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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Showing 5 of 195+ Data Infrastructure Engineer jobs
INTRODUCTION
Rocket is seeking a Staff Data Infrastructure Engineer to help shape the future of enterprise data infrastructure across Rocket and affiliated business platforms. This is a high impact technical leadership role for someone who brings deep expertise across cloud, systems, databases, and data platforms, and who wants to help modernize critical infrastructure, influence technical standards, and drive durable improvements across a complex enterprise environment.
About the role
- Partner with technical program leadership to assess, modernize, and improve enterprise data infrastructure environments.
- Lead technical discovery, dependency mapping, architecture reviews, migration readiness assessments, and operational readiness planning to identify technical gaps, operational risks, reliability concerns, compliance gaps, and modernization opportunities.
- Define clear technical recommendations and practical roadmaps that improve reliability, security, scalability, observability, and operational maturity.
- Partner with engineering teams to support migration and modernization efforts (involving on-premise infrastructure, AWS, Snowflake, and related enterprise data platforms) to move infrastructure and data platforms into a more predictable, measurable, and supportable state.
- Establish standards and best practices for monitoring, alerting, logging, backup/recovery, patching, access controls, data movement, service ownership, and production support.
- Provide senior technical judgment, mentorship, and hands-on leadership to help teams make durable improvements across complex infrastructure and data environments.
MINIMUM QUALIFICATIONS
- 10+ years of experience in systems engineering, cloud engineering, data infrastructure, database engineering, platform engineering, or related infrastructure roles.
- Expert-level experience with AWS and enterprise cloud infrastructure patterns.
- Expert-level understanding of database and data platform technologies, including relational databases, data warehouses, distributed data systems, storage, backup/recovery, replication, performance, and operational support.
- Experience with on-premise to cloud migration programs, including technical discovery, dependency mapping, migration planning, validation, cutover support, and operational readiness.
- Strong understanding of observability, monitoring, alerting, logging, incident response, change management, resiliency, disaster recovery, and production operations.
- Experience working with security, compliance, risk, audit, and infrastructure standards in enterprise environments.
- Strong communication skills with the ability to explain complex technical findings, risks, tradeoffs, and recommendations to both technical and executive audiences.
PREFERRED QUALIFICATIONS
- Experience in financial services, mortgage, banking, lending, insurance, or other regulated enterprise environments.
- Experience with data platform technologies such as Snowflake, Microsoft SQL Server, Oracle, Postgres, Redshift, Aurora, Cassandra, Kafka, or similar technologies.
- Deep experience with AWS services and patterns including EC2, S3, IAM, VPC networking, FSx, CloudWatch, CloudTrail, KMS, backup/recovery, security logging, and enterprise account governance.
- Experience leading or supporting multiple cloud migrations, data platform transformations, or large-scale infrastructure modernization efforts.
- Experience with technical integration work related to mergers, acquisitions, or affiliated business environments.
- Experience defining infrastructure standards, operational maturity models, platform governance mechanisms, or engineering best practices.
- Experience with FinOps, cloud cost optimization, platform consolidation, or infrastructure efficiency programs.
- Experience improving data access controls, data flow visibility, lineage, auditability, and operational controls across enterprise data platforms.
What you’ll get
Our team members fuel our strategy, innovation and growth, so we ensure the health and well-being of not just you, but your family, too! We go above and beyond to give you the support you need on an individual level and offer all sorts of ways to help you live your best life. We are proud to offer eligible team members perks and health benefits that will help you have peace of mind. Simply put: We’ve got your back. Check out our full list of Benefits and Perks.
On-Call Expectations
This role may include participation in an on-call rotation to support production systems and ensure service reliability. On-call responsibilities may include coverage during nights and weekends. If applicable, frequency and scheduling will be determined by team needs and communicated accordingly.
About us
Rocket is a Detroit-based company made up of businesses that provide simple, fast and trusted digital solutions for complex transactions. The name comes from our flagship business, now known as Rocket Mortgage®, which was founded in 1985. Today, we’re a publicly traded company involved in many different industries, including mortgages, fintech, real estate and more. We’re insistently different in how we look at the world and are committed to an inclusive workplace where every voice is heard. Apply today to join a team that offers career growth, amazing benefits and the chance to work with leading industry professionals.
This job description is an outline of the primary responsibilities of this position and may be modified at the discretion of the company at any time. Decisions related to employment are not based on race, color, religion, national origin, sex, physical or mental disability, sexual orientation, gender identity or expression, age, military or veteran status or any other characteristic protected by state or federal law. The company provides reasonable accommodations to qualified individuals with disabilities in accordance with applicable state and federal laws. Applicants requiring reasonable accommodations in completing the application and/or participating in the application process should contact a member of the Human Resources team, at Careers@Rocket.com.
The compensation information below is provided in compliance with all applicable job posting disclosure requirements. The compensation for this position is $149,000.00-$318,000.00. The position may also be eligible for an annual bonus, incentives, and other employment-related benefits including, but not limited to, medical, dental, and vision benefits, 401K retirement plan, and paid-time off. More information regarding these benefits and others can be found here. The information regarding compensation and other benefits included in this paragraph is the company’s current, good faith estimate at the time of posting. [Compensation and benefits are subject to modification from time to time as the Company, in its sole and exclusive discretion, deems appropriate.] The Company may determine during its future reviews of the proposed compensation and benefits provided for this position, that the compensation and benefits for such position should be reduced. In no event will the Company reduce the compensation for the position to a level below the applicable jurisdictional minimum wage rate for the position. Los Angeles County and San Francisco Candidates only: qualified applicants with arrest or conviction records will be considered for employment per the Fair Chance Ordinance and the Fair Chance Initiative for Hiring.
INTRODUCTION
Rocket is seeking a Staff Data Infrastructure Engineer to help shape the future of enterprise data infrastructure across Rocket and affiliated business platforms. This is a high impact technical leadership role for someone who brings deep expertise across cloud, systems, databases, and data platforms, and who wants to help modernize critical infrastructure, influence technical standards, and drive durable improvements across a complex enterprise environment.
About the role
- Partner with technical program leadership to assess, modernize, and improve enterprise data infrastructure environments.
- Lead technical discovery, dependency mapping, architecture reviews, migration readiness assessments, and operational readiness planning to identify technical gaps, operational risks, reliability concerns, compliance gaps, and modernization opportunities.
- Define clear technical recommendations and practical roadmaps that improve reliability, security, scalability, observability, and operational maturity.
- Partner with engineering teams to support migration and modernization efforts (involving on-premise infrastructure, AWS, Snowflake, and related enterprise data platforms) to move infrastructure and data platforms into a more predictable, measurable, and supportable state.
- Establish standards and best practices for monitoring, alerting, logging, backup/recovery, patching, access controls, data movement, service ownership, and production support.
- Provide senior technical judgment, mentorship, and hands-on leadership to help teams make durable improvements across complex infrastructure and data environments.
MINIMUM QUALIFICATIONS
- 10+ years of experience in systems engineering, cloud engineering, data infrastructure, database engineering, platform engineering, or related infrastructure roles.
- Expert-level experience with AWS and enterprise cloud infrastructure patterns.
- Expert-level understanding of database and data platform technologies, including relational databases, data warehouses, distributed data systems, storage, backup/recovery, replication, performance, and operational support.
- Experience with on-premise to cloud migration programs, including technical discovery, dependency mapping, migration planning, validation, cutover support, and operational readiness.
- Strong understanding of observability, monitoring, alerting, logging, incident response, change management, resiliency, disaster recovery, and production operations.
- Experience working with security, compliance, risk, audit, and infrastructure standards in enterprise environments.
- Strong communication skills with the ability to explain complex technical findings, risks, tradeoffs, and recommendations to both technical and executive audiences.
PREFERRED QUALIFICATIONS
- Experience in financial services, mortgage, banking, lending, insurance, or other regulated enterprise environments.
- Experience with data platform technologies such as Snowflake, Microsoft SQL Server, Oracle, Postgres, Redshift, Aurora, Cassandra, Kafka, or similar technologies.
- Deep experience with AWS services and patterns including EC2, S3, IAM, VPC networking, FSx, CloudWatch, CloudTrail, KMS, backup/recovery, security logging, and enterprise account governance.
- Experience leading or supporting multiple cloud migrations, data platform transformations, or large-scale infrastructure modernization efforts.
- Experience with technical integration work related to mergers, acquisitions, or affiliated business environments.
- Experience defining infrastructure standards, operational maturity models, platform governance mechanisms, or engineering best practices.
- Experience with FinOps, cloud cost optimization, platform consolidation, or infrastructure efficiency programs.
- Experience improving data access controls, data flow visibility, lineage, auditability, and operational controls across enterprise data platforms.
What you’ll get
Our team members fuel our strategy, innovation and growth, so we ensure the health and well-being of not just you, but your family, too! We go above and beyond to give you the support you need on an individual level and offer all sorts of ways to help you live your best life. We are proud to offer eligible team members perks and health benefits that will help you have peace of mind. Simply put: We’ve got your back. Check out our full list of Benefits and Perks.
On-Call Expectations
This role may include participation in an on-call rotation to support production systems and ensure service reliability. On-call responsibilities may include coverage during nights and weekends. If applicable, frequency and scheduling will be determined by team needs and communicated accordingly.
About us
Rocket is a Detroit-based company made up of businesses that provide simple, fast and trusted digital solutions for complex transactions. The name comes from our flagship business, now known as Rocket Mortgage®, which was founded in 1985. Today, we’re a publicly traded company involved in many different industries, including mortgages, fintech, real estate and more. We’re insistently different in how we look at the world and are committed to an inclusive workplace where every voice is heard. Apply today to join a team that offers career growth, amazing benefits and the chance to work with leading industry professionals.
This job description is an outline of the primary responsibilities of this position and may be modified at the discretion of the company at any time. Decisions related to employment are not based on race, color, religion, national origin, sex, physical or mental disability, sexual orientation, gender identity or expression, age, military or veteran status or any other characteristic protected by state or federal law. The company provides reasonable accommodations to qualified individuals with disabilities in accordance with applicable state and federal laws. Applicants requiring reasonable accommodations in completing the application and/or participating in the application process should contact a member of the Human Resources team, at Careers@Rocket.com.
The compensation information below is provided in compliance with all applicable job posting disclosure requirements. The compensation for this position is $149,000.00-$318,000.00. The position may also be eligible for an annual bonus, incentives, and other employment-related benefits including, but not limited to, medical, dental, and vision benefits, 401K retirement plan, and paid-time off. More information regarding these benefits and others can be found here. The information regarding compensation and other benefits included in this paragraph is the company’s current, good faith estimate at the time of posting. [Compensation and benefits are subject to modification from time to time as the Company, in its sole and exclusive discretion, deems appropriate.] The Company may determine during its future reviews of the proposed compensation and benefits provided for this position, that the compensation and benefits for such position should be reduced. In no event will the Company reduce the compensation for the position to a level below the applicable jurisdictional minimum wage rate for the position. Los Angeles County and San Francisco Candidates only: qualified applicants with arrest or conviction records will be considered for employment per the Fair Chance Ordinance and the Fair Chance Initiative for Hiring.
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Find JobsData Infrastructure Engineer Job Market
A snapshot from current openings nationwide, updated as new roles post.
Who's Hiring
- Apple10
- Nuro10
- Humana8
- NVIDIA7
- Amazon6
Top Industries Hiring
- Technology & Software88
- Artificial Intelligence14
- Consulting & Professional Services14
- Electronics & Hardware10
- Automotive9
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 Apple, Nuro, and Humana, with the largest share of openings in California, New York, and Washington, based on current listings on Migrate Mate as of June 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 26% of data infrastructure engineer openings are fully remote or hybrid as of June 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.
See All 195+ Data Infrastructure Engineer Jobs
Jump back to the full list of openings and apply to any data infrastructure engineer role that fits.
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