
501 - 1000 employees
Founded 2015
đź’¸ Finance
đź’ł Fintech
đź’° $200M Series D on 2021-08
Finance • Fintech
Human Interest is a company that provides affordable and full-service 401(k) and 403(b) retirement plans, primarily targeting small and medium-sized businesses. Founded in 2015, they aim to streamline the retirement planning process through seamless payroll integrations with over 500 leading payroll systems. The company emphasizes low-cost funds and zero transaction fees, and offers customizable retirement solutions to meet the diverse needs of employers and their employees. Human Interest also provides investment advisory services through its subsidiary, Human Interest Advisors LLC. Their goal is to make retirement benefits accessible to businesses of varying sizes, enhancing employee financial wellness and satisfaction.
🔥 13 hours ago
🇺🇸 United States – Remote
đź’µ $190k - $230k / year
⏰ Full Time
đźź Senior
đźš° Data Engineer
🦅 H1B Visa Sponsor
đź‘» Ghost score 0%
Improve your chances of getting an interview by checking your resume score before you apply.

501 - 1000 employees
Founded 2015
đź’¸ Finance
đź’ł Fintech
đź’° $200M Series D on 2021-08
Finance • Fintech
Human Interest is a company that provides affordable and full-service 401(k) and 403(b) retirement plans, primarily targeting small and medium-sized businesses. Founded in 2015, they aim to streamline the retirement planning process through seamless payroll integrations with over 500 leading payroll systems. The company emphasizes low-cost funds and zero transaction fees, and offers customizable retirement solutions to meet the diverse needs of employers and their employees. Human Interest also provides investment advisory services through its subsidiary, Human Interest Advisors LLC. Their goal is to make retirement benefits accessible to businesses of varying sizes, enhancing employee financial wellness and satisfaction.
• Design, build, and operate distributed services and compute infrastructure for the data platform, including containerized workloads on AWS ECS, autoscaling, resource sizing, and orchestration • Own end-to-end design and development of scalable data pipelines and data-moving services from ingestion and orchestration through transformation and delivery • Improve movement of event-sourced data from production systems into data infrastructure and back to other systems • Participate in on-call for the data platform and own production issues in distributed data systems end to end • Secure participant and employer data through PII classification and masking, role-based access controls, least-privilege patterns, encryption, key management, lineage, and audit trails supporting SOC 2 and regulatory obligations • Lead technical direction and evolution of the data platform toward AI-first infrastructure, including AI consumption, unstructured data access, AI tooling, and production model and AI workloads • Build interfaces for data engineers, analysts, and AI systems, and systems that move curated data from the warehouse into production services and downstream tools • Mentor engineers and analysts and raise standards for testing, code review, and operational readiness
• 5+ years of experience building and operating production software systems, with significant experience in data-intensive systems such as data pipelines, data streaming platforms, and data infrastructure • Experience designing distributed systems and services, including concurrency, backpressure, idempotency, partial failure, and related tradeoffs • Hands-on experience running containerized workloads in production on AWS, including scaling, resource sizing, and performance and cost tuning under real load • Ability to independently own and improve complex production systems • Experience with automated testing, code review, CI/CD, and infrastructure as code such as Terraform • Experience with workflow orchestration at scale, including Airflow or equivalent tools • Strong desire to leverage AI tools and workflow automation as the primary way work gets done • Preferred: hands-on experience with event-sourced or append-only log systems, change data capture, or streaming platforms such as Kafka or Kinesis • Preferred: working knowledge of cloud data warehouses such as Snowflake, including access control, performance tuning, and cost management • Preferred: experience deploying and operating machine learning models in production • Preferred: experience with data lakehouse architectures and open table formats such as Apache Iceberg or Delta Lake • Preferred: experience building data infrastructure for AI-driven data access, including MCP, AI data governance, and evaluation of AI-generated query responses • Preferred: background in fintech, financial services, or another regulated or compliance-driven industry
• 401(k) plan with dollar-for-dollar employer match up to 4% of compensation, immediately vested, with $0 plan fees • Top-of-the-line health plans, dental insurance, and vision insurance • Competitive time off and parental leave • Addition Wealth: Unlimited access to digital tools, financial professionals, and a knowledge center supporting financial wellness • Lyra enhanced mental health support for employees and dependents • Carrot fertility healthcare and family-forming benefits • Candidly student loan resources • Monthly work-from-home stipend • Quarterly lifestyle stipend • Team-building experiences, including virtual social events and team offsites • Additional compensation components such as bonuses, commissions, and equity may be offered • Physical, financial, and mental wellness benefits
Apply Now🔥 17 hours ago
Lead Data Engineer owning data pipelines and infrastructure powering Adelaide's AU advertising attention metric. Leading data engineering operations for the company's SaaS analytics platform.
🔥 17 hours ago
Leading global master data platforms, integrations, and operations for Johnson & Johnson’s orthopaedics business. Managing teams, governance, architecture, and enterprise data improvements.
🇺🇸 United States – Remote
đź’µ $122k - $212.8k / year
⏰ Full Time
đźź Senior
đźš° Data Engineer
🦅 H1B Visa Sponsor
🔥 17 hours ago
Global MDM engineering leader overseeing platforms, data governance, and operations for Johnson & Johnson’s orthopaedics business. Leading teams and enterprise data initiatives across U.S. operations.
🇺🇸 United States – Remote
đź’µ $122k - $212.8k / year
⏰ Full Time
đźź Senior
đźš° Data Engineer
🦅 H1B Visa Sponsor
🔥 18 hours ago
GCP Cloud Architect Lead building secure Google Cloud data platforms for a federal health customer. Leading pipelines, governance, migrations, and technical standards.
🇺🇸 United States – Remote
đź’µ $142k - $158k / year
⏰ Full Time
🟡 Mid-level
đźź Senior
đźš° Data Engineer
🔥 20 hours ago
Data Engineer building Solace’s healthcare data platform with Airflow, Snowflake, and Terraform. Owning reliable pipelines and FastAPI services for patient-outcome decisions.
🇺🇸 United States – Remote
đź’µ $130k - $175k / year
⏰ Full Time
🟡 Mid-level
đźź Senior
đźš° Data Engineer
🦅 H1B Visa Sponsor