Data Platform Engineer Jobs
Data Platform Engineer jobs are open across fintech, healthtech, enterprise software, and media at every level from new-grad to principal and staff, with specializations in data infrastructure, pipeline architecture, and cloud data warehouse engineering. Find a role that fits from the openings below and apply directly.
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It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started.
Join us to put AI to work for people.
Job Description
Position Location
This is a Flexible (Hybrid) position. Flexible positions require 2 days per week in a ServiceNow office location. We have offices in several locations, including San Francisco, CA; Pleasanton, CA; Santa Clara, CA; San Diego, CA; and Kirkland, WA
Please Note
This position will include supporting our US Regulated Markets.
“This position requires passing a ServiceNow background screening, USFedPASS (US Federal Personnel Authorization Screening Standards). This includes a credit check, criminal/misdemeanor check and taking a drug test. Any employment is contingent upon passing the screening. Due to Federal requirements, only US citizens, US naturalized citizens or US Permanent Residents, holding a green card, will be considered.
About the team
As a Senior Staff Software Engineer with the Data Platform organization, you will be responsible for designing and implementing features and services within our cloud-native platform.
What you get to do in this role
- You will design, build, and operate components and services within the cloud-native platform, taking features from design through to production.
- You will lead well-scoped projects within your team, turning requirements and rough ideas into solid technical designs and delivering them.
- You will collaborate with senior, staff, and principal engineers to align your work with the platform’s architecture and standards.
- You will contribute to the reliability, scalability, and operability of what you build — writing tests and instrumentation, improving runbooks, and participating in on-call.
- You will spend most of your time hands-on building — operators, controllers, automation, and platform services that other teams depend on.
- You will help onboard and mentor junior engineers through code review, design feedback, and pairing.
Qualifications
To be successful in this role you have
- Experience leveraging or critically thinking about how to integrate AI into engineering work — whether using AI-powered coding and operational tooling, automating workflows, or reasoning about how AI changes the way software and infrastructure are built.
- 12+ years of software development experience with a Bachelor's degree; OR 8+ years with a Master's degree; OR 5+ years with a PhD; OR equivalent work experience.
- 5+ years of hands-on experience building, deploying and operating workloads on Kubernetes.
- Working experience with at least one major hyperscaler (AWS, Azure, GCP), including its core compute, networking, and IAM primitives.
- A track record of delivering complex features or services as a key contributor.
- Solid working knowledge of containers, CI/CD and GitOps-based delivery, and infrastructure-as-code.
- Strong programming skills in Go (or another systems language with a willingness to work primarily in Go).
It also helps if you have:
- Experience building Kubernetes controllers or working with the operator pattern.
- Familiarity with container networking (CNI) or service mesh.
- Experience with workload identity, mTLS, or secrets management.
- Experience with observability — metrics, tracing, and dashboards.
For positions in this location, we offer a base pay from $181,200 , plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.
Additional Information
Work Personas
We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.
Equal Opportunity Employer
ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.
Accommodations
We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance.
Export Control Regulations
For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.
From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started.
Join us to put AI to work for people.
Job Description
Position Location
This is a Flexible (Hybrid) position. Flexible positions require 2 days per week in a ServiceNow office location. We have offices in several locations, including San Francisco, CA; Pleasanton, CA; Santa Clara, CA; San Diego, CA; and Kirkland, WA
Please Note
This position will include supporting our US Regulated Markets.
“This position requires passing a ServiceNow background screening, USFedPASS (US Federal Personnel Authorization Screening Standards). This includes a credit check, criminal/misdemeanor check and taking a drug test. Any employment is contingent upon passing the screening. Due to Federal requirements, only US citizens, US naturalized citizens or US Permanent Residents, holding a green card, will be considered.
About the team
As a Senior Staff Software Engineer with the Data Platform organization, you will be responsible for designing and implementing features and services within our cloud-native platform.
What you get to do in this role
- You will design, build, and operate components and services within the cloud-native platform, taking features from design through to production.
- You will lead well-scoped projects within your team, turning requirements and rough ideas into solid technical designs and delivering them.
- You will collaborate with senior, staff, and principal engineers to align your work with the platform’s architecture and standards.
- You will contribute to the reliability, scalability, and operability of what you build — writing tests and instrumentation, improving runbooks, and participating in on-call.
- You will spend most of your time hands-on building — operators, controllers, automation, and platform services that other teams depend on.
- You will help onboard and mentor junior engineers through code review, design feedback, and pairing.
Qualifications
To be successful in this role you have
- Experience leveraging or critically thinking about how to integrate AI into engineering work — whether using AI-powered coding and operational tooling, automating workflows, or reasoning about how AI changes the way software and infrastructure are built.
- 12+ years of software development experience with a Bachelor's degree; OR 8+ years with a Master's degree; OR 5+ years with a PhD; OR equivalent work experience.
- 5+ years of hands-on experience building, deploying and operating workloads on Kubernetes.
- Working experience with at least one major hyperscaler (AWS, Azure, GCP), including its core compute, networking, and IAM primitives.
- A track record of delivering complex features or services as a key contributor.
- Solid working knowledge of containers, CI/CD and GitOps-based delivery, and infrastructure-as-code.
- Strong programming skills in Go (or another systems language with a willingness to work primarily in Go).
It also helps if you have:
- Experience building Kubernetes controllers or working with the operator pattern.
- Familiarity with container networking (CNI) or service mesh.
- Experience with workload identity, mTLS, or secrets management.
- Experience with observability — metrics, tracing, and dashboards.
For positions in this location, we offer a base pay from $181,200 , plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.
Additional Information
Work Personas
We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.
Equal Opportunity Employer
ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.
Accommodations
We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance.
Export Control Regulations
For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.
From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.
Data Platform Engineer Jobs by Experience Level
Top Cities Hiring Data Platform Engineers
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Find Data Platform Engineer JobsData Platform Engineer Job Market
Who's Hiring
- Amazon14
- JPMorganChase14
- ServiceNow11
- Oracle8
- TikTok8
Top Industries Hiring
- Technology & Software34
- Banking & Financial Services9
- Consulting & Professional Services6
- Investment & Asset Management3
- Biotechnology & Pharmaceuticals3
What Employers Look For
The qualifications that appear most often in data platform engineer jobs.
- 5+ years of experience designing and building scalable data pipelines and ETL workflows
- Proficiency with cloud data platforms such as Snowflake, BigQuery, or Redshift
- Hands-on experience with orchestration tools including Apache Airflow or Prefect
- Strong SQL skills and experience with dbt for data transformation and modeling
- Experience with streaming technologies such as Apache Kafka or Apache Spark
- Bachelor's degree in Computer Science, Data Engineering, or a related technical field
Tips for Your Data Platform Engineer Job Search
Tailor your resume to each stack
Generic data engineer resumes get screened out fast. Match the tools you list to each job description: if the role specifies dbt, Airflow, and Snowflake, those names need to appear in your bullet points with measurable outcomes tied to each.
Show data lineage work on GitHub
Hiring managers for platform roles check public repos. Push a project that demonstrates end-to-end pipeline design with documentation, not just raw scripts. Lineage diagrams and schema versioning examples set your portfolio apart from candidates who only list tools.
Apply early to roles that fit
Migrate Mate lists data platform engineer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Target companies by their data maturity
A seed-stage startup needs a builder who sets up infrastructure from scratch. A public company with a mature platform needs someone who optimizes and scales. Reading the job description for phrases like 'greenfield' or 'modernize existing pipelines' tells you which mode you're walking into.
Prepare a system design answer on streaming vs batch
Almost every technical screen for this role includes a data architecture question. Walk through your decision process for choosing Kafka over scheduled batch jobs, or vice versa, with a real tradeoff you've navigated. Interviewers want reasoning, not definitions.
Negotiate by anchoring to cloud cost savings
Data platform engineers directly affect infrastructure spend. Before your offer conversation, quantify cost reductions you've driven through query optimization, partitioning, or storage tiering. Framing your value in dollars your previous employer saved gives you concrete leverage.
Data Platform Engineer Jobs: Frequently Asked Questions
Which companies are hiring the most data platform engineers?
The companies hiring the most data platform engineers right now include Amazon, JPMorganChase, and ServiceNow, with the largest share of openings in California, Texas, and New York, based on current listings on Migrate Mate as of November 2026. Demand is especially strong at companies undergoing cloud migrations or building out self-serve analytics capabilities.
How many data platform engineer jobs are remote?
About 81% of data platform engineer openings are fully remote or hybrid as of November 2026, making it one of the more remote-accessible infrastructure roles. Sub-areas like cloud data warehouse engineering and pipeline development tend to have the highest share of fully distributed positions, while roles focused on real-time streaming infrastructure more often require on-site collaboration.
How do you become a data platform engineer?
Start by building strong SQL skills and learning a cloud platform like Snowflake, BigQuery, or Redshift. Add hands-on experience with an orchestration tool such as Apache Airflow by building personal projects or contributing to open-source pipelines. Progress through data analyst or junior data engineer roles to develop production experience, then deepen expertise in data modeling with dbt and distributed processing frameworks like Spark to move into senior platform work.
How do you get a data platform engineering job with little experience?
Build a public portfolio that shows pipeline design, not just analysis. Create an end-to-end project using free cloud tiers of Snowflake or BigQuery, schedule it with Airflow, and document it thoroughly on GitHub. Entry-level openings often favor candidates who can demonstrate they've shipped something functional over those with only coursework. Roles titled junior data engineer or analytics engineer are the most common entry points into platform work.
What does the data platform engineer interview process look like?
Most interview processes start with a recruiter screen, followed by a technical phone interview testing SQL and basic pipeline design. A take-home or live coding exercise focused on data modeling or pipeline architecture usually comes next. The final round typically includes a system design session where you walk through building or scaling a data platform, plus a behavioral round with the engineering manager and cross-functional stakeholders.
Where can I find and apply to data platform engineer jobs?
You can find and apply to data platform engineer jobs on Migrate Mate, which lists current openings from across the United States. Search the listings to find roles that match your experience, tools, and preferred location or remote setup, then apply directly to each one that fits.
See All 468+ Data Platform Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
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