Jobs in the United States

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Added 6 mins ago
GA
Director, Architecture and Data
GE Aerospace
Minnetonka, MN
- $152,000 to $202,000 USD / year
Supervise the Data Fabric engineers (Sr Staff TPM–Data, Principal Data & Information Architect, Sr Staff Data Engineer, Staff Data Engineer) in a matrixed arrangement, keeping their written…
Added 6 mins ago
Capital One Shopping Tech, Data Engineer 5 (Remote- Eligible)
Capital One
Saint Paul, MN
Utilize programming languages such as Python and Spark, along with open-source relational and NoSQL databases, and cloud-based data warehousing platforms including Databricks and Snowflake
Added 6 mins ago
C
Senior .NET Full Stack Engineer with C#
Cognizant
Saint Paul, MN
- $86,000 to $99,000 USD / year
As a Senior .NET Full Stack Engineer with C#, you will make an impact by designing and developing scalable enterprise applications that support healthcare payer operations, including…
Added 6 mins ago
C
Senior Full Stack Engineer – .NET & C#
Cognizant
Saint Paul, MN
- $86,000 to $99,000 USD / year
As a Senior Full Stack Engineer – .NET & C#, you will make an impact by designing and developing scalable enterprise applications that support healthcare payer operations, including…
Added 6 mins ago
Senior Network Engineer
Cognizant
Saint Paul, MN
We are seeking an experienced Senior Network Engineer to design, implement, secure, operate, and optimize enterprise data-center, campus, branch, wireless, and hybrid-cloud networks. The…
Added 6 mins ago
C
Data Quality Engineer (Databricks & dbt)
Cognizant
Saint Paul, MN
- $70,000 to $117,000 USD / year
We are seeking a Data Quality Engineer to ensure the accuracy, consistency, and reliability of enterprise data platforms. The ideal candidate will design and automate data quality testing…
Added 6 mins ago
C
GCP data Engineer
Cognizant
Saint Paul, MN
- $100,000 to $120,000 USD / year
Cognizant is seeking an experienced Knowledge Graph Data Engineer to build and operate the connectivity, profiling, and graph/search foundation that powers enterprise ontology and knowledge…
Added 6 mins ago
C
Senior Knowledge Graph & Ontology Architect
Cognizant
Saint Paul, MN
- $130,000 to $160,000 USD / year
Google Cloud Professional Data Engineer, Professional Cloud Architect, or equivalent cloud certifications.
Added 6 mins ago
A
Gemini Enterprise for CX Sr. Engineer
Accenture
Minneapolis, MN
- $94,400 to $266,300 USD / year
A hands-on Senior Engineer with strong experience in Google’s Gemini Enterprise for Customer Experience (GECX) Solutions - now building deep expertise in Google Cloud Platform (GCP). You…
Added 11 mins ago
SI
Forward Deployed Engineer Specialists (FDE) (Mid/Senior Level)
Salesforce, Inc.
NY
- $148,500 to $285,800 USD / year
Build and integrate data pipelines on Salesforce Data 360, Snowflake, Databricks, and customer data platforms. Model the data, ship the pipeline, validate the output
Added 12 mins ago
Devops Platform Engineer
Advanced Micro Devices, Inc
San Jose, CA
We are seeking a hands-on Platform Engineer to build and operate the infrastructure foundations that enable engineering teams to deliver reliable, scalable, and secure products. This role…
Added 19 mins ago
Senior API & Integration Engineer
Vast Bank
Remote, United States
The Senior API & Integration Engineer is a hands-on technical role responsible for designing, developing, securing, and supporting integrations that connect Vast Bank’s core banking,…
Added 24 mins ago
ASIC Design Engineer, Cloud TPU
Google
Sunnyvale, CA
…computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of…
Added 39 mins ago
Senior Data Engineer - MongoDB and PostgreSQL
CVS Health
Remote, United States
The ideal candidate will possess strong expertise in operational data platforms, CDC technologies, data replication, PostgreSQL, MongoDB, and cloud-native data engineering. This individual…
Added 39 mins ago
ET
Machine Learning Data Engineer
EdgeQ Technologies Private Limited
Remote, United States
- $110,000 to $175,000 USD / year
The candidate should have strong expertise in Python, SQL, ETL/ELT pipelines, cloud data platforms, big data technologies, and machine learning data workflows.
Added 39 mins ago
ET
GIS Software Engineer
EdgeQ Technologies Private Limited
Remote, United States
- $75,000 to $135,000 USD / year
We are seeking a talented and detail-oriented GIS Software Engineer to join our technology team in the United States. The ideal candidate will be responsible for developing, implementing,…
Added 39 mins ago
Software Engineer – Full Stack (JavaScript & Python)
HTC Global Services Inc
Dearborn, MI
Software Engineer – Full Stack (JavaScript & Python) Overview / Summary
Added 43 mins ago
Senior Infrastructure Engineer
Mach Industries
Huntington Beach, CA
Relevant cloud, networking, or automation certifications; experience building self-service platforms used by multiple teams.
Added 43 mins ago
Infrastructure Engineer
Mach Industries
Huntington Beach, CA
…company focused on developing next-generation autonomous defense platforms. At the core of our mission is the commitment to delivering scalable, decentralized defense systems that enhance…
Added 47 mins ago
Design Verification Engineer Intern (Summer 2027)
MIPS Holding Inc
TX
GlobalFoundries (GF) is a leading manufacturer of essential semiconductors, enabling AI at scale from the cloud to the physical world. Through deep partnerships with customers, GF delivers…
Added 54 mins ago
TT
Senior Software Engineer, Autonomous Systems
True Talent Solutions Partners
Palo Alto, CA
- $145,000 to $275,000 USD / year
…software for operational and tactical missions. You will develop cloud and edge services that connect sensors, autonomous platforms, and AI-enabled decision-making in high-stakes…
Added 56 mins ago
CI
Staff Software Engineer, Agentic Tools
Cribl, Inc
Denver, CO
- $210,000 to $245,000 USD / year
Own critical pieces of agent runtime: job isolation, scheduling, execution environments, secrets and access, and production operations in the cloud
Added 1 hour ago
Lead Full Stack Java Engineer
Wells Fargo Bank, N. A.
CHARLOTTE, NC
Strong experience developing and supporting cloud-native applications deployed on Kubernetes-based platforms such as AKS, OpenShift (OCP), Azure, or other container orchestration…
Added 1 hour ago
Sr Consultant, Software Engineer (AI Engineer)
Nationwide Life and Annuity Insurance Co
OH · AZ · IA
Strong understanding of cloud, APIs, data and knowledge platforms, modern engineering practices, DevSecOps, observability, and the operating requirements of reliable AI Systems.
Added 1 hour ago
Senior Staff Security Engineer, Google Distributed Cloud
Google
Sunnyvale, CA · Kirkland, WA · Seattle, WA
Experience with cloud security concepts and technologies, including Identity and Access Management (IAM), encryption, data loss prevention, security information and event management, cloud…

EdgeQ Technologies Private Limited

Machine Learning Data Engineer

Remote, United States

$110,000 to $175,000 USD / year · Full-time

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Job details

Pay: $110,000 to $175,000 USD / year
Job type: Full-time
Posting language: English

Original job description

Machine Learning Data Engineer Job Title: Machine Learning Data Engineer Location: United States (Remote) Work Mode: 100% Remote Experience: 3–8 Years Salary Range: $110,000 – $175,000 per year (USD) Employment Type: Full-Time Job Category: Artificial Intelligence / Machine Learning / Data Engineering Job Summary We are seeking a skilled and experienced Machine Learning Data Engineer to join our growing AI and Data Engineering team in the United States. The ideal candidate will be responsible for designing, developing, and maintaining scalable data pipelines, data infrastructure, and data processing systems that support machine learning and artificial intelligence applications. The candidate should have strong expertise in Python, SQL, ETL/ELT pipelines, cloud data platforms, big data technologies, and machine learning data workflows. This position offers a fully remote work opportunity for qualified candidates across the United States.

Key Responsibilities

Design, develop, and maintain scalable data pipelines for machine learning and AI applications.
Build and optimize ETL/ELT workflows for structured and unstructured datasets.
Develop data ingestion, transformation, validation, and processing solutions.
Collaborate with Data Scientists, ML Engineers, and AI teams to prepare high-quality training datasets.
Implement data preprocessing, feature engineering, and feature extraction pipelines.
Manage large-scale datasets using distributed processing technologies.
Develop and maintain cloud-based data infrastructure.
Implement data quality checks, monitoring, and automated validation processes.
Optimize data storage, retrieval, and processing performance.
Support machine learning model training, evaluation, and deployment workflows.
Integrate data from APIs, databases, streaming platforms, and external sources.
Implement data governance, security, and compliance best practices.
Maintain technical documentation and participate in code reviews.

Required Skills & Qualifications

3–8 years of professional experience in Data Engineering, Machine Learning Data Engineering, or related roles.
Strong programming skills in Python and SQL.
Hands-on experience building ETL/ELT pipelines.
Experience with Apache Spark, PySpark, or similar distributed processing frameworks.
Strong knowledge of relational and NoSQL databases.
Experience with AWS, Microsoft Azure, or Google Cloud Platform.
Familiarity with data warehouses such as Snowflake, BigQuery, Redshift, or Databricks.
Experience with Apache Airflow, Dagster, or similar workflow orchestration tools.
Understanding of machine learning data preparation and feature engineering.
Knowledge of data modeling, data lakes, and lakehouse architectures.
Experience with Git, CI/CD, and automated testing.
Strong analytical, debugging, and problem-solving skills.

Preferred Qualifications

Bachelor's or Master's degree in Computer Science, Data Science, Information Technology, Engineering, or a related field.
Experience with MLflow, Kubeflow, Feast, or other MLOps and feature store technologies.
Familiarity with TensorFlow, PyTorch, or Scikit-learn.
Experience with Apache Kafka or real-time streaming pipelines.
Knowledge of Delta Lake, Apache Iceberg, or Apache Hudi.
Experience supporting Generative AI and LLM data pipelines.
Familiarity with vector databases such as Pinecone, Weaviate, or Milvus.
Knowledge of Docker, Kubernetes, and infrastructure automation.
Experience with data governance, lineage, and privacy frameworks.

Salary & Benefits

Annual Salary: $110,000 – $175,000 USD (Indicative range based on experience and technical expertise).
Competitive compensation and performance-based incentives, where applicable.
100% remote work opportunity.
Flexible working arrangements.
Health, dental, and vision insurance.
Paid time off and holidays.
Retirement savings benefits, where applicable.
Professional development and technical certification support.
Career growth and advancement opportunities.

Work Location United States – Fully Remote

Candidates from eligible locations across the United States are encouraged to apply.
Applicants must be legally authorized to work in the United States.
Ability to collaborate with distributed teams across different US time zones.
Occasional virtual meetings and collaboration with engineering stakeholders may be required.

How to Apply Interested candidates can submit their updated resume along with contact details, relevant Machine Learning Data Engineering experience, technical skills, and links to GitHub repositories or project portfolios. Equal Opportunity Employer: We welcome qualified candidates from diverse professional backgrounds and encourage applications from eligible candidates across the United States.

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More about this job

Skills

Machine learning
Data engineering
Python
SQL
ML
Statistical quality control
Data storage
Regulatory compliance
Documentation
Apache Spark
PySpark
NoSQL
AWS
Microsoft Azure
Google Cloud
Snowflake
BigQuery
Amazon Redshift
Databricks
Apache Airflow
Workflow
Data modelling
Git
CI/CD
Test automation
Debugging
Problem solving
Computer science
Computer technology
Mlflow
Kubeflow
TensorFlow
PyTorch
Scikit-learn
Apache Kafka
Docker
Kubernetes

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