• 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

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.

* 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

Role Description Join Ira as a Data Engineer and become a vital part of a dynamic team dedicated to transforming data into actionable insights. As a Data Engineer, you will play a crucial role in designing, building, and maintaining the infrastructure and systems that enable seamless data flow and analysis. You will collaborate with cross-functional teams to implement robust data pipelines, ensuring data accuracy, integrity, and security. Your expertise will contribute to optimizing data processes and supporting decision-making across the organization. - Develop and maintain scalable data pipelines to support business requirements. - Collaborate with cross-functional teams to gather and analyze data requirements. - Implement data integration solutions using ETL tools and technologies. - Optimize and improve data processing workflows to enhance performance. - Ensure data quality and integrity through rigorous testing and validation. Qualifications - Bachelor's degree in Computer Science, Information Technology, or a related field. - Proficiency in programming languages such as Python or Scala. - Experience with data storage and processing technologies like Spark, Azure Synapse, ADF, or Fabric. - Strong understanding of database systems and SQL. - Ability to work collaboratively in a team environment and communicate technical concepts effectively. Benefits - Work hard, have fun, create value, and build the future of eCommerce. - Enjoy a start-up environment with a strong culture and values to accelerate your career. - New ideas are always encouraged. - We believe in transparency, trust, and openness as our key values. - Experience a high-ownership culture. - Participate in workcations every quarter. - Everyone here at Ira codes and cracks jokes.