Remote Senior Staff Data Engineer Jobs
Remote Senior Staff Data Engineer jobs are in active demand across the U.S., with remote-first firms and distributed engineering teams hiring for senior staff roles in technology, financial services, and healthcare. Companies hiring remotely right now include Airbnb, Radar Labs, and Capital One. See the openings below and apply to the ones that match your experience.
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Alkami is the digital sales and service platform provider for U.S. banks and credit unions. Our unified Platform integrates onboarding, digital banking, and data and marketing—each solution can stand alone, but together they deliver more—to help institutions onboard, engage, and grow relationships. As the future shifts toward Anticipatory Banking, we help data-informed bankers meet the moment with technology that drives action.
Founded in 2009, we continue to be recognized for our intentional culture and tremendous growth (Best Place to Work in Fintech; Best & Brightest to Work For Nationally; and Comparably’s Best Company Culture, Best Career Growth, Best Engineering Team, and Best Places to Work in Dallas, among others). We’re building a culture where each Alkamist can perform to their highest potential, and we’re always on the lookout for the best and brightest minds. If you’re ready to experience the power of alchemy - transforming the ordinary into the extraordinary - come join one of the fastest growing SaaS companies in the U.S.
As a remote-first company, most of our positions can be remote in the US, except for key roles, which will be indicated in the Job Title.
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methodologies, and contributes to organizational strategy through leadership of transformational migration initiatives, scalable operational frameworks, and enterprise conversion best practices.
Essential Duties & Responsibilities
Lead the organization’s most complex and strategic data migration initiatives by directing enterprise-scale customer conversion programs, coordinating cross-functional delivery activities, and ensuring successful onboarding outcomes across high-impact implementation engagements- Serve as the senior migration advisor for executive customer stakeholders by guiding strategic conversion planning, resolving escalated migration challenges, and aligning migration outcomes with customer operational and business objectives
- Drive enterprise migration strategy by balancing operational priorities, data conversion methodologies, resource planning, implementation timelines, and customer readiness requirements across multiple strategic migration engagements
- Influence organizational migration governance and standards by developing scalable migration frameworks, validation methodologies, reconciliation processes, reporting practices, and operational best practices that improve migration consistency and long-term delivery effectiveness
- Partner with executive leadership across Implementation, Technical Consulting, Engineering, Product, and Operations by aligning migration priorities, mitigating operational risks, and supporting strategic customer onboarding initiatives related to enterprise data conversion efforts
- Lead resolution efforts for critical migration escalations by analyzing complex data conversion failures, operational impacts, system dependencies, and customer risks and directing cross-functional mitigation and corrective action strategies
- Guide migration forecasting, operational capacity planning, and portfolio oversight activities by evaluating migration trends, organizational constraints, customer demands, and implementation priorities to support scalable growth and delivery optimization
- Provide thought leadership on enterprise migration architecture, banking data transformation practices, and operational scalability initiatives by identifying emerging migration challenges and recommending strategic solutions that improve conversion quality and customer experience
- Facilitate executive-level communication and stakeholder alignment by presenting migration health metrics, operational risks, portfolio insights, reconciliation outcomes, and strategic recommendations to leadership and customer executives
- Drive operational transformation initiatives by leading process modernization, automation strategy, tooling enhancements, and workflow redesign efforts that reduce manual effort, improve migration reliability, and enhance implementation scalability
- Develop enterprise migration governance and visibility practices by establishing operational metrics, reconciliation standards, reporting frameworks, escalation models, and portfolio health indicators that support organizational decision-making and delivery oversight
- Mentor and influence senior migration engineers and technical implementation teams by providing guidance on strategic migration planning, enterprise troubleshooting methodologies, operational governance, and scalable conversion practices
- Support strategic customer success initiatives by partnering with customer stakeholders to proactively address migration concerns, align onboarding strategies, and improve long-term implementation outcomes and operational readiness
- Analyze enterprise migration portfolio performance by identifying systemic conversion challenges, operational inefficiencies, customer risks, and scalability limitations and recommending strategic improvements that strengthen migration operations across the organization
- Contribute to organizational strategy and business growth initiatives by influencing migration policies, operational priorities, customer onboarding approaches, and cross-functional delivery alignment that improve enterprise implementation effectiveness and customer satisfaction
Recommended Experience & Education
Minimum Years of Experience
10–15 years of experience leading enterprise data migration programs, banking systems conversion initiatives, technical implementation operations, or strategic customer onboarding engagements within SaaS, fintech, banking technology, or
related technical environments, including experience managing executive stakeholder relationships and organizational migration transformation efforts.
Education Level
Bachelor’s degree in Information Systems, Computer Science, Data Analytics, Information Technology, or a related field.
Knowledge, Skills, & Qualifications
Required
Deep expertise in enterprise data migration architecture, banking systems conversion, and operational transformation methodologies- Advanced ability to lead complex migration initiatives involving executive stakeholders, cross-functional operational dependencies, and large-scale customer onboarding efforts
- Strong knowledge of banking data ecosystems, migration governance practices, reconciliation methodologies, and implementation delivery operations
- Experience influencing organizational migration strategy, operational scalability initiatives, and enterprise implementation best practices
- Exceptional communication and stakeholder management skills across executive, technical, operational, and customer audiences
- Strong analytical and problem-solving skills related to enterprise migration risk management, operational optimization, and delivery transformation
- Experience developing enterprise migration reporting frameworks, operational standards, validation practices, and governance methodologies
- Recognized leadership and subject matter expertise in strategic migration delivery, banking data conversion operations, and enterprise onboarding practices
Preferred
Experience supporting enterprise fintech, SaaS, or digital banking migration portfolios- Experience leading operational transformation, migration automation, or implementation scalability initiatives
- Knowledge of SQL, ETL frameworks, scripting, automation tooling, or advanced data transformation architectures
- Familiarity with enterprise onboarding methodologies, banking integration ecosystems, or organizational change management initiatives
- Experience mentoring senior migration engineers, implementation leaders, or cross-functional technical teams
- Experience supporting executive customer escalations, strategic banking conversions, or enterprise transformation initiatives
Cool Things to Know
Not Just Any Company: Alkami has an awesome diverse and inclusive environment. We have a FUN culture and offer great benefits, including remote-first environment, unlimited paid time off, 401(k) with employer match, and more.
Work Authorization: We cannot offer employment sponsorship at this time. Candidates must be eligible to work in the US for full-time employment.
Recruiters: We are not looking for outside recruiting firms to help us in this search. Thank you for understanding.
Pay Transparency: As of January 1, 2023, new states and locales have enacted pay equity laws that require more pay transparency by employers in the following states: California, Colorado (effective January 1, 2021), Connecticut, Maryland, Nevada, New Jersey, New York, Ohio, Rhode Island and Washington.
The Important Stuff
Alkami Technology is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind: Alkami is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Alkami are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. Alkami will not tolerate discrimination or harassment based on any of these characteristics. Alkami encourages applicants of all ages.
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Who's Hiring



Top Industries Hiring
- Hospitality & Tourism
- Technology & Software
What Employers Look For
The qualifications that appear most often in remote senior staff data engineer jobs.
- 8 or more years of experience building and maintaining large-scale data pipelines
- Deep proficiency with distributed processing frameworks such as Apache Spark or Flink
- Experience designing data platform architecture including lakes, warehouses, and mesh patterns
- Fluency in Python or Scala alongside SQL for transformation and orchestration work
- Hands-on experience with cloud data services on AWS, GCP, or Azure
- Demonstrated ability to lead technical design reviews and mentor senior engineers
Tips for Your Remote Senior Staff Data Engineer Job Search
Show async communication as a skill
Remote senior staff data engineers are evaluated on written clarity as much as technical depth. Document a past architectural decision or data system design in long-form and link it from your resume or application materials so hiring managers can assess your async communication directly.
Apply early to remote roles that fit
Migrate Mate lists remote senior staff data engineer openings from across the U.S. in one place, so you can find roles that match your stack and experience level and apply directly without sorting through location-filtered results.
Highlight distributed team leadership experience
Remote employers at the senior staff level prioritize candidates who have led data teams across time zones. Call out specific examples of cross-functional collaboration, async code review practices, and mentorship of remote engineers in your application materials.
Prepare for systems design in remote interviews
Remote senior staff data engineer interviews lean on virtual whiteboarding and shared documents for systems design rounds. Practice walking through pipeline architecture and data modeling decisions using collaborative diagramming tools, narrating your thinking clearly as you go.
Remote Senior Staff Data Engineer Jobs: Frequently Asked Questions
How do I get a remote senior staff data engineer job?
Target remote-first companies and distributed engineering organizations that have built infrastructure around async collaboration, since those employers hire senior staff data engineers remotely most consistently. Remote hiring managers screen heavily for self-direction, clear written communication, and ownership of large-scale data systems without in-person oversight. Demonstrating experience leading distributed data teams, designing production pipelines, and documenting architectural decisions gives candidates a concrete edge in remote interviews.
Which companies hire remote senior staff data engineers?
Companies hiring remote senior staff data engineers right now include Airbnb, Radar Labs, and Capital One, based on current remote listings on Migrate Mate as of November 2026. Remote senior staff data engineer roles concentrate at remote-first technology firms, distributed fintech and data platform companies, and large-scale healthcare and SaaS organizations that run engineering teams across multiple time zones.
Can you get a remote senior staff data engineer job with no experience?
Yes, but remote senior staff data engineer roles are harder to land without experience because these positions expect independent technical leadership from day one with minimal supervision. Entry paths include contributing to open-source data infrastructure projects, building a public portfolio of end-to-end pipeline work, and targeting early-stage remote-first startups that weigh demonstrated output over years of tenure.
Do you need a degree for remote senior staff data engineer jobs?
Not always. Remote employers hiring at the senior staff level weigh demonstrated technical depth, measurable system impact, and engineering portfolio work heavily alongside or instead of a formal degree. Candidates who can show ownership of large-scale distributed data systems, published work, or open-source contributions routinely advance through remote hiring processes without a four-year computer science credential.
Which industries hire the most remote senior staff data engineers?
The sectors hiring the most remote senior staff data engineers are Hospitality & Tourism and Technology & Software, based on current remote listings on Migrate Mate as of November 2026. Those sectors rely on distributed engineering teams managing high-volume data infrastructure across geographies, making senior staff data engineers well suited to fully remote arrangements.
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