Remote Data Engineering Lead Jobs
Remote Data Engineering Lead jobs are open across the U.S. at remote-first firms, distributed tech teams, and enterprise organizations in sectors like software, fintech, healthcare, and e-commerce. Employers hiring remote data engineering leads right now include AECOM, New York City Department of Health and Mental Hygiene, and C1. See the openings below and apply to the ones that match your experience.
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Showing 5 of 17+ Remote Data Engineering Lead jobs
Fidelity will not provide immigration sponsorship for this position.
Job Description:
The Role
Are you passionate about building the platforms that power the future of workforce intelligence? We are seeking a hands-on Director of Data Engineering to help design and scale the data, graph, and AI foundations behind our workforce intelligence platform. This senior individual contributor role combines architecture, engineering, and platform development while remaining deeply hands-on in coding and solution delivery. You will partner with data scientists, machine learning engineers, and business leaders while building capabilities that enable innovative analytics and AI-powered experiences.
The Expertise and Skills You Bring
You bring deep expertise in modern data engineering and platform architecture, along with a passion for building scalable, reliable, and secure data ecosystems.
Data and Platform Engineering
- Designing and implementing cloud-native data platforms and services.
- Building scalable APIs, pipelines, and data products using technologies such as Python, SQL, AWS, and modern cloud-native tooling.
- Working with containerized workloads, orchestration frameworks, distributed processing technologies, and software engineering best practices.
Graph and AI Foundations
- Developing graph-based solutions and connected-data architectures.
- Supporting machine learning, embedding, vector search, and AI workloads.
- Enabling workforce intelligence products through scalable platforms and services.
Representative Technologies
- Python
- SQL
- AWS
- Neo4j (preferred)
- Kubernetes and container technologies
- Data orchestration and distributed processing platforms
Preferred Experience
- Workforce, talent, HR, or enterprise analytics domains.
Education
- Bachelor’s degree or equivalent experience in Computer Science, Engineering, or another quantitative discipline.
The Team
The People Analytics and Insights organization helps Fidelity make better decisions through data, analytics, and emerging technologies. We are building a workforce intelligence platform that connects workforce data, skills, experiences, organizational relationships, and AI capabilities to enable better decisions and experiences for associates, managers, and business leaders. We partner closely with Human Resources, business leaders, and technology teams to deliver innovative products, advanced analytics, and AI-powered solutions.
Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.
Fidelity’s Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.
Placement in the range will vary based on job responsibilities and scope, geographic location, candidate’s relevant experience, and other factors.
Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.
We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted.
Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.
Certifications:
Category:
Information TechnologyFidelity will not provide immigration sponsorship for this position.
Job Description:
The Role
Are you passionate about building the platforms that power the future of workforce intelligence? We are seeking a hands-on Director of Data Engineering to help design and scale the data, graph, and AI foundations behind our workforce intelligence platform. This senior individual contributor role combines architecture, engineering, and platform development while remaining deeply hands-on in coding and solution delivery. You will partner with data scientists, machine learning engineers, and business leaders while building capabilities that enable innovative analytics and AI-powered experiences.
The Expertise and Skills You Bring
You bring deep expertise in modern data engineering and platform architecture, along with a passion for building scalable, reliable, and secure data ecosystems.
Data and Platform Engineering
- Designing and implementing cloud-native data platforms and services.
- Building scalable APIs, pipelines, and data products using technologies such as Python, SQL, AWS, and modern cloud-native tooling.
- Working with containerized workloads, orchestration frameworks, distributed processing technologies, and software engineering best practices.
Graph and AI Foundations
- Developing graph-based solutions and connected-data architectures.
- Supporting machine learning, embedding, vector search, and AI workloads.
- Enabling workforce intelligence products through scalable platforms and services.
Representative Technologies
- Python
- SQL
- AWS
- Neo4j (preferred)
- Kubernetes and container technologies
- Data orchestration and distributed processing platforms
Preferred Experience
- Workforce, talent, HR, or enterprise analytics domains.
Education
- Bachelor’s degree or equivalent experience in Computer Science, Engineering, or another quantitative discipline.
The Team
The People Analytics and Insights organization helps Fidelity make better decisions through data, analytics, and emerging technologies. We are building a workforce intelligence platform that connects workforce data, skills, experiences, organizational relationships, and AI capabilities to enable better decisions and experiences for associates, managers, and business leaders. We partner closely with Human Resources, business leaders, and technology teams to deliver innovative products, advanced analytics, and AI-powered solutions.
Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.
Fidelity’s Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.
Placement in the range will vary based on job responsibilities and scope, geographic location, candidate’s relevant experience, and other factors.
Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.
We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted.
Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.
Certifications:
Category:
Information TechnologySee All 17 Remote Data Engineering Lead Jobs
Find roles that match your experience and apply in just a few clicks.
Find JobsRemote Data Engineering Lead Job Market
Who's Hiring
Top Industries Hiring
- Manufacturing
- Technology & Software
What Employers Look For
The qualifications that appear most often in remote data engineering lead jobs.
- 7 or more years of data engineering experience with at least 2 in a lead or staff role
- Proficiency in SQL and at least one of Python, Scala, or Java for pipeline development
- Hands-on experience with cloud data warehouses such as Snowflake, BigQuery, or Redshift
- Experience designing and operating distributed processing frameworks like Spark or Flink
- Familiarity with data orchestration tools such as Airflow, Prefect, or Dagster
- Bachelor's degree in computer science, engineering, or a related quantitative field
Tips for Your Remote Data Engineering Lead Job Search
Apply early to remote roles that fit
Migrate Mate lists remote data engineering lead 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-based noise.
Show async leadership in your portfolio
Remote employers care deeply about how you lead without being in the room. Document architectural decisions, write up data pipeline design rationale, and include links to internal wikis or design docs you've authored. Written artifacts signal the kind of leadership remote teams depend on.
Highlight distributed tooling on your resume
Remote data engineering lead roles assume fluency with tools built for distributed collaboration: dbt Cloud, Airflow on managed platforms, Terraform for infrastructure as code, and version-controlled SQL. Name these explicitly and connect them to outcomes your team shipped.
Prepare for async-first remote interviews
Many remote-first companies run take-home design exercises or asynchronous technical screens before any live call. Practice writing clear pipeline architecture proposals and walking through trade-offs in writing. Interviewers use these to assess how you'd communicate decisions across time zones.
Remote Data Engineering Lead Jobs: Frequently Asked Questions
How do I get a remote data engineering lead job?
Target remote-first companies and distributed engineering teams, where async communication and self-direction are built into the culture. Remote employers screen for strong written communication, the ability to lead without in-person oversight, and hands-on experience with tools like Apache Spark, dbt, Airflow, and cloud data platforms. A portfolio of shipped pipelines and clear documentation of your technical decisions gives you a real edge over candidates with similar credentials.
Which companies hire remote data engineering leads?
Employers currently hiring remote data engineering leads include AECOM, New York City Department of Health and Mental Hygiene, and C1, per current remote listings on Migrate Mate as of November 2026. Remote-first software companies, fintech firms, and distributed healthcare data teams make up a large share of remote openings at this level.
Can you get a remote data engineering lead job with no experience?
Yes, but remote data engineering lead roles are harder to land without experience because you're expected to work independently and guide others from day one. Early paths include leading open-source data projects, contributing to distributed teams on contract, or stepping into a remote senior data engineer role first. Demonstrable pipeline work, clear technical writing, and async collaboration skills substitute for a traditional management history.
Do you need a degree for remote data engineering lead jobs?
Not always. Remote employers in this role weigh demonstrated engineering ability, pipeline architecture decisions, and team leadership results more heavily than a formal degree. Candidates who can show shipped production systems, mentorship history, and fluency with modern data stack tools often compete effectively regardless of educational background.
Which industries hire the most remote data engineering leads?
The sectors hiring the most remote data engineering leads are Manufacturing and Technology & Software, based on current remote listings on Migrate Mate as of November 2026. These industries rely on distributed engineering teams to build and maintain large-scale data infrastructure across geographies, making remote data engineering leads a practical fit.
See All 17 Remote Data Engineering Lead Jobs
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