amp;#xa;The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.</div><p></p>

Lead Data Engineer

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div><ul><li>6+ years of data engineering experience</li>
<li>3+ year of experience working in a data engineering, data science, or software engineering capacity</li>
<li>Expertise in writing and maintaining robust data pipelines in SQL and Python</li>
<li>A track record of turning data requirements from stakeholders into actionable plans</li>
<li>Experience with cloud-native solutions</li>
<li>A history of implementing and upholding best practices in data pipelines, ensuring accuracy, consistency, and reliability</li>
</ul></div><div><b>Preferred qualifications:</b>
</div><div><div><ul><li>5+ years of experience in data warehousing, data modelling, and building/maintaining ETL/ELT pipelines at scale.</li>
<li>Extensive experience with AWS, Google Cloud Platform (GCP), or Azure.</li>
<li>Proficiency in Apache Spark, Kafka, NoSQL databases, and orchestration tools like Apache Airflow.</li>
<li>Strong skills in Python, Java, or Scala.</li>
<li>Deep knowledge of SQL and, specifically, experience with Snowflake, Data bricks, or Redshift.</li>
</ul></div><div><div><b>TCS Employee Benefits Summary:</b>
</div><div><ul><li>Discretionary Annual Incentive.</li>
<li>Comprehensive Medical Coverage: Medical &amp; Health, Dental &amp; Vision, Disability Planning &amp; Insurance, Pet Insurance Plans.</li>
<li>Family Support: Maternal &amp; Parental Leaves.</li>
<li>Insurance Options: Auto &amp; Home Insurance, Identity Theft Protection.</li>
<li>Convenience &amp; Professional Growth: Commuter Benefits &amp; Certification &amp; Training Reimbursement.</li>
<li>Time Off: Vacation, Time Off, Sick Leave &amp; Holidays.</li>
<li>Legal &amp; Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.</li>
</ul></div><div>#LI-RJ2
</div><div>Salary Range-$150,000-$180,000 a year
</div></div></div></div></div></div><div><div><div><b>Location</b></div>
<div>Seattle, WA</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Senior Engineer</div>
</div><div><div><b>Job Id</b></div>
<div>406674</div>
</div><div><div><b>Desired Skills</b></div>
<div>Big Data</div>
</div><div><div><b>Salary Range</b></div>
<div>$150,000-$180,000 a year</div></div></div></div><div></div>

Data Engineer Analytics

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we&rsquo;re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain &mdash; and we&rsquo;re looking for talented people who want to help. You&rsquo;ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You&rsquo;ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you&rsquo;ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
<br>
<br>
Amazon Web Services is seeking Senior Plumbing/Fire Protection Engineers to become part of a global engineering team, responsible for the implementation and technical evaluation of our designs and the continuous innovation of our rapidly expanding data center footprint. Engineers at Amazon: Work to design resilient, cost effective systems. Are responsible for achieving a world-class uptime for our customers. They justify and communicate the technical decisions we make to Senior Management and work hard to drive continuous advancements and improvements with our designs. They drive change and define/design the systems our customers rely on. They have hands on design and field experience and have an understanding of the critical plumbing and fire-protection needs for a data center. As we grow, we are structuring our team to own more of our engineering in house.
<br>
<br>
At Amazon, teamwork is absolutely necessary for us to accomplish our goals. You must be able to work within a team and depend on others to accomplish the required work. As a Fire Protection engineer at Amazon, you will be working with other internal groups as well as external groups including utilities, manufacturers, vendors, and contractors. As an Engineer in this role, you will work with the Principals and Senior Mechanical, Plumbing, and Fire Engineers to drive the standardization of designs across the global region in production data centers and resolve open technical issues in the plumbing and fire spaces. You will participate in the research and development of new technologies and designs applicable to our products or services. Relied on as a subject matter expert in the plumbing and fire engineering fields, you write technical documentation for such projects.
<br>
<br>
Your tasks include conceiving, initiating and leading projects with widespread impact on infrastructure design, innovation and implementation. You will achieve this by breaking down complex problems into straightforward and actionable solutions. This will be achieved by working with internal teams to understand user requirements and challenges as well as collaborating with teams or individuals from other disciplines, cultures and countries. You will escalate issues as required and communicate clearly and effectively at the appropriate level of detail with people from a wide range of technical abilities and backgrounds. Part of the role will also include the review and approval of critical equipment submittals including vendor Witness Tests, provide technical support on global Large Scale Events (LSE&rsquo;s), including participation on deep dives, investigations and recommendations on mitigation plans. You will also be expected to maintain and host technical fire protection forums to provide a collaborative environment for development of data center systems. As well as provide support and mentorship for the whole of the DCC engineering community, all while having fun and offering creative, out of the box solutions.<br>
<br>
Key job responsibilities<br>
Under the direction of an engineering manager, the Senior Plumbing/Fire Engineer will be responsible for the following:
<br>
<ul><li>Design and implement energy-efficient plumbing and fire protection systems for data centers
</li><li>Create comprehensive documentation for designs and operational procedures
</li><li>BIM/Revit experience
</li><li>Support continuous improvement through data analysis and system optimization
</li><li>Guide project teams through planning, execution, and commissioning phases
</li><li>Conceives, initiates, and leads projects with widespread impact on infrastructure design, innovation, and implementation.
</li><li>Decompose complex problems into straightforward and actionable solutions.
</li><li>Work with internal teams to understand user requirements and challenges.
</li><li>Collaborate with teams or individuals from other disciplines, cultures, and countries.
</li><li>Escalate issues as required and communicate clearly and effectively at the appropriate level of detail with people from a wide range of technical abilities and backgrounds.
</li><li>Produce clear and concise documentation such as detailed design specifications, white papers, wiring schematics and diagrams, and reports.
</li><li>Understand and safeguard implementation of the Global Plumbing and Fire Basis of Design (BoD) with constant auditing.
</li><li>Drive standardization in the data center plumbing and fire-protection spaces.
</li><li>Development of strategic solutions, which meet or exceed our quality requirements and fall within our budgetary requirements.
</li><li>Capture requirements and turn aspirational company or customer goals into well-defined, achievable and testable specifications and solutions.
</li><li>Define project scope and provide technical support for information requests prior to, and during innovation and research and development projects.
</li><li>Provide technical support on global Large Scale Events (LSE&rsquo;s), including participation on deep dives, investigations and recommendations on mitigation plans.
</li><li>Ability to work on concurrent projects in multiple geographical regions.
</li><li>Maintain and host technical forums to provide a collaborative environment for development of data center plumbing and fire-protection systems.
</li><li>Provide support and mentorship for the whole of the Data Center Engineering community.
</li><li>Have fun and offer creative out-of-the-box solutions.</li></ul><br>
About the team<br>
<br>
Why AWS<br>
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.<br>
<br>
Diverse Experiences<br>
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.<br>
<br>
Work/Life Balance<br>
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.<br>
<br>
Inclusive Team Culture<br>
Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.<br>
<br>
Mentorship and Career Growth<br>
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>6+ years of data center design, construction, operations, or facility maintenance experience</li><li>4+ years of industrial or commercial engineering in mission critical facilities including but not limited to: data centers, power generation or oil and gas facilities experience</li><li>Bachelor's degree in Engineering or a related field</li><li>Knowledge of critical data center mechanical and electrical equipment</li><li>Experience in data center design, construction, operations, or facility maintenance</li><li>Experience in industrial or commercial engineering in mission critical facilities including but not limited to: data centers, power generation or oil and gas facilities</li><li>Experience researching new designs, technologies, and construction methods of data center equipment and facilities</li><li>Experience with CAD software (AutoCAD, REVIT, BIM 360, etc.)</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Professional Engineering or Architectural License</li><li>Knowledge of building codes and regulations for your region</li><li>Experience carrying design concepts through exploration, development, and into deployment or mass production</li><li>Experience reading, interpreting, and creating construction drawings, specifications, and submittal documents</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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.<p><br>
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.</p><br>
USA, TX, Austin - 136,600.00 - 184,800.00 USD annually<br>
USA, VA, Herndon - 136,600.00 - 184,800.00 USD annually<br>
USA, WA, Seattle - 136,600.00 - 184,800.00 USD annually</div><p></p>

Sr. Plumbing/Fire Protection Engineer, Data Center Engineering

Realign

<div>Seattle, Washington 98039 Posted March 12th, 2026
 <div></div><p>Looking for more job opportunities? Click here!</p></div>
<br><div><p>Job Type: Full Time</p>
<p>Job Category: IT</p>
<p>Job Description</p>
<p></p><p><b>Job Title:</b> PSA Engineer - Network Transmission <b>(Energy Domain)</b><br>
<b>Location &ndash; </b>Seattle, WA / Melbourne, FL<br>
<b>Contract</b></p><div><b>
Job Description</b></div><div><b>
Must Have Technical/Functional Skills</b></div><div>
5+ years of work experience in customizing and delivering Energy Management Systems preferbly e-terrra AEMS - Reliance</div><div>
5 + years of experience with C++, Java or other related language.</div><div>
5+ years of experience with GE&rsquo;s AEMS Reliance source design and development.</div><div>
5+ years of experience with electric utility industry practices.</div><div>
5 years of experience with LINUX and Windows Operating Systems</div><div>
5 years of experience with C, Java &amp; Oracle Database</div><div>
SQL, shell scripting, ability to read and interpret logs &amp; debug files</div><div>
Installation of Operating system patches and other 3rd Party Software such as Oracle, NetApp etc.</div><div>
System configuration and Hands on Experience in GitHub and ClearCase</div><div>
5 years experience on Realtime or Mission Critical Systems</div><div>
Must have experience in picking up and installing fixes on live customer systems</div><div>
Proven track record of problem analysis, identification and resolution</div><div>
Strong troubleshooting &amp; debugging skills</div><div>
Good communication skills (verbal and written)</div><div>
MS office applications (Word, PowerPoint, Excel) and MS Outlook competency</div><div>
Reliance (Formerly known as XA/21) experience</div><div>
Object-Oriented programming techniques, Oracle, and/or system administration, is a plus</div><div></div><div><b><br>
Roles &amp; Responsibilities</b></div><div>
Responsible for advanced Power Systems Application software development and successful delivery of assigned functions to meet corporate project/product commitments. The responsibilities include: working with Electric Utilities or ISOs (Independent System Operators) and Transmission System Operators (TSOs) on functional software specifications, designing, coding, testing, integration, application tuning and delivery</div><div></div><div><b><br>
Generic Managerial Skills</b></div><div>
Ensure customers&rsquo; success by fostering a balanced relationship that benefits both GE and the customer</div><div>
with the goal of producing the highest level of customer support and satisfaction. In this role, you will:</div><div>
Take a leadership role in strategizing with internal staff and customers to solve and prevent re-occurrence of issues.</div><div>
Engage with customers on day to day issues; organize customer calls to facilitate implementation of solutions while adhering to change control, compliance protocols. Ensure solution does solve the customer&rsquo;s issue.</div><div>
Mentors staff in troubleshooting and analysis methods</div><p></p>
<p>Required Skills</p>
<p>CLOUD SECURITY ENGINEER</p> <p>DEVOPS ENGINEER</p> <p>DEVOPS SECURITY ENGINEER</p> <p>SENIOR EMAIL SECURITY ENGINEER</p></div>

PSA Engineer / Network Transmission (Energy Domain)-6

Explore 361+ Senior data engineer in Seattle this April. Find roles across top companies and apply now to boost your career.

361 senior data engineer jobs In Seattle

Senior Data Engineer

Senior Data Engineer

Senior Software Data Engineer

Lead Data Engineer

Data Engineer Analytics

Sr. Plumbing/Fire Protection Engineer, Data Center Engineering

PSA Engineer / Network Transmission (Energy Domain)-6