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Worldwide Remote Data Jobs

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Today

Senior Data Engineer

LorganTech Remote 🌍 Remote

Remote

Today

$60 - $65/hr Full time Senior Aws Data Engineer Azure Data Engineer

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Job Description

Lorgan Tech Solutions, LLC is seeking a Senior Data Engineer to build and optimize enterprise-grade data platforms with Databricks and Delta Lake.

Responsibilities

Develop and maintain scalable ETL/ELT pipelines using Databricks, PySpark, and SQL
Implement Bronze, Silver, and Gold layers using Delta Lake and medallion architecture
Build reliable batch and streaming pipelines with incremental processing, deduplication, and recovery capabilities
Design data models and curated datasets for reporting, analytics, and downstream applications
Optimize Spark workloads, including cluster configuration and query performance
Implement data quality checks, monitoring, logging, and error handling
Manage data access, governance, and lineage using Unity Catalog
Automate deployments using Git and CI/CD practices
Collaborate with architects, analysts, and business stakeholders
Mentor engineers and contribute to technical design and code reviews

Requirements

10+ years of professional Data Engineering experience
Strong hands-on experience with Databricks, Apache Spark, PySpark, and SQL
Proficiency in Python and distributed data processing
Experience with Delta Lake, medallion architecture, and data modeling
Experience with at least one cloud platform: Azure, AWS, or GCP
Knowledge of orchestration using Databricks Workflows, Airflow, or Azure Data Factory
Experience implementing incremental loads, CDC, and data validation
Familiarity with Unity Catalog, security, and data governance
Experience with Git, CI/CD, and production troubleshooting
Strong communication, problem-solving, and collaboration skills

Technologies

Databricks
PySpark
SQL
Apache Spark
Python
Delta Lake
Unity Catalog
Git
CI/CD
Databricks Workflows
Airflow
Azure Data Factory
Azure
AWS
GCP

Preferred Qualifications

Experience with Auto Loader, Structured Streaming, or declarative pipelines
Familiarity with dbt, Terraform, and infrastructure automation
Databricks certification

Work Location

Remote

Compensation

USD 60 - 65 per hour

How to Apply

Email: hr@lorgantechsol.com
Subject: Senior Data Engineer – Databricks
Include your current location, availability, and a brief summary of your Databricks experience

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17d ago

Senior Data Engineer

The Hanover Insurance Group Remote 🌍 Remote

Remote

17d ago

$105k - $130k/yr Full time Senior Data Engineer Data Engineering

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Job Description

The Senior Data Engineer will lead end-to-end design, development, implementation, and optimization of enterprise data integration and warehousing solutions. This role supports remote work and can be based in Worcester, MA, with collaboration across internal teams, external vendors, and multiple database and data lake environments.

Responsibilities

Lead a team of developers, including internal members and vendor resources, to deliver end-to-end enterprise data integration and warehousing solutions.
Design, build, and maintain robust ETL pipelines to bridge source systems with target analytics platforms and support scalable data models.
Partner with external vendors and collaborate with data architects, business analysts, and reporting teams to translate complex business requirements into high-performing technical solutions across Oracle, SQL Server, DB2, and data lake environments.
Coordinate with business stakeholders to define work priorities and act as a data and technology lead on cross-functional teams delivering data and reporting solutions.
Support data operations alongside external vendor teams.
Design, implement, and test complex data mappings and transformations using Informatica PowerCenter.
Optimize ingestion pipelines for scale, performance, reliability, and cost efficiency.
Perform SQL performance tuning, including partitioning, Pushdown Optimization (PDO), and stored procedures in Oracle, SQL Server, and DB2.
Use Linux scripting and enterprise job scheduling software to support and automate data workflows.
Work with diverse integration connectors, including APIs, files, SFTP/FTPS, Streaming Data, database connectors, SOAP, and REST.
Implement data governance and architecture practices, including functional data modeling knowledge, governance frameworks, and metadata management strategies.
Enforce data quality, data security protocols, and strict industry compliance standards.
Provide operations and troubleshooting expertise for large data sets, including debugging and continuous monitoring and maintenance of active data pipelines.
Deliver team leadership through professional communication, mentoring, coaching, and guidance for junior development team members.
Document data processes, workflows, and complete technical ETL solutions.

Requirements

Bachelor’s degree or higher in Computer Science, Information Systems, Business Information Technology, or an equivalent field.
5+ years of professional, hands-on experience in data engineering, data architecture, or data integration.
Must be eligible to work in the United States without requiring sponsorship now or in the future (US Citizen or Green Card holder).

Technologies

Informatica PowerCenter
ETL (Extract, Transform, Load)
SQL
Oracle, SQL Server, DB2
Data lake
Linux scripting
APIs, SFTP, FTPS
Streaming Data, SOAP, REST
Git/GitHub
CI/CD pipelines
Power BI, OBIEE, Hyperion Essbase

Benefits

Medical, dental, vision, life, and disability insurance
401K with a company match
Tuition reimbursement
PTO
Company paid holidays
Flexible work arrangements
Cultural Awareness Day in support of IDE
On-site medical/wellness center (Worcester only)

Bonus Points

Experience working within Agile development methodologies and modern DevOps environments
Hands-on experience using Git/GitHub for version control and CI/CD pipelines
Familiarity with BI reporting tools like Power BI, OBIEE, Hyperion Essbase
Master’s degree in Information Systems, Business Information Technology, or an equivalent field

Additional Job Details

Job Family: Data - Data Engineering
Job Function: Data and Analytics
Pay Type: Salary
Education Level: Bachelor’s Degree
Salary Range: USD 105,000 - 130,000 per yearly
Minimum Rate: 105,000 USD
Maximum Rate: 130,000 USD
Location: Remote work arrangement; Worcester, MA, USA

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19d ago

Senior Data Engineer

Quadrant Technologies Remote 🌍 Remote

Remote

19d ago

$60 - $70/hr Full time Senior Business Intelligence Data Engineer

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Job Description

The Senior Data Engineer role at Quadrant Technologies focuses on end-to-end solution design, development, and delivery using Microsoft Fabric and Power BI. The position includes active client communication to align technical direction with business requirements and ensure deliverables are completed successfully.

Role Focus

You will design, build, and implement data solutions leveraging Microsoft Fabric and Power BI, including development work that supports a Semantic Model. This role also includes participation in technical discussions with client teams to gather requirements and recommend appropriate approaches.

Responsibilities

Design, develop, and implement solutions using Microsoft Fabric and Power BI.
Collaborate with client teams to understand business requirements and propose suitable technical solutions.
Lead technical discussions and manage stakeholder expectations throughout the engagement.
Own deliverables from requirement gathering through development, deployment, and completion.
Support solution quality, timely delivery, and alignment with client expectations.

Required Experience

Microsoft Fabric: 3 years (Required)
Power BI: 5 years (Required)
Data Engineer: 8 years (Required)
Semantic Model: 5 years (Required)

Requirements

8–10 years of relevant experience, preferably with deep hands-on expertise in Microsoft Fabric and Power BI.
Strong technical capability and problem-solving skills.
Excellent communication skills with the ability to work directly with clients.
Proven ability to manage deliverables independently and drive them to completion.

Technologies

Microsoft Fabric
Power BI
Semantic Model

Location

Remote

Compensation

USD 60.00 - 70.00 per hour

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19d ago

Junior Data Scientist - AI Trainer

micro1 Remote 🌍 Remote

Remote

19d ago

$150 - $200/hr Contract Ai Training Artificial Intelligence Data & Ai

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Job Description

micro1 is hiring a Junior Data Scientist - AI Trainer contractor to support a remote AI evaluation effort in partnership with a leading AI lab.

Responsibilities

Assess AI model outputs on data science, statistics, machine learning, and quantitative tasks
Develop expert-level prompts, datasets, and reference solutions
Spot issues including flawed methodology, statistical errors, and weak quantitative reasoning
Deliver structured feedback intended to improve model capability

Requirements

Minimum 1 year of experience working at a top company (tech, finance, or research)
At least part of the experience must be within the past 3 years
Must be based in an English-speaking country
Ability to communicate technical and statistical concepts clearly in writing

Benefits

Flexible schedule

Compensation

Pay rate: USD 150 - 200 per hour
Expected hours: 40.0 per week
Compensation is based on approved work completed and accepted through the project’s quality review process
Specific payment rates and terms will be provided during onboarding

Work Location

Remote

Job Type

Contractor

Hiring Process

Hiring process uses artificial intelligence tools to assist with candidate screening and assessment
AI tools are designed to complement, not replace human decision-making

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20d ago

AI Engineer

Amentum Remote 🌍 Remote

Remote

20d ago

$195k - $250k/yr Full time Ai Engineer Application Security Artificial Intelligence

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Job Description

Amentum is seeking an AI Engineer to design, build, and deploy AI capabilities for secure use in classified and disconnected customer environments. The work emphasizes retrieval-augmented generation (RAG) and fine-tuning open-weight language models, including hosting models on Government infrastructure.

Role Responsibilities

Design, build, and deploy versatile AI systems by integrating machine learning models into production software.
Connect data science approaches with traditional software engineering, covering data preprocessing, model selection, API development, and scalable cloud infrastructure.
Design, build, and deploy AI capabilities that operate inside classified and disconnected customer environments.
Support customers and internal teams in understanding what the technology can deliver and how to adopt it responsibly.

Key Requirements

Strong fundamentals in large language models, including transformer architecture, tokenization, embeddings, context windows, inference parameters, and common failure modes such as hallucination and prompt injection.
Experience applying retrieval-augmented generation (RAG) design patterns, including chunking strategies, embedding model selection, vector and hybrid search, reranking, and retrieval evaluation.
Knowledge of model adaptation methods such as supervised fine-tuning, parameter-efficient fine-tuning (LoRA, QLoRA), and distillation, including knowing when each approach can outperform prompting or RAG alone.
Familiarity with the open-weight model ecosystem (Llama, Mistral, Qwen, Gemma, or similar), plus experience navigating licensing, provenance, and supply chain considerations for Government deployments.
Experience with security and compliance frameworks for classified environments, including RMF and the ATO process, ICD 503, the NIST AI Risk Management Framework, and handling requirements for CUI and classified data.
Demonstrated experience designing, building, and deploying at least one RAG application for real users, including document ingestion, chunking, embedding selection, vector store configuration, and retrieval evaluation.
Demonstrated experience fine-tuning or adapting open-weight LLMs (LoRA, QLoRA, or full supervised fine-tuning) and evaluating results against a defined benchmark.
Experience hosting and serving models directly on GPU infrastructure (vLLM, TGI, NVIDIA Triton, or similar), including GPU sizing and quantization tradeoffs.
Experience delivering AI in disconnected or classified environments, including moving models, containers, and dependencies across an air gap and supporting the system through ATO.
Experience building access controls retrieval pipelines so users retrieve only content aligned to their clearance, compartments, and need-to-know.
Experience building LLM evaluation and guardrails, including accuracy testing, hallucination measurement, red teaming, and prompt injection defense.
Experience building document ingestion pipelines for large, unstructured collections, including parsing, OCR, metadata tagging, and preserving classification markings.
Proficiency in Python and at least one LLM orchestration framework (LangChain, LlamaIndex, Semantic Kernel, or similar), plus containerization with Docker and Kubernetes.
Ability to explain AI concepts, tradeoffs, and limitations clearly to technical and nontechnical audiences, including Government leadership.
Ability to translate mission requirements into working AI architecture and select the right approach (prompting, RAG, fine-tuning, or agents) for each problem.
Ability to evaluate emerging models and tools quickly and recommend adoption within customer security constraints.
Ability to lead technical work across engineering, security, and mission teams.
Ability to balance delivery speed with customer security, compliance, and governance requirements.

Security Clearance

Active TS/SCI with Polygraph.

Education and Experience

Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, or a related technical field.
We consider an equivalent combination of education and relevant experience in place of a degree.
Minimum 5 years of professional experience in software engineering, machine learning engineering, or data engineering.
At least 2 years designing, building, and deploying LLM or machine learning applications that real operational or business users rely on.

Technologies

Python, LangChain, LlamaIndex, Semantic Kernel, Docker, Kubernetes
vLLM, TGI, NVIDIA Triton
LoRA, QLoRA, transformer architecture, RAG
RMF, ATO process, ICD 503, NIST AI Risk Management Framework

Location and Schedule

Location: Remote (remote)
Work schedule: 5 days a week, 8 hours a day

Work Environment, Physical Demands, and Mental Demands

Hybrid or modern office environment equipped with high-performance computing infrastructure and advanced cloud collaboration tools.
Cross-functional collaboration across technical development teams and corporate executives to align data strategies with business goals.
Environment can be fast-paced and high-pressure, requiring constant adaptation to evolving technologies.

Salary

USD 195,000 - 250,000 per year

Benefits

Health, dental, and vision insurance
Paid time off and holidays
Retirement benefits (including 401(k) matching)
Educational reimbursement
Parental leave
Employee stock purchase plan
Tax-saving options
Disability and life insurance
Pet insurance

Preferred Qualifications

Prior roles as an AI Engineer, Machine Learning Engineer, Software Engineer, Data Engineer, or Solution Architect with direct build responsibility.
Experience supporting Intelligence Community, DoD, or Federal customers.
Experience deploying AI workloads in classified cloud regions (AWS Secret or Top Secret, Azure Government Secret or Top Secret) or on GPU clusters the Government owns and operates.
Experience building agentic workflows that call tools, APIs, or other systems, including Model Context Protocol (MCP) or similar integration standards.
Experience with MLOps or LLMOps practices, including model versioning, CI/CD for models, monitoring, and drift detection.
Experience preparing or contributing to ATO packages for systems that include AI or machine learning components.
Experience with enterprise AI platforms such as Microsoft 365 Copilot, Azure AI Services, or Amazon Bedrock in Government cloud regions.
Experience coaching teams on effective AI use and building business cases that quantify productivity gains from AI adoption.

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21d ago

Machine Learning Engineer

Spectrix Analytical Services, LLC Remote 🌍 Remote

Remote

21d ago

$48 - $58/hr Contract Artificial Intelligence Aws Ml Cloud Machine Learning

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Job Description

Contract remote role for a Machine Learning Platform and Agentic AI Engineer building compute, MLOps, and tooling that supports protein therapeutic design.

Responsibilities

Develop and maintain production Python services, pipelines, and CLI tooling.
Build and maintain Helm charts, container images, and deployment infrastructure as part of the daily workflow.
Deploy and operate workloads on Kubernetes across multiple AWS regions and AWS accounts.
Instrument pipelines and models so performance, cost, and benchmark results are measurable.
Collaborate with scientists and engineering leads to decide what to build.
Support adoption through documentation and hands-on help.

Requirements

Bachelor’s degree with 7–10 years of relevant experience, or Master’s degree with 5+ years of relevant experience.
Strong Python development skills with experience building production-grade tooling or pipelines.
Working knowledge of Kubernetes, Helm, and container-based deployments.
Experience developing, deploying, or optimizing machine learning pipelines in production.
Familiarity with infrastructure-as-code and CI/CD practices.
AWS experience, including multi-region or multi-account deployments.
Data warehousing and ELT pattern experience, with Snowflake preferred.
Experience working on a small team (approximately 3–10 engineers) with end-to-end ownership, self-directed prioritization within goals, and shipping without dedicated QA, SRE, or release functions.
Routine use of agentic coding harnesses such as Claude Code, OpenCode, Codex, or equivalent, including judgment on where they help and where they do not.
Willingness to learn computational biology and protein science domains.
Effective communicator able to work independently in a remote environment and collaborate with engineers and scientists.

Key Work Areas

Extend the Kubernetes orchestration platform and the workflows running on it, including migrating existing application backends onto it.
Make the platform region-agnostic so compute can be scheduled in new AWS regions and accounts via configuration rather than code changes.
Build model registration, versioning, and the serving path so model outputs are available to scientific applications and downstream reporting.
Integrate model output with the data layer rather than keeping it as per-project artifacts.
Build automated benchmarking and retraining for computational tools, LLM models, and agent skills used in de novo design.
Include GPU-backed benchmarking of larger models, test-set and dataset tracking, and persistent benchmark result history over time.
Incorporate agentic AI into existing scientific applications by defining tools and skills, creating evaluation harnesses, and adding the plumbing that lets agents call internal services safely.
Build S3-to-Snowflake data pulls and automated registration of de novo design results, including monitoring and backfill behavior without manual intervention.
Reduce runtime and cost of existing production pipelines through profiling, GPU utilization, batching, scheduling, and container image work.

Technologies

Python
Kubernetes
Helm
Containerized deployments
AWS
S3
Snowflake
CI/CD
Infrastructure-as-code
Claude Code
OpenCode
Codex

Compensation & Employment

Location: Remote
Job type: Contract
Pay: USD 48–58 per hour

Benefits

Automatic benefits of life insurance and short and long term disability insurance
Optional health, dental, and vision insurance for full time employees
College loan assistance
Employer matched retirement savings plan

Company Overview

Spectrix Analytical Services, LLC provides on-site analytical chemistry services with reliable, high-quality results since 1999.
Team of experienced scientists supports R&D across various industries by generating precise analytical data and maintaining sophisticated instrumentation directly at clients’ laboratories.

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21d ago

Senior Data Scientist - AI Engineer

American Radiologist Network Inc Remote 🌍 Remote

Remote

21d ago

$180k - $250k/yr Full time Senior Artificial Intelligence Data Pipeline

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Job Description

American Radiologist Network Inc is building a diagnostic intelligence platform that advances clinical decision support using state-of-the-art, multimodal imaging models. In this remote role, you will lead end-to-end work that spans academic-level research and production deployment across CT, MRI, X-ray, ultrasound, and multimodal fusion, with a focus on regulatory expectations for medical AI.

What you’ll do

Drive ideation, research, and development of next-generation models across CT, MRI, X-ray, ultrasound, and multimodal fusion architectures.
Lead deep research efforts, including novel model design, benchmarking, ablation studies, and scientific validation.
Convert research findings into production-ready systems, emphasizing reliability, scalability, and clinical relevance for real-world diagnostic workflows.
Build and manage pipelines for dataset ingestion, cleaning, labeling, augmentation, multimodal alignment, and large-scale imaging data management.
Perform expert-level model evaluation, error analysis, robustness testing, and optimization for high-performance inference.
Ensure workflows meet high regulatory standards for medical AI, including data governance, auditability, and reproducibility.
Partner with engineering, product, and clinical teams to deliver models that support diagnostic intelligence and clinical decision support.

Required qualifications

Master’s Degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Biomedical Engineering, or a closely related technical field.
Expert proficiency in PyTorch, TensorFlow, Ultralytics YOLO, MONAI, and the Hugging Face ecosystem.
Demonstrated experience with medical imaging datasets, DICOM workflows, PACS systems, and radiology modalities.
Hands-on experience with dataset curation, annotation, and quality control tools including FiftyOne, Roboflow, Labelbox, V7, or Encord.
Proven ability to lead research initiatives and publish or present advanced imaging work at academic or industry venues.
Strong background in segmentation, detection, multimodal architectures, and imaging-specific preprocessing pipelines.
Experience deploying models using Core ML, ONNX Runtime, NVIDIA TensorRT/DeepStream, or major cloud ML platforms (Azure, AWS, GCP).
Solid engineering foundation in Python, GPU computing, and Docker/Kubernetes for scalable ML systems.
Familiarity with regulatory frameworks for medical AI, including data privacy, auditability, and reproducibility standards.

Experience

Machine learning: 5 years (Required)
DICOM: 3 years (Required)
AI: 5 years (Required)
Python: 5 years (Required)
Clinical information systems: 2 years (Preferred)

Technology stack

PyTorch, TensorFlow, Ultralytics YOLO, MONAI, Hugging Face
FiftyOne, Roboflow, Labelbox, V7, Encord
Core ML, ONNX Runtime, NVIDIA TensorRT, DeepStream
Azure, AWS, GCP, Python, Docker, Kubernetes
DICOM, PACS

Benefits

401(k)
401(k) matching
Dental insurance
Flexible schedule
Health insurance
Paid time off
Retirement plan
Vision insurance

Preferred fit

Prior collaboration with radiologists, imaging scientists, or clinical imaging teams.
Experience building multimodal (vision + text) diagnostic or triage models.
Experience working in a start-up environment with small teams to develop ideas for global impact.