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cloud data engineer

Southern Company

<div><p>This position will be filled in the Data Analytics team within Technology Services. Data Engineer will be responsible for designing, developing, and maintaining our data infrastructure. This role involves working closely with data scientists, analysts, and other stakeholders to ensure that data pipelines are efficient, reliable, and scalable. The ideal candidate will have a strong background in data engineering, a passion for technology, and a commitment to delivering high-quality solutions.</p>
<p><b>Education/Experience:</b></p>
<ul><li><div>Bachelor&rsquo;s degree in computer science/engineering or related degree preferred</div></li>
<li><div>
Experience with implementing analytics solutions using the Microsoft analytics toolset and Microsoft Azure</div></li>
<li><div>
Experience working in a fast-paced, competitive information technology organization</div></li>
<li><div>
Exempt 05 requires minimum 3 years of experience</div></li>
<li><div>
Exempt 06 requires minimum 5 years of experience</div></li>
</ul>
<p><b>Knowledge/Skills:</b></p>
<p><b>1. Strong Programming Skills</b></p>
<ul><li><div><b>Languages:</b> Proficient in languages like SQL, Python, or Java. These are essential for building data pipelines, scripting automation, and manipulating data.</div></li>
<li><div><b>
Efficiency:</b> Writing efficient, scalable, and clean code to handle large datasets and optimize performance.</div></li>
</ul>
<p><b>2. Deep Knowledge of Databases &amp; Data Warehousing</b></p>
<ul><li><div><b>SQL and NoSQL:</b> Mastery in relational databases (like MS SQL Server, MySQL, PostgreSQL, Oracle) and NoSQL databases (like MongoDB, Cassandra, DynamoDB), knowing when and how to use each type.</div></li>
<li><div><b>
Data Warehousing:</b> Expertise in using platforms like MS SQL Server, Oracle, Amazon Redshift, Google BigQuery, Snowflake, or traditional data warehouses to store, query, and manage large volumes of data.</div></li>
<li><div><b>
Database Optimization:</b> Skills in optimizing queries, indexing, partitioning, and designing efficient database schemas for high performance.</div></li>
</ul>
<p><b>3. Expertise in Data Pipeline Construction</b></p>
<ul><li><div><b>ETL/ELT Processes:</b> Proven ability to design and build robust ETL pipelines (Extract, Transform, Load) for collecting, cleaning, and moving data.</div></li>
<li><div><b>
Real-time and Batch Processing:</b> Experience working with both batch and real-time data processing frameworks (e.g., Apache Kafka, Apache Flink, Apache Spark, Databricks).</div></li>
<li><div><b>
Data Orchestration:</b> Familiarity with orchestration tools like Apache Airflow.</div></li>
<li><div><b>
Strong knowledge of Medallion Architecture</b>
</div></li></ul><p><b>4. Cloud Platform Expertise</b></p>
<ul><li><div><b>Cloud Services:</b> Proficiency in cloud platforms like Azure* (SQL Database, Data Lake, Lake House), AWS (S3, Lambda, Redshift), or Google Cloud (BigQuery, Dataflow). *Azure is preferred.</div></li>
<li><div><b>
Scalability:</b> Ability to design systems that scale efficiently in the cloud, handling big data and increasing demand without sacrificing performance.</div></li>
</ul>
<p><b>5. Data Transformation and Cleaning Skills</b></p>
<ul><li><div><b>Data Quality Management:</b> Experience in data cleansing, validation, and transformation, ensuring that data is accurate, complete, and in the right format for analysis.</div></li>
<li><div><b>
Data Integration:</b> Expertise in integrating data from diverse sources (internal and external) while resolving issues like inconsistency or format mismatches.</div></li>
</ul>
<p><b>6. Performance Optimization and Troubleshooting</b></p>
<ul><li><div><b>Query Optimization:</b> Ability to fine-tune queries, databases, and pipelines to reduce latency, optimize resource usage, and speed up data processing.</div></li>
<li><div><b>
System Monitoring:</b> Familiarity with monitoring systems and logging tools to detect, diagnose, and resolve performance or data issues.</div></li>
</ul>
<p><b>7. Strong Analytical Skills</b></p>
<ul><li><div><b>Data Interpretation:</b> Ability to translate business requirements into technical solutions, ensuring the correct data is collected and processed for reporting, analytics, and decision-making.</div></li>
<li><div><b>
Problem Solving:</b> A strong ability to troubleshoot and resolve complex data challenges or inconsistencies that can affect the integrity and availability of data.</div></li>
</ul>
<p><b>8. Knowledge of Big Data Tools</b></p>
<ul><li><div><b>Big Data Frameworks:</b> Familiarity with big data technologies such as Spark or Flink for processing large datasets across distributed systems.</div></li>
<li><div><b>
Data Lakes and Data Pipelines:</b> Experience with data lakes (e.g., Azure Lakehouse, AWS S3, HDFS) for storing raw and unstructured data and building pipelines to process it efficiently.</div></li>
</ul>
<p><b>9. Collaboration and Communication Skills</b></p>
<ul><li><div><b>Cross-functional Collaboration:</b> Proven ability to work closely with data scientists, analysts, and other stakeholders to understand data needs and deliver optimal solutions.</div></li>
<li><div><b>
Clear Communication:</b> Ability to explain technical concepts to non-technical stakeholders, ensuring that data infrastructure decisions align with business goals.</div></li>
</ul>
<p><b>10. Data Security &amp; Governance Awareness</b></p>
<ul><li><div><b>Data Privacy:</b> Knowledge of data privacy regulations (e.g., GDPR, CCPA) and ensuring that systems comply with these laws while managing sensitive data.</div></li>
<li><div><b>
Access Control:</b> Implementing strong data access controls, encryption, and monitoring to secure data both at rest and in transit.</div></li>
</ul>
<p><b>11. Adaptability to New Tools and Technologies</b></p>
<ul><li><div><b>Continuous Learning:</b> A strong commitment to keeping up with the rapidly evolving tech landscape, experimenting with and implementing new tools, frameworks, and approaches to data engineering.</div></li>
<li><div><b>
Flexibility:</b> Adaptability to changing data architectures or business needs, ensuring data systems remain resilient and future-proof.</div></li>
</ul>
<p><b>12. Automation &amp; DevOps Skills</b></p>
<ul><li><div><b>Automation Tools:</b> Familiarity with CI/CD pipelines and automation tools (like Jenkins, Docker, Kubernetes) to streamline development and deployment of data engineering solutions.</div></li>
<li><div><b>
Infrastructure as Code (IaC):</b> Experience with tools like Terraform or Azure Resource Manager (ARM) to manage data infrastructure efficiently.</div></li>
</ul>
<p><b>General Job Responsibilities:</b></p>
<div><div><p><b>Data Pipeline Development:</b></p></div>
<div><p>
Designing, building, and maintaining robust data pipelines to collect, clean, and process data from various sources. Using Microsoft Analytics Tool stack on-prem and Azure Cloud. For example, SSIS, SSAS, SQL Server, Azure Lake House, MS Fabric, Databricks etc.</p></div>
<div><p>
Ensuring data is stored efficiently for easy access and retrieval (e.g., in data lakes, warehouses).</p></div>
<div><p><b>
Data Integration:</b></p></div>
<div><p>
Integrating data from multiple systems, applications, and external sources.</p></div>
<div><p>
Ensuring data is harmonized and available in a format suitable for analysis.</p></div>
<div><p><b>
Database Management:</b></p></div>
<div><p>
Creating and managing databases, ensuring that they are optimized for performance, security, and scalability.</p></div>
<div><p>
Handling structured and unstructured data.</p></div>
<div><p><b>
Data Quality Assurance:</b></p></div>
<div><p>
Monitoring and ensuring the accuracy, consistency, and reliability of data.</p></div>
<div><p>
Implementing processes for data validation, cleansing, and enrichment.</p></div>
<div><p><b>
Performance Optimization:</b></p></div>
<div><p>
Optimizing queries and databases for faster performance and lower latency.</p></div>
<div><p>
Tuning and troubleshooting database performance issues.</p></div>
<div><p><b>
Collaboration with Data Scientists &amp; Analysts:</b></p></div>
<div><p>
Working closely with data scientists, analysts, and other stakeholders to understand data needs.</p></div>
<div><p>
Ensuring data is ready and available for analysis, machine learning models, and reporting.</p></div>
<div><p><b>
ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) Processes:</b></p></div>
<div><p>
Implementing ETL/ELT processes to extract data from different sources, transform it into usable formats, and load it into data warehouses or lakes.</p></div>
<div><p>
Understanding the different and when to apply each approach</p></div>
<div><p><b>
Automation and Monitoring:</b></p></div>
<div><p>
Automating repetitive tasks related to data processing and integration.</p></div>
<div><p>
Setting up monitoring to track data quality, pipeline performance, and system health.</p></div>
<div><p><b>
Data Security &amp; Compliance:</b></p></div>
<div><p>
Ensuring data security measures are in place to protect sensitive information.</p></div>
<div><p>
Adhering to data privacy regulations and compliance standards, such as GDPR or CCPA.</p></div>
<div><p><b>
Tool and Technology Evaluation:</b></p></div>
<div><p>
Evaluating and implementing new tools, frameworks, and technologies to improve data infrastructure.</p></div>
<div><p>
Keeping up to date with the latest trends in big data and cloud technologies.</p></div>
</div>
<p><b>Core Behavioral Attributes:</b></p>
<p>Additional required behavioral attributes:</p>
<ul><li><div>Results-oriented</div></li>
<li><div>
Innovative
</div></li><li><div>Strategic thinker with an enterprise view for sustainable solutions
</div></li><li><div>Committed to continuous learning and improvement
</div></li><li><div>Committed to the development of others
</div></li><li><div>Committed to building and maintaining constructive partnerships with business partners
</div></li><li><div>Works well both independently and with others
</div></li><li><div>Acts with speed and decisiveness
</div></li><li><div>Committed to ethical conduct
</div></li><li><div>Lives and works safely</div></li>
</ul>
<p><b>Note: The position is Hybrid, Atlanta, GA or Birmingham, AL. Four days in the office; and one day remote a week.</b></p>
<p><b>About Southern Company</b></p>
<p>Southern Company (NYSE: SO ) is a leading energy provider serving 9 million customers across the Southeast and beyond through its family of companies. Providing clean, safe, reliable and affordable energy with excellent service is our mission. The company has electric operating companies in three states, natural gas distribution companies in four states, a competitive generation company, a leading distributed energy solutions provider with national capabilities, a fiber optics network and telecommunications services. Through an industry-leading commitment to innovation, resilience and sustainability, we are taking action to meet customers' and communities' needs while advancing our goal of net-zero greenhouse gas emissions by 2050. Our uncompromising values ensure we put the needs of those we serve at the center of everything we do and are the key to our sustained success. We are transforming energy into economic, environmental and social progress for tomorrow. Our corporate culture has been recognized by a variety of organizations, earning the company awards and recognitions that reflect Our Values and dedication to service. To learn more, visit www.southerncompany.com .</p>
<p>Southern Company invests in the well-being of its employees and their families through a comprehensive total rewards strategy that includes competitive base salary, annual incentive awards for eligible employees and health, welfare and retirement benefits designed to support physical, financial, and emotional/social well-being. This position may also be eligible for additional compensation, such as an incentive program, with the amount of any bonus/awards subject to the terms and conditions of the applicable incentive plan(s). A summary of the benefits offered for this position can be found here https://seo.nlx.org/southernco/pdf/SOCO-Benefits.pdf . Additional and specific details about total compensation and beneﬁts will also be provided during the hiring process.</p>
<p>Southern Company is an equal opportunity employer where an applicant's qualifications are considered without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, sexual orientation, gender identity or expression, or any other basis prohibited by law.</p>
<p>Job Identification: 18886</p>
<p>Job Category: Information Technology</p>
<p>Job Schedule: Full time</p>
<p>Company: Southern Company Services</p></div>

Data Engineer I or II

Capgemini

<div><div><div><div><p>Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.</p>
<div><div><div><h2 class="jobSectionHeader"><b>Location
</b></h2></div><div><p>The Job is located in Charlotte, NC - Hybrid Onsite</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>Your Role
</b></h2></div><div><p>We are looking for a motivated Data Engineer with foundational knowledge in Java or Scala and exposure to Apache Spark and Google Cloud Platform GCP This role is ideal for someone eager to build scalable data pipelines and grow in distributed data processing and cloud technologies</p><br>
<p></p><p><b>Required Skill</b></p>
<ul><li>Good understanding of Java or Scala and Python programming</li>
<li>Basic knowledge of Apache Spark Spark SQL DataFrames preferred</li>
<li>Exposure to GCP services such as
<br>
o DataProc
<br>
o BigQuery
<br>
o Cloud Storage</li>
<li>Basic understanding of data streaming concepts</li>
<li>Familiarity with Git for version control</li>
<li>Basic understanding of CICD concepts</li>
<li>Strong problemsolving and debugging skills</li>
</ul></div></div></div><p>The base compensation range for this role in the posted location is: 56186 - 87556</p>
<p>Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.</p>
<p>The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.</p>
<p>These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.</p>
<p>It is not typical for candidates to be hired at or near the top of the posted compensation range.</p>
<p>In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.</p><br>
<p></p><p><b>Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees.</b> In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:</p>
<ul><li>Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave</li>
</ul><ul><li>Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)</li>
<li>Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)</li>
<li>Life and disability insurance</li>
<li>Employee assistance programs</li>
<li>Other benefits as provided by local policy and eligibility</li>
</ul><p><b>Important Notice:</b> Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini&rsquo;s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.</p><br>
<p></p><p><b>Disclaimers</b></p>
<p>Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.</p>
<p>This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.</p>
<p>Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.</p>
<p>Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law</p><br>
<p></p><p>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</p></div></div></div></div><p></p>

Python Data Engineer

<div><div><div><div><p>Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.</p>
<div><div><div><h2 class="jobSectionHeader"><b>Job Description</b></h2>
</div><div>Data engineers are responsible for building reliable and scalable data infrastructure that enables organizations to derive meaningful insights, make data-driven decisions, and unlock the value of their data assets.</div>
</div><div><div><h2 class="jobSectionHeader"><b>Location</b></h2>
</div><div><p>Anywhere in the USA</p>
<p><b>About the job you're considering</b></p>
<p>We are seeking a Senior Staff Data Engineer &ndash; API with strong Google Cloud Platform (GCP) experience to design, build, and support scalable enterprise data platforms. This role is hands-on and highly collaborative, requiring strong problem-solving skills and the ability to work in fast-paced, matrixed environments.</p><br>
<p></p><p><b>Your role</b></p><br>
<p></p><p>Design, build, and maintain scalable data pipelines and APIs on Google Cloud Platform.</p>
<p>Develop automated workflows and data platforms that support analytics, reporting, and AI/ML use cases.</p>
<p>Implement best practices for data security, governance, CI/CD, and automated deployment.</p>
<p>Collaborate with data engineers, architects, data scientists, and business stakeholders.</p>
<p>Produce high-quality, reusable code and mentor team members on best practices.</p>
<p>Support testing, deployment, monitoring, and production troubleshooting.</p><br>
<p></p><p><b>Your skills and experience</b></p>
<p><b>Required</b></p><br>
<p></p><p>10+ years of IT experience with 5+ years in Data Engineering.</p>
<p>2+ years of hands-on experience with Google Cloud Platform.</p>
<p>Strong experience with BigQuery, Cloud Storage, Dataflow/Dataproc, Pub/Sub, and APIs.</p>
<p>Proficiency in SQL, data modeling, ETL/ELT, and streaming architectures.</p>
<p>Experience with CI/CD, Git/GitHub, and Agile methodologies.</p>
<p>Strong communication skills and ability to mentor junior engineers.</p><br>
<p></p><p><b>Preferred</b></p>
<p>Experience with Apigee, Python (FastAPI), Spark, Kafka, Vertex AI.</p>
<p>Google Cloud Professional Data Engineer Certification.</p>
<p>Bachelor&rsquo;s degree in Computer Science or related field (Master&rsquo;s preferred).</p>
<p>#LI-SD1</p>
</div></div></div><p>The base compensation range for this role in the posted location is $82,082 TO $193.440</p>
<p>Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.</p>
<p>The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.</p>
<p>These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.</p>
<p>It is not typical for candidates to be hired at or near the top of the posted compensation range.</p>
<p>In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.</p><br>
<p></p><p><b>Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees.</b> In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:</p>
<ul><li>Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave</li>
</ul><ul><li>Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)</li>
<li>Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)</li>
<li>Life and disability insurance</li>
<li>Employee assistance programs</li>
<li>Other benefits as provided by local policy and eligibility</li>
</ul><p><b>Important Notice:</b> Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini&rsquo;s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.</p><br>
<p></p><p><b>Disclaimers</b></p>
<p>Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.</p>
<p>This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.</p>
<p>Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.</p>
<p>Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law</p><br>
<p></p><p>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</p></div></div></div></div><p></p>

Senior GCP API Data Engineer

<div><div><div><div><p>Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.</p>
<p>Design and delivery of enterprise-scale data platforms on GCP, with BigQuery as the core analytics engine. &bull; Own data warehouse architecture, data modeling, and performance optimization in BigQuery. &bull; Design and implement ETL/ELT pipelines using GCP services like Dataflow, Dataproc, and Cloud Composer. &bull; Ensure data quality, reliability, security, and governance across all data pipelines. &bull; Optimize systems for scalability, cost efficiency, and operational excellence. &bull; Build and enforce engineering best practices including CI/CD, testing, and monitoring. &bull; Collaborate with analytics, data science, and business stakeholders to translate requirements into solutions. Able to work in Python. &bull; Act as a trusted technical advisor for modern data architecture and platform strategy.</p><br>
<p></p><div><div><div><h2 class="jobSectionHeader"><b>Job Description</b></h2>
</div><div>Data engineers are responsible for building reliable and scalable data infrastructure that enables organizations to derive meaningful insights, make data-driven decisions, and unlock the value of their data assets.</div>
</div><div><div><h2 class="jobSectionHeader"><b>Job Description - Grade Specific</b></h2>
</div><div>The involves leading and managing a team of data engineers, overseeing data engineering projects, ensuring technical excellence, and fostering collaboration with stakeholders. They play a critical role in driving the success of data engineering initiatives and ensuring the delivery of reliable and high quality data solutions to support the organizations data driven objectives.</div>
</div></div><p>The base compensation range for this role in the posted location is $73,150 to $174,000.</p>
<p>Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.</p>
<p>The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.</p>
<p>These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.</p>
<p>It is not typical for candidates to be hired at or near the top of the posted compensation range.</p>
<p>In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.</p><br>
<p></p><p><b>Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees.</b> In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:</p>
<ul><li>Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave</li>
</ul><ul><li>Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)</li>
<li>Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)</li>
<li>Life and disability insurance</li>
<li>Employee assistance programs</li>
<li>Other benefits as provided by local policy and eligibility</li>
</ul><p><b>Important Notice:</b> Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini&rsquo;s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.</p><br>
<p></p><p><b>Disclaimers</b></p>
<p>Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.</p>
<p>This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.</p>
<p>Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.</p>
<p>Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law</p><br>
<p></p><p>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</p></div></div></div></div><p></p>

Senior Data Engineer

Feedzai

<div><div><p>Feedzai is the world's first RiskOps platform for financial risk management, and the market leader in safeguarding global commerce with today's most advanced cloud-based risk management platform, powered by machine learning and artificial intelligence. Feedzai is securing the transition to a cashless world while enabling digital trust in every transaction and payment type. The world's largest banks, processors, and retailers trust Feedzai to protect trillions of dollars and manage risk while improving the customer experience for everyday users, without compromising privacy. Feedzai is a Series D company and has raised $282M to date. With a valuation of $2 billion, our technology protects 1 billion consumers and 90 billion transactions each year.</p></div><p>
The <b>Customer Success Professional Services Team</b> is responsible for leading the activation and post-activation for all Feedzai clients. We work cross-functionally across Feedzai and with our clients to collaborate and create seamless transitions throughout our client lifecycle. We take accountability, ownership and are tenacious as we execute strategies to help our clients achieve success. The challenges we tackle are complex, but we don't stop pushing forward until we overcome them. As a result, we're empowered to spark change every day, influencing the trajectory of our company and ourselves.</p><br>
<p><b>
You:</b><br>
We are looking for a <b>Project Manager</b> who has strong engagement skills, communicates clearly and demonstrates strong passion for successful business value and project delivery. You will combine tactical execution skills with strategic expertise to lead cross-functional teams through the entire project lifecycle. Being the client's primary point of contact, you should be able to handle multiple priorities and hold accountability for project execution.</p>
<p>
We expect you to continuously evolve your professional skills through trainings, self-development and, most importantly, by successfully delivering complex projects.</p><br>
<p><b>
Your Day to Day:</b></p>
<ul>
<li>Lead one or more projects by coordinating between external client(s) and internal cross-functional teams consisting of technical roles in a multicultural environment;</li>
<li>Have a 'leadership mindset' - Lead a project from start to finish, working with teammates from strategy, business analysis, engineering and quality assurance. Shepherd the team through challenges and ambiguity;</li>
<li>Lead every aspect of the project including but not limited to budget, timeline/scope, resource capacity / allocation, change management.</li>
<li>Prepare and conduct project meetings with the clients, including Show and Tells, Product Demos, Scoping Workshops and Steering Meetings.</li>
<li>Senior Stakeholder communication - present weekly meetings to clients and also Steering Committee meetings to Senior client stakeholder to communicate progress and risks at a Project &amp; Program level and drive decisions</li>
<li>Be 'value driven' - Ensure project roadmap supports the Customer Success team and business objectives to lead to 'value' beyond Delivery</li>
<li>Risk management - Effectively assess project risks, both technical and non-technical in nature, and deploy mitigation plans, internally and with clients;</li>
<li>Lead internal ceremonies - Dailies, Refinements and drive decisions and conclusions with cross-functional teams and leaders</li>
<li>Consultative Mindset - Learn over time the client's considerations and advise them on the right solutions while managing expectations</li>
<li>Product - Our Product is key to the success of our clients. Learn the Product effectively and engage constructively and regularly with the Product team</li>
</ul>
<p><b>You Have and Know-how:
</b></p><ul><li>MSc or BSc degree in Computer Science, Engineering, Technology or a similar degree;</li>
<li>One or more of the following certifications: PMP, CSM, PSM, CSPO, KMP;</li>
<li>Willingness to travel 20% of the project time;</li>
<li>Experience with the full Software Development Life Cycle (SDLC), managing fast-paced projects in both Agile (Scrum) and waterfall environments;</li>
<li>Skills in leadership, adaptability, problem solving, and critical thinking;</li>
<li>Be solution oriented, and when issues arise, be able to roll up sleeves and tackle them with a 'get it done' attitude;</li>
<li>Ability to cultivate relationships with clients, while managing expectations and being able to push-back when necessary, to ensure the success of the project;</li>
<li>Experience of managing projects for external clients;</li>
<li>Experience leading large discovery workshops and project kick-offs;</li>
<li>Experience with JIRA</li><br>
</ul>
<p><b>The Customer Success Team </b>is responsible for delivering our product to our clients. This includes education, configuration, solution development, and risk strategy to enable our clients to address their pain points. We collaborate with our clients to ensure they have the right solution, build out a strategy and training plan for them, and then support them through each phase of our client lifecycle. We grow at a fast clip and believe no challenge is too big or too small. Therefore, we have an open environment that encourages us to lean in, try new things, and discover our potential. <b>Join Us!</b><br>
<br>
#LI-BX1 #LI-Remote</p><p></p><div>
<p><b>
Your First 30-Days at Feedzai:</b></p>
<p>
You will be immersed in our brand with training, connections, and one-on-one time with your manager. You may shadow your colleagues virtually or onsite at an office depending on where you work as you are supported through your Feedzai journey. In addition, you will have access to a ton of information to give you history, context, and all the knowledge you can handle about Feedzai and the team. Finally, you will start working on projects and collaborating on work currently being done. We can't wait to have you join the team!</p>
<p>
Life at Feedzai Instagram</p>
<p>
Feedzai Culture</p>
<p></p>
<p><b>Feedzai is an Equal Opportunity Employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.</b></p>
<p><b>
Feedzai does not accept unsolicited resumes from recruiters or employment agencies.</b></p>
<p><b>
Feedzai will use the personal data you provide us with by filling out this form for reviewing your application and to potentially negotiate a contract with you. Your personal data will be retained by Feedzai for 24 months following your application. Please see our Privacy Notice available at https://www.feedzai.com/legal/feedzai-candidate-privacy-policy/ and https://www.feedzai.com/legal/feedzai-california-candidates-privacy-policy/ for more information on how we process your personal data.</b></p></div></div><p></p>

Technical Project Manager

YO IT Consulting

<div>
 <strong>
  Job Title:
 </strong>
 AI/ML Engineer
 <br/>
 <br/>
 <strong>
  Job Type:
 </strong>
 Full-Time
 <br/>
 <br/>
 <strong>
  Job Summary
  <br/>
  <br/>
 </strong>
 Join our team as a AI/ML Engineer and play a pivotal role in driving mission-critical government initiatives while also contributing to proprietary AI infrastructure, you&rsquo;ll harness advanced large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent orchestration to deliver secure, scalable, and impactful machine learning systems. You&rsquo;ll work closely with cross-functional experts, leveraging frontier AI platforms and the latest in agentic AI tooling.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications.
  </li>
  <li>
   Develop and orchestrate multi-agent systems using frameworks such as LangGraph and LangChain.
  </li>
  <li>
   Integrate and deploy solutions on secure cloud environments, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  </li>
  <li>
   Build robust data pipelines, manage ETL processes, and develop metadata catalogs and ontologies to ensure high-quality data for AI training and inference.
  </li>
  <li>
   Create and maintain REST APIs and SDK integrations to facilitate seamless data and model interactions.
  </li>
  <li>
   Collaborate with product, security, and engineering teams to ensure best-in-class delivery, following secure coding and DevOps best practices (CI/CD).
  </li>
  <li>
   Document technical decisions and communicate complex concepts clearly to both technical and non-technical stakeholders.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Skills And Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Proficiency in Python for AI/ML development, including experience with REST APIs and SDK integration.
  </li>
  <li>
   Hands-on experience with LLMs, RAG systems, and prompt engineering in production environments.
  </li>
  <li>
   Familiarity with multi-agent orchestration, tool use, and frameworks like LangGraph and LangChain.
  </li>
  <li>
   Deep understanding of cloud AI services (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock).
  </li>
  <li>
   Background in building and maintaining data pipelines, ontologies, metadata catalogs, and ETL processes.
  </li>
  <li>
   Strong grasp of secure coding and modern DevOps practices (CI/CD pipelines).
  </li>
  <li>
   Exceptional written and verbal communication skills for effective collaboration and documentation.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with AI/agentic platforms, such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
  </li>
  <li>
   Knowledge of metadata catalog platforms (MCP) and advanced API development techniques.
  </li>
  <li>
   Prior exposure to government or highly regulated cloud environments and compliance standards.
  </li>
 </ul>
</div>


Artificial Intelligence Engineer – Remote

The Home Depot

<div>
 Req178618
 <br/>
 <br/>
 <strong>
  Position Purpose
  <br/>
  <br/>
 </strong>
 The Software Engineer II is responsible for independently developing and assisting in the design of a product that our customers and associates love. As a Software Engineer II, you will be part of a dynamic team with engineers of all experience levels who help each other build and grow technical and leadership skills while creating, deploying, and supporting production applications. In addition, Software Engineer II may be involved in configuration, security, resilience, performance tuning and production monitoring.
 <br/>
 <br/>
 We are dedicated to pushing the boundaries of technology to create solutions that make a difference to the company. Our team is looking for a talented AI/ML developer to join us developing cutting-edge machine learning models and applications for the Company.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   60% Delivery and Execution &ndash; Collaborates and pairs with other product team members (UX, engineering, and product management) to create secure, reliable, scalable software solutions; Documents, reviews and ensures that all quality and change control standards are met; Works with Product Team to ensure user stories that are developer-ready, easy to understand, and testable; Writes custom code or scripts to automate infrastructure, monitoring services, and test cases; Writes custom code or scripts to do destructive testing to ensure adequate resiliency in production; Program configuration/modification and setup activities on large projects using HD approved methodology; Configures commercial off the shelf solutions to align with evolving business needs Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively
  </li>
  <li>
   20% Learning &ndash; Actively seeks ways to grow and be challenged using both formal and informal development channels; Learns through successful and failed experiment when tackling new problems
  </li>
  <li>
   20% Plans and Aligns &ndash; Collaborates with other team members in agile processes; Assists in creating new and better ways for the team to be successful; Relates openly and comfortably with diverse groups of people; Builds partnerships and works collaboratively with others to meet shared objectives
  </li>
  <li>
   Design and develop machine learning models and algorithms to address business challenges.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Direct Manager/Direct Reports
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   This position typically repots to Software Engineer Manager or Sr. Manager
  </li>
  <li>
   This position has 0 Direct Reports
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Travel Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   No travel required.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Physical Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Working Conditions
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Minimum Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Must be eighteen years of age or older.
  </li>
  <li>
   Must be legally permitted to work in the United States.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   1-3 years of relevant work experience
  </li>
  <li>
   Extensive experience in AI, machine learning.
  </li>
  <li>
   Strong understanding of AI use cases and their application in business contexts.
  </li>
  <li>
   Proven track record of developing AI use case from concept to launch.
  </li>
  <li>
   Strong programming skills in Golang, Python.
  </li>
  <li>
   Experience building and maintaining robust data pipelines, ETL/ELT workflows, and data ingestion processes.
  </li>
  <li>
   Solid understanding of machine learning algorithms and principles.
  </li>
  <li>
   Experience in Google Cloud Platform and AI/ML related components such as Vertex AI, BigQueryML, and AutoML
  </li>
  <li>
   Experience with data preprocessing, data ingestion and model evaluation.
  </li>
  <li>
   Strong problem-solving skills and ability to work independently and as part of a team.
  </li>
  <li>
   Experience in writing SQL queries against a relational database
  </li>
  <li>
   Experience in version control systems and collaborative development tools.
  </li>
  <li>
   Experience with cloud platforms (Azure, GCP)
  </li>
  <li>
   Experience in source code version control (e.g. Git)
  </li>
  <li>
   Experience in Relational or NoSQL database technology
  </li>
  <li>
   Experience in cloud computing techniques
  </li>
  <li>
   Experience in CI/CD tools
  </li>
  <li>
   Experience in microservice-based architecture
  </li>
  <li>
   Experience with modern debugging and root cause analysis techniques
  </li>
  <li>
   Exposure to security frameworks for user and services authorization and authentication
  </li>
  <li>
   Exposure to creating and executing unit, functional, destructive and performance tests
  </li>
  <li>
   Excellent communication skills to convey technical concepts to non-technical stakeholders.
  </li>
  <li>
   Experience in REST and effective web service design
  </li>
  <li>
   Experience in production systems design including High Availability, Disaster Recovery, Performance, Efficiency, and Security
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Minimum Education
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   The knowledge, skills and abilities typically acquired through the completion of a bachelor&rsquo;s degree program or equivalent degree in a field of study related to the job.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Minimum Years Of Work Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   2-3+ years
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Competencies
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Global Perspective
  </li>
  <li>
   Manages Ambiguity
  </li>
  <li>
   Nimble Learning
  </li>
  <li>
   Self-Development
  </li>
  <li>
   Collaborates
  </li>
  <li>
   Cultivates Innovation
  </li>
  <li>
   Situational Adaptability
  </li>
  <li>
   Communicates Effectively
  </li>
  <li>
   Drives Results
  </li>
  <li>
   Interpersonal Savvy
  </li>
 </ul>
</div>


AI/ML Developer II (Remote)

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