Remote (US)

Remote Developer Jobs (US)

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All (605) 🌍 Worldwide (206) 🇺🇸 US (375) 📍 Location-specific (24)

Today

Sr. Engineer - Platform Data Engineer

CrowdStrike Sunnyvale, CA 🇺🇸 Remote

Sunnyvale, CA

Today

$164k - $295k/yr Full time Cloud Data Platform Data Engineer Data Engineering

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Job Description

Build and run the data platform that powers CrowdStrike’s analytics ecosystem. As a Sr. Platform Data Engineer in Sunnyvale, CA (remote), you’ll architect, deploy, and operate core data infrastructure and platform services with a focus on reliability, scalability, and performance. This role sits at the intersection of infrastructure and data engineering, where your work helps ensure platform excellence end to end.

What you’ll get at CrowdStrike

Market leader in compensation and equity awards
Comprehensive physical and mental wellness programs
Competitive vacation and holidays to support rest and recharge
Paid parental and adoption leaves
Professional development opportunities for all employees, regardless of level or role
Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections
Vibrant office culture with world class amenities
Great Place to Work Certified™ across the globe

Responsibilities

Deploy, configure, and administer core platform tooling including Apache Airflow and Superset in production environments
Manage infrastructure-as-code (IaC) for data platform components using Terraform
Build and maintain CI/CD pipelines for platform services and data workflow deployments
Implement and enforce platform security, access controls, and compliance standards
Develop and maintain data models using dbt and catalog assets within OpenMetadata
Write efficient Python code for platform automation and data processing
Mentor junior engineers and provide technical leadership

Requirements

Must be eligible for CJIS clearance (requires U.S. citizenship or Green Card/permanent resident status)
Bachelor’s degree in Computer Science or related field
8+ years of combined infrastructure and data engineering experience
Advanced Python programming (5+ years)
Expert knowledge of Apache Airflow deployment and administration
Strong experience deploying and managing Apache Superset or similar BI platforms
Cloud platform expertise across AWS, GCP, Azure, or OCI including IAM, networking, and managed services
Infrastructure-as-Code proficiency
Container orchestration experience with Kubernetes and/or Docker in production
Knowledge and experience with dbt and OpenMetadata
SQL and data modeling expertise
Experience with data security and compliance requirements
Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency, and drive business outcomes

Bonus points

Master’s degree in a relevant field
Experience with cybersecurity data
Contributions to open-source projects
Knowledge of machine learning pipelines

Salary: USD 164,000 - 295,000 per year. This is a Sr. Platform Data Engineer role supporting CrowdStrike’s core data infrastructure and platform services.

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1d ago

Full Stack Software Engineer, Support Operations

Clickhouse United States 🇺🇸 Remote

United States

1d ago

$154k - $215k/yr Full time Backend Developer Marketing API Integrations

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Job Description

Build full-stack systems that improve how ClickHouse customers get help, from routing and automation to AI-assisted experiences and production observability.

Responsibilities

Design and develop the systems that connect ClickHouse customers with the teams that support them.
Create intelligent routing and decision systems that choose where work goes and who handles it using many signals at once.
Ensure routing and decision systems adapt as the business scales.
Develop AI-powered customer experiences that understand needs, recommend next steps, and know when to hand off to a human.
Build internal platforms and tooling for Support, RevOps, and GTM teams to help them work faster and more accurately, with production-quality standards.
Implement integrations and data flow across Salesforce, live chat, incident management, Slack, GitHub, and more to keep workflows and data moving cleanly between systems.
Create automation and observability systems to remove repetitive work, highlight what is breaking, and improve confidence in what teams are running.
Partner with core Engineering to ship to production and take ownership of delivered work, including code review, testing, monitoring, and continuous improvement.

Requirements

3–5 years building and shipping full-stack software in production.
Experience with tools such as TypeScript/JavaScript, Node.js, and React (or comparable technologies).
Hands-on experience with APIs, webhooks, and integrations between distributed systems.
Experience close to support workflows, including work as a support or technical support engineer, or building tools or integrations for support, CS, or RevOps teams.
Comfort with Git and safe, version-controlled deployment workflows.
Ability to translate operational needs into solutions that non-engineers can follow.
Self-driven, end-to-end ownership mindset in a remote, globally distributed team.
Day-to-day comfort using AI tools while building, with clarity on where to trust AI outputs.

Technologies

TypeScript
JavaScript
Node.js
React
APIs
Webhooks
Git
Salesforce
Slack
GitHub

Benefits

Employer contributions towards healthcare.
Stock options for every new team member.
Flexible time off in the US; generous entitlement in other countries.
USD $500 home office setup for remote employees.
Opportunities to connect with colleagues at company-wide offsites.

Bonus Points

Experience building LLM-powered features in production (routing, retrieval, evaluation, or observability).
Salesforce platform experience (Apex, LWC, Flows, custom objects) or relevant certifications, or strong appetite to get up to speed quickly.
Support and incident tooling experience: Pylon, incident.io, PagerDuty, Zendesk, Slack APIs, GitHub APIs.
Experience with ClickHouse or other analytical databases.
Experience in an early-stage or greenfield environment, or embedded in a support, RevOps, or business-systems function.

Perks

Flexible work environment: ClickHouse is globally distributed and remote-friendly, operating in over 25 countries.
Healthcare employer contributions.
Equity via stock options for new hires.
Flexible time off in the US and generous entitlement internationally.
USD $500 home office setup for remote employees.
Global gatherings with opportunities to attend company-wide offsites.

Culture

As part of a rapidly scaling startup, you will help shape culture.

Location: United States (remote)

Compensation: USD 154,000 - 215,000 per year

Experience level: 3+ years

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1d ago

Future Software Engineer

ImageTrend Eagan, MN 🇺🇸 Remote

Eagan, MN

1d ago

$70k - $160k/yr Full time Ai Assisted Development APIs Artificial Intelligence

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Job Description

ImageTrend is building a continuing talent pipeline for experienced Software Engineers as its Software Engineering team plans for sustained growth. This role supports ongoing product development, with engineering practices that emphasize validation, verification, and production readiness while using AI-enabled tools.

This position is based in Eagan, MN and can be performed 100% virtually anywhere in the US, in line with ImageTrend’s remote work policy.

What you’ll do

Use AI-enabled development tools together with strong engineering practices to build production-ready software, partnering with Product, UX, and engineering peers to deliver scalable solutions with appropriate validation and verification.
Apply engineering expertise to challenge and refine solutions, combining research, engineering judgment, and AI-assisted development to meet technical requirements and business goals.
Collaborate across the software development lifecycle with Product, Engineering, Quality, UX, and other cross-functional partners.
Apply software engineering principles covering architecture, coding standards, automated testing, security, performance, reliability, scalability, and maintainability.
Critically evaluate AI-generated and human-authored code using engineering judgment, code review, automated testing, and other verification methods to identify risks and ensure requirements and standards are met.
Use modern development practices and technologies, including source control, automated testing, CI/CD, cloud platforms, and production monitoring and troubleshooting.
Evaluate emerging technologies, tools, frameworks, and engineering approaches that can improve product capabilities, engineering efficiency, developer productivity, and customer experiences.
Troubleshoot complex technical and production issues, improving application performance, scalability, reliability, and overall quality.
Contribute to technical documentation, knowledge sharing, and engineering standards across teams.
Depending on experience and level, contribute to solution design, technical direction, mentoring, architectural decisions, and complex cross-team initiatives.
Travel to orientation, industry or company events, or other onsite meetings as required.
Perform additional duties or tasks as assigned.

Requirements

Bachelor’s degree in Computer Science, Software Engineering, Information Technology, a related technical field, or an equivalent combination of education and relevant experience.
Demonstrated software engineering experience building solutions, including practical experience using AI coding assistants such as GitHub Copilot or equivalent development tools, preferably within a SaaS or technology organization. Experience in public safety, healthcare, or GovTech is considered a plus.
Working proficiency with C#/.NET, SQL/SQL Server, TypeScript, React or Angular, Python, or comparable modern languages, frameworks, and technologies (depth varies by role level).
Demonstrated ability to use AI effectively across coding, testing, debugging, documentation, and software design, while validating AI-assisted outputs using human judgment.
Ability to critically evaluate AI-generated code and understand common limitations of generative AI, including incorrect assumptions, fabricated or nonexistent APIs, insecure implementations, and insufficient domain context.
Ability to structure engineering work so AI-assisted and AI-generated outputs can be independently verified against defined requirements and standards for security, performance, scalability, reliability, and quality.
Experience with APIs, automated testing, source control, CI/CD, cloud platforms, and production troubleshooting.
Understanding of software architecture and application design principles, including security, performance, scalability, reliability, testing, and maintainability.
Strong problem-solving, time management, attention to detail, communication, and technical aptitude.
Ability to analyze complex technical challenges and develop practical, scalable solutions.
Ability to collaborate effectively with both technical and non-technical partners.
Demonstrated continuous improvement and growth mindset, with the ability to learn and apply emerging technologies while balancing innovation with sound engineering judgment.
Ability to maintain discretion when handling proprietary and confidential information.
Strong work ethic, integrity, honesty, collaboration, and team orientation.
Ability to travel as required, up to 10%.

Technologies

GitHub Copilot
C#, .NET
SQL, SQL Server
TypeScript
React
Angular
Python
APIs
CI/CD
Cloud platforms
Source control

Compensation and eligibility

Annual base salary range: $70,000 - $160,000 USD for this full-time role.
Compensation includes bonus plus benefits, perks, and community gains.
E-Verify participation to validate employee Form I-9 documentation.

Remote work policy and application deadline

100% virtual role anywhere in the US while following the Remote Work Policy.
Deadline to apply is at least 3 days after the posting date listed.

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2d ago

Snowflake Senior Data Engineer

HCL AMERICA INC. United States

United States

2d ago

$61k - $99k/yr Full time Senior Cloud Data Engineering Cloud Data Warehouse

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Job Description

Join HCL AMERICA INC. in the United States (onsite) and work on practical, business-facing data solutions. This role supports reliable data pipelines and applications using Snowflake, SQL, and Python, with a focus on performance, accuracy, and maintainable code. Salary range: USD 61,000 - 99,000 per year.

What you’ll do

Design and develop Snowflake data models and pipelines aligned with business requirements
Write complex SQL queries to support data extraction, transformation, and loading (ETL) processes
Build and maintain Python scripts to automate workflows and handle data processing tasks
Collaborate with the team to ensure smooth integration of developed solutions into existing systems
Troubleshoot and debug code to maintain system performance and data accuracy
Stay current with industry best practices and trends across Snowflake, SQL, and Python

Skills and experience needed

Proficiency in the Snowflake data warehousing platform
Strong SQL skills for data extraction and manipulation
Experience with Python for scripts and automation
Understanding of data modeling concepts and ETL processes
Ability to work in a fast-paced environment while managing multiple priorities
Good problem-solving and analytical skills
Strong communication and interpersonal skills to collaborate with team members and stakeholders

Tools you’ll work with

You’ll use Snowflake, SQL, and Python, along with MS SQL and ETL workflows.

Certification preference

SnowPro Core Certification in Snowflake is preferred, but not mandatory.

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2d ago

EC/TCTO Developer

Cherokee Federal United States 🇺🇸 Remote

United States

2d ago

$95k - $105k/yr Full time Engineering Engineering Change Management Engineering Change Requests

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Job Description

Cherokee Federal is seeking an EC/TCTO Developer to support the U.S. Coast Guard C5ISC. In this remote role based in the United States, you will help manage engineering change (EC) and Time Compliance Technical Order (TCTO) implementation and documentation workflows, coordinating with teams across engineering and logistics to keep technical records organized and current.

Responsibilities

Follow Coast Guard Surface Forces Logistics Center (SFLC) EC/TCTO procedures and provisioning processes to produce required documentation for recommended changes as directed by the COR.
Use the Coast Guard Standard Workstation III or a contractor computer to receive, process, and track field-generated Engineering Change Requests/Proposals (ECRs) and CG-22 entries via the SFLC shard hard drives or its web-based successor as directed by the COR.
Create and maintain project case files for ECRs, CG-22s, ECs, and the resulting TCTOs as directed by the COR.
Prepare ECs/TCTOs and related documentation for review and comment as directed by the COR.
Support EC/TCTO Development Team (ECDT) activities by assisting with planning, attending, and actively participating in meetings assigned by the COR.
Create provisioning case files and their web-based successor for new supply items that support EC activity, as directed by the COR.
Assist with development and management of Plan of Action and Milestones (POAM) as directed by the COR.
Coordinate development team and other technical or logistics meetings needed for normal EC/TCTO and logistics support development as directed by the COR.
Gather requirements data from Cutters, other Product Branches, SFLC Engineering Services Division, and other Coast Guard units as directed by the COR to support EC requirements for various platforms.
Collect provisioning and other technical data for assigned equipment from vendors as directed by the COR.
Assist with organizing and attending platform team meetings as directed by the COR.
Perform administrative support tasks related to EC/TCTO development as assigned by the COR.
Complete other job-related duties as assigned.

Requirements

Minimum two-year experience providing U.S. Coast Guard (USCG) entities with ELEX EC/TCTO Development for Coast Guard (CG) Assets.
Experience with Field Changes, Engineering Changes, and TCTOs.
Ability to obtain a Common Access Card (CAC).
Proficiency using Naval Electronic Supply Support System (NESSS), Fleet Logistic System (FLS), and CGMS as applicable to TCTOs/ECs.
Strong writing skills using applicable documentation resources.
Knowledge of Microsoft Power Point, Word, and Excel.
Ability to pass a federal background check and drug screen.
Must have a valid Secret clearance.
Must pass pre-employment qualifications of Cherokee Federal.
Must be a U.S. Citizen.
This position requires an active Secret clearance.
Due to a government contract, this role is restricted to U.S. citizens or legal permanent residents; documentation is required to qualify.
Prolonged desk sitting and computer work; occasional standing or moving about the office for extended periods may be required.

Technologies

Coast Guard Standard Workstation III
Naval Electronic Supply Support System (NESSS)
Fleet Logistic System (FLS)
CGMS
Microsoft Power Point, Microsoft Word, Microsoft Excel
Plan of Action and Milestones (POAM)

Benefits

Up to a 6% 401(k) company match
Paid time off
Medical, dental, and vision insurance, plus prescription drug coverage
Basic life and AD&D insurance, with supplemental life options
Short-term and long-term disability coverage
Paid holidays
Employee Assistance Program (EAP)
Flexible Spending Account (FSA) and Health Savings Account (HSA) options
Professional development, training, and certification support
Voluntary benefits including accident, critical illness, and identity theft protection

Location: United States (remote). Compensation: USD 95,000 - 105,000 per year. Experience: minimum 2 years. Supervisory responsibilities: none. Work environment: primarily climate-controlled.

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4d ago

Data Engineer II

Essentia Health Duluth, MN 🇺🇸 Remote

Duluth, MN

4d ago

$90k - $134k/yr Full time Artificial Intelligence Big Data Data

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Job Description

Essentia Health is hiring a Data Engineer II to build and optimize scalable data pipelines for large datasets, supporting batch and near real-time analytics.

Responsibilities

Design and optimize scalable, resilient data pipelines and workflows to support large datasets and meet functional and non-functional business requirements
Implement advanced data processing and scheduling using frameworks such as Apache Spark, ADF, and Airflow
Write and optimize advanced SQL queries for reporting and application use
Ensure data quality, governance, and security via automated testing and monitoring
Collaborate with data scientists, analysts, and other stakeholders to understand data requirements
Provide technical guidance and mentorship to junior data engineers
Develop infrastructure for both real-time and batch processing workflows
Deliver actionable data products and insights for business-critical tools

Requirements

Bachelor’s degree in computer science, data analytics, statistics, or related field
2-5 years of experience in data engineering or a related role
Proficiency in SQL and experience with database management systems
Strong programming skills in Python, Java, or Scala
Experience building pipelines with orchestration tools such as Apache Airflow or AWS Glue for ingestion and delivery
Experience with modern data management technologies such as data lake, lakehouse, and data catalogs
Experience supporting batch and streaming data to enable near real-time analytics and reporting

Technologies

Apache Spark, Airflow, ADF
SQL
Python, Java, Scala
AWS Glue
Data lake, lakehouse, data catalogs
dbt
Microsoft Fabric
AI and machine learning

Preferred Qualifications

Familiarity with applying AI and machine learning techniques to data use cases
Experience creating robust data transformation workflows, including metadata management, dependency tracking, and workload orchestration
Experience with dbt
Experience with Microsoft Fabric
Excellent problem-solving skills and attention to detail
Strong communication and collaboration skills

Compensation and Schedule

Location: Duluth, MN (Remote)
FTE: 1
Compensation range: $89,523.20 - $134,284.80 per year
Shift: Day Rotation (United States of America)
Shift start: 8:00 AM
Shift end: 4:30 PM
Holidays: No
Call obligation: No
Possible remote option: Remote

Location Details

Building location: Peerless Building
Department: 1007670 ANALYTICS AND ARCHITECTURE - EH SS

Benefits

Medical, dental, vision, life, and disability insurance
401(k) plan with employer contributions
Training, tuition reimbursement, and educational programs
Flexible scheduling
Generous time off
Wellness resources focused on your physical, mental, and emotional health

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4d ago

Lead Software Engineer - Technical Track

UL Research Institutes Washington, DC 🇺🇸 Remote

Washington, DC

4d ago

$131k - $180k/yr Full time Data Platform Engineering Frontend

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Job Description

Remote Lead Software Engineer role at UL Research Institutes (Digital Safety Research Institute), focused on technical leadership and full-stack systems for digital safety research.

Responsibilities

Lead, define, and build full-stack software systems and platforms that support large-scale research, evaluation, and dissemination of safety insights
Design and implement service boundaries, evolve data models, and define integration patterns across platforms
Develop the pipelines and evaluation frameworks that feed into research workflows
Set technical direction across projects by aligning architecture and data frameworks with DSRI research priorities and the broader AI evaluation ecosystem
Iterate on complex, ambiguous, cross-cutting systems where requirements may not be fully understood
Maintain consistent engineering practices and establish standards for AI-assisted engineering, including use of Claude Code for large refactors and greenfield work, plus adopting and adapting code from external organizations
Create patterns and documentation to accelerate software engineering efforts
Review and provide feedback when AI coding tools are used in dangerous, inappropriate, or inefficient ways
Provide informal mentorship and feedback to junior engineers to support skill development and knowledge sharing
Promote a collaborative, positive engineering environment, encouraging knowledge sharing and professional growth
Support hiring, onboarding, and training for new software engineers to ensure smooth team integration
Represent technical work within the organization and in selected external settings
Contribute to and/or lead department-specific and cross-functional initiatives

Requirements

Deep software engineering expertise across systems that support research and data-driven analysis, including at meaningful scale: React (production), Python services, async patterns, careful data handling, sensible API design, and PostgreSQL
Experience designing and implementing complex data structures
Working knowledge of the systems layer, including containers, deployment, and observability
Architectural judgment from real experience, including the ability to explain trade-offs and recognize when not to introduce new services, abstractions, or dependencies
Advanced use of AI coding tools, including integrating Claude Code (or similar) into substantial, non-trivial work: structuring context, decomposing problems, reviewing generated code, and recovering when tools fail
Demonstrated technical leadership without formal authority, raising team quality through the work you deliver and how you work
Clear, direct written communication and the ability to translate complex technical work for varied audiences (design documents, RFCs, post-mortems, asynchronous code reviews, and internal/external presentations)
Genuine interest in AI safety, test and evaluation, or specific harm domains (including synthetic media and chatbot safety)
Bachelor’s degree in computer science, or equivalent education and experience; Master’s preferred
Minimum 8 years of software development experience, with a focus on platform security, and proficiency across multiple programming languages and frameworks
Experience deploying multiple complex software products and understanding nuances of the software development life cycle