lead data engineer

Salesforce

<div>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
Software Engineering
Job Details
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
Lead Data Engineer
Office hybrid in Seattle or Chicago
As a Data Engineer at Salesforce within the Data &amp; Analytics organization, you will collaborate with cross-functional teams to create and manage robust data solutions that support our analytics and business intelligence initiatives, building scalable and efficient data pipelines, optimizing data workflows, and ensuring data quality and reliability. The Customer Success Data Platform organization sits at the intersection of Automation, Analytics, and AI, pushing the boundaries of Salesforce technology as Customer 0 and providing trusted data that supports the AI + Human tandem. 
<h2 class="jobSectionHeader"> 
What You&rsquo;ll Do
</h2><ul><li><h3 class="jobSectionHeader">Architect Multi-Stage Medallion Pipelines: Design and oversee the implementation of a robust Medallion Architecture (Bronze, Silver, and Gold layers), ensuring seamless transitions from raw ingestion to highly refined, business-logic-heavy data assets.
</h3></li><li><h3 class="jobSectionHeader">Lead Semantic Layer Strategy: Own the development and governance of the Semantic Layer , defining standardized metrics and dimensions to ensure consistent interpretation of KPIs across all downstream business intelligence and reporting platforms.
</h3></li><li><h3 class="jobSectionHeader">Advanced Dimensional Modeling: Lead the transition from flat tables to sophisticated Star and Snowflake schemas. Design high-performance data models that support complex relationship mapping, historical versioning (SCD Type 2), and high-concurrency querying.
</h3></li><li><h3 class="jobSectionHeader">Engineering Identity &amp; Entity Resolution: Build and maintain scalable pipelines for identity resolution, stitching together disparate data points across the Salesforce ecosystem to create unified, governed customer and product graphs.
</h3></li><li><h3 class="jobSectionHeader">Infrastructure for Causal &amp; Attribution Modeling: Partner with Decision Scientists to engineer the specialized data structures and features required for advanced attribution and causal inference, ensuring these models are backed by high-integrity, production-ready data.
</h3></li><li><h3 class="jobSectionHeader">Data Contracts &amp; Quality Governance: Establish and enforce strict Data Contracts between upstream producers and downstream consumers. Implement automated validation frameworks to monitor data freshness, schema drift, and semantic accuracy.
</h3></li><li><h3 class="jobSectionHeader">Operational Excellence &amp; CI/CD: Drive engineering best practices by implementing rigorous CI/CD workflows for data pipelines, emphasizing automated testing, version control for SQL/Python transformations, and proactive performance tuning.
</h3></li><li><h3 class="jobSectionHeader">Cross-Functional System Design: Collaborate with Product Managers and Engineering leaders to translate complex business requirements into scalable technical architectures, prioritizing data lineage, transparency, and low-latency access to trusted metrics. 
 
</h3></li></ul>Qualifications:
<ul><li>8+ years of experience as a Data Engineer or in a similar role.
</li><li>A related technical degree required.
</li><li>Proficiency in data engineering tools and languages, such as Python, SQL, and Spark.
</li><li>Strong understanding of database concepts, data modeling, and ETL processes with tools like Airflow, dbt, Informatica, etc.
</li><li>Experience with cloud-based data solutions (e.g., AWS, Azure, Google Cloud).
</li><li>Familiarity with data warehousing, SQL, NoSQL databases, and data integration techniques.
</li><li>Experience with the Salesforce Ecosystem, specifically Data Cloud.
</li><li>Problem-solving skills to troubleshoot and resolve data-related issues.
</li><li>Excellent communication skills and ability to collaborate in a cross-functional environment.
</li></ul>Unleash Your Potential
When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .
Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates&rsquo; resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.
At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.&amp;#xa;&amp;#xa;The typical base salary range for this position is $172,500 - $260,100 annually. &amp;#xa;&amp;#xa;The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.</div>

Lead Data Engineer

Inception

<div>
 Inception, a G42 company, is the region&rsquo;s leading innovator of AI-powered domain-specific as well as industry-agnostic products, built on a rich heritage of research and development. Within the G42 ecosystem, Inception functions as the core intelligence layer &ndash; transforming data and compute infrastructure into real-world, applied AI solutions. Beyond its commercial endeavors, Inception is committed to creating positive societal impact. For more information, please visit www.inceptionai.ai
 
 
 
 Overview
 
 
 
 Inception is seeking a highly skilled Lead Data Engineer to architect and build scalable, cloud-native data and AI pipelines that power enterprise LLM, RAG, and retrieval systems.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, build, and optimize scalable data pipelines for AI/LLM workloads, including vectorization and embedding processing.
 </li>
 <li>
 Develop and maintain ETL/ELT workflows for structured, unstructured, and streaming data.
 </li>
 <li>
 Create and manage vector database indexing and similarity search pipelines using tools like FAISS, Pinecone, Weaviate, Qdrant, Chroma.
 </li>
 <li>
 Build retrieval systems for RAG, semantic search, and enterprise knowledge retrieval.
 </li>
 <li>
 Develop robust, reusable data orchestration pipelines using Airflow, Spark, or similar tools.
 </li>
 <li>
 Architect and manage data pipelines across Azure (primary), AWS, and GCP environments.
 </li>
 <li>
 Integrate and optimize storage and processing across SQL, NoSQL, and vector databases.
 </li>
 <li>
 Contribute to the design and implementation of event-driven architectures.
 </li>
 <li>
 Collaborate with AI teams to enable embedding generation, LLM integration, and model-serving pipelines.
 </li>
 <li>
 Ensure end-to-end data quality, monitoring, reliability, and observability.
 </li>
 <li>
 Lead or participate in system design for large-scale, distributed data and AI systems.
 
 
 </li>
 </ul>
 
 Required Skills
 
 
 
 
 Programming &amp; Data
 
 
 
 <ul>
 <li>
 Strong expertise in Python for data processing, APIs, automation, or distributed workloads.
 </li>
 <li>
 Strong proficiency in SQL and knowledge of NoSQL databases (MongoDB, DynamoDB, Cosmos DB, etc.).
 </li>
 <li>
 Experience with vector databases, such as: FAISS, Pinecone, Weaviate, Qdrant, Chroma.
 </li>
 <li>
 Strong knowledge of data modeling, pipeline development, and ETL/ELT frameworks.
 
 
 </li>
 </ul>
 
 AI/LLM Infrastructure
 
 
 
 <ul>
 <li>
 Solid understanding of vectorization, embeddings, and similarity search techniques.
 </li>
 <li>
 Familiarity with LLMs, embedding models, and RAG pipeline concepts.
 </li>
 <li>
 Experience integrating embedding-generation pipelines via Hugging Face, OpenAI, or other model providers.
 
 
 </li>
 </ul>
 
 Cloud &amp; Distributed Systems
 
 
 
 <ul>
 <li>
 Proficiency with Azure (primary), and familiarity with AWS and GCP.
 </li>
 <li>
 Experience with Docker and containerized development.
 </li>
 <li>
 Understanding of Kubernetes is a strong plus.
 
 
 </li>
 </ul>
 
 Orchestration &amp; Big Data
 
 
 
 <ul>
 <li>
 Expertise in Apache Airflow for scheduling and orchestration.
 </li>
 <li>
 Experience with Apache Spark or equivalent distributed processing frameworks.
 
 
 </li>
 </ul>
 
 Architecture &amp; Engineering Fundamentals
 
 
 
 <ul>
 <li>
 Strong system design fundamentals for scalable and distributed systems.
 </li>
 <li>
 Knowledge of event-driven architecture and modern data platforms.
 </li>
 <li>
 Strong understanding of DevOps, CI/CD, version control, and observability best practices.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 8+ years of progressive experience in data engineering, distributed systems, or AI/ML data infrastructure
 </li>
 <li>
 Experience building RAG pipelines in production.
 </li>
 <li>
 Knowledge of graph databases or hybrid search systems.
 </li>
 <li>
 Understanding of model deployment, inference optimization, and caching techniques for LLM workloads.
 </li>
 <li>
 Familiarity with data governance, IAM, and security patterns across cloud ecosystems
 
 
 </li>
 </ul>
 What We Look For
 
 
 If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Inception community.
 
 
 What Working At Inception Offers
 
 
 Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
 
 
 Career: Outstanding learning, development &amp; growth opportunities via structured training programs and innovative, high-tech projects.
 
 
 Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.
 
 
 If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
</div>

<div><div><h2 class="jobSectionHeader">Position Description:</h2>
As a Lead Data Engineer, you will lead a team of data engineers and collaborate with architects, engineers, information analysts, business, and technology stakeholders to develop and deploy enterprise-grade platforms that enable data-driven solutions. You will be responsible for updating the design parameters and implementation details of robust data pipelines, optimizing data processes, ensuring data quality, security, and governance. The role requires knowledge of GCP services that include all GCP based services for GCP Dataflow, Cloud Run Functions, AlloyDB, Pub Sub streams, IAC, Big Query and Data Plex. This is an event-driven architecture processing real-time and batch data processing from legacy external systems. 
This position can be located at any CGI office in the U.S, preferred location is Fairfax,VA; however, a hybrid working model is acceptable. 
Your future duties and responsibilities: 
Lead the design, development, and maintenance of robust data pipelines using Dataflow and Cloud Run Functions that extract data from various sources, transforming it into the desired format, and loading it into appropriate landing zone of Pub/Sub, Google Storage, or AlloyDB for PostgreSQL. 
Collaborate with FAA customers, chief architect, senior engineers, information analysts, business, and technology stakeholders to develop and deploy enterprise-grade platforms that enable data-driven solutions. 
Develop and manage ETL (Extract, Transform, Load) processes using GCP Dataflow with GCP flex templates with Java language to support data transformations into XML and JSON documents, enriching them for downstream data consumers. 
Implement and manage advanced data models, including relational databases, non-relational databases, master data management, Data Plex and data governance. 
Integrate data from legacy data sources, including databases, data warehouses, APIs, and external systems using Data Flow and Cloud Run Functions. 
Ensure data consistency and integrity during the integration process, performing data validation and cleaning as needed, manage data and the quality of the data. 
Transform raw data into a usable format by applying data cleansing, aggregation, filtering, and enrichment techniques using data flow, cloud run functions and other GCP services. 
Design and Optimize data pipelines and data processing workflows for performance, scalability, and efficiency using data flow and cloud run functions. 
Monitor and tune data systems, identify and resolve performance bottlenecks, implement performance gains and indexing strategies to enhance query performance. 
Implement data quality checks and validations within data pipelines to ensure the accuracy, consistency, and completeness of data. 
Optimize and administer data environments and data related GCP services to ensure high performance and reliability. 
Collaborate with cross-functional teams to del 
Required qualifications to be successful in this role: 
.Minimum of 12 years of experience in data engineering, with at least 2 years of hands-on experience with Google Cloud Based services. 
At least 8 years of work experience in data solutions design, management disciplines, including data integration, modeling, optimization, and data quality, directly relevant to data engineering responsibilities and tasks. 
Project management - able to understand business needs and help the team prioritize and manage the workload effectively 
Data architect - able to provide high level guidance and oversight to the team and ensure changes are being made done in a way that ensures operational stability and long-term maintainability + operational support / understands and can direct methodologies for a 24/7 application data operation 
Strong knowledge of SQL, Python, and Java. Data Flow flex templates are used with Java to code the desired data transformations.
 
Experience with cloud platforms such as GCP, GKE, IAM, Terraform, CI/CD to deliver automated solutions and problem solver. 
Excellent problem-solving skills, including debugging skills, allowing the determination of sources of issues in unfamiliar code or systems, and the ability to recognize and solve repetitive problems. 
Strong communication skills and a proactive getting things done mindset. 
Experience working in Agile teams and familiarity with Agile methodologies, SCRUM with 2-week sprints. 
Ability to design, build, and deploy data solutions that capture, explore, transform, and utilize data to support mission applications, insights, and reporting. 
Experience with database technologies such as SQL, NoSQL, AlloyDB Postgress. 
Ability to collaborate within and across teams of different technical knowledge to support the delivery of data products. 
Strong knowledge of data architecture in application development or reporting. 
Excellent organizational and analytical abilities. 
Good written and verbal communication skills 
Should be proficient in archit 
Desired qualifications/non-essential skills required: 
.Industry knowledge in sectors such as Government and Aviation preferred 
CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. To support the ability to reward for merit-based performance, CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $113,400.00 - $223,200.00. 
CGI Federal's benefits are offered to eligible professionals on their first day of employment to include:
 
.Competitive compensation 
.Comprehensive insurance options 
.Matching contributions through the 401(k) plan and the share purchase plan 
.Paid time off for vacation, holidays, and sick time 
.Paid parental leave 
.Learning opportunities and tuition assistance 
.Wellness and Well-being programs 
#CGIFederalJob 
#LI-RT1 
 
</div><div><h2 class="jobSectionHeader">Skills:</h2>
<ul><li>Data Architecture</li>
<li>Data Engineering</li>
<li>Project Management</li>
</ul></div><div><h2 class="jobSectionHeader">What you can expect from us:</h2>
Together, as owners, lets turn meaningful insights into action. 
 
Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, youll reach your full potential because 
 
You are invited to be an owner from day 1 as we work together to bring our Dream to life. Thats why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our companys strategy and direction. 
 
Your work creates value. Youll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. 
 
Youll shape your career by joining a company built to grow and last. Youll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.
 
 
Come join our teamone of the largest IT and business consulting services firms in the world. 
 
Qualified applicants will receive consideration for employment without regard to their race, ethnicity, ancestry, color, sex, religion, creed, age, national origin, citizenship status, disability, pregnancy, medical condition, military and veteran status, marital status, sexual orientation or perceived sexual orientation, gender, gender identity, and gender expression, familial status or responsibilities, reproductive health decisions, political affiliation, genetic information, height, weight, or any other legally protected status or characteristics to the extent required by applicable federal, state, and/or local laws where we do business. 
 
CGI provides reasonable accommodations to qualified individuals with disabilities. If you need an accommodation to apply for a job in the U.S., please email the CGI U.S. Employment Compliance mailbox at US_Employment_Compliance@cgi.com. You will need to reference the Position ID of the position in which you are interested. Your message will be routed to the appropriate recruiter who will assist you. Please note, this email address is only to be used for those individuals who need an accommodation to apply for a job. Emails for any other reason or those that do not include a Position ID will not be returned. 
 
We make it easy to translate military experience and skills! to be directed to our site that is dedicated to veterans and transitioning service members. 
 
All CGI offers of employment in the U.S. are contingent upon the ability to successfully complete a background investigation. Background investigation components can vary dependent upon specific assignment and/or level of US government security clearance held. Dependent upon role and/or federal government security clearance requirements, and in accordance with applicable laws, some background investigations may include a credit check. CGI will consider for employment qualified applicants with arrests and conviction records in accordance with all local regulations and ordinances. 
 
CGI will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with CGIs legal duty to furnish information.</div></div>

Capital One

<div>Sr. Lead Data Engineer (Enterprise Platforms Technology)
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 Data Engineers 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. 
 
The Marketing and Messaging team is responsible for delivering hyper-personalized messages and experiences that will delight the customer, attract prospects and drive increasing business value. The team builds scalable platforms that deliver omnichannel messages in owned and paid Adtech channels.
What You&rsquo;ll Do:<ul><li>
Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions using data movement tools and technologies</li><li>
Work, as a lead developer, with a team of developers with deep experience in data movement, distributed computing, and full stack systems</li><li>
Utilize programming languages like Python, SQL and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Snowflake, Databricks</li><li>
Optimize information system for end-user and downstream application consumers by using sound data design practices</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>
Basic Qualifications:<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>
Preferred Qualifications:<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, 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>
4+ years of experience with data modeling and data warehousing</li><li>
2+ years of experience with Agile engineering practices</li><li>
1+ years of experience leveraging AI-assisted coding tools (Claude Code, Github Copilot) to accelerate the software delivery process</li></ul>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
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.
McLean, VA: $229,900 - $262,400 for Sr. Lead Data Engineer 

New York, NY: $250,800 - $286,200 for Sr. Lead Data Engineer 

Richmond, VA: $209,000 - $238,500 for Sr. Lead Data Engineer 
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.
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.
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.
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.
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.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
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.
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).</div>

Sr. Lead Data Engineer (Enterprise Platforms Technology)

Infosys

<div>In the assigned Job Role of Technology Consultant 2, your Area Of Responsibility will be as below: 
<ul><li>Contribute to the requirements elicitation process by documenting assigned parts of business requirements, in line with guidance provided
</li><li>Facilitate software application design discussions, and document design decisions to guide the technical team towards building software solutions
</li><li>Participate in coding and integrate new features or updates into existing applications, with a focus on maintaining system stability
</li><li>Conduct code reviews, do changes to the codebase and maintain code repositories
</li><li>Implement test strategies, analyse results, and coordinate bug fixes to uphold the software quality standards
</li><li>Develop user training programs, documentation, and support frameworks to ensure a smooth transition to new software applications
</li><li>Actively participate in resolving production issues and recommend preventive strategies to enhance system reliability
</li><li>Maintain detailed records of code, testing techniques, and support activities to enrich the knowledge base and assist other similar projects</li></ul> 

Your contribution to the team: 
<ul><li>A collaborative spirit and excellent communication skills.
</li><li>The ability to handle end to end SDLC phases from requirement gathering to implementation.
</li><li>A knack for translating complex requirements into actionable development tasks.
</li><li>A passion for design and hands-on coding experience
</li><li>A proactive approach to testing, troubleshooting, and refining our applications.
</li><li>The ability to work with cross-functional teams and do software integration.</li></ul></div>

<div>Lead Data Engineer - Intelligent Foundations and Experiences (IFX)
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 Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Lead Data Engineer, you&rsquo;ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
What You&rsquo;ll Do:<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>
Work with 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>
Basic Qualifications:<ul><li>
Bachelor&rsquo;s Degree</li><li>
At least 4 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>
Preferred Qualifications:<ul><li>
7+ 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>
4+ 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>
At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).
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.
McLean, VA: $197,300 - $225,100 for Lead Data Engineer 

Richmond, VA: $179,400 - $204,700 for Lead Data Engineer 
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.
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.
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.
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.
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.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
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.
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).</div>

Lead Data Engineer - Intelligent Foundations and Experiences (IFX)

<div>Lead Data Engineer (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology)
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 Sr. Data Engineers who are passionate about data, data modeling, data quality, governance and permissible use and building data pipelines with emerging technologies. As a Capital One Lead Data Engineer, you&rsquo;ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
Team:
The Marketing and Messaging team is responsible for delivering hyper-personalized messages and experiences that will delight the customer, attract prospects and drive increasing business value. The team builds scalable platforms that deliver omnichannel messages in owned and paid Adtech channels.
What You&rsquo;ll Do:<ul><li>
Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions using data movement tools and technologies</li><li>
Work, as a lead developer, with a team of developers with deep experience in data movement, distributed computing, and full stack systems</li><li>
Utilize programming languages like Python, SQL and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Snowflake, Databricks</li><li>
Optimize information system for end-user and downstream application consumers by using sound data design practices</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>
Basic Qualifications:<ul><li>
Bachelor&rsquo;s Degree</li><li>
At least 4 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>
Preferred Qualifications:<ul><li>
7+ years of experience in application development including Python, SQL, Spark, ETL tools, AWS Glue</li><li>
4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)</li><li>
4+ years of experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, or MySQL)</li><li>
4+ years of 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>
4+ years of experience with data modeling for data warehousing</li><li>
2+ years of experience with Agile engineering practices</li><li>
1+ years of experience leveraging AI-assisted coding tools (Claude Code, GitHub Copilot) to accelerate the software delivery</li></ul>
At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).
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.
McLean, VA: $197,300 - $225,100 for Lead Data Engineer 
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.
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.
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.
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.
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.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
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.
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).</div>

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