DevOps Engineer/Data Pipeline Engineer/Data Platform Engineer

Location: Boston, MA (local candidate to MA/RI/NH) must be able to potentially meet for a F2F interview


Duration: 12+ month contract

Requirements:

Title: DevOps Engineer/Data Pipeline Engineer/Data Platform Engineer ---This is NOT a Data Engineer opening


Key Skills: CI/CD, Data Pipelines, AWS, Airflow, Informatica/IICS, Terraform

Job Description:


EOHHS is seeking an experienced DevOps Engineer/Data Pipeline Engineer/Data Platform Engineer to support our cloud data warehouse modernization initiative, migrating from a SQL Server/AWS based system to a Snowflake-based data platform. The DevOps Engineer is responsible for developing, maintaining, and optimizing data pipelines and integration processes that support analytics, reporting, and business operations. The DevOps Engineer will design and implement CI/CD pipelines, automate data pipeline deployments, and ensure operational reliability across Snowflake, Informatica, and Apache Airflow environments. This role works closely with our EHS IT team supporting the Department of Mental Health and Department of Public Health Hospitals.


The primary work location for this role will be at 40 Broad Street, Boston Massachusetts. The work schedule for this position is Monday thru Friday, 9:00AM to 5:00PM EST.


DETAILED LIST OF JOB DUTIES AND RESPONSIBILITIES:

Build and maintain CI/CD (Continuous Integration (CI)/Continuous Delivery/Deployment (CD) pipelines for Snowflake, Informatica (IICS), and Airflow DAG (Directed Acyclic Graph) deployments


Implement automated code promotion between development, test, and production environments


Integrate testing, linting, and security scanning into deployment processes


Develop IaC(Infrastructure as Code using Terraform or similar tools to manage Snowflake objects, network, and cloud resources


Manage configuration and environment consistency across multi-region/multi-cloud setups


Maintain secure connectivity between cloud and on-prem systems (VPNs, private links, firewalls)


Implement logging and alerting for Airflow DAGs, Informatica workflows, and Snowflake performance


Develop proactive monitoring dashboards for job failures, data quality triggers, and warehouse usage


Optimize pipeline performance, concurrency, and cost governance in Snowflake


Own deployment frameworks for ETL/ELT code, SQL scripts, metadata updates


Support user access provisioning & RBAC alignment across Snowflake, Informatica, and Airflow


Troubleshoot platform and orchestration issues, lead incident response during outages


Enforce DevSecOps practices including encryption, secrets management, and key rotation


Implement audit, logging, compliance, and backup/restore strategies aligned with governance requirements


Participate in testing, deployment, and release management for new data workflows and enhancements.

Required Qualifications

3-7+ years in DevOps, Cloud Engineering, or Data Platform Engineering roles


Hands-on experience with:


Snowflake (roles, warehouses, performance tuning, cost control)


Apache Airflow (DAG orchestration, monitoring, deployments)


Informatica (IICS pipeline deployment automation preferred)


Strong CI/CD skills using GitLab, GitHub Actions, Azure DevOps, Jenkins, or similar


Proficiency with Terraform, Python, and Shell scripting


Deep understanding of cloud platforms: AWS, Azure, or GCP


Experience with containerization (Docker, Kubernetes), especially for Airflow


Strong knowledge of networking concepts and security controls

Preferred Knowledge, Skills & Abilities:

Experience migrating from SQL Server or other legacy DW platforms


Knowledge of FinOps practices for Snowflake usage optimization


Background in healthcare, finance, or regulated industries a plus


Soft Skills

Effective communication with technical and non-technical stakeholders


Ability to troubleshoot complex distributed data workloads


Strong documentation and cross-team collaboration skills


Proactive and committed to process improvement and automation


Detail-oriented, with a focus on data accuracy and process improvement.

Education and Certification:

Bachelor's degree or equivalent years in Computer Science, Information Systems, Data Engineering, Health Informatics, or related field.