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Remote Azure Data Engineer Jobs in Ferndale, MI (NOW HIRING)

United Airlines

Senior Cloud Engineer

Southfield, MI · On-site +1

$70K - $144K/yr

Location Remote based role with preference in Hub Office City. About The Job You're Considering ... Azure Virtual Desktop (AVD) * Plan, deploy, and manage scalable AVD environments in Azure ...

ALTEN Technology USA

Senior Apriso Developer

Troy, MI · Remote

$52.25 - $67.50/hr

Ability to work independently in a remote environment Key Responsibilities: * Design, develop ... DELMIA Apriso Certification, Azure Cloud, DevOps, Power BI, Agile/Scrum, multi-site deployments.

OneStream

AI Engineer

Birmingham, MI · Remote

Knowledge of distributed systems and cloud-based computing (Azure). Knowledge, Skills, and ... OneStream is an Equal Opportunity Employer. #LI-REMOTE #LI-JP1

Huntington

RACF Mainframe Security Engineer

Detroit, MI · On-site +1

$70K - $140K/yr

Description This position is a remote position. Summary: The RACF Mainframe Security Engineer is ... AWS, Azure, and GCP. * Experience of implementing zSecure capabilities, including zAlert

Huntington

RACF Mainframe Security Engineer

Detroit, MI · On-site +1

$70K - $140K/yr

Description This position is a remote position. Summary: The RACF Mainframe Security Engineer is ... AWS, Azure, and GCP. * Experience of implementing zSecure capabilities, including zAlert

Tetra Tech

Civil Engineer III

Detroit, MI · On-site +1

This opportunity is remote and/or hybrid-friendly that can be performed from a wide range of ... Analyze data and review project work products, including site specific technical data, engineering ...

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Showing results 41-60

All JobsAzure Data Engineer JobsRemote Azure Data Engineer JobsRemote Azure Data Engineer Jobs in Ferndale, MI

Remote Azure Data Engineer information

See Ferndale, MI salary details

$41.4K

$120.7K

$165.2K

How much do remote azure data engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for remote azure data engineer in Ferndale, MI is $120,720.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,600.00 and $128,000.00 per year, depending on experience, location, and employer.

What are some common challenges a remote Azure Data Engineer might face, and how are they typically addressed?

A common challenge for Remote Azure Data Engineers is ensuring secure, reliable data transfer and integration across distributed systems while collaborating with teams that may be in different time zones. This is typically addressed by implementing best practices for cloud security, employing automated monitoring, and leveraging project management tools to stay aligned with cross-functional teams. Clear, proactive communication is essential in a remote environment, as is documentation to keep everyone updated on project progress. Many organizations also offer regular virtual check-ins and access to knowledge-sharing platforms to foster collaboration. By staying organized and proactive, remote Azure Data Engineers can successfully deliver scalable data solutions in a distributed work setup.

What is a remote Azure Data Engineer?

A Remote Azure Data Engineer is responsible for designing, implementing, and managing data solutions using Microsoft Azure cloud services while working from a remote location. They work with tools like Azure Data Factory, Azure SQL Database, and Azure Synapse Analytics to process, store, and analyze data. Their role includes data pipeline development, performance optimization, and ensuring data security. Collaboration with data scientists, analysts, and business teams is common to support data-driven decision-making.

What are the key skills and qualifications needed to thrive as a remote Azure Data Engineer?

To thrive as a Remote Azure Data Engineer, you need expertise in designing, implementing, and managing data solutions using Microsoft Azure, along with proficiency in SQL, data warehousing, and ETL processes. Familiarity with tools like Azure Data Factory, Azure SQL Database, Databricks, and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Strong problem-solving skills, effective communication, and the ability to work autonomously make candidates stand out in this remote role. These skills ensure that data pipelines are robust, secure, and scalable, enabling organizations to make data-driven decisions efficiently.

What are popular job titles related to Remote Azure Data Engineer jobs in Ferndale, MI?

For Remote Azure Data Engineer jobs in Ferndale, MI, the most frequently searched job titles are:

What cities near Ferndale, MI are hiring for Remote Azure Data Engineer jobs?

Cities near Ferndale, MI with the most Remote Azure Data Engineer job openings:

Remote Azure Data Engineer jobs near you
Infographic showing various Remote Azure Data Engineer job openings in Ferndale, MI as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $120,720 per year, or $58 per hour.

AI Machine Learning Engineer (AI / ML: Python / Go)

Benzinga

Detroit, MI • On-site, Remote

Full-time

Posted 26 days ago

Job description

About Benzinga
Benzinga is a fast-growing financial media and data technology company reshaping how investors access information. We combine artificial intelligence, machine learning, and real-time data pipelines to surface insights before they hit the mainstream. Our platforms deliver structured news, sentiment analytics, and financial data APIs used by leading banks, fintechs, and AI companies worldwide.
We're seeking a highly motivated AI / Machine Learning Engineer who thrives at the intersection of data science and backend engineering - someone who can take a model from notebook to production, and architect intelligent systems in Go and Python that scale to millions of requests.
The ideal candidate is a self-starter who independently identifies opportunities, experiments with new approaches, and ships production-ready solutions without constant direction.
Key Responsibilities
AI / Machine Learning
  • Research, design, and deploy machine learning models across NLP, time-series forecasting, and event detection domains.
  • Build LLM-driven systems (e.g. summarization, RAG pipelines, embedding search) optimized for financial news and quantitative data.
  • Develop model serving APIs and scalable inference layers using Go or Python.
  • Implement model monitoring, drift detection, and continuous retraining pipelines.
  • Work with financial text (earnings call transcripts, filings, news) to extract structured insights.
  • Collaborate with data engineers to build training datasets, feature stores, and embedding databases.

Backend & Infrastructure
  • Develop and maintain high-performance Python or Go microservices that integrate with AI systems and Go data APIs.
  • Design and optimize real-time inference pipelines on AWS, leveraging ECS/EKS, S3, and Lambda.
  • Ensure low-latency, fault-tolerant, and scalable delivery of AI-powered data.
  • Implement CI/CD for ML workflows, including containerization, automated deployment, and versioning.
  • Partner with DevOps to manage cloud infrastructure and ensure robust observability for AI workloads.

Requirement for applying:
  • During your screening you will be required to submit a Loom video walkthrough of your most exceptional product, share relevant code/repo links, and describe the biggest challenge you faced building it.

Required Qualification
  • 4+ years of experience in AI/ML or data engineering roles, with a proven track record of deploying ML models in production.
  • Computer science degree (Bachelor minimum)
  • Deep proficiency in Python (data, ML) and Go (backend, microservices).
  • Hands-on experience with ML frameworks such as PyTorch, TensorFlow, or Hugging Face.
  • Experience with transformer architectures, embeddings, or fine-tuning LLMs.
  • Strong understanding of data pipelines, feature extraction, and model lifecycle management.
  • Familiarity with Docker, Kubernetes, and AWS (EKS, S3, Lambda, EC2).
  • Excellent problem-solving skills and ability to work independently in a distributed environment.

Preferred Skills / Experience
  • Startup experience.
  • Financial services or fintech background
  • Experience building LLM-powered APIs or retrieval-augmented generation (RAG) systems.
  • Knowledge of vector databases (e.g., Pinecone, Weaviate, FAISS, OpenSearch kNN).
  • Experience with Kafka, LangChain, or data streaming architectures.
  • Familiarity with financial data systems, real-time analytics, or news NLP.
  • Exposure to MLOps tools (MLflow, BentoML, SageMaker, Airflow, etc.).
  • Contributions to open-source ML or Go projects are a strong plus.

Tech Stack
  • Languages: Python, Go
  • ML Frameworks: PyTorch, TensorFlow, Hugging Face, LangChain
  • Cloud: AWS (EKS, ECS, S3, Lambda, EC2, IAM)
  • Containers & Orchestration: Docker, Kubernetes
  • Data & Streaming: Kafka, Postgres, OpenSearch
  • CI/CD: GitHub Actions, GitLab CI
  • Monitoring: Datadog, Prometheus, Grafana
  • Version Control: Git (Gitlab / Github)

Why Join Benzinga
  • Build and ship production AI systems that shape how financial markets understand information.
  • Operate with full creative freedom - explore, experiment, and execute your ideas end-to-end.
  • Work with a lean, highly technical team where initiative and ownership are celebrated.
  • Fully remote, high-trust environment that rewards curiosity, speed, and execution.
Benzinga logo

About Benzinga

Sourced by ZipRecruiter

Benzinga is a full-service news and media company with three main areas of expertise: real-time news, actionable trading ideas and insightful commentary. We offer coverage of all aspects of the financial market including corporate, economic and political content. With strong connections in and around the market, we strive to provide high quality and relevant news for the real-time environment that defines today's world.

Industry

Video and audio streaming services

Company size

11 - 50 Employees

Headquarters location

Detroit, MI, US

Year founded

2010

Social media

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