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Location-Specific Remote Developer Jobs

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All (470) 🌍 Worldwide (172) 🇺🇸 US (281) 📍 Location-specific (17)

14d ago

Senior Data Engineer

Suncoast Credit Union Tampa, FL 📍 Florida Remote

Tampa, FL

14d ago

$86k - $115k/yr Full time Senior Azure Data Factory Azure Data Platform

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Job Description

Suncoast Credit Union seeks a Senior Data Engineer to design, evaluate, and test data infrastructure that turns raw inputs into usable information. This role supports ETL pipelines, data modeling and governance, analytics, and natural language processing capabilities, with close collaboration across business teams.

Key Responsibilities

Build systems and infrastructures to collect and process data aligned to company goals.
Build, evolve, and scale infrastructure to ingest, process, and extract meaning from data.
Design, develop, and implement statistical models for classification and information extraction.
Use existing data infrastructure to fulfill data requests, including data housekeeping, cleansing, normalization, hashing, and implementation of required data model changes.
Analyze data to identify anomalies, trends, and correlations across related datasets.
Design, develop, and implement natural language processing software modules.
Troubleshoot data platform and pipeline issues, identify potential solutions, and resolve accordingly.
Partner with business counterparts to define requirements for provisioned data and update defined requirement document templates.
Work with the manager to translate business requirements into schema and data model decisions.
Ensure design efficiency to minimize data refresh lag between systems so reporting stays timely.
Deploy data architectures based on manager-established standards that support Suncoast’s data strategy and information architecture needs.
Follow measurable processes, tools, and engineered data management solutions supporting data platforms such as data warehouse, data lakes, visualization tools, master data management, and advanced analytics tools.
Design and develop ETL processes to extract data from multiple source systems, transform it into a usable format, and load it into data platforms.
Establish data governance and quality best practices and standard operating procedures.
Utilize Azure Data Factory to create pipelines for creating, moving, and transforming data across the data stack.
Architect advanced data solutions for current and future data processes.
Provide mentorship to teammates and offer advisory support.
Maintain knowledge of current trends, laws, and issues affecting the area of expertise.
Attend educational events to support professional development.
Complete annual compliance and information security training to understand employee responsibilities for effective compliance and security programs.

Required Qualifications

Bachelor’s degree in finance, economics, computer science, mathematics, or a related field (a comparable combination of work experience and training may substitute).
7+ years of experience making data usable to end users in a complex data environment.
7+ years of experience with Microsoft SQL Server platforms, including SSRS, SSAS, stored procedure creation, trigger definition and implementation, optimization and indexing, and foundational knowledge of views, tables, database DDL, and SQL Server Integration Services (SSIS).
Experience using Development Transact SQL.
Microsoft Azure experience (5 years): portal and resource navigation.
Azure Data Factory experience (5 years): developing pipelines, pipeline activities, troubleshooting, and related tasks.
Experience with REST API.
Experience with GitHub for creating, updating, and submitting code.
Agile methodology experience (1 year), including Kanban and limiting work in progress.
Experience developing ETL processes.
Experience with Delta Lakes and Lakehouse Architecture.
2+ years of experience designing data structures for a production environment.
Ability to prioritize tasks amid competing and changing priorities to meet deadlines.
Accurate, detail-oriented, and organized with task management.
Ability to analyze and resolve difficult and often complex problems.
Strong written, verbal, and interpersonal communication skills for working with members, staff, vendors, and government regulators.
Strong knowledge and understanding of credit union products, services, policies, and procedures.
Strong knowledge and understanding of regulatory compliance.
Strong knowledge and understanding of credit union computer systems and required software applications.

Technologies

Microsoft SQL Server, SSRS, SSAS
Stored Procedure Creation
Trigger definition and implementation
SQL Server Integration Services (SSIS)
Development Transact SQL
Microsoft Azure
Azure Data Factory
REST API
GitHub
Agile Methodology and Kanban
Delta Lakes
Lakehouse Architecture

Compensation and Employment Details

Salary Range: USD 86,000 - 115,000 per year (based on credentials and experience).

Position Type: Full Time

Location: Remote (candidate must reside in Florida)

Benefits

Bonus Program up to 12%
401K Matching up to 8%
Retirement Planning
Pay Increases based on Competency
Employee Loan Discounts
Flex Spending Accounts
Medical Coverage
Dental and Vision Coverage
Access to 4,000+ Gyms
Mental Health Resources
PTO Wellness Days
Short Term and Long Term Disability Coverage
11 Paid Holidays
3 weeks of Paid Time Off
4 weeks of Paid Parental Leave
Birthday PTO
Paid Volunteer Hours
Degree Assistance up to $5,000 per year

For more information, including additional benefits, visit the benefits website: https://careers.suncoastcreditunion.com/benefits.

Company Overview

Suncoast Credit Union is consistently chosen as a Tampa Bay Times Top Workplace due to an inclusive culture focused on growth and community. For more information, visit the careers site: https://careers.suncoastcreditunion.com/.

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23d ago

Machine Learning Engineer

GitHub, Inc. Remote 📍 United States Remote

Remote

23d ago

$108k - $286k/yr Full time Agentic Ai Ai Enabled Security Ai Security

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Job Description

GitHub is hiring an experienced Machine Learning Engineer to design, build, and deploy agentic LLM-based solutions that help detect and prevent fraud, abuse, and security threats at scale.

Responsibilities

Design, build, and deploy agentic LLM solutions for fraud, abuse, and security threat detection and prevention, including uses such as content classification and multi-step agentic investigations.
Develop production-grade systems that run reliably with high-volume event streams, leveraging AI coding assistants to accelerate and improve engineering output.
Build and operate scalable ML systems on cloud platforms (for example, Azure AI Foundry) to train, deploy, and serve models and agentic solutions in production.
Evaluate and improve models and agentic systems using offline evaluations, including tool-use loops and LLM-as-judge evaluation, plus performance metrics and feedback from production deployments.
Identify product vulnerabilities that enable abuse and provide consultation to product teams on reviewing new features.
Collaborate with cross-functional partners, including data scientists, software engineers, product managers, and content moderators, to integrate agentic solutions into production systems.
Document the systems you build and support the technical growth of peers.

Requirements

4+ years experience in machine learning or a related field.
OR a Bachelor’s Degree in Computer Science, Software Development, Electrical or Computer Engineering, Mathematical Sciences, or a related field, plus 2+ years experience in machine learning or a related field.
OR a Master’s Degree in Machine Learning, Computer Science, Software Development, Electrical or Computer Engineering, Mathematical Sciences, or a related field.
OR equivalent experience.
Strong understanding of large language models and hands-on experience applying them at scale, ideally for classification, agentic workflows, or agents.
Strong software engineering skills, including experience building with AI coding assistants.
Experience designing or evaluating agentic systems, such as tool-use loops, multi-step workflows, or LLM-as-judge evaluation.
Hands-on experience building and operating classification or detection systems at scale, including handling imbalanced data and precision/recall tradeoffs.
Experience in Trust and Safety, National Security, or fighting spam, malware, fraud, and threat actor activity at scale.
Experience with responsible AI and Safety-by-Design.
Experience managing user data and privacy.
Solid understanding of machine learning algorithms (including supervised and unsupervised learning and anomaly detection) and practical implementation.

Technologies

Large language models (LLMs)
Azure AI Foundry
Tool-use loops
LLM-as-judge evaluation
AI coding assistants
Machine learning
Precision/recall tradeoffs

What We Value

Collaboration
Empathy
Quality
Positive Impact
Shipping

Compensation

Base salary range: USD 107,700.00 - USD 285,900.00 per year

GitHub Leadership Principles

GitHub values: Customer-obsessed; Ship to learn; Growth mindset; Own the outcome; Better together; Diverse and inclusive
Manager fundamentals: Model; Coach; Care
Leadership principles: Create clarity; Generate energy; Deliver success

Location

Remote (United States)

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23d ago

Machine Learning Engineer

Twilio Remote 📍 Ireland Remote

Remote

23d ago

Full time AI Ai Ml Artificial Intelligence

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Job Description

Twilio is building AI-powered Conversation Intelligence capabilities for extracting meaning from voice and messaging data at scale, and they are hiring a Machine Learning Engineer to help take these ideas from design to production. This remote role focuses on end-to-end machine learning pipelines, operational monitoring, and reliable inference in real systems.

What you’ll do

Design and develop machine learning solutions with attention to accuracy, performance, security, and scalability.
Build and maintain end-to-end AI/ML pipelines covering data ingestion, feature engineering, model development, validation, and deployment, with guidance from senior engineers on complex architectural decisions.
Instrument AI/ML services using metrics, logging, and telemetry to monitor model performance and operational health against defined SLOs.
Join on-call rotations to support progressive rollouts and apply standard mitigation strategies to keep production inference services healthy.
Collaborate through planning, design, and code review, contributing to product and technical discussions and improving code quality through thoughtful feedback.

Requirements

Bachelor’s degree in Computer Science, Mathematics, Statistics, or a related quantitative field, or equivalent practical experience.
2+ years of experience in machine learning engineering or applied ML, with demonstrated proficiency in Python and at least one ML framework: PyTorch, TensorFlow, or JAX.
Familiarity with NLP libraries such as Hugging Face Transformers, NLTK, or SpaCy.
Experience developing, testing, and deploying small-to-medium scoped ML services or features in a collaborative engineering environment, including model versioning, experiment tracking, and cloud infrastructure such as AWS, GCP, or Azure.
Proficiency in Python (preferred) or another similar object-oriented language.
Experience using Large (or Small) Language Models within software systems.
Excellent written and verbal communication skills, including the ability to explain complex technical topics to both technical and non-technical audiences.

Desired focus areas

Hands-on experience with conversational AI, including LLM fine-tuning and prompt engineering in a production context.
Exposure to agentic AI frameworks such as LangGraph, AutoGen, or CrewAI.
Familiarity with MLOps/LLMOps tooling for maintaining models in production, including testing, versioning, model registry, retraining, and monitoring.

Technologies

Python, PyTorch, TensorFlow, JAX, Hugging Face Transformers, NLTK, SpaCy, AWS, GCP, Azure

Benefits

Competitive pay
Generous time off
Ample parental and wellness leave
Healthcare
A retirement savings program

Location and travel

Remote: This role is remote from Ireland.
Travel: Occasional travel may be required for project or team in-person meetings.

Recruitment fraud warning

Twilio will never ask for payment, gift cards, cryptocurrency, or banking information during recruiting.
Job offers are not made without a formal interview process, and interviews are not conducted exclusively through text-based messaging apps.
Use an official @twilio.com email address when engaging with recruiters.

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26d ago

Data Engineer - Business Analytics

Primoris Services Corporation Texas 📍 United States Remote

Texas

26d ago

$135k - $155k/yr Full time Analytics Azure Data Lakehouse Big Data

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Job Description

Primoris Services Corporation is hiring a Data Engineer - Business Analytics for a Texas (remote) role. You will design and optimize analytics-ready datasets in a modern Azure + Databricks data platform, with the curated semantic layer delivered in Databricks as part of a medallion architecture (Silver and Gold).

What you’ll do

Design, build, and maintain scalable data pipelines and curated datasets in the Databricks Lakehouse using Silver and Gold layers.
Develop and manage analytics-ready data models and semantic structures in Databricks that align to enterprise reporting needs.
Transform raw data into business-consumable datasets with standardized definitions, KPIs, and metrics.
Apply dimensional modeling and other modeling techniques within a distributed data environment.
Own the semantic layer within Databricks to support consistent definitions across reporting and analytics use cases.
Enable downstream consumption by visualization and analytics tools such as Power BI, with no reliance on embedded semantic modeling.
Partner with business analysts and reporting teams to improve usability, performance, and scalability of datasets.
Optimize data models and datasets for performance, including query efficiency for enterprise reporting workloads.
Ensure data quality, integrity, and consistency throughout the full data lifecycle.
Implement and enforce data governance including data security, masking, access controls, and cost controls.
Translate business requirements into scalable data solutions and align structures to the enterprise data dictionary and KPI definitions.
Communicate dataset structures and data model designs clearly to both technical and non-technical stakeholders.
Support the evolution of the enterprise analytics platform within Azure and Databricks.
Advance best practices for CI/CD, deployment automation, and data engineering standards.
Support advancing data capabilities, including AI/ML use cases where applicable.

What you bring

Bachelor’s degree in Information Technology, Computer Science, Business Analytics, or a related field.
6+ years of experience in data engineering, data modeling, or analytics engineering roles.
Strong expertise in Databricks Unity Catalog, SQL, and Python for transformation and pipeline development.
Proven experience designing and implementing data models within modern data platforms such as a Lakehouse architecture.
Experience with medallion architecture (Bronze/Silver/Gold layers).
Understanding of BI tools like Power BI, emphasizing dataset consumption rather than ownership of the semantic layer.
Experience with CI/CD pipelines, version control, and deployment processes.
Familiarity with Agile/Scrum delivery methodologies.

Tools you’ll work with

Databricks, Databricks Lakehouse, Databricks Unity Catalog
SQL, Python
Azure, Power BI
CI/CD pipelines, Agile/Scrum

Compensation & benefits

Pay range: USD 135,000 - 155,000 per year
Health/Dental/Vision insurance plans
401k with employer match
Paid time off
10 paid holidays
Stock purchase plan
Pay equity compensation range: USD 135,000 - 155,000

Working conditions

Occasional travel may be required.
Flexible work hours may be necessary to meet project deadlines.

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26d ago

Software Engineer C++

Luxoft Remote 📍 United States Remote

Remote

26d ago

Full time C/c++ C++ C++ Language

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Job Description

Luxoft is hiring a Senior Software Engineer C++ to support development focused on low-latency, high-performance systems. This is a remote opportunity for candidates in the United States, bringing strong C++ engineering and performance-oriented development practices to build, configuration, integration, and ongoing backlog delivery.

Responsibilities

Deliver build and configuration work
Implement refactoring efforts to improve and maintain code quality
Handle integration tasks across components
Complete backlog items as part of the delivery process

Requirements

Strong C++ capabilities
Experience with multi-threading and multi-core development
Ability to develop high-performance and low-latency solutions

Tech Stack

C++
C/C++

Communication

English: C2 Proficient

Location: Remote (Remote United States, United States of America)

Seniority: Senior

Req.: VR-124516

Category: BCM Industry

Posted: 13/08/2026

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26d ago

SAP Technical Developer

Summit Utilities Inc Fayetteville, AR 📍 Texas Remote

Fayetteville, AR

26d ago

Full time Backend Developer ABAP APIs

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Job Description

Summit Utilities Inc is hiring a SAP Technical Developer to implement and support the SAP ecosystem, with a primary focus on SAP IS-U (Fayetteville, AR, remote).

Responsibilities

Develop SAP technical solutions that align with business and functional requirements
Partner with system integrators and SAP to define technical approaches and architecture
Estimate work effort to support team planning and project management
Participate in code reviews and provide constructive feedback
Design, implement, and support Summit’s ERP landscape with a focus on high availability and disaster readiness
Own end-to-end software development lifecycle activities, including requirements analysis, configuration, development, testing, debugging, conversion, and deployment
Provide ongoing technical support and continuous improvement for ERP systems
Act as a technical lead within project delivery teams
Mentor and coach junior developers and other team members
Lead ERP integrations for newly acquired entities to support seamless transitions

Requirements

Bachelor’s degree in Computer Science, Information Technology, Engineering, or an equivalent combination of education and experience
SAP or ERP certifications preferred
Minimum 5 years of SAP IS-U ABAP development experience
Broad understanding of SAP IS-U components, including FI, CO, FICA, DM, EAM, C4C
Experience with collective accounts, data migration, and conversion projects
At least 2 years of experience with SAP S/4HANA implementation and support
Strong understanding of SAP IS-U business processes and integration points
Experience with SAP Fiori apps, SAP BTP, and SAP Private Cloud Edition preferred
Familiarity with cloud deployments, including Azure or AWS
Prior experience in the utility industry highly desirable
Deep understanding of the Meter to Cash lifecycle and key processes: business and technical master data, customer interaction, billing, meter reading, disconnections/reconnections, and bill print
Proven experience designing and implementing best practice SAP IS-U solutions
Strong experience with REST/API/OData services
Familiarity with integrated SAP platforms: SAP C4C, FSM, Ariba, Concur, Integration Suite is a plus
Excellent communication and interpersonal skills, including the ability to build trusted advisor relationships across IT and business stakeholders
Strong presentation, facilitation, and conflict resolution abilities
Ability to manage multiple projects and priorities in a dynamic, fast-paced environment
Analytical mindset with strong problem-solving abilities

Technologies

SAP IS-U
SAP S/4HANA
SAP BTP
SAP Private Cloud Edition
SAP IS-U ABAP
SAP Fiori apps
REST, API, OData
SAP C4C
SAP FSM
SAP Ariba
SAP Concur
Integration Suite
FI, CO, FICA, DM, EAM, C4C
Azure, AWS

Benefits

Competitive pay
Medical/dental/vision and other benefits

Position Summary

Implement and support the SAP ecosystem at Summit Utilities with a primary focus on SAP IS-U
Bring experience across SAP S/4HANA, SAP BTP, and cloud-based SAP products
Provide technical leadership, integration of third-party solutions, and migration of newly acquired acquisitions into the Summit ERP environment

Knowledge, Skills, Abilities

Deep understanding of Meter to Cash lifecycle, business and technical master data, customer interaction, billing, meter reading, disconnections/reconnections, and bill print processes
Proven experience designing and implementing best practice SAP IS-U solutions
Strong experience with REST/API/OData services
Familiarity with integrated SAP platforms: SAP C4C, FSM, Ariba, Concur, Integration Suite
Strong communication and interpersonal skills to partner across IT and business stakeholders
Presentation, facilitation, and conflict resolution abilities
Ability to manage multiple priorities in a fast-paced environment
Analytical mindset and strong problem-solving abilities

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1mo ago

Data Engineer - Enterprise Data Engineering & Analytics

MD Anderson Houston, TX 📍 Texas Remote

Houston, TX

1mo ago Closed

$107k - $160k/yr Full time Amazon Emr Analytics AWS

This position is no longer accepting applications (closed Sep 5, 2026).

Job Description

Context: UT MD Anderson Cancer Center is hiring a Data Engineer to support Enterprise Data Engineering & Analytics (EDEA) within Customer Support, working under the Context Engine Framework.

Responsibilities

Participate in end-to-end solution delivery that increases information capabilities and realizes data value across the institution
Support data ingestion, ingress, egress, curation, pipeline development, data transformation, and data modeling within the Context Engine Framework
Integrate data governance processes covering data provenance, security, data quality, and ontology throughout the data lifecycle
Enable analytics operations and support enterprise data visualization and insight generation
Contribute to the team support model for analytics security, change control, application database maintenance, and customer queue monitoring
Participate in scrum ceremonies and sprint activities supporting product owners and solution delivery initiatives
Support work intake activities and EDEA requests aligned to organizational strategy and framework standards
Handle routine reporting requests and support analytics consumers across the institution
Troubleshoot incidents, break fixes, and production issues while coordinating with system technical support teams
Respond to customer requests with clear procedures, expectations, delivery timelines, and status updates
Participate in after-hours application support and downtime procedures
Support issue resolution efforts to ensure service continuity for analytic solutions
Adhere to IS division standard operating procedures and institutional policies related to data governance and Context Engine standards
Prepare documentation for enhancements, implementations, and new technologies
Follow documented change control processes and participate in change control audits when needed
Perform quality control testing and review peer solutions for technical accuracy and quality
Support analytics system updates and new release activities for assigned modules
Support regulatory compliance, quality standards, best practices, and stakeholder collaboration efforts
Train data scientists, data analysts, end users, and data consumers on data pipelining and data preparation techniques
Assist in establishing training plans and curricula for systems in the Context Engine Tools suite
Develop training materials in partnership with the training team and system experts
Provide institutional, departmental, and one-on-one training on EDEA deliverables
Support liaison relationships with customers and OneIS to deliver effective technical solutions and service
Perform other duties as assigned

Requirements

Required: Bachelor’s Degree
Required: 2 years clinical, relevant healthcare information technology, or relevant business experience
Preferred: Master’s Degree in Business Analytics, Computer Science, Information Technology, Data Science, or related
Required/Education substitution: With preferred degree, no experience required; may substitute required education with years of related experience on a one-to-one basis
Preferred: End-to-end solution delivery including build-out of data sources of the EMR system
Preferred: Experience communicating and problem solving with doctors, managers, and/or leaders
Preferred: Experience building reports in EMR
Preferred Certifications: Caboodle, Clarity, Ambulatory, Cadence, Cogito, Inpatient
Required: EPIC certification and must obtain at least one Epic Data Model certification (Clinical, Access, or Revenue) issued by Epic within 180 Days

Technologies

Context Engine Framework
Context Engine Tools suite
EMR
Epic
OneIS
Caboodle
Clarity
Ambulatory
Cadence
Cogito
Inpatient

Benefits

Employer-paid medical coverage starting day one for employees working 30+ hours/week; optional group dental, vision, life, AD&D, and disability insurance
PTO and Extended Illness Bank accruals, plus paid holidays, wellness, childcare, and other leave options
Tuition Assistance Program after six months of service; access to wellness, fitness, and employee resource groups
Defined-benefit pension through the Teachers Retirement System, voluntary retirement plans, and employer-paid life and reduced salary protection programs
This position may be responsible for maintaining the security and integrity of critical infrastructure and may require routine reviews and screening

Work Location

Remote 100% within Texas
Work Location: Remote (within Texas only)

Pay / Employment Details

Minimum: $106,500
Midpoint: $133,000
Maximum: $159,500 (per year)
Employment Status: Full-Time
Employee Status: Regular
Work Week: Days
FLSA: Exempt and not eligible for overtime pay
Fund Type: Hard
Pivotal Position: Yes
Referral Bonus Available?: Yes
Relocation Assistance Available?: Yes
#LI-Remote

Why UT MD Anderson

Contribute directly to advancing data-driven healthcare, analytics innovation, and enterprise-wide decision-making
Work with modern data platforms, collaborate with multidisciplinary teams, and support impactful institutional initiatives
Grow technical and leadership capabilities while benefiting from a flexible remote work environment within Texas