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associate applied data scientist

big 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

Travelers

<div>
 <strong>
  Who Are We?
  <br/>
  <br/>
 </strong>
 Taking care of our customers, our communities and each other. That&rsquo;s the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 170 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it.
 <br/>
 <br/>
 <strong>
  Compensation Overview
  <br/>
  <br/>
 </strong>
 The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards.
 <br/>
 <br/>
 <strong>
  Salary Range
  <br/>
  <br/>
 </strong>
 $109,300.00 - $180,200.00
 <br/>
 <br/>
 <strong>
  Target Openings
  <br/>
  <br/>
 </strong>
 1
 <br/>
 <br/>
 <strong>
  What Is the Opportunity?
  <br/>
  <br/>
 </strong>
 Travelers Data Engineering team constructs pipelines that contextualize and provide easy access to data by the entire enterprise. As a Data Engineer, you will play a key role in growing and transforming our analytics landscape. In addition to your strong analytical mind, you will bring your inquisitive attitude and ability to translate the stories found in data. You will leverage your ability to design, build and deploy data solutions that capture, explore, transform, and utilize data to support Artificial Intelligence, Machine Learning and business intelligence/insights. Applicants must be authorized to work for ANY employer in the U.S. The company does not sponsor/support H-1B petitions, TN, or Forms I-983/STEM OPT, for this role.
 <br/>
 <br/>
 <strong>
  What Will You Do?
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Build and operationalize complex data solutions, correct problems, apply transformations, and recommend data cleansing/quality solutions.
  </li>
  <li>
   Design data solutions.
  </li>
  <li>
   Analyze sources to determine value and recommend data to include in analytical processes.
  </li>
  <li>
   Incorporate core data management competencies including data governance, data security and data quality.
  </li>
  <li>
   Collaborate within and across teams to support delivery and educate end users on data products/analytic environment.
  </li>
  <li>
   Perform data and system analysis, assessment and resolution for defects and incidents of moderate complexity and correct as appropriate.
  </li>
  <li>
   Test data movement, transformation code, and data components.
  </li>
  <li>
   Perform other duties as assigned.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What Will Our Ideal Candidate Have?
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s Degree in STEM related field or equivalent.
  </li>
  <li>
   Six years of related experience.
  </li>
  <li>
   Hands-on experience building data pipelines using AWS Services (S3, Lambda, IAM) and Databricks.
  </li>
  <li>
   Hands-on experience programming and development experience with Python and PySpark.
  </li>
  <li>
   Experience with ETL development in data lake and data warehouse (preferably Snowflake).
  </li>
  <li>
   Experience with data streaming platforms (e.g., Confluent, Apache Kafka) is a plus
  </li>
  <li>
   Proficient use of tools, techniques, and manipulation including Cloud platforms, programming languages, and an understanding of software engineering practices.
  </li>
  <li>
   The ability to deliver work at a steady, predictable pace to achieve commitments, decompose work assignments into small batch releases, and contribute to tradeoff and negotiation discussions.
  </li>
  <li>
   Demonstrated track record of domain expertise including the ability to understand technical concepts and possess in-depth knowledge of immediate systems worked on.
  </li>
  <li>
   Proven problem solving skills including debugging skills, allowing you to determine source of issues in unfamiliar code or systems and the ability to recognize and solve repetitive problems.
  </li>
  <li>
   Strong verbal and written communication skills with the ability to interact with team members and business partners.
  </li>
  <li>
   Leadership - Intermediate leadership skills with a proven track record of self-motivation in identifying personal growth opportunities.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What is a Must Have?
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in computer science, related STEM field, or its equivalent in education and/or work experience.
  </li>
  <li>
   2 additional years of software/data engineering experience.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What Is in It for You?
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Health Insurance: Employees and their eligible family members &ndash; including spouses, domestic partners, and children &ndash; are eligible for coverage from the first day of employment.
  </li>
  <li>
   Retirement: Travelers matches your 401(k) contributions dollar-for-dollar up to your first 5% of eligible pay, subject to an annual maximum. If you have student loan debt, you can enroll in the Paying it Forward Savings Program. When you make a payment toward your student loan, Travelers will make an annual contribution into your 401(k) account. You are also eligible for a Pension Plan that is 100% funded by Travelers.
  </li>
  <li>
   Paid Time Off: Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays.
  </li>
  <li>
   Wellness Program: The Travelers wellness program is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health program provides access to free professional counseling services, health coaching and other resources to support your daily life needs.
  </li>
  <li>
   Volunteer Encouragement: We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards program that enables you to give back to the charity of your choice.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Employment Practices
  <br/>
  <br/>
 </strong>
 Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences.
 <br/>
 <br/>
 In accordance with local law, candidates seeking employment in Colorado are not required to disclose dates of attendance at or graduation from educational institutions.
 <br/>
 <br/>
 If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email so we may assist you.
 <br/>
 <br/>
 Travelers reserves the right to fill this position at a level above or below the level included in this posting.
 <br/>
 <br/>
 To learn more about our comprehensive benefit programs please visit http://careers.travelers.com/life-at-travelers/benefits/.
</div>


Data Engineer I (AWS, Databricks, PySpark)

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>
<div><div><div><h2 class="jobSectionHeader"><b>Client Location: Charlotte, NC</b></h2>
</div></div><div></div><div><div><h2 class="jobSectionHeader"><b>Job Description:</b></h2>
</div><div><p>Total years of data engineering experience 5 to 7 years with relevant GCP experience of 1years
<br>
Experience in Data Engineering ETL Pipelines Batch and Streaming along withSQL Python PySpark UnixLinux and Data Warehousing concepts
<br>
Experience in GCP native services like BigQuery Composer GCS Dataflow etc
<br>
Experience in Data Migration along with Data Quality and Data Governance
<br>
Experience of working in an Agile Scrum KANBAN Environment
<br>
Participate proactively in standup meetings scrum ceremonies grooming sessions team retrospectives and suggest improvements
<br>
Articulate and facilitate conversations with business owners and delivery teams
<br>
Detailed understanding of Continuous Integration and Continuous Deployment Test Automation and Deployments
<br>
Document and prioritize data and pipeline defects working closely with defect management teams for resolution
<br>
Status reporting Project Risk Issue Management Business stakeholder reviews approvals of deliverables'</p>
</div></div></div><p>The base compensation range for this role in the posted location is: $90000 - $96000</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>

Data Engineer

The Home Depot

<div><p><b>Position Purpose:</b></p><p>
The Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role applies industry-leading analytical methodologies for working with large datasets to extract meaningful business insight and creatively solve business problems. Data Scientists are also responsible for ensuring that developed codes are documented into a library of reusable algorithms. Based on the specific data science team, this role would need to be knowledgeable in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.</p><p><br>
As a Data Scientist, you will apply advanced analytics methods and algorithms for identifying trends and providing business solutions. This role is expected to present insights and recommendations to non-technical audiences and explain the benefits and impacts of the recommended solutions. In addition, Data Scientists collaborate with business partners and cross-functional teams, requiring effective communication skills, building relationships, and focus on understanding the overall business area being supported.</p><p></p><p><b>
This role is based on‑site and requires full‑time, five‑day‑a‑week presence in the office.</b></p><p><b><br>
Key Responsibilities:</b></p><ul><li><p>
55% Solution Development - Design and develop algorithms and models to use against large datasets to create business insights; Participates in large data analytics project teams by serving as a technical lead for analytics projects; May lead small projects and work independently on solution development; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies</p></li><li><p>
20% Communicating Results - Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Present recommendations in a confident manner in order to influence execution of recommendation; Prepare reports, updates and/or presentations related to progress made on a project or solution; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation</p></li><li><p>
10% Business Collaboration - Incorporate business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Work with project teams and business partners to determine project goals</p></li><li><p>
15% Technical Exploration &amp; Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Build and maintain library of reusable algorithms for future use, ensuring developed codes are documented</p></li></ul><p><b><br>
Direct Manager/Direct Reports:</b></p><ul><li><p>
This position typically reports to Manager or above</p></li><li><p>
This position has 0 Direct Reports</p></li></ul><p><b><br>
Travel Requirements:</b></p><ul><li><p>
Typically requires overnight travel less than 10% of the time.</p></li></ul><p><b><br>
Physical Requirements:</b></p><ul><li><p>
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.</p></li></ul><p><b><br>
Working Conditions:</b></p><ul><li><p>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</p></li></ul><p><b><br>
Minimum Qualifications:</b></p><ul><li><p>
Must be eighteen years of age or older.</p></li><li><p>
Must be legally permitted to work in the United States.</p></li></ul><p><b><br>
Preferred Qualifications:</b></p><ul><li><p>
Masters in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience</p></li><li><p>
4+ years of experience in business intelligence, advanced analytics, and/or AI/ML fields.</p></li><li><p>
Experience designing, building, and maintaining scalable data pipelines to support ingestion, processing, and transformation from multiple sources (e.g., databases, APIs, streaming).</p></li><li><p>
Experience in a modern scripting language (preferably Python)</p></li><li><p>
Proficient in Data querying (SQL/BQ) and visualization (preferably tableau)</p></li><li><p>
Proficient utilizing statistical techniques to identify key insights that help solve business problems</p></li><li><p>
Knowledgeable in Prescriptive Modeling like optimization, computer vision, recommendation, search, or traditional NLP is a plus.</p></li><li><p>
Familiarity or hands-on experience in designing, developing, and deploying autonomous AI agents or multi-agent systems using modern LLM orchestration frameworks.</p></li><li><p>
Experience with Retrieval-Augmented Generation (RAG) architectures, prompt engineering, and enabling LLMs with tool/function calling capabilities to interact with external APIs and databases.</p></li><li><p>
Understanding of evaluating, testing, and monitoring generative AI models and agents in production environments to ensure reliability, safety, and performance.</p></li><li><p>
Demonstrated experience in predictive modeling, data mining and data analysis</p></li></ul><p><b><br>
Minimum Education:</b></p><ul><li><p>
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</p></li></ul><p><b><br>
Preferred Education:</b></p><ul><li><p>
No additional education</p></li></ul><p><b><br>
Minimum Years of Work Experience:</b></p><ul><li><p>
3</p></li></ul><p><b><br>
Preferred Years of Work Experience:</b></p><ul><li><p>
No additional years of experience</p></li></ul><p><b><br>
Minimum Leadership Experience:</b></p><ul><li><p>
None</p></li></ul><p><b><br>
Preferred Leadership Experience:</b></p><ul><li><p>
None</p></li></ul><p><b><br>
Certifications:</b></p><ul><li><p>
None</p></li></ul><p><b><br>
Competencies:</b></p><ul><li><p>
Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm</p></li><li><p>
Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals</p></li><li><p>
Collaborates: Building partnerships and working collaboratively with others to meet shared objectives</p></li><li><p>
Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences</p></li><li><p>
Customer Focus: Building strong customer relationships and delivering customer-centric solutions</p></li><li><p>
Drives Results: Consistently achieving results, even under tough circumstances</p></li><li><p>
Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder</p></li><li><p>
Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement</p></li><li><p>
Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals</p></li><li><p>
Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels</p></li></ul></div><p></p>

Data Scientist - Pro

Log-hub AG

<p>At Log-hub, we develop innovative and tailored data, analytics, and AI solutions within the supply chain and logistics niche. This empowers our customers to get more out of their data, creates transparency, and provides intelligent and modern decision support.</p><p>We are a company with flat hierarchies, creative minds, and innovative technologies! Everyone contributes and becomes an expert with us. Knowledge exchange and mutual support are key factors to our success. We&rsquo;re ONE Team with the motto HAVE FUN!</p><p>Are you about to successfully complete your studies or have you already graduated and are looking for the perfect start to your career? Then we look forward to receiving your application.</p><p>Your Challenges</p><ul><li>Together with the customer, you will define the requirements for the data projects.</li><li>You will specify the technical aspects and implement data pipelines with modern technologies (Azure Cloud, Google Cloud, AWS, KNIME, etc.).</li><li>You will develop tailor-made solutions with intelligent algorithms for large datasets, from designing the architecture to visualizing results in meaningful dashboards.</li><li>You will design and implement simulation and what-if models to assess and support complex supply chain and logistics decisions based on data (digital-twin).</li><li>You will be part of a mixed team (Log-hub &amp; customer) and act as a link and translator between business units, IT, and solution development.</li><li>You enjoy tackling tactical and strategic supply chain &amp; logistics challenges &ndash; customized demand forecasting, automated route optimization, network design analyses, changing production sites based on the BOM, etc.</li></ul><p>What you bring</p><ul><li>A completed degree (Computer Science, Business Informatics, Industrial Engineering, Mathematics, Physics, or similar) and a passion for quickly getting to grips with new topics.</li><li>Initial experience in data engineering/analytics, e.g., through an internship or trainee program.</li><li>Passion for innovative technologies, methods, and topics such as data engineering, analytics, machine learning, AI, big data, simulations, cloud platforms, and agile working methods (e.g., Scrum).</li><li>Initial experience with data technologies is an advantage, e.g., Microsoft Azure Synapse/Fabric, Databricks/Spark, Snowflake, Google BigLake, AWS Lake Formation, etc.</li><li>A team player with strong communication skills who shares expertise with others</li><li>Professional demeanour and fluency in English.</li></ul><p>Our benefits for you</p><ul><li>An opportunity to shape Log-hub in America with your ideas, insights, and entrepreneurial spirit.</li><li>Development + Perspective: Individual training and development opportunities based on your career aspirations, as well as the chance to take on responsibility quickly.</li><li>BYOD allowance for workspace design according to your individual needs.</li><li>Guaranteed variety: Different clients, topics, methods, and technologies - working as a Data &amp; Analytics Engineer will never be boring.</li></ul><p>Do you have a strong technical affinity and enjoy engaging with customers and providing consultancy? Do you appreciate hands-on technical work? If so, Log-hub is exactly the right company for you!</p><p>Application Question(s):</p><ul><li>How would you rate your English language proficiency (Basic / Intermediate / Advanced / Fluent)?</li><li>Do you hold a bachelor&rsquo;s degree?</li><li>Are you legally authorized to work in the United States?</li></ul><p>Work Location: Hybrid remote in Atlanta, GA 30332</p>

Data & Analytics Engineer (m/f/d)

Explore 272+ Big data engineer in Atlanta this May. Find roles across top companies and apply now to boost your career.