Senior Data Engineer at Connie Health Inc

Boston, Massachusetts, United States -

Full Time

Start Date

Immediate

Expiry Date

05 May, 26

Salary

0.0

Posted On

04 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Platform Architecture, Data Pipeline Development, Redshift, AWS, SQL, Python, Airflow, dbt, Data Modeling, Data Quality Monitoring, HIPAA Compliance, System Design, Fault-Tolerant Systems, Cross-functional Collaboration, Salesforce Integration, Streaming Data

Industry

Hospitals and Health Care

Description

Description About Connie Health Connie Health is a fast-growing Medicare brokerage on a mission to empower older Americans to make confident, worry-free Medicare plan decisions. We offer a tech-enabled Medicare navigation platform that combines an AI-driven technology with local Medicare experts to help people select optimal healthcare plans and navigate their benefits. Our culture is mission-driven, collaborative, and innovative, as we strive to transform healthcare through data-driven insights and personalized guidance. We value Relationships First, Data-Driven Decision Making, and being Accountable in delivering unbiased, high-quality advice to our customers. Role Overview 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. What You’ll Do 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. Requirements Minimum Qualifications 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. Preferred Qualifications 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. Why Join Connie Health? 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. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Responsibilities

The Senior Data Engineer will be responsible for architecting, building, and scaling the data platform, focusing on designing reliable, performant, and secure data pipelines that integrate various data sources into an analytics-ready warehouse. This role involves technical leadership in setting standards for data modeling and pipeline reliability while partnering with business teams to ensure trustworthy data availability.