Senior DevOps & Data Engineer - Hybrid AWS Data Lakehouse

Alder; Newton (MA); Hybrid; USD 175,000 - 195,000; Full time

Benefits offered by this job

Competitive compensation

Hybrid work opportunities

Health/dental/vision insurance

Professional development reimbursement

Collaborative culture

Job summary

Alder is building an intelligence-first operating system for eldercare. We seek a Principal DevOps & Data Engineer to own the AWS-based platform and the data lakehouse, collaborating with data and application engineers to ensure reliability, security, and cost efficiency in a hybrid role based near Greater Boston.

You will implement IaC, run CI/CD pipelines, and shape governance for PHI/PII data, while enabling analytics and BI workloads across the organization.

Qualifications

• 8+ years of DevOps and data engineering with hands-on depth.
• Strong AWS experience: multi-account, IAM, networking, EKS or equivalent Kubernetes, S3, Athena/Glue or similar.
• Infrastructure as code (Terraform, CDK or CloudFormation) and CI/CD pipeline design (GitLab CI preferred).
• Production Kubernetes operations, including service mesh, autoscaling, secrets and observability.
• Data engineering fundamentals: SQL, data modeling, batch and streaming pipelines.
• Proficiency in Python and shell scripting; comfortable reading Java services.
• Security and compliance mindset; experience operating systems that handle regulated or sensitive data.
• Clear written and verbal communication; able to work in a hybrid, small-team environment in Greater Boston.

Responsibilities

• Own and evolve AWS multi-account environment (Dev, Preprod, Prod, Internal Tools, Management, Data & Analytics), IAM Identity Center and HIPAA-aligned guardrails.
• Run the Kubernetes platform (EKS, Istio) and GitLab CI/CD pipelines: deployments, environments, secrets, rollbacks and developer tooling.
• Define infrastructure as code (Terraform or CDK) so every environment is reproducible and auditable.
• Build observability, alerting and incident response practices; drive reliability, cost and security improvements across services.
• Operate the data lakehouse on S3 with medallion layers, dbt transformations and Athena, including ingestion from PostgreSQL event streams and legacy systems.
• Build and schedule reliable, tested data pipelines with clear data contracts, lineage and quality checks; support BI and analytics consumers.
• Partner with application engineers on event-sourced data models and with the data engineer on warehouse models and reporting.
• Implement PHI/PII handling in data and platform layers: encryption, access control, de-identification, retention and audit logging.
• Document runbooks and standards; mentor the team on DevOps and data engineering practices.

Skills

DevOps engineering

AWS multi-account

Kubernetes (EKS)

Terraform

CI/CD

Python

Security & compliance

Data engineering

Tools

dbt

Athena

S3

GitLab CI

Prometheus

Grafana

Istio

Terraform

CDK

CloudFormation

Kubernetes

Job description

Alder is building an intelligence-first operating system for eldercare. We seek a Principal DevOps & Data Engineer to own the AWS-based platform and the data lakehouse, collaborating with data and application engineers to ensure reliability, security, and cost efficiency in a hybrid role based near Greater Boston.

You will implement IaC, run CI/CD pipelines, and shape governance for PHI/PII data, while enabling analytics and BI workloads across the organization.