Senior Data Engineer

Connie Health Inc • Boston, MA

5h • Hybrid

About The Position

Connie Health is seeking a Senior Data Engineer to architect, build, and scale the data platform that powers our analytics, operations, and AI-driven products. This role sits at the core of our data ecosystem and is responsible for designing reliable, performant, and secure data pipelines that integrate information from our CRM, third-party partners, and internal systems into a unified, analytics-ready platform.
You will be a technical leader who sets standards for data modeling, pipeline reliability, and engineering best practices. Beyond building, you will partner closely with Analytics, Sales, Operations, Finance, Product, and Engineering to ensure that high-quality, trustworthy data is available for decision-making, experimentation, and financial reporting. The ideal candidate is equally comfortable with low-level pipeline implementation and high-level system design, and enjoys solving complex data infrastructure problems at scale.

This is a hybrid role, based out of our Boston office near South Station.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related quantitative field, or equivalent practical experience.
• 5+ years of experience in Data Engineering or Backend Engineering with a strong data focus.
• Deep expertise with data warehouses (Redshift) and cloud platforms (AWS).
• Advanced SQL skills and strong proficiency in Python (or a similar language) for building and maintaining data pipelines.
• Experience with orchestration tools (Airflow) and transformation frameworks (dbt).
• Strong understanding of data modeling, dimensional design, and performance/cost optimization.
• Proven ability to design reliable, fault-tolerant systems and troubleshoot complex data pipeline failures.
• Excellent communication skills, with the ability to work cross-functionally and explain technical concepts clearly.

Nice To Haves

• Experience with HIPAA compliant data warehouses and data architectures.
• Experience with Salesforce data models.
• Experience with Looker and LookML.
• Experience with managed ingestion frameworks (Fivetran)
• Experience supporting real-time or near–real-time analytics use cases alongside batch warehousing.
• Prior ownership of SLA/SLOs for data availability, freshness, and accuracy.
• Experience building or operating feature stores or analytics layers that support machine learning models.

Responsibilities

• Design, build, and maintain scalable batch and streaming data pipelines that ingest data from Salesforce, product systems, and external partners into our Redshift data warehouse.
• Own the architecture and evolution of our data platform, including ingestion, transformation, orchestration, and data quality monitoring.
• Develop and maintain robust data models and transformation layers that serve analytics, finance, operations, and machine learning use cases.
• Establish and enforce best practices for data reliability, testing, observability, and documentation across the data stack.
• Partner with Analytics and Business teams to translate analytical requirements into well-structured, performant datasets.
• Collaborate with Product and Engineering to instrument new features and ensure event data is accurate, complete, and analysis-ready.
• Ensure data security, access controls, and compliance with HIPAA and other regulatory requirements for handling sensitive healthcare data.

Benefits

• Competitive salary and equity packages.
• Generous vacation policy and holiday observances.
• Hybrid work schedule with designated in-office days at our fully stocked office.
• Comprehensive health insurance plans.
• 401k with company match.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior