lead data engineer

Capital One

<div>Lead Data Engineer<p></p><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 Lead Data Engineer, you&rsquo;ll have the opportunity to be on the forefront of driving a major transformation within Capital One.</p><p></p><p>
What You&rsquo;ll Do:</p><ul><li><p>
Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies</p></li><li><p>
Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems</p></li><li><p>
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</p></li><li><p>
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</p></li><li><p>
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment</p></li><li><p>
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</p></li></ul><p></p><p>
Basic Qualifications:</p><ul><li><p>
Bachelor&rsquo;s Degree</p></li><li><p>
At least 4 years of experience in application development (Internship experience does not apply)</p></li><li><p>
At least 2 years of experience in big data technologies</p></li><li><p>
At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)</p></li></ul><p></p><p>
Preferred Qualifications:</p><ul><li><p>
7+ years of experience in application development including Python, SQL, Scala, or Java</p></li><li><p>
4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)</p></li><li><p>
4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)</p></li><li><p>
4+ year experience working on real-time data and streaming applications</p></li><li><p>
4+ years of experience with NoSQL implementation (Mongo, Cassandra)</p></li><li><p>
4+ years of data warehousing experience (Redshift or Snowflake)</p></li><li><p>
4+ years of experience with UNIX/Linux including basic commands and shell scripting</p></li><li><p>
2+ years of experience with Agile engineering practices</p></li><li><p>
Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion</p></li></ul><p></p><p><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></p><p></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><p></p>
Sales Territory: $179,400 - $204,700 for Lead Data Engineer<br>
<p></p>
New York, NY: $215,200 - $245,600 for 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><p></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></p><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><p></p>
This role is expected to accept applications for a minimum of 5 business days.<p></p>
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></p><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></p><p>
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com</p><p></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></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>

Lead Data Engineer

Wawa

<div><b>Soar with us at Wawa.
</b><p>We believe we can make life a little better every day &ndash; one smile, hoagie, or experience at a time. And there&rsquo;s one secret ingredient that truly sets Wawa apart: Our Associates. At Wawa, you&rsquo;ll be part of a caring team that&rsquo;s dedicated to helping all of us fly high &ndash; together. We&rsquo;re team players, day-brighteners, and go-getters: and we know that Wawa is a place where we can build skills to thrive and open doors to new career opportunities. We&rsquo;re proud to be a part of a winning team of Associate owners who shape our success. We&rsquo;re committed to helping our communities and one another at every turn, because we know that when we fly together, there&rsquo;s no limit to how far we can go. <b>Ready to be part of a team that helps you reach new heights? Join our flock and get ready to soar.</b></p><p><b>
Job Description</b></p><p><b>
Job Title: </b>Lead Data Engineer</p><p><b>
Location: </b>Corporate</p><p><b>
Department: </b>Information Technology
</p><p></p><p><b>Job Summary:</b></p><p>
The Lead Data Engineer role designs and develops complex, scalable data solutions using data integration tools and technologies. The individual utilizes modern data platforms and storage tools to create prototypes and data products utilizing multiple components and variables. Design, build, and test data pipelines and solutions. Additionally, the Lead Data Engineer integrates and tests data pipelines with Advance Analytics and AI platforms.</p><p></p><p><b>
Principal Duties:</b></p><ul><li>
Responsible for designing and implementing complex solutions for loading both structured and semi-structured data design into multiple target data systems.</li><li>
Design, develop, optimize, and maintain data pipelines and processes that adhere to data integration principles and business goals.</li><li>
Solve complex data problems by delivering insights that help our business to achieve their goals.</li><li>
Code, test, and document new or modified data systems to create robust and scalable applications for data analytics.</li><li>
Ensure that data pipelines are scalable, repeatable, and secure, and can serve multiple users within the company.</li><li>
Design and implement data ingestion techniques for real time and batch processes for structured and semi-structured data sources into Wawa&rsquo;s Raw, Refined, and Data Product layers of Wawa&rsquo;s enterprise data platform.</li><li>
Understand enterprise business areas and needs and translate into business requirements and propose end to end and simplified enterprise information architecture solutions.</li><li>
Design and implement data design methods, data structures, and modeling standards which work with multiple business intelligence tools.</li><li>
Work closely with Analytics team and implement their self-service and analytics requirements.</li><li>
Work with Data Science practitioners and developers to make sure that all data solutions are consistent.</li><li>
Collaborate with Analytics team to build solutions that enable business analytics.</li><li>
Develop quality scalable, tested, and reliable data services using industry best practices.</li><li>
Manage all activities centered on obtaining data and loading into a data lake environment.</li><li>
Assess the suitability and quality of candidate data sets for the data lake.</li><li>
Contribute to thought leadership in data solution technical design and implementation.</li><li>
Mentor to junior resources in technical best practices.</li><li>
Balance business requirements with technical feasibility and set expectations on new projects. Recommend and draft changes in development, maintenance and system standards.</li><li>
Design and build integration components and interfaces in collaboration with Architects and Infrastructure Engineers as necessary.</li><li>
Perform unit, component, integration testing of software components including the design, implementation, evaluation and execution of unit and assembly test scripts.</li><li>
Determine if the data received from the upstream systems are of good quality based on the rules and data quality validations defined and in case of any issues with the data quality analyze and come up with a preliminary summary of the root cause/issue.</li><li>
Assist the Analytics team by leveraging Wawa&rsquo;s Enterprise Data Platform ecosystem to design, and develop capabilities to deliver our solutions using Python, SQL, and Snowflake.</li><li>
Follow security standards for all data and tools that are being introduced in the team.</li><li>
Design and deliver certified data products (Bronze/Silver/Gold) with documented quality SLAs, lineage, and ownership.</li><li>
Partner with Data Governance on certification reviews, quality remediation, and policy adherence for production datasets.</li><li>
Build and maintain Snowflake-native transformation pipelines (SQL, stored procedures, tasks, streams, dynamic tables) with version control, testing, and CI/CD-gated deployment.</li><li>
Optimize warehouse cost and performance through query tuning, warehouse sizing, and consumption monitoring.</li><li>
Provide technical direction and design review for a workstream of 3-5 engineers; act as escalation point for production data issues.</li></ul><p></p><p><b>
Essential Functions</b><b>:</b></p><ul><li>
Handle multiple priorities simultaneously</li><li>
Work collaboratively with cross-functional teams</li><li>
Ability to build strong trusting relationships with business partners</li><li>
Passion for innovation and &ldquo;can do&rdquo; attitude to thrive in a fast-paced environment</li><li>
Ability to work in a fast-paced, team environment</li><li>
Excellent communication skills</li><li>
Basic project management skills required</li><li>
Work with the team to lead and maintain data strategy standards in all the data team is responsible for</li><li>
Ability to lead a team</li></ul><p></p><p><b>
Basic Qualifications:</b></p><ul><li>
Bachelor&rsquo;s degree in Computer Science/Engineering preferred</li><li>
8+ years database, data integration experience</li><li>
5+ years experience with SQL, Scala/Python, Spark, and Modern Data Stack solutions</li><li>
5+ years experience in designing and implementing data architecture (conceptual, logical, physical &amp; dimensional models).</li><li>
Developing Enterprise Data &amp; Analytics solutions on one or more of the following EDW platforms: Snowflake, Databricks, AWS, and BigQuery</li><li>
Experience implementing data solutions using open-source technologies</li><li>
Experience designing and implementing various data pipeline patterns and strategies</li><li>
Hands-on experience with dimensional modeling techniques and creation of logical and physical data models (entity relationship modeling, exposure to data warehouse design)</li><li>
Strong knowledge of data security principles</li><li>
Proven track record working with complex, interrelated systems and bringing that data together on enterprise platforms.</li><li>
Hands-on experience building Snowflake-native transformation pipelines using SQL, stored procedures, tasks, streams, and dynamic tables.</li><li>
Experience operating Snowflake at scale: warehouse sizing, cost monitoring, query optimization, and access control.</li><li>
Familiarity with data observability and quality tooling (e.g., Monte Carlo, Great Expectations, Snowflake data quality monitors) and applying it to certification SLAs.</li><li>
Demonstrated technical leadership: mentoring senior engineers, leading design reviews, and driving cross-team alignment on data standards.</li></ul><p></p><p>
Wawa will provide reasonable accommodation to complete an application upon request, consistent with applicable law. If you require an accommodation, please contact our Associate Service Center at asc@wawa.com.</p><p></p><p>
Wawa, Inc. is an equal opportunity employer. Wawa maintains a work environment in which Associates are treated fairly and with respect and in which discrimination of any kind will not be tolerated. In accordance with federal, state and local laws, we recruit, hire, promote and evaluate all applicants and Associates without regard to race, color, religion, sex, age, national origin, ancestry, familial status, marital status, sexual orientation or preference, gender identity or expression, citizenship status, disability, veteran or military status, genetic information, domestic or sexual violence victim status or any other characteristic protected by applicable law. Unlawful discrimination will not be a factor in any employment decision.</p></div>

Chubb Insurance

<div><p>By joining Chubb as Lead Data Engineer for our North America Finance &amp; Actuarial data platform, you'll set the engineering direction for a portfolio of strategic applications &mdash; Atlas, BAR, CDW, Posting, and Regulatory Reporting &mdash; that directly underpin financial, actuarial, claims, and regulatory decision-making across the enterprise. This is a technical leadership role: you'll define and drive engineering standards, architect and implement no-touch data pipelines and integrations, and transform the way our engineering squads deliver by embedding AI-assisted development, modern DevOps practices, and cloud-first design into everything we build. You'll influence and guide a team of data engineers across multiple squads, provide hands-on technical leadership on the most complex initiatives, and serve as the senior engineering voice in cross-functional conversations with architects, platform teams, and business stakeholders.<br>
</p><p></p><p>Responsibilities Include:
</p><ul><li>Define and drive the engineering strategy for the Finance &amp; Actuarial data platform, establishing standards, patterns, and best practices across all squads.
</li><li>Architect and implement no-touch, automated data pipelines and integrations that minimize manual intervention, reduce operational risk, and improve reliability at scale.
</li><li>Lead the adoption of AI-assisted development practices &mdash; including AI-augmented code generation, pipeline automation, anomaly detection, and intelligent data quality monitoring &mdash; to accelerate delivery and reduce toil.
</li><li>Provide hands-on technical leadership on high-complexity initiatives, including cloud migration (Azure Synapse / Databricks / Snowflake), ETL modernization, and replatforming efforts.
</li><li>Evaluate and recommend modern tooling, frameworks, and architectural patterns; build the business case and lead adoption across engineering squads.
</li><li>Partner with the data reliability engineering and enhancement squad leads to ensure engineering standards are embedded in day-to-day delivery &mdash; from design through deployment and operations.
</li><li>Establish CI/CD pipelines, automated testing frameworks, and deployment standards that enable consistent, high-quality releases across Atlas, BAR, CDW, Posting, and Regulatory Reporting.
</li><li>Lead root cause analysis and resolution for the most complex data engineering issues, driving permanent fixes over tactical workarounds.
</li><li>Mentor and develop engineers across squads; build a culture of engineering excellence, continuous improvement, and accountability.
</li><li>Translate complex technical strategies into clear communications for executive stakeholders, including the Head of Data, North America, Head of Data Engineering, North America. and senior business leaders.
</li><li>Maintain and evolve technical documentation, architecture decision records, and engineering runbooks as living assets.
</li><li>Stay current on emerging data engineering technologies and bring relevant innovations into the team's delivery model.</li></ul></div>
<br><div><ul><li>Bachelor's degree required in Computer Science, Computer Information Systems, Information Systems, Information Technology, Computer Engineering, or equivalent work experience.
</li><li>12+ years of progressive data engineering experience, including hands-on ETL/ELT development, data warehouse design, and enterprise data pipeline delivery.
</li><li>8+ years of experience with ETL development tools and concepts, with deep expertise in Informatica / IICS.
</li><li>5+ years of experience with cloud data platforms including Azure (Synapse Analytics, Azure Data Factory, Azure Databricks) and Snowflake.
</li><li>Strong hands-on proficiency in Databricks (Delta Lake, Spark, notebooks, workflows) and Snowflake (data sharing, Snowpark, dynamic tables).
</li><li>3+ years of experience with job scheduling tools such as Autosys or comparable distributed schedulers.
</li><li>3+ years of scripting experience in Python, Shell, or comparable languages for pipeline automation and tooling.
</li><li>Demonstrated ability to architect and deliver no-touch, fully automated data pipelines in an enterprise environment.
</li><li>Proven track record of driving engineering transformation &mdash; adopting modern practices (CI/CD, infrastructure-as-code, automated testing, AI-assisted tooling) in a large, complex data organization.
</li><li>Strong understanding of data warehousing concepts including dimensional modeling, data lineage, data quality frameworks, and enterprise DW architecture.
</li><li>Experience leading or influencing cross-functional engineering teams; prior people management experience a plus.
</li><li>Excellent communication skills &mdash; able to translate engineering complexity into clear, credible language for both technical teams and executive stakeholders.
</li><li>Insurance industry experience preferred; P&amp;C domain knowledge (financial reporting, actuarial data, claims, regulatory/bureau reporting) a strong plus.
</li><li>Location: must be based in New Jersey or the Greater Philadelphia area.
</li></ul><p>The pay range for the role is $152,900 to $221,100. The specific offer will depend on an applicant&rsquo;s skills and other factors. This role may also be eligible to participate in a discretionary annual incentive program. Chubb offers a comprehensive benefits package, more details on which can be found on our careers website. The disclosed pay range estimate may be adjusted for the applicable geographic differential for the location in which the position is filled.</p></div>
<br><div><div>Chubb is a world leader in insurance. With operations in 54 countries, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance, and life insurance to a diverse group of clients. The company is distinguished by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength, underwriting excellence, superior claims handling expertise and local operations globally.<br>
</div><div></div><br>
<div>At Chubb, we are committed to equal employment opportunity and compliance with all laws and regulations pertaining to it. Our policy is to provide employment, training, compensation, promotion, and other conditions or opportunities of employment, without regard to race, color, religious creed, sex, gender, gender identity, gender expression, sexual orientation, marital status, national origin, ancestry, mental and physical disability, medical condition, genetic information, military and veteran status, age, and pregnancy or any other characteristic protected by law. Performance and qualifications are the only basis upon which we hire, assign, promote, compensate, develop and retain employees. Chubb prohibits all unlawful discrimination, harassment and retaliation against any individual who reports discrimination or harassment.</div></div>

AVP, Lead Data Engineer

General Dynamics Information Technology

<p></p><div><div><div><p>Your Impact</p><p>
Own your opportunity to serve as a critical component of our nation&rsquo;s safety and security. Make an impact by using your expertise to protect our country from threats.</p><p>
Job Description</p><div><p>
GDIT is seeking a Data Engineer Expert to serve as a team lead to design, build, and optimize scalable backend and data integration systems. This role requires deep expertise across the full software development lifecycle, from system architecture to deployment, with a focus on data-intensive applications, performance optimization, and cross-platform integration. The ideal candidate thrives in dynamic environments and can deliver high-impact solutions that support mission-critical operation.</p><p></p><p>
The candidate will be required to:</p><ul><li><p>
Provide bug fixes, enhancements, and Graphical User Interface (GUI) improvements to applications to meet operational requirements</p></li><li><p>
Develop and modify application source code, in response to new requirements and requests for change</p></li><li><p>
Provide enhancements to existing access controls and configurations, and monitor applications to meet operational requirements</p></li><li><p>
Develop and deploy software, including in cloud environments</p></li><li><p>
Integrate externally developed code into core libraries</p></li><li><p>
Install and configure application software</p></li><li><p>
Evaluate third party vendors and software partners</p></li><li><p>
Design and develop Representational State Transfer (REST) Application Program Interfaces (APls)</p></li><li><p>
Maintain design of software libraries, including the definition of module APIs, code organization, and compliance in coding standards. This work will emphasize modularity of the libraries, re-use of common code, clean interfaces between the subsystems and integrity of design</p></li><li><p>
Provide ad-hoc user training to potential, new, and existing customers</p></li><li><p>
Work with the configuration manager to ensure the integration of externally developed software into core software libraries</p></li><li><p>
Develop, as assigned, a wide range of software to run on the Sponsor's networks. The software libraries include but are not limited to audio/video, image processing algorithms, OS and file systems, and device drivers</p></li><li><p>
Assist the Sponsor in developing specific standards, methods, or procedures to determine product quality release or release readiness</p></li><li><p>
Adhere to Configuration Management standards and practices for software and infrastructure.</p></li><li><p>
Conduct testing at all levels of the software development life cycle, to include regression testing, and adhere to strict testing procedure</p></li></ul><p></p><p>
Desired Technical Capabilities:</p><ul><li><p>
Demonstrated expertise in one of the following: Java, Python, Angular, Java Script, Go, or equivalent</p></li><li><p>
Demonstrated expertise in building and optimizing ETL pipelines using frameworks such as Elastic Search, Kafka, and Airflow</p></li><li><p>
Demonstrated experience with REST APIs</p></li><li><p>
Hands on experience with AWS</p></li><li><p>
Experience with Docker/Kubernetes</p></li><li><p>
Experience building data products in Apache Avro</p></li><li><p>
Strong analytical, troubleshooting, and communication skills.</p></li></ul><p></p><p>
Education and Experience:</p><ul><li><p>
BS in Computer Science or related field, or the equivalent combination of education, technical certifications or training, or work experience</p></li><li><p>
15+ years of relevant experience</p></li></ul><div><br>
GDIT IS YOUR PLACE<br>
At GDIT, the mission is our purpose, and our people are at the center of everything we do.<br>
<ul><li>Growth: AI-powered career tool that identifies career steps and learning opportunities</li><li>Support: An internal mobility team focused on helping you achieve your career goals</li><li>Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off</li><li>Community: Award-winning culture of innovation and a military-friendly workplace</li></ul><br>
OWN YOUR OPPORTUNITY<br>
Explore a career in data science and engineering at GDIT and you&rsquo;ll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges.</div><p></p><p>
#WeAreGDIT<br>
#JET<br>
#GDITEnhanced2026<br>
#VA_2026Alumni</p>
</div></div><div><div><div><p>Work Requirements</p></div></div><div></div><div><div>
Years of Experience<div>
15 + years of related experience</div><ul><li>may vary based on technical training, certification(s), <i>or</i> degree</li></ul></div><div></div><div>
Certification</div><p></p><div>
Travel Required<div>
None</div></div><div></div><div>
Citizenship<div>
U.S. Citizenship Required</div></div></div></div></div><div><p>
Salary and Benefit Information</p><div>
The likely salary range for this position is $208,250 - $281,750. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.<br>
View information about benefits and our total rewards program.</div><p>
Our Identity Verification Process</p><div>
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.</div><p>
About Our Work</p><div>
We are GDIT. A global technology and professional services company that delivers technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across over 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, cloud, cyber and application development. Together with our customers, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.</div><div>
Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc.</div><div><i>
Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans</i></div></div></div>

Lead Data Engineer - TS/SCI with Polygraph

BAE Systems USA

<div><b>Job Description<br>
</b><br>
<p>BAE Systems has an opportunity to support open source intelligence and requires a fully-cleared Lead Data Design Engineer available. This individual is responsible for the technical design and architecture of the project, leading the team in providing technical solutions to meet Customer requirements. In this capacity, he/she directs the integration of architectural best practices and ensures the development of technical documentation. The best candidate will have experience designing, developing, and documenting collection capabilities and services in the cloud. He/she will have the opportunity to utilize emerging AI/ML technologies to design and implement solutions that enhance security, agility, and effectiveness of open source collection capabilities.<br>
</p><br>
<br>
<b>Required Education, Experience, &amp; Skills
</b><br>
<ul><li>Bachelors degree and 10+ years of overall relevant experience</li><li>
7+ years of architecture experience designing, developing and documenting collection capabilities and services in the cloud</li><li>
5+ years experience driving innovation and optimization in the design, development, and deployment of collection capabilities
</li>Ability to demonstrate knowledge of emerging technologies, (such as artificial intelligence, machine learning, and cloud computing), to architect and lead the implementation of collection solutions that enhance the security, agility, and effectiveness of collection capabilities.<br>
<li>
</li></ul><br>
<br>
<b>Preferred Education, Experience, &amp; Skills
</b><br>
<ul><li>7+ years of architecture experience designing, developing, and documenting OSE specific collection capabilities and services in the cloud</li><li>
Demonstrated knowledge of emerging technologies, such as artificial intelligence, machine learning, and cloud computing, to architect and lead the implementation of collection solutions that enhance the security, agility, and effectiveness of the OSE-specific collection mission.</li></ul><br>
<b>
Pay Information</b><br>
Full-Time Salary Range: $149603 - $254317<br>
<br>
Please note: This range is based on our market pay structures. However, individual salaries are determined by a variety of factors including, but not limited to: business considerations, local market conditions, and internal equity, as well as candidate qualifications, such as skills, education, and experience.
<br>
<br>
Employee Benefits: At BAE Systems, we support our employees in all aspects of their life, including their health and financial well-being. Regular employees scheduled to work 20+ hours per week are offered: health, dental, and vision insurance; health savings accounts; a 401(k) savings plan; disability coverage; and life and accident insurance. We also have an employee assistance program, a legal plan, and other perks including discounts on things like home, auto, and pet insurance. Our leave programs include paid time off, paid holidays, as well as other types of leave, including paid parental, military, bereavement, and any applicable federal and state sick leave. Employees may participate in the company recognition program to receive monetary or non-monetary recognition awards. Other incentives may be available based on position level and/or job specifics.<br>
<br>
<b>About BAE Systems Intelligence &amp; Security
</b><br>
BAE Systems, Inc. is the U.S. subsidiary of BAE Systems plc, an international defense, aerospace and security company which delivers a full range of products and services for air, land and naval forces, as well as advanced electronics, security, information technology solutions and customer support services. Improving the future and protecting lives is an ambitious mission, but it&rsquo;s what we do at BAE Systems. Working here means using your passion and ingenuity where it counts &ndash; defending national security with breakthrough technology, superior products, and intelligence solutions. As you develop the latest technology and defend national security, you will continually hone your skills on a team&mdash;making a big impact on a global scale. At BAE Systems, you&rsquo;ll find a rewarding career that truly makes a difference.<br>
<br>
Intelligence &amp; Security (I&amp;S), based in McLean, Virginia, designs and delivers advanced defense, intelligence, and security solutions that support the important missions of our customers. Our pride and dedication shows in everything we do&mdash;from intelligence analysis, cyber operations and IT expertise to systems development, systems integration, and operations and maintenance services. Knowing that our work enables the U.S. military and government to recognize, manage and defeat threats inspires us to push ourselves and our technologies to new levels.<br>
<br>
This position will be posted for at least 5 calendar days. The posting will remain active until the position is filled, or a qualified pool of candidates is identified.</div>

Lead Data Design Engineer

Edenred

<div><p>Take a step forward and let Edenred surprise you.
</p><p>Every day, we deliver innovative solutions to improve the life of millions of people, connecting employees, companies, and merchants all around the world.
</p><p>We know there are hundred ways for you to grow. With us, you will expand your skills in a multicultural, challenging, and dynamic environment.
</p><p></p><p><b>Dare to join Edenred and get ready to thrive in a global company that will offer you endless opportunities.
</b></p><p></p><p>Edenred is all about meritocracy. You come as you are, and you contribute. Indeed, the Edenred Group recognizes, recruits and develops all talents and singularities.
</p><p>We are committed to preventing all forms of discrimination and to providing all our candidates with equal opportunities regardless of their gender and gender expression, disability, origin, religious belief and sexual orientation or any other criteria.
</p><p></p><ul><li>The Role
</li></ul><p></p><p>We&rsquo;re looking for a Data Engineer Lead to architect, build, and scale the next generation of our data platform from the ground up. This role is ideal for someone who thrives in highimpact‑ environments, enjoys solving complex technical challenges, and wants to shape the long‑term data strategy of a fast‑growing business. You&rsquo;ll work closely with engineering, product, analytics, and business teams to design modern data foundations that enable reliable insights, advanced analytics, and innovation across the organization. This is a unique opportunity to own the full lifecycle of our data ecosystem and influence how data powers decision‑making at scale.
</p><ul><li>Responsibilities
<br>
</li></ul><ul><li>Lead the end‑to‑end design, development, and scaling of a modern data platform on Azure and Databricks.
</li><li>Build, optimize, and maintain robust data pipelines and architectures supporting analytics, reporting, and advanced data products.
</li><li>Define and enforce best practices for data modeling, governance, quality, and security across all environments.
</li><li>Partner with cross‑functional teams to understand business needs and translate them into scalable technical solutions.
</li><li>Mentor and guide data engineers, fostering strong engineering standards, code quality, and operational excellence.
</li><li>Oversee platform performance, reliability, and cost efficiency, proactively identifying areas for improvement.
</li><li>Drive continuous innovation by evaluating new tools, technologies, and architectural approaches.
</li></ul><ul><li>YOUR PROFILE
 </li></ul><p></p><ul><li>7+ years of experience in data engineering, including at least 3 years in a senior or lead role.
</li><li>Proven experience designing and building a data platform from scratch in Azure and Databricks environments.
</li><li>Deep expertise in Azure Data Lake Storage, Databricks, Unity Catalog, Delta Lake, and Azure Data Factory (Certified Data Engineer by Azure/Certified Data Engineer Databricks is a plus)
</li><li>Strong proficiency in Python, PySpark, and SQL, with handson experience processing largescale datasets.
 </li><li>Solid understanding of data modeling, Medallion Architecture, and bestinclass data governance practices.
</li><li>Experience leading technical teams, setting engineering standards, and mentoring others.
</li><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Statistics,Mathematics, or a related field&mdash;or equivalent practical experience.
</li><li>A collaborative, proactive problemsolver with strong communication skills and the ability to work effectively across diverse teams.
</li></ul><ul><li>REPORTING STRUCTURE:
</li></ul><p></p><p>The selected candidate will report directly to the Data Manager who is responsible for ensuring that projects and applications are managed appropriately.
</p><ul><li>The Data Engineer Lead will work closely with engineering, product, IT, and business stakeholders to design and scale the data platform that underpins analytics, reporting, and advanced data products across the organization. This role requires strong partnership with data analysts, data scientists, and domain experts to ensure data solutions are aligned with business needs and deliver measurable impact. The selected candidate will report directly to the Data Manager and will play a key role in guiding technical decisions, influencing data strategy, and ensuring that data initiatives are executed effectively and collaboratively.
</li></ul><p></p><p><b>Apply now and Vibe with Us!</b></p></div><p></p>

Data Engineer Lead

giftHEALTH

<div><h2 class="jobSectionHeader"><b>About Us</b></h2><p>
At Gifthealth, we're revolutionizing the way people experience healthcare by simplifying the process of managing prescriptions and health services. Our mission is to provide a seamless, personalized, and efficient healthcare experience for all our customers. We're a dynamic, innovative, and customer-centric company dedicated to making a positive impact on people's lives.</p><h3 class="jobSectionHeader"><b><br>
Position Summary</b></h3><p>
The Sr. Data Engineer is responsible for leading the design and architecture of Gifthealth's most critical data pipelines and platform components, establishing technical standards, and mentoring the broader engineering team. The ideal candidate has 6+ years of data engineering experience with demonstrated senior-level ownership, expert command of SQL, Python, and dbt, and the communication skills to align both technical and non-technical stakeholders on complex problems.</p><h3 class="jobSectionHeader"><b><br>
Key Responsibilities</b></h3><ul><li>
Lead the design and architecture of our most critical data pipelines and data platform components</li><li>
Set technical standards and best practices that elevate the entire data team</li><li>
Mentor and support junior and mid-level engineers through code reviews, pair programming, and knowledge sharing</li><li>
Own the health, scalability, and reliability of our orchestration infrastructure</li><li>
Partner with engineering, analytics, and leadership to shape the roadmap for our data platform</li><li>
Evaluate and introduce new tools and technologies to keep our stack modern and effective</li><li>
Ensure compliance and confidentiality of Personal Health Information across all data</li></ul><h3 class="jobSectionHeader"><b>
Qualifications</b></h3><ul><li><b>
Education</b>: Bachelor's Degree in mathematics, statistics, computer science, or other quantitative field and relevant work experience as a Senior Data Engineer</li><li><b>
Experience</b>: 6+ years of experience as a Data Engineer, with demonstrated senior-level ownership</li><li><b>
Skills</b>:
<ul><li>6+ years of experience as a Data Engineer, with demonstrated senior-level ownership</li>
<li>Expert proficiency in SQL and Python, with deep experience in Airflow or a comparable orchestrator</li>
<li>Strong track record with dbt, modern data warehouse platforms, and CI/CD pipelines</li>
<li>Experience mentoring engineers and contributing to team standards and culture</li>
<li>Ability to navigate ambiguity, make sound technical decisions, and drive projects to completion</li>
<li>Experience with AWS, Fivetran, and automated testing; Ruby experience is a plus</li>
<li>Excellent communication skills &mdash; you can align technical and non-technical stakeholders on complex problems</li>
<li>An excitement about what data can do for healthcare and patients</li>
</ul></li></ul><h3 class="jobSectionHeader"><b>Work Environment</b></h3><ul><li><b>
Location</b>: Remote</li></ul><h3 class="jobSectionHeader"><b>
Employment Classification</b></h3><p><b>
Status:</b> Full-time<br>
<b>FLSA:</b> Exempt</p><h3 class="jobSectionHeader"><b>
Equal Employment Opportunity (EEO) Statement</b></h3><p>
Gifthealth is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. All employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, transgender status, national origin, age, disability, veteran status, or any other legally protected status.</p><h2 class="jobSectionHeader"><b><br>
Disclaimer</b></h2><p>
This job description is intended to describe the general nature and level of work being performed. It is not intended to be an exhaustive list of all responsibilities, duties, or skills required of personnel.Gifthealth reserves the right to modify job duties or descriptions at any time.</p></div>

Senior Data Engineer

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