data solutions engineer

Schneider Electric

<div>
 Our purpose and mission are what guides us and represents our promise to all our stakeholders &ndash;customers, partners, employees, influencers, shareholders, and communities.
 <br/>
 <br/>
 Schneider&rsquo;s purpose is to create Impact by empowering all to make the most of our energy and resources, bridging progress and sustainability for all. At Schneider, we call this Life Is On.
 <br/>
 <br/>
 Our mission is to be the trusted partner in Sustainability and Efficiency.
 <br/>
 <br/>
 Our renewed purpose highlights our commitment to create lasting impact while maintaining ourpromise to make the most of our energy and resources bridging progress and sustainability for all.
 <br/>
 <br/>
 As a Data &amp; Solutions Engineer at Schneider Electric, you will play a key role in transforming raw data into actionable insights that drive strategic and operational decisions across the organization. You will collaborate closely with cross-functional teams to design and deliver innovative digital solutions that optimize business performance.
 <br/>
 <br/>
 In addition to your data analytics responsibilities, you will contribute to application development initiatives, working in a model similar to a software house environment. You will help build, enhance, and maintain internal applications and analytical tools that address complex business challenges. Leveraging your understanding of business processes and technology, you will also support solution architecture activities, ensuring that developed solutions are scalable, user-centric, and aligned with Schneider Electric&rsquo;s digital transformation strategy.
 <br/>
 <br/>
 Your analytical expertise, technical capabilities, and problem-solving mindset will be essential in driving efficiency, automating workflows, and creating impactful solutions that support sustainable and data-driven decision-making.
 <br/>
 <br/>
 Key Responsibilities:
 <br/>
 <br/>
 Transform raw data into structured, analytics-ready datasets using Power Query and other ETL techniques, ensuring accuracy and consistency for downstream analysis.
 <br/>
 <br/>
 Analyze and interpret complex datasets to generate actionable insights that support strategic business decisions and operational improvements.
 <br/>
 <br/>
 Design, develop, and maintain interactive Power BI dashboards and data visualization solutions that clearly communicate trends, KPIs, and performance metrics to stakeholders.
 <br/>
 <br/>
 Develop and enhance internal applications and digital tools using PowerApps, Excel automation, and Power Automate to streamline workflows, automate business processes, and solve operational challenges.
 <br/>
 <br/>
 Collaborate cross-functionally with business, IT, and engineering teams to deliver
 <br/>
 <br/>
 end-to-end data and digital solutions aligned with organizational priorities.
 <br/>
 <br/>
 Act as a technical problem-solver, proposing data-driven optimizations and digital enhancements to improve efficiency, reduce manual effort, and support continuous improvement.
 <br/>
 <br/>
 Design data models, reporting structures, and user-centric dashboards that enable informed, real-time decision-making across the business.
 <br/>
 <br/>
 Contribute to solution architecture activities by assisting in the design of scalable, integrated data and application ecosystems that meet both functional and technical requirements.
 <br/>
 <br/>
 Apply Agile methodologies to manage IT and digital transformation projects, ensuring timely delivery, iterative development, and continuous value generation.Ensure system reliability, data quality, and platform performance across all analytical and application development initiatives.
 <br/>
 <br/>
 Qualifications:
 <br/>
 <br/>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Software Engineering, Computer Science, Business Informatics, Information Systems, or a related field.
  </li>
  <li>
   Strong analytical, critical-thinking, and problem-solving skills, with the ability to understand business needs and propose logical technical solutions.
  </li>
  <li>
   Basic knowledge of Power BI, PowerApps, Excel automation, Power Automate, or similar data/digital tools (academic, internships, or self-learning acceptable).
  </li>
  <li>
   Fundamental understanding of application development concepts, whether through coursework, projects, or personal learning initiatives.
  </li>
  <li>
   Basic awareness of solution architecture principles, such as data modeling, system integration, scalability, and user-centric design.
  </li>
  <li>
   Ability to design charts, dashboards, or simple applications as part of academic or personal projects.
  </li>
  <li>
   Excellent communication, presentation, and teamwork skills, with the ability to collaborate effectively with diverse stakeholders.
  </li>
  <li>
   Fluency in English is required; French language skills are an advantage.
  </li>
  <li>
   Familiarity with Agile methodologies (through university projects, certifications, or online courses) is a plus.
  </li>
  <li>
   Motivated, eager to learn, and capable of adapting quickly in a digital and fast-paced environment.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Let us learn about you! Apply today.
  <br/>
  <br/>
 </strong>
 <strong>
  Looking to make an IMPACT with your career?
  <br/>
  <br/>
 </strong>
 When you are thinking about joining a new team, culture matters. At Schneider Electric, our values and behaviors are the foundation for creating a great culture to support business success. We believe that our IMPACT values &ndash; Inclusion, Mastery, Purpose, Action, Curiosity, Teamwork &ndash; starts with us.
 <br/>
 <br/>
 IMPACT is also your invitation to join Schneider Electric where you can contribute to turning sustainability ambition into actions, no matter what role you play. It is a call to connect your career with the ambition of achieving a more resilient, efficient, and sustainable world.
 <br/>
 <br/>
 We are looking for IMPACT Makers; exceptional people who turn sustainability ambitions into actions at the intersection of automation, electrification, and digitization. We celebrate IMPACT Makers and believe everyone has the potential to be one.
 <br/>
 <br/>
 Become an IMPACT Maker with Schneider Electric &ndash; apply today!
 <br/>
 <br/>
 &euro;36 billion global revenue
 <br/>
 <br/>
 +13% organic growth
 <br/>
 <br/>
 150 000+ employees in 100+ countries
 <br/>
 <br/>
 #1 on the Global 100 World&rsquo;s most sustainable corporations
 <br/>
 <br/>
 You must submit an online application to be considered for any position with us. This position will be posted until filled.
 <br/>
 <br/>
 <em>
  Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best. We mirror the diversity of the communities in which we operate, and &lsquo;inclusion&rsquo; is one of our core values. We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do.
  <br/>
  <br/>
 </em>
 <em>
  At Schneider Electric, we uphold the highest standards of ethics and compliance, and we believe that trust is a foundational value. Our Trust Charter is our Code of Conduct and demonstrates our commitment to ethics, safety, sustainability, quality and cybersecurity, underpinning every aspect of our business and our willingness to behave and respond respectfully and in good faith to all our stakeholders. You can find out more about our Trust Charter here
  <br/>
  <br/>
 </em>
 <em>
  Schneider Electric is an Equal Opportunity Employer. It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status, or any other legally protected characteristic or conduct.
 </em>
</div>


Data Solutions Engineer

Horizon Media, Inc.

<div><div>Job Description</div><div><div><div>
About Horizon Commerce</div><div><div>
Horizon Commerce helps brands navigate and succeed in an increasingly complex retail media and ecommerce ecosystem. We combine advanced analytics, retail media intelligence, and proprietary technology to help clients measure incrementality, optimize investment decisions, and drive sustainable growth across major retail platforms. We value collaboration, ownership, and practical problem solving in a fast-paced, evolving environment.</div></div><div></div><div>
Job Description Summary</div></div><div><div>
The Data Solutions Engineer is responsible for designing, building, and maintaining scalable data pipelines and analytics models that support Horizon Commerce&rsquo;s retail media and commerce intelligence platforms. This role focuses on data engineering and analytics enablement, partnering closely with analytics, product, and client-facing teams to ensure high-quality, reliable data used for measurement, forecasting, and optimization.</div></div><div></div><div><div>
Key Responsibilities</div></div><div><ul><li>
Design, implement, and maintain scalable data pipelines supporting retail media and ecommerce analytics platforms</li><li>
Develop and optimize dbt models and SQL transformations to ensure accuracy, consistency, and performance across datasets</li><li>
Manage data ingestion from multiple external sources, including APIs, retail media platforms, and third-party data providers</li><li>
Monitor and troubleshoot workflow orchestration systems (e.g., Airflow), ensuring reliable and timely data delivery</li><li>
Partner with analytics and product teams to translate business requirements into efficient data models and metrics definitions</li><li>
Manage cloud-based data infrastructure (e.g., AWS services, Airflow, Snowflake), including permissions, environments, and usage optimization</li><li>
Implement and maintain version control, documentation, and CI/CD practices for data workflows to support transparency and reproducibility</li><li>
Proactively identify and automate manual or repetitive data processes to improve reliability and reduce operational overhead</li><li>
Collaborate with client-facing analysts and engineers to publish verified datasets and enable reporting, forecasting, and client deliverables</li><li>
Ensure data quality, integrity, and compliance through consistent validation, monitoring, and security best practices</li></ul></div><div></div><div><div>
Qualifications</div></div></div><div><div><ul><li>
5-8 years of experience in data engineering, analytics engineering, or data platform roles</li></ul></div><div><ul><li><div>
Experience identifying and automating manual data processes</div></li><li>
Exposure to infrastructure best practices such as CI/CD for data workflows</li><li>
Experience supporting data shares and client-facing data delivery workflows</li><li>
Experience maintaining or developing web scraping pipelines (e.g., Selenium)</li><li>
Experience working with retail media or ecommerce platform data (e.g., Amazon Ads, Walmart Connect, Target Roundel)</li><li>
Strong communication skills and the ability to explain technical concepts to cross-functional stakeholders</li><li>
Ability to operate independently and take ownership of critical production systems</li><li>
Experience using Git for version control and collaborative development workflows</li><li>
Experience managing service accounts, API credentials, and secure key-based authentication (e.g., public/private key management)</li><li>
Experience troubleshooting API integrations, authentication issues, schema changes, and pipeline failures</li><li>
Familiarity with AWS services supporting data platforms, including S3, Lambda, EC2, IAM roles, CloudWatch, and related infrastructure components</li><li>
Experience managing data ingestion processes such as Snowpipe or equivalent streaming/batch ingestion frameworks</li><li>
Advanced SQL skills and experience working with cloud data warehouses such as Snowflake, BigQuery, or Redshift</li><li>
Strong experience with dbt for data modeling, testing, and transformation best practices</li><li>
Experience working with ELT tools such as Fivetran and managing third-party data connectors</li><li>
Hands-on experience with workflow orchestration tools such as Airflow, including DAG management, scheduling, monitoring, and troubleshooting</li><li>
Strong proficiency in Python for building, maintaining, and troubleshooting production data pipelines</li></ul></div><div></div><div><div>
Preferred Qualifications</div></div><div><ul><li>
Bachelor&rsquo;s degree or equivalent experience in Computer Science, Data Science, Engineering, or a related quantitative field</li><li>
Experience working with retail media or ecommerce data</li></ul></div><div><ul><li>
Prior experience supporting client-facing analytics or consulting teams</li><li>
Experience with Git-based version control and collaborative development workflows</li><li>
Experience with analytics or business intelligence tools</li><li>
Familiarity with measurement concepts such as incrementality, attribution, and forecasting</li><li>
Familiarity with retail performance metrics such as ROAS, incremental revenue, and new-to-brand measurement</li></ul></div><div></div><div><div>
#LI-KG1</div><div>
#LI-HYBRID</div><div>
#HC</div></div></div><div></div><div><i>
Horizon Media is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.</i></div><div></div><div>
Salary Range</div>
$140,000.00 - $170,000.00<div></div><div><i>
A successful applicant&rsquo;s actual base salary may vary based on factors such as individual&rsquo;s skill sets, experience, training, education,</i><i> licensure/certifications,</i><i> and qualifications for the role. </i><i>As an organization, we take an aptitude and competency-based hiring approach.</i><i> </i><i>We provide a competitive total rewards package including a discretionary bonus and a variety of benefits including health insurance coverage, life and disability insurance, retirement savings plans, company paid holidays and unlimited paid time off (PTO), mental health and wellness resources, pet insurance, childcare resources, identity theft insurance, fertility assistance programs, and fitness reimbursement.</i></div></div>

<div>Job Description:
<div>
Our purpose and mission are what guides us and represents our promise to all our stakeholders &ndash;customers, partners, employees, influencers, shareholders, and communities.<br>
Schneider&rsquo;s purpose is to create Impact by empowering all to make the most of our energy and resources, bridging progress and sustainability for all. At Schneider, we call this Life Is On.<br>
Our mission is to be the trusted partner in Sustainability and Efficiency.<br>
Our renewed purpose highlights our commitment to create lasting impact while maintaining ourpromise to make the most of our energy and resources bridging progress and sustainability for all.</div><div><br>
As a Data &amp; Solutions Engineer at Schneider Electric, you will play a key role in transforming raw data into actionable insights that drive strategic and operational decisions across the organization. You will collaborate closely with cross-functional teams to design and deliver innovative digital solutions that optimize business performance.
<br>
In addition to your data analytics responsibilities, you will contribute to application development initiatives, working in a model similar to a software house environment. You will help build, enhance, and maintain internal applications and analytical tools that address complex business challenges. Leveraging your understanding of business processes and technology, you will also support solution architecture activities, ensuring that developed solutions are scalable, user-centric, and aligned with Schneider Electric&rsquo;s digital transformation strategy.
<br>
Your analytical expertise, technical capabilities, and problem-solving mindset will be essential in driving efficiency, automating workflows, and creating impactful solutions that support sustainable and data-driven decision-making.</div><div></div><div><br>
Key Responsibilities:</div><div><br>
Transform raw data into structured, analytics-ready datasets using Power Query and other ETL techniques, ensuring accuracy and consistency for downstream analysis.
<br>
Analyze and interpret complex datasets to generate actionable insights that support strategic business decisions and operational improvements.
<br>
Design, develop, and maintain interactive Power BI dashboards and data visualization solutions that clearly communicate trends, KPIs, and performance metrics to stakeholders.
<br>
Develop and enhance internal applications and digital tools using PowerApps, Excel automation, and Power Automate to streamline workflows, automate business processes, and solve operational challenges.
<br>
Collaborate cross-functionally with business, IT, and engineering teams to deliver
<br>
end-to-end data and digital solutions aligned with organizational priorities.</div><div>
Act as a technical problem-solver, proposing data-driven optimizations and digital enhancements to improve efficiency, reduce manual effort, and support continuous improvement.
<br>
Design data models, reporting structures, and user-centric dashboards that enable informed, real-time decision-making across the business.
<br>
Contribute to solution architecture activities by assisting in the design of scalable, integrated data and application ecosystems that meet both functional and technical requirements.
<br>
Apply Agile methodologies to manage IT and digital transformation projects, ensuring timely delivery, iterative development, and continuous value generation.Ensure system reliability, data quality, and platform performance across all analytical and application development initiatives.</div>
(External) English Qualifications:
<div>
Qualifications:</div><ul><li>
Bachelor&rsquo;s degree in Software Engineering, Computer Science, Business Informatics, Information Systems, or a related field.</li><li>
Strong analytical, critical-thinking, and problem-solving skills, with the ability to
<br>
understand business needs and propose logical technical solutions.</li><li>
Basic knowledge of Power BI, PowerApps, Excel automation, Power Automate, or
<br>
similar data/digital tools (academic, internships, or self-learning acceptable).</li><li>
Fundamental understanding of application development concepts, whether through coursework, projects, or personal learning initiatives.</li><li>
Basic awareness of solution architecture principles, such as data modeling, system integration, scalability, and user-centric design.</li><li>
Ability to design charts, dashboards, or simple applications as part of academic or personal projects.</li><li>
Excellent communication, presentation, and teamwork skills, with the ability to
<br>
collaborate effectively with diverse stakeholders.</li><li>
Fluency in English is required; French language skills are an advantage.</li><li>
Familiarity with Agile methodologies (through university projects, certifications, or online courses) is a plus.</li><li>
Motivated, eager to learn, and capable of adapting quickly in a digital and fast-paced environment.</li></ul><div></div><div><b><br>
Let us learn about you! Apply today.</b></div>
(External) English Company Boiler Plate:<div></div><p><b><br>
Looking to make an IMPACT with your career?</b></p><p>
When you are thinking about joining a new team, culture matters. At Schneider Electric, our values and behaviors are the foundation for creating a great culture to support business success. We believe that our IMPACT values &ndash; Inclusion, Mastery, Purpose, Action, Curiosity, Teamwork &ndash; starts with us.</p><p>
IMPACT is also your invitation to join Schneider Electric where you can contribute to turning sustainability ambition into actions, no matter what role you play. It is a call to connect your career with the ambition of achieving a more resilient, efficient, and sustainable world.</p><p>
We are looking for IMPACT Makers; exceptional people who turn sustainability ambitions into actions at the intersection of automation, electrification, and digitization. We celebrate IMPACT Makers and believe everyone has the potential to be one.</p><p>
Become an IMPACT Maker with Schneider Electric &ndash; apply today!</p><p>
&euro;36 billion global revenue<br>
+13% organic growth<br>
150 000+ employees in 100+ countries<br>
#1 on the Global 100 World&rsquo;s most sustainable corporations</p><div></div><div><br>
You must submit an online application to be considered for any position with us. This position will be posted until filled.</div><div></div><div><i><br>
Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best. We mirror the diversity of the communities in which we operate, and &lsquo;inclusion&rsquo; is one of our core values. We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do.</i></div><div><br>
</div><div><i>At Schneider Electric, we uphold the highest standards of ethics and compliance, and we believe that trust is a foundational value. Our Trust Charter is our Code of Conduct and demonstrates our commitment to ethics, safety, sustainability, quality and cybersecurity, underpinning every aspect of our business and our willingness to behave and respond respectfully and in good faith to all our stakeholders. You can find out more about our Trust Charter </i><i>here</i><br>
<br>
<i>Schneider Electric is an Equal Opportunity Employer. It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status, or any other legally protected characteristic or conduct.</i></div></div><div></div>

Adobe

The Opportunity
<br><br>
Step into the position of Adobe Experience Platform Data Solutions Engineer in San Jose, CA. Join a dynamic team enthusiastic about innovation and committed to building new solutions on powerful technology! Collaborate with engaged colleagues in an inclusive work environment. Your impact will extend to millions worldwide and help Adobe fulfill its vision of empowering creativity and transforming digital environments.
<br>In this role, you will collaborate within the Adobe Experience Platform suite, leveraging scalable data infrastructure, machine learning models, and a personalization platform. You will independently address data onboarding requests and aid teams in onboarding data to activate campaigns and personalized experiences! The ideal candidate enjoys working together with data science and product SDK teams to develop resilient solutions.
<br><br>
<b>ATTENTION:</b> This position requires hands-on expertise with Adobe Experience Platform, including direct involvement in data workflows, identity, and governance procedures within the platform. Candidates with substantial, practical AEP experience will be strongly preferred. What you will do
<br>Build, develop, and maintain scalable data pipelines and ETL processes to support data-driven decision-making.
<br>Collaborate with multi-functional teams including business partners and engineers to determine data requirements and successfully implement data solutions.
<br>Have an Enterprise outlook when facing challenging business and data problems. This ensures the solution meets the needs of the entire Enterprise, not just one business unit.
<br>Possess the knowledge and experience to advocate for the “right” data solution vs. compromises that will not withstand Enterprise rigor.
<br>Ensure data accuracy and code integrity through strict quality control measures.
<br>Develop and maintain comprehensive documentation for data processes and solutions.
<br>Represent internal business teams feedback on platform capabilities that will inform the broader product and engineering roadmap for internal Adobe tools.
<br>What you will need
<br>Minimum of 1-3 years of hands-on experience with Adobe Experience Platform offerings such as Real Time CDP, Adobe Journey Optimizer, Customer Journey Analytics.
<br>Bachelor's degree or equivalent experience in Computer Science, Engineering, or a related field.
<br>Demonstrated expertise in schema building, data pipeline configuration, profile management, and ETL procedures.
<br>Strong proficiency in SQL, Python, API, and data visualization tools.
<br>Outstanding problem-solving skills and attention to detail.
<br>Ability to work collaboratively in an ambitious, fast-paced environment.
<br>Technical certification in AEP RTCDP strongly preferred.
<br>About Adobe
<br>Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
<br><br>
Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
<br><br>
Let’s Adobe together
<br>At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture , focus on people, purpose and community , Adobe for All , comprehensive benefits programs , the stories we tell , the customers we serve, and how you can help us advance our mission of empowering everyone to create.
<br><br>
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.
<br><br>
Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.
<br><br>
<b>AI Use Guidelines for Interviews:</b><br>
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.
<br><br>
At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience .
<br><br>
<b>Expected Pay Range:</b> Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $133,100 -- $236,400 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
<br><br>
In California, the pay range for this position is $163,200 - $236,400
<br><br>
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
<br><br>
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
<br><br>
<b>State-Specific Notices:</b><br>
<b>California :</b><br>
Fair Chance Ordinances
<br>Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
<br><br>
<b>Colorado:</b><br>
Application Window Notice
<br><br>
If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
<br><br>
<b>Massachusetts:</b><br>
Massachusetts Legal Notice
<br>It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

AEP Data Solutions Engineer

The Opportunity
<br>Step into the position of Adobe Experience Platform Data Solutions Engineer in San Jose, CA. Join a dynamic team enthusiastic about innovation and committed to building new solutions on powerful technology! Collaborate with engaged colleagues in an inclusive work environment. Your impact will extend to millions worldwide and help Adobe fulfill its vision of empowering creativity and transforming digital environments.
<br><br>
In this role, you will collaborate within the Adobe Experience Platform suite, leveraging scalable data infrastructure, machine learning models, and a personalization platform. You will independently address data onboarding requests and aid teams in onboarding data to activate campaigns and personalized experiences! The ideal candidate enjoys working together with data science and product SDK teams to develop resilient solutions.
<br><br>
<b>ATTENTION :</b> This position requires hands-on expertise with Adobe Experience Platform, including direct involvement in data workflows, identity, and governance procedures within the platform. Candidates with substantial, practical AEP experience will be strongly preferred.
<br>What you will do
<br>Serve as lead data solutions engineer and architect new data solutions on the AEP platform, including core datasets leveraged by hundreds of users
<br>Build, develop, and maintain scalable data pipelines and ETL processes to support data-driven decision-making.
<br>Collaborate with multi-functional teams, including business partners and engineers to determine data requirements and successfully implement data solutions.
<br>Have an Enterprise outlook when facing challenging business and data problems. This ensures the solution meets the needs of the entire Enterprise, not just one business unit.
<br>Possess the knowledge and experience to advocate for the “right” data solution vs. compromises that will not withstand Enterprise rigor.
<br>Ensure data accuracy and code integrity through strict quality control measures.
<br>Develop and maintain comprehensive documentation for data processes and solutions.
<br>Represent internal business teams feedback on platform capabilities that will inform the broader product and engineering roadmap for internal Adobe tools.
<br>What you will need
<br>Minimum of 2-3 years of direct experience with Adobe Experience Platform solutions such as Real Time CDP, Adobe Journey Optimizer, Customer Journey Analytics
<br>Minimum 7-10 years in a lead or expert role, such as consulting or expert proficiency
<br>Bachelor's degree or equivalent experience in Computer Science, Engineering, or a related field.
<br>Demonstrated expertise in schema building, data pipeline configuration, profile management, and ETL procedures.
<br>Strong proficiency in SQL, Python, API, and data visualization tools.
<br>Outstanding problem-solving skills and attention to detail.
<br>Ability to work collaboratively in an ambitious, fast-paced environment.
<br>Technical certification in AEP RTCDP strongly preferred.
<br>About Adobe
<br>Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
<br><br>
Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
<br><br>
Let’s Adobe together
<br>At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture , focus on people, purpose and community , Adobe for All , comprehensive benefits programs , the stories we tell , the customers we serve, and how you can help us advance our mission of empowering everyone to create.
<br><br>
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.
<br><br>
Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.
<br><br>
<b>AI Use Guidelines for Interviews:</b><br>
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.
<br><br>
At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience .
<br><br>
<b>Expected Pay Range:</b> Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $154,900 -- $281,000 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
<br><br>
In California, the pay range for this position is $194,000 - $281,000
<br><br>
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
<br><br>
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
<br><br>
<b>State-Specific Notices:</b><br>
<b>California :</b><br>
Fair Chance Ordinances
<br>Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
<br><br>
<b>Colorado:</b><br>
Application Window Notice
<br><br>
If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
<br><br>
<b>Massachusetts:</b><br>
Massachusetts Legal Notice
<br>It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

AEP Lead Data Solutions Engineer

Muller's Solutions

<div><p>M&uuml;ller&rsquo;s Solutions is looking for an experienced Big Data Engineer to join our innovative team. In this role, you will be responsible for designing and developing scalable big data solutions that enable advanced analytics and insights across the organization. You will work with large data sets and utilize cutting-edge technologies to ensure data processing is efficient and reliable.</p>
Key Responsibilities:<ul>
<li>Design, build, and maintain scalable data pipelines using big data technologies such as Apache Spark, Hadoop, and Kafka.</li>
<li>Collaborate with data scientists, analysts, and IT teams to identify data requirements and deliver solutions that meet business needs.</li>
<li>Ensure high data quality and integrity by implementing robust data validation and testing processes.</li>
<li>Optimize data storage solutions for performance and cost-efficiency across cloud and on-premises environments.</li>
<li>Monitor and troubleshoot data processing workflows to ensure timely data delivery.</li>
<li>Document data architectures, processes, and workflows for knowledge sharing and compliance.</li>
<li>Stay ahead of industry trends and best practices in big data technologies and methodologies.</li><br>
</ul><br>
<br>
<b>Requirements</b><p><b><br>
Requirements:</b></p><ul>
<li>Bachelor's degree in Computer Science, Information Technology, or a related field.</li>
<li>3+ years of experience as a Big Data Engineer or in a similar data engineering role.</li>
<li>Proficiency in big data technologies such as Apache Spark, Hadoop, and Apache Kafka.</li>
<li>Strong coding skills in programming languages like Java, Scala, or Python.</li>
<li>Familiarity with data processing frameworks and ETL tools.</li>
<li>Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and data storage solutions (e.g., HDFS, S3, BigQuery).</li>
<li>Analytical mindset and excellent problem-solving abilities.</li>
<li>Strong communication skills to collaborate effectively with technical and non-technical stakeholders.</li>
<li>A self-motivated and proactive approach to work, with the ability to manage multiple tasks and deadlines.</li>
</ul><p><b>Preferred Qualifications:</b></p><ul>
<li>Experience with machine learning frameworks and algorithms is a plus.</li>
<li>Knowledge of data governance and security best practices.</li>
<li>Familiarity with containerization technologies and orchestration tools like Docker and Kubernetes.</li><br>
</ul><br>
<br>
<b>Benefits</b><p><br>
1- Attractive Package.
</p><p>2- Family Benefits.
</p><p>3- Visa.</p><p>
4-Air Tickets.</p></div><p></p>

Big Data Engineer

Müller's Solutions

<div>
 M&uuml;ller's Solutions is looking for an experienced Big Data Engineer to join our innovative team. In this role, you will be responsible for designing and developing scalable big data solutions that enable advanced analytics and insights across the organization. You will work with large data sets and utilize cutting-edge technologies to ensure data processing is efficient and reliable.
 <br/>
 <br/>
 <strong>
  Key Responsibilities:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, build, and maintain scalable data pipelines using big data technologies such as Apache Spark, Hadoop, and Kafka
  </li>
  <li>
   Collaborate with data scientists, analysts, and IT teams to identify data requirements and deliver solutions that meet business needs
  </li>
  <li>
   Ensure high data quality and integrity by implementing robust data validation and testing processes
  </li>
  <li>
   Optimize data storage solutions for performance and cost-efficiency across cloud and on-premises environments
  </li>
  <li>
   Monitor and troubleshoot data processing workflows to ensure timely data delivery
  </li>
  <li>
   Document data architectures, processes, and workflows for knowledge sharing and compliance
  </li>
  <li>
   Stay ahead of industry trends and best practices in big data technologies and methodologies
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <strong>
  Requirements:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's degree in Computer Science, Information Technology, or a related field
  </li>
  <li>
   3+ years of experience as a Big Data Engineer or in a similar data engineering role
  </li>
  <li>
   Proficiency in big data technologies such as Apache Spark, Hadoop, and Apache Kafka
  </li>
  <li>
   Strong coding skills in programming languages like Java, Scala, or Python
  </li>
  <li>
   Familiarity with data processing frameworks and ETL tools
  </li>
  <li>
   Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and data storage solutions (e.g., HDFS, S3, BigQuery)
  </li>
  <li>
   Analytical mindset and excellent problem-solving abilities
  </li>
  <li>
   Strong communication skills to collaborate effectively with technical and non-technical stakeholders
  </li>
  <li>
   A self-motivated and proactive approach to work, with the ability to manage multiple tasks and deadlines
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with machine learning frameworks and algorithms is a plus
  </li>
  <li>
   Knowledge of data governance and security best practices
  </li>
  <li>
   Familiarity with containerization technologies and orchestration tools like Docker and Kubernetes
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 1- Attractive Package.
 <br/>
 <br/>
 2- Family Benefits.
 <br/>
 <br/>
 3- Visa.
 <br/>
 <br/>
 4-Air Tickets.
</div>


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