Top 24 Aws Jobs in Flint, Mi

Senior DevOps Engineer – Data Engineering
innoVet Health, LLC —United States
- From $140,000 a year
- Full-time
- Remote
- HIPAA
- SQL
- AWS
- Health insurance
- Dental insurance
Quick Apply
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- $40 - $60 an hour
- Part-time
- Remote
- Computer Science
- English
- Mid-level
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The Saasy People —United States
- $70,000 - $85,000 a year
- Full-time
- Remote
- Mid-level
- AWS
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Software Engineering Manager
InterProse —United States
- $140,000 - $200,000 a year
- Full-time
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- Background check
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ELMNT LLC —United States
- $150,000 - $180,000 a year
- Full-time
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- Azure
- 5 years
- AWS
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Senior Data Scientist, Responsible AI
Empower —United States
- $105,700 - $149,275 a year
- Remote
- 6 years
- Computer Science
- SQL
- Paid parental leave
- Paid holidays
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Senior DevOps Engineer – Data Engineering

innoVet Health, LLC -
United States

Quick Apply

Job Details

Full-time
From $140,000 a year

Benefits

Health insurance
Dental insurance
401(k)
Paid time off
Vision insurance
401(k) matching
Referral program

Qualifications

Version control
Azure IaaS
Microsoft SQL Server
Application deployment
SQL
RBAC
AWS
Cloud security best practices implementation
Bachelor's degree
Azure Key Vault
Terraform
Data access controls implementation
Cloud automation
IT security management
DevOps automation
Key management

Full Job Description

InnoVet Health, a small and growing business that provides health IT professional services to the Department of Veterans Affairs (VA) is looking for a Senior Dev Ops Engineer. We're building out the data engineering practice supporting a federal healthcare analytics platform, and we need a hands-on DevOps engineer to help us design our CI/CD foundation from the ground up. Today, our data engineers are building pipelines in Azure Data Factory and Databricks, with source code in GitHub, but the deployment, automation, rollback, and monitoring story is largely greenfield. That's where you come in.

This is not a maintenance role on a mature platform. You'll be defining how code gets from a developer's branch to production, what happens when a pipeline fails at 2 AM, and how we keep our environments consistent as the team grows. You'll have real influence on the standards, tools, and patterns we adopt. If you like solving problems and building systems that aren't there yet, you'll have plenty of room to run.

What you'll do

Design and implement CI/CD pipelines for Azure Data Factory and Databricks using GitHub Actions, including: PR validation, environment promotion (Dev → Test → Prod), and rollback paths.
Establish source control conventions: branching, code review, versioning, and the workflows that let multiple data engineers ship without stepping on each other.
Build the monitoring, alerting, and logging that lets the team detect failures quickly and recover cleanly so a failed pipeline doesn't corrupt downstream data.
Help manage and optimize the Azure infrastructure underneath the platform; ADLS, Key Vault, networking, access applying healthcare-appropriate security practices throughout.
Partner with the data engineering team day-to-day, coaching them on practices and patterns as you put them in place. You're the DevOps voice on a small team that doesn't have one yet.
Document what you build so it survives you. Runbooks, architecture notes, onboarding docs, all part of the job.

The stack today

Data engineering: Azure Data Factory, Azure Databricks, SQL, Azure Data Lake Storage
Source control: GitHub (with GitHub Actions available)
Sources we ingest from: MongoDB, Oracle, SQL Server, on-prem and cloud (AWS) systems, plus patient-generated health data
Cloud: Azure (primary)

CI/CD pipelines, automated testing, and centralized monitoring are largely greenfield. you'll be designing them, not inheriting them.

What we're looking for

These are the things we actually need on day one:

6+ years of DevOps, platform, or cloud engineering experience, with meaningful hands-on time in Azure.
Experience designing and implementing CI/CD pipelines, ideally with GitHub Actions, but Azure DevOps, Jenkins, or similar is fine if you can speak to the patterns.
Comfort with at least one of Azure Data Factory or Databricks. If you have both, even better; if you have one and a willingness to learn the other quickly, that works.
Solid Git fundamentals: branching strategies, PR workflows, release management.
Working knowledge of Azure security basics: Key Vault, RBAC, managed identities, and the principle of "no credentials in source control, ever."
A bias toward automation and a problem-solving mindset. Much of this role is figuring out the right way to do something nobody on the team has done before.
Clear written and verbal communication, you'll be working with data engineers, analysts, and program stakeholders who don't all share your vocabulary.

Nice to have (not required)

Prior experience in federal healthcare, VA, or other regulated environments, or familiarity with HIPAA-style data handling.
Power BI Deployment Pipelines, dataset refresh orchestration, or Power BI service administration. Power BI is part of our analytics stack; CI/CD around it is on the roadmap but not the immediate priority.
Infrastructure-as-code experience (Terraform, Bicep, or ARM templates).
Data quality / testing frameworks like Great Expectations or dbt tests.
Familiarity with Delta Lake, Unity Catalog, or the medallion (Bronze/Silver/Gold) architecture.
Microsoft certifications (AZ-400, AZ-104, DP-203) — useful, but we're hiring on capability, not credentials.

Job Type: Full-time

Pay: From $140,000.00 per year

Benefits:

401(k)
401(k) matching
Dental insurance
Health insurance
Paid time off
Referral program
Vision insurance

Application Question(s):

This position works directly with US government contracts and under Order 11935, it requires either U.S. Citizenship or valid Green Card. Please answer 2 if you are a US citizen, 1 if you have a valid green card, 0 if neither. Please make sure to answer this question.
Your LinkedIn profile link (required):

Education:

Bachelor's (Required)

Experience:

Databricks SQL Warehousing, Delta Lake, and Unity Catalog: 3 years (Preferred)
DevOps/Cloud/Data Engineering: 5 years (Required)
Azure Data Factory CI/CD : 3 years (Required)

Work Location: Remote

Quick Apply

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