Hire Hangar logo
Hire Hangar

We connect top talent with vetted employers, competitive pay, and real growth opportunities. Please NOTE: It is crucial that you complete the application form in full. As part of the application process, you will be required to record a video. If your application is successful, you will receive an email confirming next steps—the video is the first step of the interview process. If you do not record a video, we will not be able to consider you for ANY open roles.

Senior Full Stack Engineer – Data Platform

Data EngineerData EngineerContractRemoteSeniorTeam 11-50

Location

Worldwide

Posted

55 days ago

Salary

$2.5K - $4.5K / month

Seniority

Senior

Job Description

Senior Full Stack Engineer – Data Platform

Hire Hangar

Role Description We are building the data backbone for the next generation of AI-powered automation — and we need a Senior Full Stack Engineer who can operate across the full stack: from data ingestion pipelines to the polished frontend dashboards our enterprise customers rely on. This role is ideal for an engineer who thrives where data engineering meets product engineering. You will own the interfaces and services that make complex data meaningful and actionable — and you will work alongside automation engineers to ensure that RPA agents have the structured, reliable data they need to function intelligently. Key Responsibilities - Build and maintain frontend experiences for our data platform, including dashboards, data explorers, and workflow builders - Design and implement RPA agent integrations that interact with structured and unstructured data sources - Develop APIs and services that expose platform data to both internal consumers and customer-facing products - Contribute to the semantic layer that contextualises data for AI agents — including tagging, categorisation, and metadata enrichment - Collaborate with data engineers to ensure frontend and API layers align with underlying data models - Drive performance and scalability improvements across frontend and backend components Qualifications - Senior-level full stack experience with strong frontend depth in React and TypeScript - Experience building data platform or BI-adjacent frontends including dashboards, query interfaces, and real-time data views - Familiarity with RPA tooling and automation workflow design - Understanding of data modelling, ETL patterns, and API-first architecture - Experience with cloud data services such as Snowflake, BigQuery, or Redshift - Strong attention to UX detail and the ability to translate complex data into clear, usable interfaces - Must have prior remote work experience and proven ability to work independently within a distributed team Preferred Qualifications - Experience with semantic metadata layers or data cataloguing tools - Background in enterprise SaaS product development - Knowledge of streaming data technologies such as Kafka or Kinesis - Exposure to dbt, Airflow, or similar data pipeline tooling Tools & Technology - React / TypeScript - Python / Node.js - Cloud data warehouses (Snowflake, BigQuery, or similar) - RPA platforms (UiPath, Power Automate, or similar) - REST and event-driven APIs - Slack, Zoom, Google Workspace Please Note It is crucial that you complete the application form in full. As part of the application process, you will be required to complete a short technical assessment. If your application is successful, you will receive an email confirming next steps. Applications that are not completed in full will not be considered for any open roles. We connect top talent with vetted employers, competitive pay, and real growth opportunities.

Related Categories

Related Job Pages

More Data Engineer Jobs

Jobgether logo

Senior Manager Data Engineering

Jobgether

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Data Engineer55 days ago
Full TimeRemoteH1B No Sponsor

Role Description This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Manager Data Engineering - REMOTE. In this role, you will play a crucial part in shaping our data strategy and ensuring the reliability of our data models and pipelines. Your deep technical expertise combined with strong leadership skills will allow you to mentor teams, implement the latest data technologies, and drive operational excellence. You will be at the forefront of enhancing our data architecture, working closely with various departments to align data practices with business needs. The ideal candidate will not only manage teams but will also engage in hands-on technical work, ensuring the ongoing development of scalable data solutions. - Manage and guide data teams to execute on enterprise data strategy. - Provide technical guidance and mentor team members on data technologies. - Design end-to-end data processing for enterprise data warehousing. - Build scalable data pipelines for data loading. - Automate data operations for efficiency. - Ensure high reliability and performance of data pipelines. - Collaborate with engineering teams to optimize data solutions. Qualifications - BS in Computer Science or equivalent; MS preferred. - 5-10 years of experience in people management, particularly in data and analytics. - Proven experience in redesigning data pipelines and enterprise data models. - Mastery of modern data modeling patterns. - Strong expertise in SQL, Python, and tools like Informatica and DBT. - Experience with Lakehouse/Warehouse technologies. - Commitment to automation and engineering best practices. - Experience leveraging GenAI/LLMs to solve complex problems. Benefits - Competitive compensation. - Flexibility to work from anywhere in the United States. - Paid time off including vacation, sick leave, and holidays. - Incentive bonus programs. - Comprehensive health benefits including medical, dental, and vision. - 401(k) retirement plan with company match. - Opportunities for professional development and education assistance. - Engaging and collaborative work environment. - Recognition programs for employee achievements. - Health and wellbeing resources.

United States
Job Closed
Full TimeRemoteTeam 11-50Since 2024H1B No Sponsor

• Design, build, and maintain scalable batch and streaming data pipelines that support Neuroscale AI's core platform • Build robust ingestion, transformation, enrichment, and indexing workflows across structured, semi-structured, and document-centric data • Develop and operate production-grade data systems using PostgreSQL, OpenSearch/Elasticsearch, AWS, and Python-based tooling • Design efficient data models, schemas, and storage patterns that support analytics, search, application workflows, and AI use cases • Build secure cloud-native data infrastructure using AWS services such as S3, Lambda, Glue, Kinesis, and IAM • Optimize PostgreSQL for advanced SQL workloads, replication, query performance, and data integrity • Design and manage search and retrieval pipelines in OpenSearch/Elasticsearch for high-speed, relevant access to data • Improve observability, lineage, testing, and reliability across the data platform • Automate infrastructure provisioning and environment management using Terraform or CloudFormation • Partner closely with backend, product, and AI teams to enable new data-driven capabilities and platform features • Help define engineering standards, data platform best practices, and operational playbooks as the company scales

United States
$100K - $200K / year
Jobgether logo

Data Engineering Lead

Jobgether

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Data Engineer55 days ago
Full TimeRemoteH1B No Sponsor

Role Description This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Manager Data Engineering - REMOTE. In this role, you will play a crucial part in shaping our data strategy and ensuring the reliability of our data models and pipelines. Your deep technical expertise combined with strong leadership skills will allow you to mentor teams, implement the latest data technologies, and drive operational excellence. You will be at the forefront of enhancing our data architecture, working closely with various departments to align data practices with business needs. The ideal candidate will not only manage teams but will also engage in hands-on technical work, ensuring the ongoing development of scalable data solutions. - Manage and guide data teams to execute on enterprise data strategy. - Provide technical guidance and mentor team members on data technologies. - Design end-to-end data processing for enterprise data warehousing. - Build scalable data pipelines for data loading. - Automate data operations for efficiency. - Ensure high reliability and performance of data pipelines. - Collaborate with engineering teams to optimize data solutions. Qualifications - BS in Computer Science or equivalent; MS preferred. - 5-10 years of experience in people management, particularly in data and analytics. - Proven experience in redesigning data pipelines and enterprise data models. - Mastery of modern data modeling patterns. - Strong expertise in SQL, Python, and tools like Informatica and DBT. - Experience with Lakehouse/Warehouse technologies. - Commitment to automation and engineering best practices. - Experience leveraging GenAI/LLMs to solve complex problems. Benefits - Competitive compensation. - Flexibility to work from anywhere in the United States. - Paid time off including vacation, sick leave, and holidays. - Incentive bonus programs. - Comprehensive health benefits including medical, dental, and vision. - 401(k) retirement plan with company match. - Opportunities for professional development and education assistance. - Engaging and collaborative work environment. - Recognition programs for employee achievements. - Health and wellbeing resources.

United States
Job Closed
InternshipRemoteTeam 51-200

* Fraud and phishing warning * Please apply directly via our volunteering portal/ATS at https://wevote.applytojob.com/apply. Do not apply via any other job portals, aggregators, or sites, as your information may not be secure, or the role may no longer be accepting applications. Thank you Volunteer Role: WeVote Political Data Intern (Volunteer Position) Location: Remote within the US About WeVote WeVote is a nonpartisan get-out-the-vote nonprofit startup and a celebrated Fast Forward nonprofit technology grantee. WeVote is a movement of over 180 passionate volunteers (starting with the founders) who are building open-source mobile technologies that touch and mobilize millions of voters on Election Day. We observe that many voters are busy, distracted, and impatient. We have a goal of providing a complete voting experience in 8 minutes, including the download of our app ("WeVote Ballot Guide, @WeVote"). More information is at WeVote.US. See Twitter @WeVote. We are a 100% volunteer and remote organization. A bit more about the Spring/Summer 2026 Intern Cohort We have a strong history of Summer Internship cohorts (100+ interns over the past four years), and this is our first mid-school year program. We have built 4 small teams of Interns, led by experienced professionals who have a strong connection to academia and our mission. Our interns learn about the current landscape of candidates running for office, politicians in office, and endorsers who support these candidates. Beyond political research, we are always looking to offer ways you can build your professional skills, and grow as a person in a way that leads to your future success. What You’ll Do - Research and update political candidate information for several U.S. states (you get to choose regions you want to learn about from the whole country) - Track candidate declarations and ballot measures - Collect voter guides and endorsements from a range of organizations - Manage and input data into our open-source platforms - Spot-check political data nationwide and research reported issues - Support marketing with relevant political data insights Requirements - Interest in civic engagement, elections, or U.S. politics - Detail-oriented, inquisitive, and proactive learner - Willingness to collaborate remotely with a diverse volunteer team - SPRING INTERNS: Commitment of 8 hours/week for 10-12 weeks during the spring semester (incl. 1 hour in M–F, 8am–5pm PT) - SUMMER INTERNS: Commitment of 20 hours/week for 10-12 weeks during summer (incl. 1 hour in M–F, 8am–5pm PT) - Alignment with WeVote’s nonpartisan mission & values (shared in process) - Access to device/internet; we’re open to discussing access needs - Be located in the US during the academic term What You’ll Gain - Resume-worthy experience in political data, civic tech, and nonprofit work - Growing network of civically engaged peers and mentors - Personalized letter of recommendation after successful completion - Direct impact on equitable voter access and information Our Commitment to Inclusion & Accessibility WeVote is fully volunteer-driven, and we are proud of our grassroots model. We welcome volunteers of all races, ethnicities, genders, sexual orientations, abilities, ages, income levels, and political perspectives—everyone committed to fair, accessible elections. Whether you’re new or bring years of experience, there’s a place for you. We know that unpaid roles present barriers. We offer flexible hours and encourage open discussion of needed accommodations for technology, time, or work style. How to Apply Send your resume and a brief note or cover letter describing: - Why you’re interested in WeVote and our mission and how being an intern will help you on your career path - A bit about yourself, your background or interests - Any questions you have for us

United States