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aiml - sr backend engineer, data and ml innovation Jobs in Seattle

aiml - sr machine learning engineer, data and ml innovation Jobs in Seattle

aws data engineer

civil engineer – data centers & industrial facilities Jobs in Seattle

data engineer ii , na stores expansion Jobs in Seattle

data engineer ii , na stores expansion

data engineer ii na stores expansion

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
The North American Stores Expansion Team is seeking an experienced and motivated Data Engineer to work on driving strategic projects across multiple geographies. We collaborate with Retail, SCOT (Supply Chain Optimization Technologies), AIT (Amazon Inbound Transportation), Vendor Negotiations, and Canada Product teams to develop scalable analytics applications, AI/ML products, and research models that optimize operations and enable business expansion. The environment is fast-paced with constant new challenges to solve. 
 
The ideal candidate will have good leadership skills, proven ability to develop, enhance, automate, and manage analytics models and data pipelines. The candidate will have strong data mining and modeling skills and will be comfortable facilitating idea creation and working from concept through to execution. This role will also build tools and support structures needed to analyze data and dive deep to determine root causes of systems errors. The candidate will also have the opportunity to present findings to cross functional team partners to drive improvements. The ideal candidate will have a proven ability to work with Applied Scientists, Data Scientists, Software Development Engineers, Product Managers and Business Partners to solve challenging analytical problems. The candidate must be comfortable using intellect, curiosity and technical ability to develop innovative solutions to business problems. The position requires ability to learn different aspects of the business and understand how to apply advanced analytics to solve high impact problems. 
 
A qualified candidate must have demonstrated ability to manage medium and large scale automation and modeling projects, identify requirements and build methodology and tools that are mathematically grounded but also explainable operationally, apply technical skills allowing the models to adapt to changing attributes. Strong written and verbal communication skills are a must as this role will be in frequent contact with leadership. The person in this role will be expected to provide clear and concise explanation to results and approaches as well as provide opinion and guidance on problem solving. 
 
Key job responsibilities 
Design, develop and maintain scalable data models, ETL/ELT processes, and ML pipelines using AWS services (S3, Redshift, Glue, Athena, Lake Formation) 
 
Analyze business data to optimize key processes in Retail and Supply Chain domains 
 
Collaborate with cross-functional teams (Scientists, Engineers, Program Managers) to deliver data solutions and implement predictive models 
 
Implement and maintain CI/CD pipelines while ensuring data governance, security, and compliance standards 
 
Monitor, optimize, and enhance data infrastructure to support analytics and machine learning 
 
Stay current with emerging technologies and mentor junior engineers in data engineering and MLOps best practices<h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>Experience with data modeling, warehousing and building ETL pipelines</li><li>3+ years of data engineering experience</li><li>Bachelor's degree</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions</li><li>Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)</li><li>Usage of generative AI tools to enhance workflow efficiency, with a willingness to learn effective prompting and evaluation practices.</li><li>Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences.</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, WA, Seattle - 132,100.00 - 178,800.00 USD annually</div>

Data Engineer II , NA Stores Expansion

Amazon

<div>
 
 Description
 
 
 
 Are you looking for a role that allows you to shape the future of how sellers sell their products globally with Amazon? Do you like working in a start-up like environment with the opportunity to have a significant impact from day 1? Do you have an insatiable curiosity about why Amazon global stores operate as they do and how Amazon could optimize its global selling business? If so, then keep reading as this could be the role for you.
 
 
 Over 2MM active sellers in 22 countries (and growing) list their products for sale on the Amazon stores. Sellers are a critical part of Amazon&rsquo;s ecosystem to deliver on our vision of offering the earth&rsquo;s largest selection and lowest prices.
 
 
 
 About
 
 
 
 As a Business Analyst on Listing Analytics team, you will be responsible for bringing data to the table, specifically seller anecdotes and business metrics. The ideal candidate thrives in working in large and complex data warehouse environments, has excellent verbal and written communication skills, is motivated by developing innovative and simplified solutions to solve complex analytical problems and is passionate about working with large data sets and bringing data together to answer business questions and drive change. These analyses and solutions will be fundamental to finding opportunities and creating new programs aimed at further growing on Amazon stores. In this role you will:
 
 
 <ul>
 <li>
 Engage with leadership and diversified customer groups to understand the needs and recommend business intelligence solutions.
 </li>
 <li>
 Partner with engineering teams to define the data elements and data structures that the team should leverage to develop critical seller experience metrics.
 </li>
 <li>
 Design, implement, and support platforms that provide business teams ad-hoc access to large datasets for self service deep dives (eg: data visualization tools for non-tech business users)
 </li>
 <li>
 Interface with business customers, gather requirements and deliver complete reporting solutions.
 </li>
 <li>
 Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.
 </li>
 <li>
 Participate in strategic &amp; tactical planning discussions
 </li>
 <li>
 Standardize data and report consumption across all customer groups.
 </li>
 <li>
 Make recommendations for new metrics, techniques, and strategies to improve the operational and quality metrics.
 </li>
 <li>
 Be connected and influential within the Amazon analytics community. Work with business intelligence engineer, data engineering, software development teams to enable the appropriate capture and storage of key data points.
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 3+ years of tax, finance or a related analytical field experience
 </li>
 <li>
 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience
 </li>
 <li>
 3+ years of business or financial analysis experience
 </li>
 <li>
 Bachelor's degree or equivalent
 </li>
 <li>
 Experience defining requirements and using data and metrics to draw business insights
 </li>
 <li>
 Experience with Excel
 </li>
 <li>
 Experience with SQL
 </li>
 <li>
 Experience making business recommendations and influencing stakeholders
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Master's degree in business or analytical discipline
 </li>
 <li>
 Experience with data visualization using Tableau, Quicksight, or similar tools
 </li>
 <li>
 Experience in data mining (SQL, ETL, data warehouse, etc.) and using databases in a business environment with large-scale, complex datasets
 </li>
 <li>
 Demonstrated experience leveraging generative AI tools to enhance workflow efficiency and productivity, with the ability to craft effective prompts and critically evaluate AI-generated outputs in a professional setting
 </li>
 <li>
 Experience identifying opportunities to integrate AI solutions into products and services to drive business value
 
 
 </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 - 82,700.00 - 130,100.00 USD annually
 
 
 
 
 Company
 
 - Amazon.com Services LLC
 
 
 Job ID: A3188383
</div>

Business Analyst, Listings

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 looking for a Software Data Engineer to join our team and contribute to building modern data platform capabilities. In this role, you will work on systems that enable data engineers across Apple to build applications efficiently while maintaining high standards of data quality, reliability, and operational excellence. You will have the opportunity to work with cutting-edge data technologies and grow your expertise in AI-enhanced engineering practices. 
 
Description 
 
As a Software Data Engineer on the APX Bedrock team, you will be a hands-on contributor building and enhancing the platform services that power data engineering at Apple. You will work closely with senior engineers and architects to deliver reliable, scalable solutions that have a tangible impact on data teams across the organization. 
 
<ul><li>Design, develop, and maintain Java-based backend services and APIs that support core platform capabilities including metadata collection, dataset lifecycle management, and orchestration</li></ul> 
<ul><li>Build and optimize data processing pipelines using distributed computing frameworks</li></ul> 
<ul><li>Design and implement data models that accurately represent complex domain concepts and support efficient querying and storage patterns</li></ul> 
<ul><li>Implement systems for monitoring dataset health, tracking completeness, and enforcing quality standards</li></ul> 
<ul><li>Write clean, well-tested, production-quality code in Java as the primary language, with Scala, Go, or Python as complementary skills</li></ul> 
<ul><li>Own database design decisions including schema design, indexing strategies, and query optimization for both relational and non-relational data stores</li></ul> 
<ul><li>Participate in operational responsibilities including on-call rotations, incident response, and system health monitoring</li></ul> 
<ul><li>Collaborate with peer teams across the platform organization to integrate and deliver cohesive capabilities</li></ul> 
<ul><li>Leverage AI-powered development tools to accelerate development and improve code quality</li></ul> 
<ul><li>Engage with internal users to understand their needs and translate feedback into platform improvements</li></ul> 

Preferred Qualifications 
 
Experience with non-relational or NoSQL databases and understanding of when to apply different data storage paradigms 
 
Proficiency in Scala, Go, or Python as complementary programming languages 
 
Familiarity with container orchestration tools such as Kubernetes 
 
Exposure to AI-powered development tools and practices (e.g., Claude Code, Copilot) 
 
Experience with data quality monitoring, metadata management, or dataset lifecycle tracking 
 
Understanding of streaming data architectures and real-time processing patterns 
 
Experience with event-driven architectures and distributed messaging systems 
 
Strong communication skills and comfort collaborating across teams 
 
Curiosity and eagerness to learn new technologies and take on increasing responsibility 
 
Minimum Qualifications 
 
Bachelor's Degree in Computer Science, Engineering, or equivalent related experience 
 
3+ years of hands-on experience building data applications, backend services, or platform services 
 
Strong, production-level programming experience in Java, including building and maintaining RESTful or RPC-based services 
 
Solid experience with relational databases including schema design, data modeling, and query optimization using SQL 
 
Experience with distributed data technologies such as Apache Spark or Apache Flink, Hadoop, HDFS, Kafka 
 
Familiarity with workflow orchestration concepts and tools such as Apache Airflow 
 
Demonstrated ability to build, test, and operationally maintain reliable software systems in production environments 
 
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>

Software Data Engineer

Brex

<div><div>Why join us

Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex's AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.

Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We're committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.</div>
Sales at Brex 
The Sales team is the driving factor behind revenue for Brex and every member of our team directly affects our bottom line. We focus on generating new opportunities, acquiring new customers, and building even stronger relationships with our current customers. Our winning culture recognizes big team wins and celebrates individual accomplishments. We ensure that top performers are recognized and have built a competitive environment to motivate and unify the team.

What you'll do

As a Mid-Market Client Sales Executive II, you will play an essential role in driving revenue growth by engaging existing Brex customers and cultivating new business opportunities. In this role, you will combine your sales and relationship building skills with a strategic mindset to identify opportunities and execute strategies that recapture and increase card spend. You will have the opportunity to collaborate with cross-functional teams and learn from experienced professionals across various domains to broaden your skill set and knowledge base.

Where You'll Work

This role will be based in our Seattle office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities
<ul>
<li>Spearhead initiatives to propel net-new revenue growth by strategically increasing spending levels on the Brex Card among our current client base</li>
<li>Proactively identify and cultivate expansion opportunities through targeted outreach efforts</li>
<li>Champion the cross-selling of our cutting-edge Spend Management software, encompassing Expense Management, Billpay, and Travel solutions, to diversify and enhance our clients financial operations</li>
<li>Engage with CFOs and finance leaders regularly, serving as a trusted advisor to provide expert consultation on optimizing financial operations through the seamless integration of our innovative solutions</li>
<li>Formulate and execute strategic plans geared towards enhancing the overall client experience, encompassing improvements in product features and implementation processes</li>
</ul>
Requirements
<ul>
<li>3+ years of hands-on experience in Sales roles within B2B SaaS OR Payments companies</li>
<li>2+ years of closing experience, preferably in a net-new logo acquisition environment</li>
<li>1+ years of outbound prospecting experience</li>
<li>Strong communication and negotiation skills</li>
<li>Data-driven mindset and the ability to analyze customer behavior</li>
<li>Goal-oriented and self-motivated with a proven track record of meeting and exceeding targets</li>
<li>Ability to work in fast-paced, high-velocity environments</li>
<li>Coachability with an interest in growing your career in sales</li>
</ul>
Bonus points
<ul>
<li>Familiarity with financial products, credit cards, and business finance</li>
<li>Familiarity with credit card management, encompassing a deep understanding of limits, rewards, and underwriting</li>
<li>Familiarity with software solutions, especially in areas such as Expense Management, Travel, and Billpay</li>
<li>Previous experience in implementing successful upselling and cross-selling strategies</li>
<li>Keen awareness of the competitive landscape, industry trends, and market dynamics</li>
<li>A background in handling renewals, ensuring customer retention, and minimizing churn</li>
<li>Familiarity with sales tools such as Gong, Salesforce, Outreach, etc.</li>
<li>Series 7 license</li>
</ul>
The expected OTE range for this role is $132,888 - $166,110. The starting wage will depend on a number of factors including the candidate's location, skills, experience, market demands, and internal pay parity. The OTE figure listed here includes base salary and commissions, which may or may not be earned depending on performance. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.<div>
Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored.</div></div>

Mid-Market Client Sales Executive

<div><div>Why join us

Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex's AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.

Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We're committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.</div>
Sales at Brex

The Sales team is the driving factor behind revenue for Brex and every member of our team directly affects our bottom line. We focus on generating new opportunities, acquiring new customers, and building even stronger relationships with our current customers. Our winning culture recognizes big team wins and celebrates individual accomplishments. We ensure that top performers are recognized and have built a competitive environment to motivate and unify the team.

What you'll do

As a Mid-Market Customer Success Manager II, you will own a book of business comprised of our growing customer base, working day to day with Finance teams from CFOs to Accounting Managers to ensure they unlock the full value of Brex's solutions. You will develop a deep proficiency in all aspects of Brex products and work cross-functionally with internal teams, including Implementation, Solutions, and Product. You'll create and execute account strategies for customers' business goals by leveraging product usage insights, stakeholder engagement, and cross-functional collaboration to drive product adoption, minimize churn, and grow account value.

Where you'll work

This role will be based in our Seattle office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of two coordinated days in the office per week, Wednesday and Thursday. Starting February 2, 2026, we will require three days per week in office - Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities
<ul>
<li>Develop a deep expertise in Brex products to actively show customers how to become &quot;power users&quot; of the platform.</li>
<li>Proactively manage an assigned book of accounts to drive customer adoption, value realization, and account growth.</li>
<li>Act as a trusted advisor to finance stakeholders by providing guidance on best practices across spend management, credit policy, reconciliation workflows, and financial reporting automation.</li>
<li>Build multi-threaded relationships across functional areas (Finance, Procurement, AP, IT, and Security) to increase platform stickiness and customer engagement.</li>
<li>Lead business reviews and financial health checks that drive executive alignment and showcase ROI.</li>
<li>Proactively identify and mitigate churn risks through data analysis, usage insights, and issue resolution.</li>
<li>Partner cross-functionally with Sales, Product, Credit, Risk, and Operations teams to deliver a seamless customer experience and advocate for product improvements.</li>
<li>Consistently meet or exceed quarterly key performance metrics, including customer engagement and GMV targets.</li>
</ul>
Requirements
<ul>
<li>4+ years of experience in customer-facing roles managing a book of business, owning account health, executive relationships, and expansion strategy at a high-growth start-up.</li>
<li>Deep fluency in the language of modern finance, demonstrated through hands-on experience with the ecosystem of financial technology - including ERPs, spend management platforms, or AP automation tools. Backgrounds in corporate accounting or financial systems are a significant asset.</li>
<li>Experience and comfort with interacting with a high volume of customers at different stages of the customer lifecycle</li>
<li>You are passionate about working with customers to ensure they achieve their goals</li>
<li>Strong business acumen with a finance-first mindset and comfortable speaking the language of CFOs, Controllers, and FP&amp;A teams.</li>
<li>Ability to synthesize product usage data and identify key insights and trends</li>
<li>Demonstrated success in cross-functional collaboration and influencing internal roadmaps based on customer needs.</li>
<li>Bachelor's degree required; finance, business, or related fields preferred.</li>
</ul>
Bonus Points
<ul>
<li>You think in systems, not silos, and understand the bigger picture of customer value.</li>
<li>You are energized by developing relationships across a wide range of levels and roles</li>
</ul>
Compensation
<div>
<div>The expected OTE range for this role is $132,888 to $166,110. The starting wage will depend on a number of factors including the candidate's location, skills, experience, market demands, and internal pay parity. The OTE figure listed here includes base salary and commissions, which may or may not be earned depending on performance. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Brex LLC is a wholly owned subsidiary of Capital One, N.A.
</div>
</div><div>Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored.</div></div>

Mid-Market Customer Success Manager

BCforward

<div>
 
 
 BCForward is currently seeking a highly motivated AWS Data Engineer for an On-site opportunity in Seattle, WA
 
 
 
 
 
 
 
 Role: AWS Data Engineer
 
 
 
 
 Duration: 6+ months
 
 
 
 
 Locations: Seattle, WA
 
 
 
 
 
 
 
 Anticipated Start Date:
 
 04/13/2026
 
 
 
 Job Type:
 
 Contract &ndash; Onsite
 
 
 
 
 
 We are looking for an AWS Data Engineer with strong experience in building and managing data solutions on AWS.
 
 
 
 
 
 
 Key Skills:
 
 AWS (EC2, S3, RDS, VPC), Python, Redshift (Must Have), AWS Glue, Athena, Lambda
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Build and maintain data pipelines and AWS infrastructure
 </li>
 <li>
 Work with Redshift for data warehousing and querying
 </li>
 <li>
 Use Glue, Athena, and Lambda for data processing and automation
 </li>
 <li>
 Support cloud deployments, monitoring, and troubleshooting
 </li>
 <li>
 Ensure security and compliance standards are followed
 </li>
 <li>
 Assist in migrating data and applications to AWS
 </li>
 </ul>
 
 
 
 
 
 Benefits:
 
 
 
 BCforward offers all eligible employees a comprehensive benefits package, including, but not limited to, major medical, HSA, dental, vision, employer-provided group life, voluntary life insurance, short-term disability, long-term disability, and 401k.
 
 
 
 
 
 
 About BCforward:
 
 
 
 Founded in 1998 on the idea that industry leaders needed a professional service and workforce management expert to
 
 
 fuel the development and execution of core business and technology strategies, BCforward is a Black-owned firm providing
 
 
 unique solutions supporting value capture and digital product delivery needs for organizations around the world.
 
 
 Headquartered in Indianapolis, IN, with an Offshore Development Center in Hyderabad, India, BCforward&rsquo;s 6,000
 
 
 Consultants support more than 225 clients globally.
 
 
 BCforward champions the power of human potential to help companies transform, accelerate, and scale. Guided by our
 
 
 With core values of People-Centric, Optimism, Excellence, Diversity, and Accountability, our professionals have helped our clients
 
 
 achieve their strategic goals for more than 25 years. Our strong culture and clear values have enabled BCforward to
 
 
 become a market leader and best in class place to work.
 
 
 BCforward is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against based on disability.
 
 
 To learn more about how BCforward collects and uses personal information as part of the recruiting process, view our Privacy Notice and CCPA Addendum. As part of the recruitment process, we may ask for you to disclose and provide us with various categories of personal information, including identifiers, professional information, commercial information, education information, and other related information. BCforward will only use this information to complete the recruitment process.
 
 
 This posting is not an offer of employment. All applicants applying for positions in the United States must be legally authorized to work in the United States. The submission of intentionally false or fraudulent information in response to this posting may render the applicant ineligible for the position. Any subsequent offer of employment will be considered employment at-will, regardless of the anticipated assignment duration.
 
</div>

AWS Data Engineer

Salesforce

<div>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
Software Engineering
Job Details
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&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.
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.
Lead Data Engineer
Office hybrid in Seattle or Chicago
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. 
<h2 class="jobSectionHeader"> 
What You&rsquo;ll Do
</h2><ul><li><h3 class="jobSectionHeader">Architect Multi-Stage Medallion Pipelines: 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.
</h3></li><li><h3 class="jobSectionHeader">Lead Semantic Layer Strategy: Own the development and governance of the Semantic Layer , defining standardized metrics and dimensions to ensure consistent interpretation of KPIs across all downstream business intelligence and reporting platforms.
</h3></li><li><h3 class="jobSectionHeader">Advanced Dimensional Modeling: 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.
</h3></li><li><h3 class="jobSectionHeader">Engineering Identity &amp; Entity Resolution: 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.
</h3></li><li><h3 class="jobSectionHeader">Infrastructure for Causal &amp; Attribution Modeling: 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.
</h3></li><li><h3 class="jobSectionHeader">Data Contracts &amp; Quality Governance: 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.
</h3></li><li><h3 class="jobSectionHeader">Operational Excellence &amp; CI/CD: 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.
</h3></li><li><h3 class="jobSectionHeader">Cross-Functional System Design: 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. 
 
</h3></li></ul>Qualifications:
<ul><li>8+ years of experience as a Data Engineer or in a similar role.
</li><li>A related technical degree required.
</li><li>Proficiency in data engineering tools and languages, such as Python, SQL, and Spark.
</li><li>Strong understanding of database concepts, data modeling, and ETL processes with tools like Airflow, dbt, Informatica, etc.
</li><li>Experience with cloud-based data solutions (e.g., AWS, Azure, Google Cloud).
</li><li>Familiarity with data warehousing, SQL, NoSQL databases, and data integration techniques.
</li><li>Experience with the Salesforce Ecosystem, specifically Data Cloud.
</li><li>Problem-solving skills to troubleshoot and resolve data-related issues.
</li><li>Excellent communication skills and ability to collaborate in a cross-functional environment.
</li></ul>Unleash Your Potential
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 be your best , and our AI agents accelerate your impact so you can do your best . 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.
Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .
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.
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&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.
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.
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>

Lead Data Engineer

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