senior data engineer

Healthsoft Middle East

<p><b>Senior Data Engineer </b></p><ul><li>Should be proficient with SQL and Python</li><li>Should be proficient with Spark (preferably PySpark and Spark SQL)</li><li>Good to have experience with Azure Cloud, Azure Databricks, Azure Data Factory, ADLS and Azure SQL</li><li>Good to have experience in healthcare domain</li><li>Good to have Databricks or Azure certifications</li><li>Senior Devops Engineer (or Senior Platform Engineer)</li><li>Should be proficient with Azure Cloud</li><li>Should be proficient in administration for Azure Databricks</li><li>Should be proficient with IaC (infrastructure as code) - Terraform (or Bicep)</li><li>Should be proficient with version control and CI&amp;CD using Azure Pipelines (or equivalent e.g., Github Actions)</li><li>Good to have experience with data engineering and analytics team</li><li>Good to have experience about Spark (how compute works, infra optimizations, performance improvements)</li><li>Good to have Databricks and Azure certification</li><li>Senior Data Modeler (or BI analyst with medallion data architecture design)</li><li>Should be proficient with SQL and Spark</li><li>Should have experience in data modeling and architecture (conceptual, logical, and physical data models) &mdash; dimensional modeling, relational modeling, etc.</li><li>Should have adept knowledge about healthcare domain</li><li>Should have excellent analytical skills for data analysis and profiling</li><li>Should have technical writing skills for model documentation and to use modelling tools</li><li>Good to have experience with metadata management and data governance</li><li>Minimum 10 years of experience in similar functional domain is required.</li></ul><p>Job Type: Full-time</p>

Senior Data Engineer

Secure Tech Cards Pvt. Ltd

<p><b>Secure Tech Consultancy</b><br/><b>Position: Senior Data Engineer (For Our Client)</b></p><p>We&rsquo;re hiring an experienced <b>Senior Data Engineer</b> to design, build, and maintain advanced data systems for our client in the <b>Fintech domain</b>. The ideal candidate will have strong expertise in <b>ETL development (Python, Talend)</b>, <b>data warehousing</b>, and <b>SQL optimization</b> across multiple databases.</p><p><b>Key Responsibilities:</b></p><ul><li>Design and maintain complex ETL/ELT pipelines and data architectures.</li><li>Build scalable data solutions for analytics and business intelligence.</li><li>Optimize SQL queries and data warehouse models (Star, Snowflake).</li><li>Manage and integrate data across Teradata, Oracle, Postgres, MySQL, MongoDB, Gauss DB, and IBM DB.</li><li>Automate processes using Linux bash scripting.</li><li>Collaborate with cross-functional teams to deliver data-driven insights.</li></ul><p><b>Requirements:</b></p><ul><li>4+ years in Data Engineering or BI.</li><li>Strong command of Python, Talend, SQL, and data modeling.</li><li>Experience in Linux scripting and familiarity with Microstrategy.</li><li>Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Engineering, or related field.</li></ul><p>If you&rsquo;re passionate about building high-performing data systems, <b>apply now</b> to join Secure Tech Consultancy&rsquo;s expert team.</p><p>Job Type: Full-time</p><p>Pay: From Rs180,000.00 per month</p><p>Work Location: In person</p>

Axiom world (Pvt.) Ltd

<ul><li><b>Job Title:</b> Senior Data Engineer / Data Solutions Specialist</li><li><b>Location:</b> Johar Town</li><li><b>Experience Required: 5+ Years</b></li><li><b>Office Timing: </b>3 pm - 12 am</li></ul><p><b>About the Role:</b></p><p>We are looking for a highly skilled <b>Senior Data Engineer</b> to architect, build, and optimize our data infrastructure. You will be responsible for designing scalable data pipelines, maintaining enterprise-grade databases, ensuring data reliability, and enabling advanced analytics across the organization. Your work will serve as the technical backbone for data-driven decision-making.</p><p><b>Key Responsibilities</b></p><ul><li>Architect, design, and maintain scalable relational and distributed databases (MS SQL Server, MySQL, PostgreSQL).</li><li>Build and optimize ETL/ELT pipelines for structured and unstructured data.</li><li>Develop and manage data warehouses and data lake solutions for analytics workloads.</li><li>Implement data ingestion frameworks and automate data workflows using SSIS, Azure Data Factory, or similar tools.</li><li>Write robust, optimized SQL queries, scripts, and stored procedures for performance-sensitive workloads.</li><li>Collaborate with Data Analysts and Business Teams to deliver analytical data models, marts, and datasets.</li><li>Implement data quality checks, governance practices, and ensure data integrity and security.</li><li>Monitor system performance and perform troubleshooting, performance tuning, and capacity planning.</li><li>Maintain documentation and enforce best practices in data architecture and DevOps/data engineering cycles.</li><li>Mentor junior team members and contribute to building a scalable data engineering culture.</li></ul><p><b>Required Qualifications</b></p><ul><li>Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Data Engineering, Information Systems, or a related field.</li><li>5+ years of proven experience as a Data Engineer, Database Developer, or similar role.</li><li>Strong command of SQL and RDBMS tuning, indexing, partitioning, and optimization.</li><li>Hands-on experience with ETL tools (SSIS, Azure Data Factory, Informatica, etc.).</li><li>Experience with data warehousing concepts, dimensional modeling, and OLAP systems.</li><li>Familiarity with cloud platforms (Azure preferred; AWS/GCP is a plus).</li><li>Good understanding of distributed data systems, streaming (Kafka/Spark) is a plus.</li><li>Experience collaborating with BI teams for KPI dashboards and analytics.</li><li>Strong analytical mindset, communication, and problem-solving skills</li></ul><p>Job Type: Full-time</p><p>Work Location: In person</p>

BBGC

We are a global technology consultancy firm with offices in Middle East, Asia, Europe and USA. We deliver business benefits through innovation. We leverage cutting-edge technology led solutions delivered by a team of skilled professionals, from sustainable software development to cloud services and operational excellence strategy. We have extensive expertise in Capital Markets and in particular Trading and Risk Management functions. Senior Data Engineer will play a critical role in designing, bu We are a global technology consultancy firm with offices in Middle East, Asia, Europe and USA. We deliver business benefits through innovation. We leverage cutting-edge technology led solutions delivered by a team of skilled professionals, from sustainable software development to cloud services and operational excellence strategy. We have extensive expertise in Capital Markets and in particular Trading and Risk Management functions. Senior Data Engineer will play a critical role in designing, building, and maintaining scalable data pipelines and analytics solutions using Azure and Data bricks ecosystem . Collaborate closely with business stakeholders - to ensure data is accessible, reliable, and optimized for performance. Requirements 6+ years of experience in data engineering or related roles. Proven expertise in Azure Data Factory and Azure Databricks. Strong proficiency in Python for data engineering tasks. Solid understanding of SQL and relational databases. Exposure to real-time data processing frameworks (e.g., Spark Streaming, Kafka). Experience in maintaining and supporting production-grade data pipelines. Familiarity with trading business domain, including market data, trade lifecycle, and financial instruments. Experience with version control systems (e.g., Git) and CI/CD pipelines. Excellent problem-solving skills and attention to detail.

Techify Solutions Pvt Ltd

<div></div><div><div><div><div><div><div><div>Location</div></div>
<div><div>Pune, India</div></div>
</div></div></div><div></div><div><div><div><div><div>Experience</div></div>
<div><div>9</div></div>
</div></div></div><div></div><div><div><div><div><div>Job Type</div></div>
<div><div>Full Time</div></div></div></div></div></div></div>
<br><div><div><div>Job Description
</div></div><div><p><b>Designation: Senior Data Engineer</b></p>
<p><b>Location:</b> Pune (On-site)<br>
<b>Department:</b> Technical<br>
<b>Shift Timings:</b> 1:00 PM &ndash; 10:00 PM IST<br>
<b>Industry:</b> Product-based company in Healthcare Domain</p>
<p><b>Job Summary</b></p>
<p>We are seeking an experienced Senior Data Engineer to join our product-based company in the Healthcare domain. The ideal candidate will have 9+ years of experience in data engineering, data modeling, governance, and platform administration. This role involves building and maintaining scalable data models using Snowflake, managing data pipelines, optimizing performance, and ensuring data quality and compliance. You will collaborate with cross-functional teams to design robust data solutions that drive actionable insights and improve healthcare outcomes.</p>
<p><b>Key Responsibilities</b></p>
<ul><li>Design, build, test, and maintain scalable data models using Snowflake.</li>
<li>Administer Snowflake environments, monitor system health, and ensure performance optimization.</li>
<li>Manage and optimize Snowflake virtual warehouses for cost-efficiency and scalability.</li>
<li>Promote self-service and decentralized data ownership across teams.</li>
<li>Enforce data governance policies to maintain standardization, data quality, and compliance.</li>
<li>Provide technical assistance and cross-training to team members.</li>
<li>Participate in design sessions and prepare technical design documentation and diagrams.</li>
<li>Conduct code reviews and provide constructive feedback to peers.</li>
<li>Mentor engineers to support team growth and professional development.</li>
<li>Collaborate with senior engineers in the Registry Architecture Review Board.</li>
<li>Ensure delivery quality and provide support for production services.</li>
</ul>
<p><b>Requirements</b></p>
<ul><li>9+ years of experience as a Data Engineer, Software Developer, or Administrator with focus on data modeling, governance, and platform administration.</li>
<li>Expertise in Snowflake or similar MPP databases.</li>
<li>Strong SQL programming and database design skills.</li>
<li>Experience with multiple database technologies &ndash; MSSQL, PostgreSQL, OLAP, OLTP.</li>
<li>Familiarity with ETL/ELT tools and data transformation methodologies.</li>
<li>Experience with database monitoring, stored procedures, and schema design.</li>
<li>Practical understanding of data governance principles and data quality standards.</li>
<li>Hands-on experience with cloud environments (SaaS, PaaS, IaaS).</li>
<li>Proficiency with source control systems such as Git and Gitflow.</li>
<li>Strong communication skills, both written and verbal.</li>
<li>Experience with technical design documentation and cross-team collaboration.</li>
<li>Exposure to Agentic AI (Claude, GPT, etc.) for data analysis and automation.</li>
</ul>
<p><b>Good to Have</b></p>
<ul><li>Experience with test automation and data validation frameworks.</li>
<li>Familiarity with Generative AI and Spec-Driven Development.</li>
<li>Experience with Kafka, Azure Event Hubs, or Azure Service Bus for data streaming.</li>
<li>Knowledge of CI/CD practices and modern DevOps tools.</li>
<li>Ability to work independently and within Agile teams.</li>
<li>Experience with Azure cloud services and data pipeline management.</li>
<li>Exposure to Master Data Management (MDM).</li>
<li>Proficiency in Python for data transformation and pipeline automation.</li>
<li>Understanding of data mesh principles and decentralized data architecture.</li>
<li>Strong prioritization, multitasking, and analytical abilities.</li></ul><p><br>
</p></div><br>
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<p></p><div><div>About Company</div>
</div><div><p>Techify is the Fastest Growing Tech Company with a talented, passionate and learning team. Techify's DNA Is About Solutions &amp; Technologies. We are here to help our customers grow their business.</p>
<p>Our Vision is to Become One of the Best Product Engineering companies in India We put client relationships first hence our mission is to build software solutions that help clients transform their business by unleashing hidden potential with technology.</p>
<p>So our success mantra is Customer first, Team second and We are the third.</p>
<p>Our main focus is our Customers&rsquo; and Partners&rsquo; success. Our visionary and experienced team turns innovative ideas into efficient products &amp; softwares. Our well-defined processes ensure on-time delivery to our partners giving us an edge over our competitors. The most important pillar in achieving our goals is our dedicated Team and to encourage them and keep them motivated, we have set up a culture that rewards Self Development and Innovation.</p>
<p>Our cutting-edge services include intensive research and analysis to identify the appropriate technology to achieve best performances by incurring least cost possible. We take a studied approach towards cost, performance, feature trade-offs to help companies surmount the challenges of delivering high-quality, timely products and services to the marketplace. We have the ability to take up any product be it at the stage of defining, designing, verifying or realizing.</p>
<p>Here are our recognitions. We are the winner of Grand Challenge in Vibrant Gujarat Summit&rsquo;2018. We have also achieved prestigious &ldquo;Trend Setter&rdquo; award from Gujarat Innovation Society. Times Coffee Table Book Covered us in &ldquo;Gujarat the Inspiring edge&rdquo; edition. We are also Amazon web services consulting and networking partners.</p></div></div><p></p>

Mercurial Minds (Pvt) Ltd

<p><b>Senior Data Engineer Job Description</b></p><p><b>Role Overview</b></p><p>We are seeking a highly skilled and experienced <b>Senior Data Engineer</b> to join our data team. This role is critical for designing, building, and maintaining our robust data architecture, ensuring high-quality data pipelines that drive key business intelligence and analytical decisions. The ideal candidate is an expert in diverse database systems, advanced ETL processes, and complex data warehousing concepts.</p><p><b>Key Responsibilities</b></p><p><b>Data Pipeline Development &amp; ETL</b></p><ul><li><b>Design, develop, and maintain complex ETL (Extract, Transform, Load) and ELT processes</b> using <b>Python</b> and <b>Talend</b>.</li><li>Develop robust, scalable, and highly performant data solutions for business intelligence and analytics.</li><li>Implement data quality checks, data validation, and monitoring processes within all ETL jobs.</li></ul><p><b>Database and Data Warehousing</b></p><ul><li>Serve as the subject matter expert in developing and optimizing <b>complex SQL queries</b> utilizing advanced analytical functions (e.g., window functions, common table expressions).</li><li>Apply expert knowledge of <b>Data Warehouse (DWH) modeling</b> techniques (e.g., Star Schema, Snowflake Schema, 3NF) to design and optimize data structures.</li><li>Demonstrate proficiency in managing and integrating data from a variety of databases, including <b>Mongo DB, Teradata, Oracle, Gauss DB, IBM DB, Postgres, and MySQL</b>.</li></ul><p><b>Technical Environment &amp; Tools</b></p><ul><li>Utilize and maintain expertise in the <b>Linux bash scripting</b> environment for automation and job orchestration.</li><li>Work with reporting and visualization tools, specifically <b>Microstrategy</b>, to support downstream reporting requirements.</li></ul><p><b>Project Leadership &amp; Communication</b></p><ul><li><b>Lead and manage complex, end-to-end data projects</b>, ensuring delivery meets technical specifications and business timelines.</li><li><b>Communicate effectively with multiple stakeholders</b>, including product managers, business analysts, and leadership, translating technical complexities into clear business implications.</li><li>Possess strong <b>presentation skills</b> and be proficient in designing clear, compelling data-driven presentations to share insights and project updates.</li></ul><p><b>Domain Knowledge</b></p><ul><li>A deep knowledge of Fintech Domain Required</li></ul><p><b>Required Qualifications and Skills</b></p><ul><li><b>Experience:</b> 4+ years of experience in Data Engineering, Business Intelligence, or a related field.</li><li><b>Expert ETL Tools:</b> Proven, hands-on expertise in writing complex ETL logic using <b>Python</b> and <b>Talend</b>.</li><li><b>Advanced SQL:</b> Expert-level proficiency in writing and tuning complex SQL queries and utilizing advanced analytical/window functions.</li><li><b>Data Modeling:</b> Deep knowledge of <b>DWH modeling</b> principles (Star, Snowflake, etc.).</li><li><b>Database Expertise:</b> Hands-on experience with the administration, querying, and performance tuning of a diverse set of database technologies, including <b>Teradata, Oracle, Postgres, MySQL, Mongo DB, Gauss DB, and IBM DB</b>.</li><li><b>Scripting:</b> Strong proficiency in <b>Linux bash scripting</b> for automation.</li><li><b>BI Tooling:</b> Familiarity with the <b>Microstrategy</b> reporting tool is highly desirable.</li><li><b>Soft Skills:</b> Demonstrated ability to manage projects, handle ambiguity, and present technical information clearly to non-technical audiences.</li></ul><p><b>Education</b></p><ul><li>Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related quantitative field.</li></ul><p>Job Type: Full-time</p><p>Ability to commute/relocate:</p><ul><li>Islamabad: Reliably commute or planning to relocate before starting work (Required)</li></ul><p>Experience:</p><ul><li>Linux: 2 years (Required)</li></ul><p>Work Location: In person</p>

Information Technology Senior Management Forum

<div><div><p>Posted Date</p>
<p>10/24/2025</p>
</div><div><p>Description</p>
<div>Senior 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 Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One 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>
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><p><b>
Basic Qualifications:</b></p><ul><li>
Bachelor&rsquo;s Degree</li><li>
At least 3 years of experience in application development (Internship experience does not apply)</li><li>
At least 1 year of experience in big data technologies</li></ul><p><b>
Preferred Qualifications:</b></p><ul><li>
5+ years of experience in application development including Python, SQL, Scala, or Java</li><li>
2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)</li><li>
3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)</li><li>
2+ year experience working on real-time data and streaming applications</li><li>
2+ years of experience with NoSQL implementation (Mongo, Cassandra)</li><li>
2+ years of data warehousing experience (Redshift or Snowflake)</li><li>
3+ 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>
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).</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>
Richmond, VA: $144,200 - $164,600 for Senior 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 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 Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One 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>
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><p><b>
Basic Qualifications:</b></p><ul><li>
Bachelor&rsquo;s Degree</li><li>
At least 3 years of experience in application development (Internship experience does not apply)</li><li>
At least 1 year of experience in big data technologies</li></ul><p><b>
Preferred Qualifications:</b></p><ul><li>
5+ years of experience in application development including Python, SQL, Scala, or Java</li><li>
2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)</li><li>
3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)</li><li>
2+ year experience working on real-time data and streaming applications</li><li>
2+ years of experience with NoSQL implementation (Mongo, Cassandra)</li><li>
2+ years of data warehousing experience (Redshift or Snowflake)</li><li>
3+ 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>
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).</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>
Richmond, VA: $144,200 - $164,600 for Senior 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>
144,200.00 - 164,600.00 Annual</p>
</div><div></div><div><div><p>Type</p><div><p>
Full-time</p></div></div></div></div>

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