Data Infrastructure Engineer Jobs
Data infrastructure engineer jobs are open across fintech, healthtech, cloud services, and enterprise software, from new-grad to staff and principal engineer, with specializations in data pipeline architecture, distributed systems, and platform reliability. Find a role that fits from the openings below and apply directly.
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Push the limits of what's possible with us as an experienced senior member of our product team.
As a Senior Lead Infrastructure Engineer at JPMorgan Chase within the Enterprise Technology Data Protection & Recovery product line, you will operate at the intersection of infrastructure engineering, product ownership, and risk. You will own the product vision, roadmap, and backlog for the Resiliency Evidence Service (RES), the platform of record for capturing, validating, and reporting resiliency evidence across the firm, while providing hands-on technical leadership to the platform, application, and infrastructure teams that produce and consume that evidence. You will translate control objectives, regulatory expectations, and recovery targets (RTO/RPO) into concrete engineering guidance, evidence contracts, and delivery plans, then partner with global development and infrastructure teams to make those outcomes real.
Required qualifications, capabilities, and skills
- Own the product vision, roadmap, and quarterly plan for the Resiliency Evidence Service; translate firmwide resiliency, risk, and audit objectives into a prioritized backlog with clear outcomes, success metrics, and release milestones.
- Act as the single-threaded product owner: groom and prioritize the backlog, run sprint planning and reviews, manage cross-team dependencies, and communicate status, risks, and trade-offs to engineering, product, risk, and executive stakeholders.
- Provide hands-on infrastructure engineering leadership: define reference architectures, evidence contracts (schemas, APIs, event formats), and integration patterns that partner teams use to emit resiliency evidence into RES.
- Guide development and infrastructure teams on controls and control objectives from a risk perspective; interpret firmwide standards, recovery objectives, and audit findings into concrete engineering requirements, acceptance criteria, and evidence artifacts.
- Partner with platform, application, and infrastructure teams to help them design, instrument, and produce the telemetry, attestations, restore proofs, and control evidence consumed by RES; run working sessions, review designs, and unblock adoption.
- Steward the end-to-end architecture of RES ingestion, storage, validation, and reporting surfaces; define domain boundaries, service contracts, and cross-service standards, and maintain architectural decision records.
- Drive resilient service design for RES itself: manage availability SLOs, latency budgets, and error budgets; lead DR tests, restore validation exercises, and chaos/resilience drills for the platform and its dependencies.
- Champion the secure SDLC across the ecosystem: threat modeling, SAST/DAST integration, dependency and SBOM management, secrets hygiene, encryption in transit and at rest, and robust authentication/authorization patterns for evidence pipelines.
- Advance observability and SRE practices: instrument metrics, logs, and traces across ingestion and reporting paths; design actionable alerts; author runbooks; lead incident response and blameless postmortems for both RES and the evidence supply chain.
- Support CI/CD and test quality across the product line: maintain an end-to-end understanding of how RES services, evidence pipelines, and partner integrations fit together and are tested (unit, integration, contract, performance); set expectations for coverage, quality gates, and progressive delivery (canary/blue-green) with rollback plans; review results, triage failures, and guide engineers to the likely root cause when tests or pipelines break.
- Represent RES with Risk, Controls, Audit, and Compliance partners; produce data-backed status updates, escalation requests, and evidence packages that demonstrate control effectiveness and recovery posture.
- Support critical environments (Development, QA, Simulation, Production) and lead management of on-call obligations for owned services, ensuring operational stability and timely resolution of incidents.
- Contribute to the engineering community as an advocate of firmwide frameworks, tools, and best practices; add to team culture by fostering diversity, inclusion, and respect.
Required qualifications, capabilities, and skills
- 5+ years' experience in infrastructure, platform, or software engineering, with a proven track record leading cross-team delivery of production platforms in a large, regulated environment.
- Demonstrated product ownership experience: authoring and maintaining a roadmap, running a prioritized backlog, leading sprint ceremonies, and managing stakeholder expectations across engineering, product, and risk audiences.
- Deep knowledge of resiliency engineering and disaster recovery objectives with hands-on practice running DR tests, restore validation, and chaos/resilience exercises.
- Strong understanding of technology risk and control frameworks: ability to interpret control objectives, regulatory expectations, and audit findings and translate them into concrete engineering requirements, evidence artifacts, and acceptance criteria.
- Hands-on infrastructure engineering experience: Linux, containers and orchestration (Kubernetes), infrastructure as code (Terraform or equivalent), multi-AZ/region architectures, and cost-efficient scalability; hands-on experience with AWS and awareness of other cloud providers.
- Working proficiency in at least one general-purpose programming language (e.g., Python, Java) sufficient to understand and design APIs, define integration tooling, prototype evidence pipelines, and review partner-team code.
- Data and integration fluency: API design (REST/gRPC), event-driven patterns, schema evolution and compatibility, and practical experience with streaming or messaging platforms (Kafka or equivalent).
- Observability discipline: instrumentation of metrics/logs/traces, alerting design, runbooks, incident management, and blameless postmortems.
- Secure SDLC expertise: threat modeling, SAST/DAST integration, dependency risk/SBOM management, secrets handling, encryption standards, and robust authentication/authorization.
- DevOps/SDLC: familiarity with build tools, CI/CD systems, and version control (Git) with automated pipeline governance.
- Excellent written and verbal communication; able to move fluidly between deep technical review with engineers and outcome-oriented conversations with senior stakeholders.
- Ability to independently tackle complex design, delivery, and prioritization problems with minimal oversight.
Preferred qualifications, capabilities, and skills
- Prior ownership of a firmwide platform, control tool, or shared service consumed by many partner teams.
- Experience defining evidence, control, or telemetry contracts (schemas, attestations, control mappings) and driving adoption across independent engineering teams.
- Familiarity with data protection and recovery domains: backup and restore tooling, immutable storage, chain-of-custody controls, and auditability.
- Experience with service mesh, API gateways, and contract governance at scale.
- Knowledge of Windows/UNIX/Linux and shell scripting for operational tooling and automation.
- Familiarity with modern frontend technologies for internal tooling or dashboards.
- Experience establishing engineering standards across multiple teams and leading technical working groups.
- Exposure to regulatory and audit regimes applicable to financial services resiliency (e.g., operational resilience, recovery and resolution planning).
Leadership and collaboration expectations
- Act as a trusted technical and product leader across regions, influencing peers and decisionmakers to adopt leading-edge practices in resilience, risk, and platform engineering.
- Set direction for partner teams by publishing clear evidence contracts, adoption guides, and roadmaps; then partner shoulder-to-shoulder with those teams to help them deliver.
- Represent the product to senior stakeholders in Risk, Controls, Audit, and executive forums with data-backed narratives on progress, coverage, and residual risk.
- Mentor engineers at multiple levels, elevate code quality and design rigor, and contribute to internal forums and tech talks to disseminate best practices.
- Build strong working relationships with platform partners across Product Development, Infrastructure, Operations, Risk/Controls, and other firmwide functions to deliver competitive, scalable, and defensible solutions.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
ABOUT THE TEAM
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
Data Infrastructure Engineer Jobs by Experience Level
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Find JobsData Infrastructure Engineer Job Market
Who's Hiring
- Speechify84

- Amazon26

- Logic16

- Google8

- Jabil5

Top Industries Hiring
- Technology & Software62
- Retail10
- E-Commerce & Online Marketplaces10
- Consulting & Professional Services7
- Manufacturing6
What Employers Look For
The qualifications that appear most often in data infrastructure engineer jobs.
- Proficiency in SQL and at least one of Python, Scala, or Java for pipeline development
- Hands-on experience with distributed processing frameworks such as Apache Spark or Apache Flink
- Experience designing and operating data pipeline orchestration tools like Apache Airflow or Prefect
- Familiarity with cloud data warehouses and storage systems on AWS, GCP, or Azure
- Understanding of streaming architectures and event-driven systems, including Apache Kafka or similar
- Bachelor's degree in computer science, engineering, or a related technical field, or equivalent experience
Tips for Your Data Infrastructure Engineer Job Search
Tailor your resume to the stack
Generic data engineering resumes get filtered out fast. List the specific orchestration tools, query engines, and cloud providers from each job posting, Airflow versus Prefect, Spark versus Flink, AWS versus GCP, so your resume matches the exact language hiring teams use.
Apply early to roles that fit
Migrate Mate lists data infrastructure engineer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Quantify pipeline scale on your resume
Hiring managers for data infrastructure roles want to know the scale you have worked at. Replace vague descriptions with concrete scope: daily data volume processed, pipeline latency improvements you shipped, or the number of downstream consumers your platform supported.
Target postings by infrastructure ownership level
Some roles own the full data platform, others only maintain pipelines built by contractors. Read job descriptions for phrases like 'greenfield build,' 'platform team,' or 'data mesh' to identify whether you will be designing architecture or operating an existing one.
Prepare a system design answer for data freshness
Nearly every data infrastructure interview includes a scenario question about keeping downstream data fresh under latency constraints. Practice designing a solution that handles late-arriving events, backfills, and SLA trade-offs before your first technical screen.
Negotiate scope alongside compensation
In data infrastructure offers, the team charter matters as much as the package. Before accepting, ask whether the role owns production incident response, what the on-call rotation looks like, and whether the team has a roadmap for reducing operational toil.
Data Infrastructure Engineer Jobs: Frequently Asked Questions
Which companies are hiring the most data infrastructure engineers?
The companies hiring the most data infrastructure engineers right now include Speechify, Amazon, and Logic, with the largest share of openings in California, Texas, and Virginia, based on current listings on Migrate Mate as of August 2026. Demand is especially concentrated in companies scaling cloud-native data platforms or modernizing legacy warehouse infrastructure.
How many data infrastructure engineer jobs are remote?
About 71% of data infrastructure engineer openings are fully remote or hybrid as of August 2026, reflecting the discipline's heavy reliance on cloud tooling that requires no on-site hardware access. Roles focused on platform engineering and pipeline development tend to be the most remote-friendly, while positions tied to real-time operational systems or on-premise data centers more often require in-office presence.
How do you become a data infrastructure engineer?
Start by building strong SQL skills and learning a scripting language like Python, then move into distributed systems by working through a project that processes and stores data at scale. Study orchestration tools like Apache Airflow and gain hands-on cloud experience by deploying a pipeline on a major cloud provider. Contributing to open-source data tooling projects and building a portfolio of end-to-end pipeline work accelerates hiring significantly.
Can you get a data infrastructure engineer job with little experience?
Yes, entry-level data infrastructure engineer roles exist, particularly at startups and mid-size companies building out their data platforms for the first time. Strong candidates without deep professional experience substitute with a demonstrated project portfolio: a working pipeline that ingests, transforms, and serves data, hosted publicly and documented clearly. Familiarity with at least one cloud provider and a core orchestration tool is the practical floor most teams expect.
What does the data infrastructure engineer interview process look like?
Most processes include an initial recruiter screen followed by a technical phone interview focused on SQL and Python fundamentals. A take-home or live coding round typically tests data modeling or pipeline logic. The final round usually includes a system design session where you architect a scalable ingestion or transformation layer, plus a cross-functional panel covering reliability practices, incident response, and how you have collaborated with data consumers like analysts or machine learning teams.
Where can I find and apply to data infrastructure engineer jobs?
You can find and apply to data infrastructure engineer jobs on Migrate Mate, which lists current openings from across the United States. Search the available roles, find the ones that match your stack and experience level, and apply directly to each listing without leaving the platform.
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