Remote

Worldwide Remote Engineer Jobs

13 jobs found

Include remote jobs

All (58) 🌍 Worldwide (13) 🇺🇸 US (43) 📍 Location-specific (2)

2d ago

Mid-Level Software Engineer

Adeptus Solutions, Inc. Remote 🌍 Remote

Remote

2d ago

$98k - $129k/yr Full time Backend Developer .NET Azure

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Job Description

Adeptus Solutions, Inc. is seeking a Mid-Level Software Engineer to design, develop, and maintain software solutions within a remote team. The role involves collaborating with product managers, designers, and developers, mentoring junior engineers, and contributing to architectural discussions. This position offers a salary range of USD 98,000 - 129,329 per year.

Responsibilities

Develop, test, and maintain software applications according to specifications.
Collaborate with product managers, designers, and other developers to deliver features on time.
Troubleshoot, debug, and optimize existing code to improve performance and maintainability.
Write clean, efficient, and well-documented code.
Participate in code reviews and contribute to team knowledge sharing.
Assist in the design and implementation of software architecture.
Stay up-to-date with emerging technologies and recommend their adoption when appropriate.

Requirements

Minimum of 9 years of professional software development experience.
Proficiency in [Insert relevant languages, e.g., JavaScript, Python, Java, C#].
Experience with front-end frameworks (React, Angular, Vue) and/or back-end frameworks (Node.js, Django, Spring).
Solid understanding of databases (SQL and/or NoSQL).
Familiarity with version control systems, preferably Git.
Strong problem-solving and debugging skills.
Ability to work both independently and collaboratively in a team environment.

Technologies

JavaScript
Python
Java
C#
React
Angular
Vue
Node.js
Django
Spring
SQL
NoSQL
Git
AWS
Azure
GCP
SQL Server Management Studio
.NET
Security+

Benefits

AD&D insurance
Dental insurance
Health insurance
Vision insurance

Preferred Qualifications

Experience with cloud platforms (AWS, Azure, GCP).
Knowledge of CI/CD pipelines and DevOps practices.
Familiarity with automated testing frameworks and practices.
Exposure to Agile/Scrum methodologies.
Prior experience mentoring junior developers.

Education

Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent practical experience).

Experience

Angular: 4 years (Required)
Django: 4 years (Required)
Java: 4 years (Required)
Vue: 4 years (Required)
React: 4 years (Required)
AWS: 4 years (Required)
Python: 4 years (Required)
C#: 4 years (Required)
Spring Framework: 4 years (Required)
Node.js: 4 years (Required)
Security+: 4 years (Required)
SQL Server Management Studio: 4 years (Required)
.NET: 4 years (Required)

Security Clearance

Confidential (Required)

Work Location

Remote

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5d ago

Lead Analytics Engineer - Data Modeling & Quality

Arcadia.io Remote 🌍 Remote

Remote

5d ago

$160k - $185k/yr Full time Analytics Data Lead

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Job Description

Lead Analytics Engineer focusing on data modeling and data quality, owning the DBT/SQL layer to transform clinical and claims data into trusted datasets with strong data quality ownership and cross-functional collaboration within Arcadia's healthcare analytics platform.

Responsibilities

Author, review, and maintain DBT models built on Spark/Hudi, spanning ingest through bronze and silver layers.
Clarify data model concepts for clients by communicating assumptions and limitations via deliberate validation.
Troubleshoot issues, implement fixes, and create DBT tests to proactively prevent problems.
Optimize SQL performance for slow-running pipelines and queries.
Collaborate with Data Engineering on Hudi table design, partition strategies, and incremental processing patterns.
Triage data quality alerts, distinguishing source-level problems from transform-layer failures.
Design and maintain volume monitors and data quality monitors (null rates, distribution checks, future-date validations).
Author and enforce clinical DQ rules (entity volume, field coverage, LOINC coverage, referential integrity) and claims validation rules across silver and gold layers.
Lead quality reviews for connector promotions, evaluating silver entity coverage, validation pass rates, and bronze-to-silver transformation correctness.
Own the ticket queue for data quality, attribution, hierarchy, and customer-specific data quality issues, delivering clear, customer-facing findings.
Guide data quality reviews during connector installation and promotion (UAT/PRD), including claims validation playbooks and null analyses.
Partner with Data Engineering on root-cause analysis for errors, ingestion anomalies, and silver table issues surfaced by monitoring.
Coordinate with the Measure Implementation Team when data quality affects quality measure scores.
Contribute to and enforce data modeling standards across teams.
Data modeling stack encompasses DBT-Spark, SQL, Claude; warehousing with Redshift, Hudi, and AWS Athena; orchestration via Argo Workflows and Airflow; observability with Grafana and Loki; issue tracking in Jira.
Maintain robust source control through Git and GitHub with PR-based workflows.
Work with healthcare data domains including claims (plan, professional, pharmacy), EHR clinical entities, and MPI.

Requirements

Bachelor's or Master's degree in Computer Science, Statistics, Business, Economics, or a related field.
Advanced SQL skills with window functions, complex CTEs, multi-step aggregations, and performance tuning on columnar databases.
Hands-on DBT experience: authoring models, tests, macros, and YAML documentation; familiarity with incremental strategies.
Healthcare data literacy covering claims data (professional, institutional, pharmacy), clinical data (EHR entities), and quality dimensions (member months, coverage rates, null patterns).
Data quality mindset with the ability to separate source data issues from transform problems, design systematic validation checks, and communicate findings clearly.
Clear communicator capable of translating technical insights for clients and non-technical stakeholders.
Strong analytical judgment and the ability to identify anomalies in data distributions.
Ability to manage multiple projects concurrently, leveraging AI tooling for organization and efficiency.
Genuine interest in learning and applying AI tools to improve operations and processes.

Preferred qualifications

Experience with Spark SQL and the Hudi table format.
Familiarity with data quality monitoring tools.
Comfort working in an AI-first environment using Claude to build and verify workflows.
Exposure to population health analytics concepts such as HEDIS measures, risk adjustment, and value-based care metrics.
Python scripting for data investigation and automation.
Experience with Argo Workflows or similar orchestration platforms.
Healthcare data standards familiarity: ICD-10, CPT, NDC, LOINC, NPI.

Technologies

DBT-Spark
SQL
Claude
Amazon Redshift
Apache Hudi
AWS Athena
Argo Workflows
Airflow
Git
GitHub
Grafana
Loki
Jira

Benefits

Collaborate with a talented team tackling complex healthcare data challenges.
Flexible, fully remote work environment with strong support resources.
Exposure to senior leadership and strategic initiatives.
Be at the forefront of AI adoption, leveraging cutting-edge tools to accelerate work and shape team processes.
Help improve data quality and reliability that inform patient care decisions.
Join a mission-driven organization transforming the healthcare industry.
Become part of a diverse, energized Arcadian community aligned with purpose.

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5d ago

Naval Marine Engineer

CACI Remote 🌍 Remote

Remote

5d ago

$75k - $158k/yr Full time AutoCAD Design Engineering

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Job Description

The Naval Marine Engineer role at CACI is remote-based and centers on design support, development, and analysis of ship propulsion and core systems for MSC and Navy programs, with up to 10% travel within the Continental US.

Responsibilities

Develop marine auxiliary and piping systems, review preliminary and functional design documentation, and craft ship system specifications.
Provide technical support on engineering projects both independently and within a team, primarily for NAVSEA and the Military Sealift Command.
Foster an environment of integrity and trust that values character and innovation.
Conduct a supportability study to assess current and future support levels of equipment, addressing maintenance, TRANSALTs, reliability, and obsolescence issues.
Perform analyses and inspections to identify essential modernization, upgrades, and lifecycle maintenance actions to extend the ships' service life.

Requirements

Experience with ship auxiliary systems, including operation, maintenance, and design work for machinery upgrades and/or analyses on commercial, MSC, and Navy vessels.
Strong ability to read, interpret, and develop mechanical and electrical drawings and technical manuals.
Detailed knowledge of U.S. regulatory standards and ability to prepare ship documents for ABS Rules, Navy Standards, and other applicable engineering standards.
Experience with Military Sealift Command marine engineering and/or Navy design practices.
Minimum of 10 years of relevant experience.
Solid understanding of naval engineering disciplines and project management principles.
Bachelor’s Degree in Mechanical Engineering, Marine Engineering, or equivalent professional experience.

Technologies

AutoCAD 2D
AutoCAD 3D

Benefits

Healthcare
Wellness
Financial
Retirement
Family support
Continuing education
Time off benefits
Flexible time off

The Opportunity

Support design efforts for TRANSALTs, OERA, machinery selection, and auxiliary systems design and analysis.
Task management and interface with Government POC; provide direct support to Navy Ship Design Managers (SDMs).
Support the design, development, and construction of main machinery, ship systems, DPS, propulsion, and other machinery systems, and mission systems interfaces for MSC and US Navy ship acquisition programs.
Develop preliminary system designs including schematics and Ship Specification to ensure design elements meet Capability Development Document (CDD) and all regulatory body requirements.
Travel to perform ship checks based on ship availability or 3D model review to investigate system/equipment to incorporate into each work package.

What You Can Expect

A culture of integrity.
An environment of trust.
A focus on continuous growth.

Pay Range

Salary range: USD 75,200 - 158,100 per year. Final compensation depends on location, experience, skills, certifications, and other factors. Because the role may be performed from multiple locations, the range shown reflects national averages. CACI offers comprehensive benefits, including healthcare, wellness, retirement, family support, continuing education, and time off benefits. CACI is an Equal Opportunity Employer.

Job ID

326685

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7d ago

Senior/Lead - Backend Engineer/Data Engineer - AI Engineering

FICO Remote 🌍 Remote

Remote

7d ago

$140k - $220k/yr Full time Backend Developer Senior Analytics

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Job Description

Senior/Lead Backend Engineer and Data Engineer on FICO's Applied AI team, responsible for building scalable backend systems and data pipelines that power AI-driven analytics, decisioning, and automation.

Responsibilities

Architect and deploy scalable backend services and data pipelines that integrate applied AI into FICO’s analytics and decisioning platform.
Deliver robust data ingestion, transformation, and storage solutions to support reliable, high-throughput real-time analytics.
Craft LLM-based solutions for decision automation, fraud investigation, and process automation within the platform.
Develop advanced prompting strategies and Retrieval-Augmented Generation (RAG) architectures for high-stakes applications.
Collaborate with data scientists, ML engineers, and product teams to build microservices and APIs that enable intelligent, data-driven decisions.
Optimize distributed architectures and implement real-time processing frameworks to handle large volumes with low latency.
Implement comprehensive monitoring, testing, and performance optimization to ensure security, reliability, and scalability.
Define and evolve architectural patterns that scale FICO’s analytics and decisioning solutions.
Lead and mentor engineers, promoting best practices across software development, data engineering, AI integration, and systems design.

Requirements

7+ years of backend or data engineering experience delivering complex, large-scale production systems.
Proficiency in Python, Go, Java, or equivalent languages with a focus on clean, maintainable, well-tested code.
Hands-on experience with big data frameworks (Apache Spark, Kafka, Hadoop) and solid knowledge of relational and NoSQL databases.
Experience with cloud platforms (AWS, GCP, or Azure) and container orchestration tools (Docker, Kubernetes).
Proven ability to design, build, and operate scalable production-grade backend systems emphasizing reliability and performance.
Strong background in testing frameworks (including A/B testing), performance optimization, and production observability.
Demonstrated track record of integrating AI/ML solutions into production systems, including work with Large Language Models (LLMs).
Experience with Retrieval-Augmented Generation (RAG) architectures and familiarity with vector databases (Pinecone, Weaviate, pgvector) is highly preferred.
Excellent problem-solving and communication skills, with ability to mentor engineers, influence technical direction, and collaborate across teams.
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field; advanced degree is a plus but not required.

Technologies

Python, Go, Java
Apache Spark, Kafka, Hadoop
AWS, GCP, Azure
Docker, Kubernetes
Large Language Models (LLMs), Retrieval-Augmented Generation (RAG)
Pinecone, Weaviate, pgvector

Benefits

Inclusive culture aligned with core values: Act Like an Owner, Delight Our Customers, Earn the Respect of Others.
Impactful work with opportunities for professional growth and ongoing learning.
Competitive compensation and rewards programs recognizing performance.
People-first environment with work-life balance, employee resource groups, and social events.
Base salary range is $140,000 to $220,000, reflecting knowledge, skills, and experience.

Why Join FICO

Credit Scoring — FICO scores are used by 90 of the top 100 US lenders.
Fraud Detection and Security — FICO fraud systems protect 4 billion payment cards globally.
Lending — FICO Score underpins approvals for a large share of US mortgages.

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8d ago

Senior Data Analytics Engineer

Core BTS Remote 🌍 Remote

Remote

8d ago

$97k - $130k/yr Full time Senior Analytics Azure Data Factory

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Job Description

Senior Data Analytics Engineer on Core BTS's Data Analytics Data Platform (DADP) team, remotely located with a salary range of USD 97,000 to 130,000 per year, focused on delivering BI solutions and scalable data platforms using the Microsoft Analytics stack.

Responsibilities

Demonstrates passion, excellence, trust, transparency, and client focus.
Builds and maintains databases, data pipelines, and data lakes.
Transforms and models data, develops reporting and analytics, creates dashboards, and leverages analytics tools.
Understands business problems and processes through direct client conversations, sees the big picture, and translates that into concrete solutions.
Collaborates with other DADP team members across all stages of the data analytics lifecycle—from requirements gathering and solution delivery to documenting lessons learned.
Addresses conflicts directly, maintains positive intent, and seeks guidance from leaders when needed.
Adapts positively to change by adopting new practices and processes.
Maintains a positive, professional, and self-confident presence in interactions.
Responds to clients in a timely and professional manner.
Seeks to consistently meet or exceed client expectations and collaborates to address their business needs.
Communicates accurately, concisely, and effectively with stakeholders.
Listens respectfully to others' ideas and concerns with an open mind.
Develops and maintains effective working relationships with colleagues.
Collaborates to solve problems and prioritizes team success.
Meets commitments and delivers work on schedule.
Holds self and others accountable for responsibilities and outcomes.
Acts with ownership, accepting responsibility for decisions and actions.
Works independently or as part of a team of technical professionals.
Balances multiple projects while remaining attentive to end users, clients, and project managers.
Provides top-notch service and recommendations to clients, the project team, and the broader NRI team.

Requirements

3-5 years of work experience in data engineering.
Experience with Azure Data Factory.
Experience with Azure Databricks.
Experience with Azure Synapse.
Experience with Fabric.
Understanding of Agile engineering practices.
Data warehouse and lakehouse methodologies, including medallion architecture.
Data ETL/ELT processes.
Data profiling and anomaly detection.
Data modeling (Dimensional/Kimball).
SQL proficiency.
Strong background in relational database platforms.
DevOps / Continuous Integration and Continuous Delivery.
Growing familiarity and experience with Python.
Excellent analytical and problem-solving skills.
Effective oral and written communication and organizational skills.
Desire for continued education and certification relevant to the position.
Previous consulting experience is preferred but not required.

Technologies

Microsoft Analytics stack
Azure Data Factory
Azure Databricks
Azure Synapse
Fabric
SQL
Python

Benefits

Health, Vision, and Dental Insurance
Life Insurance
Health/Dependent Care Flexible Spending
401(k) Plan
Short-Term and Long-Term Disability Coverage
Generous Vacation and Flex Time Off Programs
Company Paid Holidays
Training and Development Opportunities

Notices

The above description is intended to describe the general nature and level of work performed by individuals assigned to this position. This is not an exhaustive list of all responsibilities, duties, knowledge, skills, or experience required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential duties.
NRI North America is proud to be an Equal Opportunity/Affirmative Action employer.
NRI North America will accept applications on an ongoing basis.
NRI North America will consider qualified candidates with criminal histories in a manner consistent with The Los Angeles Fair Chance Initiative for Hiring Ordinance.
If you require reasonable accommodation in completing an application, interviewing, or otherwise participating in the hiring process, please direct inquiries to [email protected].

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8d ago

Engineering Lead, Inner Developer Loop

Leidos Remote 🌍 Remote

Remote

8d ago

$131k - $237k/yr Full time Manager AI Enablement Automation

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Job Description

Leidos is seeking an Engineering Lead to shape the inner developer loop from remote locations, guiding a team to deliver an enterprise-grade developer experience. This role blends hands-on software development with platform engineering leadership, focused on speeding onboarding and enabling developers to contribute from day one. The position is remote and offers a competitive salary range of USD 131,300 to 237,350 per year.

Responsibilities

Direct a team building the inner dev loop, owning end-to-end experience from initial device provisioning to the first pull request. This includes workstation imaging and configuration, privilege and access workflows, enterprise connectivity, developer tooling, and the AI-powered development environment that unifies everything.
Convert onboarding timelines from weeks to hours by designing scalable systems that let a new developer begin coding within their first hour, at enterprise scale.
Make agentic development tools a core part of the standard environment, integrating AI coding tools into the base setup and teaching teams how to use them effectively through workflows, code reviews, and established practices.
Lead by building: contribute code, review code, and architect solutions alongside your team, earning credibility through shipped deliverables rather than program management alone.
Engage closely with program teams to ensure solutions align with real engineering workflows; maintain connections to 3–5 active programs and translate their constraints back into the development roadmap.
Drive measurable impact through onboarding reductions, higher developer satisfaction, increased AI tool adoption, and more time spent delivering mission software.
Stay ahead of developments in workstation management, development environments, and agentic tooling, adopting only what adds enterprise value.

Requirements

Bachelor’s degree and 12+ years in Computer Science, Software Engineering, or a related technical field (Master’s preferred); additional experience may substitute for the degree.
12+ years of hands-on software engineering, including building or owning developer tooling, platform engineering, or internal developer experience systems.
Experience leading small technical teams as a tech lead or engineering lead with demonstrated outcomes.
Deep expertise in at least one domain such as systems/platform engineering, DevOps, developer tooling, workstation management, or infrastructure, with fluency across multiple domains.
Hands-on experience with enterprise developer environment tooling, including endpoint management (e.g., Jamf, Intune), identity and access management, package management, CI/CD pipelines, and container runtimes.
Proven use of AI coding tools (such as Claude Code, GitHub Copilot, Cursor, Sourcegraph Cody) within real development workflows, not just demos.
Strong software quality practices, including testing strategies, code review, CI/CD, and maintaining quality while moving fast.
Excellent communication skills to collaborate across engineering teams, security, and IT operations, translating between groups as needed.
Familiarity with secure software development practices in regulated or compliance-heavy environments; bonus for experience with FedRAMP, DoD IL4/5, RMF.
U.S. citizenship required and the ability to obtain and maintain a security clearance.

Technologies

Jamf, Intune, CI/CD pipelines, container runtimes, Claude Code, GitHub Copilot, Cursor, Sourcegraph Cody

Benefits

Health and Wellness programs
Income Protection
Paid Leave
Retirement
Competitive compensation

What you'll do

Lead a team building the inner dev loop, owning the end-to-end experience from laptop provisioning to the first pull request, including imaging, access workflows, enterprise connectivity, tooling, and the AI-enabled environment.
Transform onboarding to a one-hour process by designing scalable systems that enable new hires to start coding quickly across the enterprise.
Make agentic development tools a core part of the standard environment and ensure teams know how to use them effectively, establishing productive workflows and practices.
Write code, review it, and architect solutions alongside the team, proving credibility through delivered work.
Engage with 3–5 active programs to align work with real engineering needs and translate lessons back into the build.
Drive measurable impact through faster onboarding, higher developer satisfaction, greater AI tool adoption, and more time delivering mission software.
Continuously evaluate emerging tools and practices in workstation management and agentic development, integrating valuable options into the enterprise standard.

Who you are

A builder first who has shipped production systems and loves writing code, delivering real software quality, and leading teams that do the same.
A platform thinker who treats developer tooling as a product that earns trust from engineers.
T-shaped with deep expertise in at least one core domain and breadth to engage credibly across the stack.
All-in on AI, having integrated agentic development tools into your workflow and helped others do the same.
A multiplier who measures success by team output and improved experiences for engineers, not by individual heroics.
Respected by skeptics, possessing the technical credibility and communication skills to influence diverse stakeholders and engineers alike.

What you'll face

Enterprise environments governed by policy, process, and inertia that must be navigated thoughtfully.
Security and compliance requirements that drive design decisions and execution.
Engineers with established workflows who require evidence before adopting changes.
The challenge of standardizing an environment that fits a wide range of teams and programs.
The need to balance speed with security, quality, and compliance while delivering measurable results.

Your technical impact

Reduce onboarding time from weeks to hours with a repeatable, scalable provisioning system.
Deliver a self-configuring workstation environment with the right tools, access, and enterprise connections out of the box.
Establish agentic development tools as part of the standard developer environment, ready on day one.
Define patterns that help teams use those tools effectively, including workflows, reviews, and quality guardrails.
Improve key metrics such as lead time and developer-reported experience scores in the inner loop.
Build trust that enables accelerated AI-native software development while maintaining security, quality, and compliance.

Preferred qualifications

Proven leadership in enterprise-scale engineering transformation with measurable DORA or SPACE improvements.
Experience embedding within delivery teams as a senior technical change agent, driving sustained workflow transformation.
Hands-on experience operationalizing AI-augmented software development practices at team scale.
Experience delivering mission-critical software in regulated environments with strong security and compliance requirements.
Strong architectural depth in distributed, cloud-native systems and DevSecOps automation at scale.
Experience building or contributing to internal developer platforms, paved roads, or enterprise standards.
Recognized technical credibility through principal/staff-level work, open-source contributions, conference talks, or internal leadership.

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9d ago

GIS Solution Engineer / Developer

Alphident Technologies Inc Remote 🌍 Remote

Remote

9d ago

$40 - $50/hr Contract Backend Developer ArcGIS Enterprise Arcgis Pro

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Job Description

Alphident Technologies is seeking a remote GIS Solution Engineer/Developer to drive the implementation of an enterprise GIS architecture, automate deployment workflows, and build data pipelines and dashboards for healthcare claims analysis. The role centers on leveraging Esri, AWS, and Databricks to transform vast claims data into scalable spatial insights, spanning pre-production to production environments under a contract arrangement.

Responsibilities

Implement the approved enterprise GIS architecture in OIG pre-production and production environments; configure and fine-tune Esri and AWS components.
Develop Infrastructure as Code scripts using Terraform, Python, and PowerShell to automate deployment and ongoing maintenance of GIS environments.
Build and optimize geospatial databases, services, and applications that support healthcare claims analysis.
Create automated geocoding scripts/tools for monthly data ingestion and billions of existing warehouse records using AWS Location Service, Esri tools, or Databricks.
Establish processes to convert tabular business information into spatial data and load it into the Enterprise Geodatabase.
Develop graph data pipelines representing entities (patients, providers, hospitals) and relationships from claims data to enable link analysis.
Embed geocoding and graph conversion steps into ETL pipelines or design standalone post-ingest processes.
Integrate ESRI GeoAnalytics Engine with Databricks for large-scale spatial processing.
Support the development of a GIS dashboard or Web-GIS application with charts, graphs, and maps for spatial claim data representation.
Assist in building a web-based graph data dashboard for link analysis of fraud, abuse, and waste networks.
Troubleshoot client issues related to Esri deployments, system architecture, and data integration.

Requirements

Bachelor’s degree in GIS, Computer Science, Geography, or a related field.
4–6 years of experience with Esri technology, including map creation, spatial analysis, and configuring web applications.
2+ years of experience with cloud platforms (AWS preferred) and Infrastructure as Code practices.
Eligible for and able to maintain a Public Trust background clearance; must qualify for a government-issued ID badge (PIV).
Esri technology experience totaling around 5 years (required).