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Jobgether

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Data Engineering Manager

Location

United States

Posted

76 days ago

Salary

0

Seniority

Lead

Job Description

Data Engineering Manager

Jobgether

Role Description This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Manager, Data Engineering - REMOTE. In this strategic role, you will lead the initiatives that bridge the critical functions of data engineering with our Go-to-Market (GTM) approach. Your expertise will be essential in driving the architecture that enables business growth through data-driven decisions. You will directly collaborate with marketing and sales leaders to enhance operational efficiencies. This position not only offers you the chance to innovate and lead but also to impact real-world business outcomes. Join a dedicated team where your contributions will be valued and recognized as we redefine financial automation. - Lead GTM Data Enablement strategy and roadmap; translate business goals into scalable technical plans and measurable outcomes. - Own the vision and architecture for our CDP and product instrumentation to deliver real-time, reliable event data to GTM systems. - Build and maintain the ‘paved path’ from data lake/warehouse to GTM tools, enabling audience segmentation, activation, and customer 360. - Drive end-to-end data orchestration and quality for GTM use cases. - Manage, coach, and grow a team of GTM enablement engineers; instill a culture of accountability and innovation. - Collaborate closely with Data Platform/Infra to leverage the enterprise source of truth while meeting performance goals. - Partner with GTM leaders to prioritize high ROI initiatives and communicate progress effectively. Qualifications - 10+ years in data engineering or analytics with experience supporting Marketing, Sales, or Growth operations. - Proven leadership in building and leading technical teams in a fast-paced SaaS environment. - Expertise in GTM data concepts like event instrumentation, lead scoring, attribution, and campaign activation. - Strong ability to translate complex technical solutions into business value for non-technical partners. - Hands-on experience with modern data platforms/architectures and CDP ecosystems. - Demonstrated success in delivering real-time data pipelines and audience activation across GTM tools. Benefits - 100% paid employee health, dental, and vision plans. - HSA & FSA accounts. - Life Insurance and disability coverage. - Employee Assistance Program (EAP). - 11+ Observed holidays, wellness days, and flexible time off. - Employee Stock Purchase Program with discounts. - Wellness and fitness initiatives. - Employee recognition and referral programs. - And much more.

Job Requirements

  • 10+ years in data engineering or analytics with experience supporting Marketing, Sales, or Growth operations.
  • Proven leadership in building and leading technical teams in a fast-paced SaaS environment.
  • Expertise in GTM data concepts like event instrumentation, lead scoring, attribution, and campaign activation.
  • Strong ability to translate complex technical solutions into business value for non-technical partners.
  • Hands-on experience with modern data platforms/architectures and CDP ecosystems.
  • Demonstrated success in delivering real-time data pipelines and audience activation across GTM tools.

Benefits

  • 100% paid employee health, dental, and vision plans.
  • HSA & FSA accounts.
  • Life Insurance and disability coverage.
  • Employee Assistance Program (EAP).
  • 11+ Observed holidays, wellness days, and flexible time off.
  • Employee Stock Purchase Program with discounts.
  • Wellness and fitness initiatives.
  • Employee recognition and referral programs.
  • And much more.

Related Categories

Related Job Pages

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Jobgether logo

Lead Data Engineering Manager

Jobgether

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Data Engineer76 days ago
Full TimeRemoteH1B No Sponsor

Role Description This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Manager, Data Engineering - REMOTE. In this strategic role, you will lead the initiatives that bridge the critical functions of data engineering with our Go-to-Market (GTM) approach. Your expertise will be essential in driving the architecture that enables business growth through data-driven decisions. You will directly collaborate with marketing and sales leaders to enhance operational efficiencies. This position not only offers you the chance to innovate and lead but also to impact real-world business outcomes. Join a dedicated team where your contributions will be valued and recognized as we redefine financial automation. Accountabilities - Lead GTM Data Enablement strategy and roadmap; translate business goals into scalable technical plans and measurable outcomes. - Own the vision and architecture for our CDP and product instrumentation to deliver real-time, reliable event data to GTM systems. - Build and maintain the ‘paved path’ from data lake/warehouse to GTM tools, enabling audience segmentation, activation, and customer 360. - Drive end-to-end data orchestration and quality for GTM use cases. - Manage, coach, and grow a team of GTM enablement engineers; instill a culture of accountability and innovation. - Collaborate closely with Data Platform/Infra to leverage the enterprise source of truth while meeting performance goals. - Partner with GTM leaders to prioritize high ROI initiatives and communicate progress effectively. Qualifications - 10+ years in data engineering or analytics with experience supporting Marketing, Sales, or Growth operations. - Proven leadership in building and leading technical teams in a fast-paced SaaS environment. - Expertise in GTM data concepts like event instrumentation, lead scoring, attribution, and campaign activation. - Strong ability to translate complex technical solutions into business value for non-technical partners. - Hands-on experience with modern data platforms/architectures and CDP ecosystems. - Demonstrated success in delivering real-time data pipelines and audience activation across GTM tools. Benefits - 100% paid employee health, dental, and vision plans. - HSA & FSA accounts. - Life Insurance and disability coverage. - Employee Assistance Program (EAP). - 11+ Observed holidays, wellness days, and flexible time off. - Employee Stock Purchase Program with discounts. - Wellness and fitness initiatives. - Employee recognition and referral programs. - And much more.

United States
Job Closed
OtherRemoteTeam 10,001+Since 1954H1B Sponsor

Type of Requisition: Regular Clearance Level Must Currently Possess: None Clearance Level Must Be Able to Obtain: None Public Trust/Other Required: None Job Family: Data Science and Data Engineering Job Qualifications: Skills: Business Functions, Data Science, Data SolutionsCertifications: NoneExperience: 5 + years of related experienceUS Citizenship Required: No Job Description: Own your opportunity to turn data into measurable outcomes for our customers’ most complex challenges. As a Data Engineer at GDIT, you’ll power innovation to drive mission impact and grow your expertise to power your career forward. We are a fast-growing AI and Data team within the Global CIO organization at GDIT. We design and deliver enterprise-grade solutions that integrate AI, data, and human-AI collaboration workflows across key business functions (e.g., Growth, Finance, HR, Legal, and Supply Chain). We are looking for a highly skilled Data Engineer (Agentic AI) who shares a passion for delivering data engineering for agentic AI applications and building an AI-first data ecosystem foundational to enterprise AI transformation. MEANINGFUL WORK AND PERSONAL IMPACT: - Design, build, and operate scalable end-to-end data pipelines and curated data products that support enterprise analytics and agentic AI use cases - Integrate data from enterprise systems and external sources, including structured, semi-structured, and unstructured data - Deliver reliable data services for agentic AI workflows, including APIs, retrieval/indexing, and governed context delivery for AI agents - Implement data quality, observability, and governance best practices across data pipelines and products - Optimize performance and cost across storage, compute, orchestration, and serving layers - Collaborate with cross-functional teams, including business stakeholders, AI engineers, and software developers, to translate requirements into production solutions WHAT YOU’LL NEED TO SUCCEED Bring your expertise and drive for innovation to GDIT. The Data Engineer must have: - Education: Bachelor’s degree in Computer Science/Engineering, Data Science, or a related field - Experience: 5+ years of experience delivering production-grade data engineering across databases, data integration, data services, and data governance - Role requirements: - Proficiency in programming languages (Python or Java) and databases (SQL and NoSQL). - Strong collaboration and communication skills in cross-functional enterprise environments. - Preferred Skills and Abilities: - Master’s degree in Computer Science/Engineering, Data Science, or a related field. Relevant certifications in Data Engineering, AI, or Cloud. - Experience delivering data engineering for agentic AI applications. - Experience with retrieval-based AI data foundations (document processing, metadata, embeddings, vector or hybrid search). - Familiarity with agent workflows and how agents interact with data services and tools in production. Experience with lakehouse architectures and cloud data platforms such as Azure (preferred), OCI (preferred), or AWS. - Experience in real-time streaming applications or other high-velocity solutions. - Experience leveraging AI tools to improve data engineering productivity and quality in coding, testing, and documentation. - Location: Remote - US Persons required GDIT IS YOUR PLACE At GDIT, the mission is our purpose, and our people are at the center of everything we do. - Growth: AI-powered career tool that identifies career steps and learning opportunities - Support: An internal mobility team focused on helping you achieve your career goals - Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off - Flexibility: Full-flex work week to own your priorities at work and at home - Community: Award-winning culture of innovation and a military-friendly workplace OWN YOUR OPPORTUNITY Explore a career in data science and engineering at GDIT and you’ll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges. The likely salary range for this position is $119,000 - $161,000. 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. Scheduled Weekly Hours: 40 Travel Required: 10-25% Telecommuting Options: Remote Work Location: Any Location / Remote Additional Work Locations: Total Rewards at GDIT: Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee’s date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most. We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology. Join our Talent Community to stay up to date on our career opportunities and events atgdit.com/tc. Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

United States
$119K - $161K / year
Job Closed
OtherRemoteTeam 10,001+H1B Sponsor

Discover Vanderbilt University Medical Center: Located in Nashville, Tennessee, and operating at a global crossroads of teaching, discovery, and patient care, VUMC is a community of individuals who come to work each day with the simple aim of changing the world. It is a place where your expertise will be valued, your knowledge expanded, and your abilities challenged. Vanderbilt Health is committed to an environment where everyone has the chance to thrive and where your uniqueness is sought and celebrated. It is a place where employees know they are part of something that is bigger than themselves, take exceptional pride in their work and never settle for what was good enough yesterday. Vanderbilt’s mission is to advance health and wellness through preeminent programs in patient care, education, and research. Organization: HealthIT Data Platform Services Job Summary: The Data Platform Services team is seeking a Data Engineer with an inquisitive and analytical mindset to join our data engineering team. In your role, you will be responsible for developing, maintaining, and optimizing our cloud-based data infrastructure, as well as designing and implementing efficient data extraction and ingestion processes. You will also be responsible for working with stakeholders to identify data needs, investigating opportunities to improve platform scalability, building generic solutions for patterned problems, and ensuring data accuracy and integrity. . 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The strong collaboration among our teams means that VUMC can respond to clinical and operational issues with agility and innovation. Together, we ensure VUMC remains a leader in its pioneering use of healthcare information technology. Underscoring our entire department are our core values of accountability, transparency and execution, delivered with a strong Partner Promise. Position Shift: Days Our professional administrative functions include critical supporting roles in information technology and informatics, finance, administration, legal and community affairs, human resources, communications and marketing, development, facilities, and many more. At our growing health system, we support each other and encourage excellence among all who are part of our workforce. High-achieving employees stay at Vanderbilt Health for professional growth, appreciation of benefits, and a sense of community and purpose. Core Accountabilities: Organizational Impact: Executes job responsibilities with the understanding of how output would affect and impact other areas related to own job area/team with occasional guidance. Problem Solving/ Complexity of work: Analyzes moderately complex problems using technical experience and judgment. Breadth of Knowledge: Has expanded knowledge gained through experience within a professional area. Team Interaction: Provides informal guidance and support to team members. Core Capabilities : Supporting Colleagues:- Develops Self and Others: Invests time, energy, and enthusiasm in developing self/others to help improve performance e and gain knowledge in new areas.- Builds and Maintains Relationships: Maintains regular contact with key colleagues and stakeholders using formal and informal opportunities to expand and strengthen relationships.- Communicates Effectively: Recognizes group interactions and modifies one's own communication style to suit different situations and audiences. Delivering Excellent Services:- Serves Others with Compassion: Seeks to understand current and future needs of relevant stakeholders and customizes services to better address them.- Solves Complex Problems: Approaches problems from different angles; Identifies new possibilities to interpret opportunities and develop concrete solutions.- Offers Meaningful Advice and Support: Provides ongoing support and coaching in a constructive manner to increase employees' effectiveness. Ensuring High Quality: - Performs Excellent Work: Engages regularly in formal and informal dialogue about quality; directly addresses quality issues promptly.- Ensures Continuous Improvement: Applies various learning experiences by looking beyond symptoms to uncover underlying causes of problems and identifies ways to resolve them. - Fulfills Safety and Regulatory Requirements: Understands all aspects of providing a safe environment and performs routine safety checks to prevent safety hazards from occurring. Managing Resources Effectively: - Demonstrates Accountability: Demonstrates a sense of ownership, focusing on and driving critical issues to closure.- Stewards Organizational Resources: Applies understanding of the departmental work to effectively manage resources for a department/area.- Makes Data Driven Decisions: Demonstrates strong understanding of the information or data to identify and elevate opportunities. 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United States
Job Closed
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AWS Data Engineer

Apex Systems

Apex Systems, an IT staffing and workforce solutions firm, provides recruiting and staffing services to large and small companies alike. Founded in 1995 by thre

Data Engineer76 days ago

Design and maintain scalable AWS data pipelines, implement ETL processes, and ensure data quality and security while collaborating with cross-functional teams to meet data requirements and optimize performance.

Arizona