lead data engineer

Kenvue

<div><div><div><div><div><div><div><div><p>Kenvue is currently recruiting for a:</p></div></div></div></div></div></div></div>
Lead Data Engineer<p></p><p><b>
What we do</b></p><p>
At Kenvue, we realize the extraordinary power of everyday care. Built on over a century of heritage and rooted in science, we&rsquo;re the house of iconic brands - including NEUTROGENA&reg;, AVEENO&reg;, TYLENOL&reg;, LISTERINE&reg;, JOHNSON&rsquo;S&reg; and BAND-AID&reg; that you already know and love. Science is our passion; care is our talent.</p><p></p><p><b>
Who We Are</b></p><p>
Our global team is ~ 22,000 brilliant people with a workplace culture where every voice matters, and every contribution is appreciated. We are passionate about insights, innovation and committed to delivering the best products to our customers. With expertise and empathy, being a Kenvuer means having the power to impact millions of people every day. We put people first, care fiercely, earn trust with science and solve with courage &ndash; and have brilliant opportunities waiting for you! Join us in shaping our future&ndash;and yours.</p><p></p><p><b>
Role reports to:</b></p>
Data Engineering Manager<p></p><p><b>
Location:</b></p>
Asia Pacific, India, Karnataka, Bangalore<p></p><p><b>
Work Location:</b></p>
Hybrid<p></p><p><b>
What you will do</b></p><p>
As a Lead Data Engineer, you will Lead a team responsible for the build,enhancements, and optimization of modern data solutions and analytical products across the Azure Data Platform. You&rsquo;ll design and manage robust data pipelines (Azure Data Factory, Azure Databricks, Data Lake, Spark.,SQL, Posgres) You will collaborate closely with business stakeholders, data engineers, and data scientists to maintain reliable, secure, and scalable data products that drive decision-making&mdash;particularly within Supply Chain and CPG contexts.</p><p></p><p><b>
Key Responsibilities:</b></p><p></p><p><br>
Data Engineering &amp; Platform Operations</p><ul><li>Design\Architect, develop, customize, and manage data integration tools, data lakes, warehouses, and analytical systems on Azure.</li><li>Build, scale, and harden data pipelines (internal &amp; external sources) using Azure Data Factory, Azure Databricks (PySpark/Spark SQL), Azure Data Lake, Azure Synapse, and Azure SQL\Posgres</li><li>Good understanding of different tools like Microsoft Fabric, Graph databases (Neo4J)</li></ul><ul><li><p>
Deploy data pipelines into production environments by enriching the model with data stored in a Data Lakes or coming directly from data sources, configuring data attributes, managing computing resources, setting up monitoring tools, etc.</p></li><li><p>
Mentor and Build a Data Engineering Support team composed of Data Engineering Resources</p></li></ul><ul><li>Own automation, observability, and monitoring frameworks&mdash;capturing operational KPIs and data quality metrics; set up alerting and runbooks.</li><li>Monitor performance &amp; stability, triage incidents, and adapt pipelines as data/models/requirements evolve.</li><li>Implement best practices for systems integration, security (RBAC, Key Vault, RLS/OLS), performance, cost optimization, and data governance.</li></ul><ul><li><p>
Work with the Data Asset and Capability teams to identify the right data sources and understand and build and support the data architectures for optimal data extraction and transformation for key business processes.</p></li><li><p>
Test the reliability and performance of data engineering pipelines and support testing team with data validation activities</p></li><li><p>
Partner with various Azure Engineering subject matter experts including project Managers and business team to scope and build customer facing content, modules, tools and proof of concepts</p></li><li><p>
Research and cultivate in state-of-the-art data engineering methodologies, drive product innovation, and act as an Azure subject matter expert for other engineers</p></li><li>Apply DevOps/DataOps/Agile methodologies; manage version control (Git/Bitbucket) and CI/CD pipelines (Azure DevOps/Jenkins) for data and BI assets.</li></ul><p><b>
Required Qualifications</b></p><ul><li>Bachelor&rsquo;s degree in Engineering, Computer Science, Data Analytics, IT, or related field.</li><li>6-8 years of relevant experience across Azure Data Engineering and Power BI.</li><li>Hands-on expertise with:</li></ul><p>
o Azure Databricks (PySpark/Spark SQL)\Microsoft Fabric, Azure Data Factory, Azure Data Lake, Azure Synapse, Azure SQL\Posgres</p><p>
o Data modelling, Performance Tuning</p><p>
o SQL/T-SQL (complex queries, stored procedures)</p><ul><li><p>
Experience of leading a Data Engineering team</p></li><li><p>
Good scripting, data modeling and programming skills</p></li><li><p>
Understanding of cloud architecture principles and best practices</p></li><li><p>
Experience in the design and build of end-to-end solutions that meet business requirements and adhere to scalability, reliability, and security standards</p></li><li><p>
Familiarity with version control systems like Bitbucket, Jenkins and DevOps practices for CI/CD pipelines</p></li></ul><p></p><p><b><br>
Desired Qualifications</b></p><ul><li>Certifications:</li></ul><p>
o Microsoft Certified: Azure Data Engineer Associate (DP-203)</p><p>
o Databricks Data Engineer Associate/Professional</p><ul><li><p>
Familiarity with version control systems like Bitbucket, Jenkins and DevOps practices for CI/CD pipelines</p></li></ul><ul><li>Experience with migration &amp; modernization (from legacy ETL/BI to Azure-native).</li><li>Preferred CPG/Supply Chain domain expertise.</li><li><p>
Familiarity with version control systems like Bitbucket, Jenkins and DevOps practices for CI/CD pipelines</p></li></ul><p></p><p>
If you are an individual with a disability, please check our Disability Assistance page for information on how to request an accommodation.</p></div>

Lead Data Engineer

IQZ SYSTEMS

<div><div><div><div><b>Job Description</b></div><div><div><p><b>
Job Overview</b></p>
<p>
We are seeking an experienced Lead Data Engineer to architect, design, and lead the development of our enterprise data infrastructure. The ideal candidate will have strong technical leadership skills, deep expertise in data engineering technologies, and experience managing data engineering teams across the globe.</p>
<p><b>
Key Responsibilities</b></p>
<p><b>
Technical Leadership</b></p>
<ul>
<li><b>Architecture Design:</b> Design and implement scalable, robust data architectures for enterprise-level data processing</li>
<li><b>Data Pipeline Leadership:</b> Lead the development of complex ETL/ELT pipelines processing terabytes of data</li>
<li><b>Technology Strategy:</b> Evaluate and recommend cutting-edge data technologies and tools</li>
<li><b>Performance Optimization:</b> Optimize data processing performance and implement best practices</li>
<li><b>Data Quality:</b> Establish and maintain data quality standards and governance framework.</li>
</ul>
<p><b>Team Management</b></p>
<ul>
<li><b>Team Leadership:</b> Lead and mentor a team of 3-5 Data Engineers</li>
<li><b>Code Reviews:</b> Conduct thorough code reviews and establish coding standards</li>
<li><b>Technical Mentoring:</b> Guide junior engineers in advanced data engineering concepts</li>
<li><b>Project Management:</b> Manage multiple data engineering projects simultaneously</li>
<li><b>Stakeholder Communication:</b> Collaborate with product managers, analysts, and business stakeholders</li>
</ul>
<p><b>Data Infrastructure</b></p>
<ul>
<li><b>Cloud Architecture:</b> Design and implement cloud-native data solutions (AWS/Azure/GCP)</li>
<li><b>Big Data Processing:</b> Lead implementation of distributed computing frameworks (Spark, Hadoop)</li>
<li><b>Real-time Systems:</b> Architect streaming data pipelines using Kafka, Flink, or similar</li>
<li><b>Data Warehousing:</b> Design and optimize data warehouses and data lakes</li>
</ul>
<p><b>Technical Requirements</b></p>
<p><b>
Core Skills (Must Have)</b></p>
<ul>
<li><b>Experience:</b> 5-8 years in data engineering with 2+ team leader role</li>
<li><b>Programming:</b> Proficient in level Python, Spark and equivalent programming with experience in data engineering libraries</li>
<li><b>SQL Mastery:</b> Advanced SQL skills with experience in PostgreSQL, MySQL, SQL Server, Oracle</li>
<li><b>Cloud Platforms:</b> Deep experience with Databricks, Snowflake, AWS, Azure, or Google Cloud Platform</li>
<li><b>ETL/ELT:</b> Expert in designing and implementing complex data pipelines</li>
<li><b>Big Data:</b> Strong experience with Apache Spark, Hadoop ecosystem</li>
<li><b>Version Control:</b> Advanced Git workflows and CI/CD practices</li>
</ul>
<p><b>Advanced Skills (Highly Preferred)</b></p>
<ul>
<li><b>Streaming:</b> Experience with Apache Kafka, Apache Flink, or similar streaming platforms</li>
<li><b>Orchestration:</b> Apache Airflow, Prefect, or similar workflow orchestration tools</li>
<li><b>Containerization:</b> Docker, Kubernetes for data engineering workloads</li>
<li><b>Monitoring:</b> Data pipeline monitoring and observability tools</li>
<li><b>Data Modeling:</b> Advanced data modeling techniques (Star Schema, Data Vault, etc.)</li>
<li><b>Data Governance:</b> Good understanding on Data Governance and Security implementation on Data Solutions.</li>
</ul>
<p><b>Leadership Skills</b></p>
<ul>
<li><b>Team Management:</b> Proven experience leading data engineering teams</li>
<li><b>Technical Communication:</b> Ability to explain complex technical concepts to non-technical stakeholders</li>
<li><b>Project Management:</b> Experience managing multiple concurrent projects</li>
<li><b>Mentoring:</b> Strong mentoring and coaching abilities</li>
<li><b>Problem Solving:</b> Advanced troubleshooting and problem-solving skills</li></ul></div></div></div><p></p><div><div><div><b><br>
Think you are apt for this role?</b></div></div></div></div></div><p></p>

Indeed

<p>Our Mission<br/></p><p>As the world&rsquo;s number 1 job site*, our mission is to help people get jobs. We strive to cultivate an inclusive and accessible workplace where all people feel comfortable being themselves. We're looking to grow our teams with more people who share our enthusiasm for innovation and creating the best experience for job seekers.<br/></p><p>(*Comscore, Total Visits, March 2025)<br/></p><p>Day to Day<br/></p><p>Design and develop big data applications using a variety of different technologies. Develop logical and physical data models for big data platforms. Automate workflows using workflow managers like Airflow and Dagster. Write data pipelines using big data technologies like Hive, Spark, Snowflake, Kafka and other recent big data technologies. Create solutions on AWS using services such as Lambda, API Gateway and Kinesis. Participate in rotational on-call support. Empower the business to make informed decisions by gathering, analyzing and publishing large amounts of engineering data. Provide ongoing maintenance and enhancements to existing systems. Learn our business domain and technology infrastructure quickly. Document, share knowledge freely and proactively while collaborating with cross-functional team members.<br/></p><p>Responsibilities<br/></p><p>Minimum Job Requirements:<br/></p><p>Master&rsquo;s Degree or foreign degree equivalent in Computer Science, Management Information Systems, Business Analytics, Data intelligence or related field.<br/>Two (2) years of experience in the job offered or in a Lead Data Engineer-related occupation.<br/>Position requires 2 years of experience in the following:<br/>1. BigData Technologies like Hadoop, Hive, Spark, SQL, Snowflake, or Databricks platform;<br/>2. Build and Orchestrate Big Data Applications and Data Pipelines to process large amounts of data;<br/>3. Cloud Computing Platforms like AWS or Azure;<br/>4. Object-Oriented Design and programming languages such as Python; and<br/>5. Building logical and physical data models for big data platforms.<br/></p><p>Multiple positions available.<br/></p><p>Salary Range Transparency<br/></p><p>Salary Range: $151,000 to $227,700 per year.<br/></p><p>Salary Range Disclaimer<br/></p><p>The base salary range represents the low and high end of the Indeed salary range for this position in the given work location. Actual salaries will vary depending on factors including but not limited to location, experience, and performance. The range(s) listed is just one component of Indeed's total compensation package for employees. Other rewards may include quarterly bonuses, Restricted Stock Units (RSUs), a Paid Time Off policy, and many region-specific benefits.<br/></p><p>Benefits - Health, Work/Life Harmony, &amp; Wellbeing<br/></p><p>We care about what you care about. We have a multitude of benefits to support Indeedians, as well as their pets, kids, and partners including medical, dental, vision, disability and life insurance. Indeedians are able to enroll in our company&rsquo;s 401k plan, as well as an equity-based incentive program. Indeedians will also receive open paid time off, 12 paid holidays a year and up to 26 weeks of paid parental leave. For more information, select your country and learn more about our employee benefits, program, &amp; perks at https://www.indeed.com/careers/benefits!<br/></p><p>Equal Opportunities and Accommodations Statement<br/></p><p>Indeed is deeply committed to building a workplace and global community where inclusion is not only valued, but prioritized. We&rsquo;re proud to be an Equal Employment and Affirmative Action employer seeking to create a welcoming and inclusive environment. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran, or any other non-merit based or legally protected grounds.<br/></p><p>Indeed is dedicated to providing reasonable accommodations to qualified individuals with known disabilities to participate in the employment application process. To learn more about requesting an accommodation, please visit https://www.indeed.com/careers/accommodations. In the request for an accommodation, please inform us of the nature of your request and your contact information. If you are requesting accommodation for an interview, please reach out at least one week in advance of your interview.<br/></p><p>For more information about our commitment to equal opportunity/affirmative action, please visit our ESG home page (https://www.indeed.com/esg?co=US).<br/></p><p>Inclusion &amp; Belonging<br/></p><p>Inclusion and belonging are fundamental to our hiring practices and company culture, forming an integral part of our vision for a better world of work. At Indeed, we&rsquo;re committed to the wellbeing of our employees and on a mission to make this the best place to work and thrive. We believe that fostering an inclusive environment where every employee feels respected and accepted benefits everyone, fueling innovation and creativity.<br/></p><p>We value diverse experiences, including those who have had prior contact with the criminal legal system. We are committed to providing individuals with criminal records, including formerly incarcerated individuals, a fair chance at employment.<br/></p><p>Indeed&rsquo;s Employee Recruiting Privacy Policy<br/></p><p>Like other employers Indeed uses our own technologies to help us find and attract top talent from around the world. In addition to our site&rsquo;s user and privacy policy found at https://www.indeed.com/legal, we also want to make you aware of our recruitment specific privacy policy found at https://www.indeed.com/legal/indeed-jobs.<br/></p><p>Agency Disclaimer<br/></p><p>Indeed does not pay placement fees for unsolicited resumes or referrals from non-candidates, including search firms, staffing agencies, professional recruiters, fee-based referral services, and recruiting agencies (each individually, an &quot;Agency&quot;), subject to local laws. An Agency seeking a placement fee must obtain advance written approval from Indeed's internal Talent Acquisition team and execute a fee agreement with Indeed for each job opening before making a referral or submitting a resume for that opening.<br/></p><p>Reference ID: 46630<br/></p><p>The deadline to apply to this position is March 31st, 2026.<br/></p><p>#IND123<br/></p><p>Reference ID: 46630<br/></p><p>Work Location: Remote<br/></p>

Information Technology Senior Management Forum

<div><div><p>Posted Date</p>
<p>2/23/2026</p>
</div><div><p>Description</p>
<div>Senior Lead Data Engineer<p>
Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking <b>Data Engineers</b><b> </b>who are passionate about marrying data with emerging technologies. As a Capital One Senior Lead Data Engineer, you&rsquo;ll have the opportunity to be on the forefront of driving a major transformation within Capital One.</p><p><b>
What You&rsquo;ll Do:</b></p><ul><li>
Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies</li><li>
Lead a team of developers with deep experience in machine learning, distributed microservices, and full stack systems</li><li>
Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake</li><li>
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal &amp; external technology communities, and mentoring other members of the engineering community</li><li>
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment</li><li>
Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance</li></ul><p><b>
Basic Qualifications:</b></p><ul><li>
Bachelor&rsquo;s Degree</li><li>
At least 6 years of experience in application development (Internship experience does not apply)</li><li>
At least 2 years of experience in big data technologies</li><li>
At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)</li></ul><p><b>
Preferred Qualifications:</b></p><ul><li>
Master's Degree</li><li>
9+ years of experience in application development including Python, SQL, Scala, or Java</li><li>
4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)</li><li>
5+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)</li><li>
4+ year experience working on real-time data and streaming applications</li><li>
4+ years of experience with NoSQL implementation (Mongo, Cassandra)</li><li>
4+ years of data warehousing experience (Redshift or Snowflake)</li><li>
4+ years of experience with UNIX/Linux including basic commands and shell scripting</li><li>
2+ years of experience with Agile engineering practices</li></ul><p><b><i>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.</i></b></p><p>
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.</p>
McLean, VA: $229,900 - $262,400 for Sr. Lead Data Engineer<p></p><p><br>
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.</p>
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.<p>
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.</p>
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.<p>
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.</p><p>
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com</p><p>
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.</p><p>
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</p>
Senior Lead Data Engineer<p>
Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking <b>Data Engineers</b><b> </b>who are passionate about marrying data with emerging technologies. As a Capital One Senior Lead Data Engineer, you&rsquo;ll have the opportunity to be on the forefront of driving a major transformation within Capital One.</p><p><b>
What You&rsquo;ll Do:</b></p><ul><li>
Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies</li><li>
Lead a team of developers with deep experience in machine learning, distributed microservices, and full stack systems</li><li>
Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake</li><li>
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal &amp; external technology communities, and mentoring other members of the engineering community</li><li>
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment</li><li>
Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance</li></ul><p><b>
Basic Qualifications:</b></p><ul><li>
Bachelor&rsquo;s Degree</li><li>
At least 6 years of experience in application development (Internship experience does not apply)</li><li>
At least 2 years of experience in big data technologies</li><li>
At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)</li></ul><p><b>
Preferred Qualifications:</b></p><ul><li>
Master's Degree</li><li>
9+ years of experience in application development including Python, SQL, Scala, or Java</li><li>
4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)</li><li>
5+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)</li><li>
4+ year experience working on real-time data and streaming applications</li><li>
4+ years of experience with NoSQL implementation (Mongo, Cassandra)</li><li>
4+ years of data warehousing experience (Redshift or Snowflake)</li><li>
4+ years of experience with UNIX/Linux including basic commands and shell scripting</li><li>
2+ years of experience with Agile engineering practices</li></ul><p><b><i>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.</i></b></p><p>
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.</p>
McLean, VA: $229,900 - $262,400 for Sr. Lead Data Engineer<p></p><p><br>
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.</p>
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.<p>
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.</p>
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.<p>
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.</p><p>
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com</p><p>
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.</p><p>
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</p></div>
</div><div><p>Salary</p><p>
229,900.00 - 262,400.00 Annual</p>
</div><div></div><div><div><p>Type</p><div><p>
Full-time</p></div></div></div></div>

Senior Lead Data Engineer

Northern Trust Corp.

<div><div>About Northern Trust:</div><div></div><div>
Northern Trust, a Fortune 500 company, is a globally recognized, award-winning financial institution that has been in continuous operation since 1889.</div><div></div><div>
Northern Trust is proud to provide innovative financial services and guidance to the world&rsquo;s most successful individuals, families, and institutions by remaining true to our enduring principles of service, expertise, and integrity. With more than 130 years of financial experience and over 22,000 partners, we serve the world&rsquo;s most sophisticated clients using leading technology and exceptional service.</div><div></div><div>
Sr Lead Data Engineer</div><div></div><div>
Key skills required for the role:</div><ul><li>
Expertise in designing data driven solution on Snowflake for complex business needs.</li><li>
Investment Management or Asset Management experience recommended.</li><li>
Design the database, data models, ETL processes, and data warehouse applications through the use of best practices, tools and patterns.</li><li>
Expert level understanding of relational database concepts, dimensional database concepts and database architecture and design, ontology and taxonomy design.</li><li>
Bachelor&rsquo;s degree in Engineering, Economics, Business or Finance or equivalent experience.</li><li>
Intellectual curiosity, inclination for independent and self-directed work, and attention to detail.</li><li>
Professional experience driving change, transformation, and process improvement initiatives.</li><li>
Manage relationships with stakeholders and executive leadership to achieve business outcomes</li><li>
Understanding of data security, cyber-security and PII management</li><li>
Deep understanding of relational and NoSQL data stores, methods and approaches.</li><li>
Advanced data analytics using ML, AI and GenAI</li></ul><div></div><div>
Roles and Responsibilities:</div><ul><li>
Manage relationships with all stakeholders, with a focus on setting expectations and maintaining ongoing client satisfaction through effective project management and a strong commitment to customer service.</li><li>
Evangelize data strategist working through design, documentation, review and cross team negotiations to support strategic business and technology goals.</li><li>
Displays thought leadership in pursuit of modern architecture principals and technology</li><li>
Leads technology proof of concepts to ensure feasibility of architecture solutions.</li><li>
Provides architecture direction for engineers in support of a technical pattern.</li><li>
Drives continuous technology transformation to minimize technical debt. Continuously improve efficiency and effectiveness of the architecture.</li><li>
Looks for opportunities to capitalize on technology advances through analysis of key industry and technology trends to assess potential impact on the enterprise.</li><li>
Participates in defining target state technology architecture and roadmaps. Ensures alignment of IT initiatives with the target state.</li><li>
Contribute to a fast-paced Agile team and participate in multiple aspects of planning, documentation, execution, testing and launch of projects</li><li>
Interface with global teams to collaborative work on business deliveries.</li><li>
Strong grasp of value creation and business capability models for large scale technology platforms.</li></ul><div></div><div>
Experience :</div><ul><li>
Bachelor&rsquo;s degree in Computer Science or a related discipline is required.</li><li>
Seasoned expert with technical and business knowledge and functional expertise that has been developed over several years.</li><li>
Experience in systems analysis and application program development.</li><li>
Experience with project feasibility, definition requirements, design and/or project leadership.</li><li>
Experience with various technical programming languages, and phase report studies is required.</li></ul><div></div><div>
Salary Range:</div>
$114,500 - 194,700 USD<div></div><div><i>
Salary range is a good faith estimate of base pay. Northern Trust provides a comprehensive benefits package including retirement benefits (401k and pension), health and welfare benefits (medical, dental, vision, spending accounts and disability), paid time off, parental and caregiver leave, life &amp; accident insurance, and other voluntary and well-being benefits. Northern Trust also provides a discretionary bonus program that may include an equity component.</i></div><div></div><div>
Working with Us:</div><div></div><div>
As a Northern Trust partner, greater achievements await. You will be part of a flexible and collaborative work culture in an organization where financial strength and stability is an asset that emboldens us to explore new ideas.</div><div></div><div>
Movement within the organization is encouraged, senior leaders are accessible, and you can take pride in working for a company committed to assisting the communities we serve! Join a workplace with a greater purpose.</div><div></div><div>
We&rsquo;d love to learn more about how your interests and experience could be a fit with one of the world&rsquo;s most admired and sustainable companies! Build your career with us and apply today. #MadeForGreater</div><div></div><div>
Reasonable accommodation</div><div></div><div><br>
Northern Trust is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for any part of the employment process, please email our HR Service Center at <div>MyHRHelp@ntrs.com</div>.</div><div><br>
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We hope you&rsquo;re excited about the role and the opportunity to work with us. We value an inclusive workplace and understand flexibility means different things to different people.</div><div></div><div>
Apply today and talk to us about your flexible working requirements and together we can achieve greater.</div></div>

Sr Lead Data Engineer

Confiz

<div><p>We are seeking a Data Engineer with 7+ years of hands-on experience and a strong background in real-time and batch data processing, containerization, and cloud-based data orchestration. This role is ideal for someone passionate about building robust, scalable, and efficient data pipelines, and who thrives in agile, collaborative environments.</p>
<p><b>Key Responsibilities</b></p>
<ul><li>Design, build, and maintain real-time data pipelines using streaming frameworks such as Kafka, Apache Flink, and Spark Structured Streaming.</li>
<li>Develop batch processing workflows with Apache Spark (PySpark)</li>
<li>Orchestrate and schedule data workflows using orchestration frameworks such as Apache Airflow and Azure Data Factory</li>
<li>Containerize applications using Docker, manage deployments with Helm, and run them on Kubernetes</li>
<li>Implement modern storage solutions using open formats such as Parquet, Delta Lake, and Apache Iceberg</li>
<li>Build high-performance analytics engines using tools like Trino or Presto</li>
<li>Collaborate with DevOps to manage infrastructure with Terraform and integrate with CI/CD pipelines via Azure DevOps</li>
<li>Ensure data quality and consistency using tools like Great Expectations</li>
<li>Write modular, well-tested, and maintainable Python and SQL code</li>
<li>Develop an observability layer to monitor and optimize performance across data pipelines</li>
<li>Lead and mentor a team of data engineers</li>
<li>Participate in agile ceremonies and contribute to sprint planning and reviews</li>
</ul>
<p><b>Required Skills &amp; Experience</b></p>
<ul><li>Advanced Python programming with a strong focus on modular and testable code</li>
<li>Strong knowledge of SQL and experience working with large-scale datasets</li>
<li>Hands-on experience with at least one major cloud platform (Azure preferred)</li>
<li>Solid experience with real-time data processing (Kafka, Flink, or Spark Streaming)</li>
<li>Expertise in Apache Spark (PySpark) for batch processing</li>
<li>Experience implementing lakehouse architectures and working with columnar storage (e.g., ClickHouse)</li>
<li>Proficient in using Azure Data Factory or Apache Airflow for data orchestration</li>
<li>Experience in building APIs to expose large datasets</li>
<li>Solid experience with Docker, Kubernetes, and Helm</li>
<li>Familiarity with data lake open formats such as Parquet, Delta Lake, and Iceberg</li>
<li>Basic experience with Terraform for infrastructure provisioning</li>
<li>Practical experience with data quality frameworks (e.g., Great Expectations)</li>
<li>Comfortable working in agile development teams</li>
<li>Proven ability in debugging and performance tuning of streaming and batch data jobs</li>
<li>Experience with AI-driven tools (e.g., text-to-SQL) is a plus</li>
<li>Bachelor&rsquo;s degree in computer science or related discipline</li>
</ul>
<p>We have an amazing team of 700+ individuals working on highly innovative enterprise projects &amp; products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast-growth fintech, and multiple Silicon Valley startups.</p>
<p>What makes Confiz stand out is our focus on processes and culture. Confiz is <b>ISO 9001:2015</b> (QMS), <b>ISO 27001:2022</b> (ISMS), <b>ISO 20000-1:2018</b> (ITSM), <b>ISO 14001:2015</b> (EMS), <b>ISO 45001:2018 </b>(OHSMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun.</p>
<p>People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves.</p>
<p>To know more about Confiz Limited, visit: https://www.linkedin.com/company/confiz-pakistan/</p></div><p></p>

Providence Global Center

<p></p><div><div><div><p><b>About Providence</b></p>
<p>Providence, one of the US&rsquo;s largest not-for-profit healthcare systems, is committed to high quality, compassionate healthcare for all. Driven by the belief that health is a human right and the vision, &lsquo;Health for a better world&rsquo;, Providence and its 121,000 caregivers strive to provide everyone access to affordable quality care and services.</p>
<p>Providence has a network of 51 hospitals, 1,000+ care clinics, senior services, supportive housing, and other health and educational services in the US.</p>
<p>Providence India is bringing to fruition the transformational shift of the healthcare ecosystem to Health 2.0. The India center will have focused efforts around healthcare technology and innovation, and play a vital role in driving digital transformation of health systems for improved patient outcomes and experiences, caregiver efficiency, and running the business of Providence at scale.</p><br>
<p><br>
<b>Why Us?</b></p>
<ul><li>Best In-class Benefits</li>
<li>Inclusive Leadership</li>
<li>Reimagining Healthcare</li>
<li>Competitive Pay</li>
<li>Supportive Reporting Relation</li>
</ul>
</div></div><div><div><div><div><div><b>Job Title &ndash; Senior </b><b>Data Engineer</b></div><br>
<div></div>
<div><b>
Overview of Providence:</b></div>
<div>
At Providence, we use our voice to advocate for vulnerable populations and needed reforms in health care. We pursue innovative ways to transform health care by keeping people healthy, and making our services more convenient, accessible and</div>
<div>
affordable for all. In an increasingly uncertain world, we are committed to high-quality, compassionate health care for everyone&mdash;regardless of coverage or ability to pay. We help people and communities&rsquo; benefit from the best health care model for the future&mdash;today.</div><br>
<div></div>
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Together, our 119,000-plus caregivers/employees serve in 51 hospitals, more than 1000 clinics and a comprehensive range of health and social services across Alaska, California, Montana, New Mexico, Oregon, Texas and Washington in United States.</div><br>
<div></div>
<div>
Providence Information Service (commonly known as Information technology) is aimed to digitally enable our vision of Health for a better world. We make use of multiple technologies spread across Microsoft, Oracle, JAVA, Python and many new open sources.</div><br>
<div></div>
<div>
Providence Global Center recently launched in Hyderabad, India as Global Capability Center for Providence looking to leverage the India talent to help meet our global vision and scale our Information Services and products to the world of Cloud.</div><br>
<div></div>
<div><b>
About Healthcare Intelligence</b></div><br>
<div></div>
<div>
Healthcare Intelligence is the pillar that focuses on creating intelligent data products within Providence and provides unique opportunities in Data Engineering, Operations, Data Science, BI Reporting and Data Analytics on cloud stack. We are a group of data professionals who work towards enabling decisions that improve patient and caregiver experience.</div><br>
<div></div>
<div><b>
About the role</b></div>
<div>
A Data Engineer is responsible for designing and modelling Data lake solutions/data ingestion pipelines by collaborating with our customers and understanding requirements on digital transformation. Able to navigate through ambiguous situations, to deal with aggressively changing environment. The drive to collaborate, gather feedback, solve problems, and tackle challenges through test and learn is highly valuable in this position. Should work closely with Software Engineers, Data Scientists, Azure &amp; Network Administrator teams to build a scalable &amp; compliant data system and production-ready ML pipelines. Work with different stakeholders as SME for Data Engineering, providing guidance on<b> </b>data readiness for AI initiatives and architectural support for Azure-native AI services.</div><br>
<div></div>
<div><b>
Responsibilities</b></div>
<ul>
<li>Be the owner for data engineering solutions within Healthcare Intelligence. Ensure the continuity of data processes and the associated batch jobs.</li>
<li>Partner with leadership, engineers, program managers, data analysts and scientists to understand data needs.</li>
<li>Identify, design and implement/coordinate implementation of scalable processes and infrastructure to have good governance of automated data processes.</li>
<li>Manage the end-to-end data solutions of our customers: from raw data analysis to data flow and predictive framework configurations.</li>
<li>Manage performance, capacity, availability, security and compliance of data platform and data solutions.</li>
<li>Should be able to work on a problem independently and prepare client ready deliverable with minimal supervision. Elicit, analyze, and validate customer data from ingestion to production</li>
<li>Monitor all data update processes and outputs to ensure predictive quality</li>
<li>Communicate with customers to discuss any issues with received data and help them identify and fix data issues</li>
<li>Solve day-to-day Data problems and customer challenges</li>
<li>Own the automation, deployment and operation of data pipelines on MS Azure</li>
<li>Build tools and mechanism to monitor and optimize different parts of the systems</li>
<li>Build custom integrations between cloud-based systems using APIs</li>
<li>Develop automated data quality profiling and cleansing routines to ensure &quot;AI-ready&quot; datasets that meet the strict accuracy requirements of clinical intelligence</li>
<li>Proactively evaluate and integrate emerging Azure technologies and industry trends to modernize the existing data stack and reduce technical debt.</li>
<li>Monitor and manage Azure consumption and compute costs, implementing strategies to optimize resource utilization without compromising performance.</li>
<li>Build and oversee comprehensive telemetry, alerting, and monitoring dashboards to proactively identify data drifts or pipeline latencies before they impact downstream customers</li>
<li>Lead technical design reviews and provide mentorship to junior engineers, fostering a culture of continuous learning and operational excellence.</li></ul><br>
<div></div>
<div><b>
Skills and qualifications</b></div>
<ul>
<li>Required: Working experience on Azure Data technologies like Datalake ADLSGen2, Azure DataBricks, Azure Data factory, Azure SQL, Azure Synapse etc.</li>
<li>Required: Experience in creating data orchestration using ADF and optimizing them through regular monitoring.</li>
<li>Exposure to Snowflake Cloud data Platform</li>
<li>Familiarity with Linux/Unix scripting, Python, SQL Queries and Database concepts required. Exposure to cloud onboard from legacy data sets.</li>
<li>Experience working with large datasets and building data processing platforms</li>
<li>Fluent and fast with T-SQL, query analysis and optimization. Deep skills in modeling transactional databases and data warehouses.</li>
<li>Exposure and understanding of Agile process and DevOps</li>
<li>Good to have: Experience in batch scheduling &amp; rationalization through Control M</li>
<li>Excellent interpersonal, verbal and written communication skills</li>
<li>Excellent analytical and critical thinking capabilities and problem solving skills</li>
</ul>
</div></div></div></div><div><div><p>Providence&rsquo;s vision to create &lsquo;Health for a Better World&rsquo; aids us to provide a fair and equitable workplace for all in our employment, whether temporary, part-time or full time, and to promote individuality and diversity of thought and background, and acknowledge its role in the organization&rsquo;s success. This makes us committed towards equal employment opportunities, regardless of race, religion or belief, color, ancestry, disability, marital status, gender, sexual orientation, age, nationality, ethnic origin, pregnancy, or related needs, mental or sensory disability, HIV Status, or any other category protected by applicable law. In furtherance to our mission in building a more inclusive and equitable environment, we shall, from time to time, undertake programs to assist, uplift and empower underrepresented groups including but not limited to Women, PWD (Persons with Disabilities), LGTBQ+ (Lesbian, Gay, Transgender, Bisexual or Queer), Veterans and others. We strive to address all forms of discrimination or harassment and provide a safe and confidential process to report any misconduct.</p>
<p>Contact our Integrity hotline also, read our Code of Conduct.</p></div></div></div><p></p>

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