Senior Cloud Data Engineer- Technology R&D

Careers Signant Health

About The Position

As a Senior Cloud Data Engineer embedded within Signant Health's R&D group, you will be a hands-on leader and builder — not a manager from the sidelines. You will lead sprint development efforts and guide build teams through complex technical challenges. R&D at Signant is actively moving toward coding leaders on build teams, and this role reflects that direction. You will also interface directly with business stakeholders to translate requirements into architecture and deliverables. A core focus of the entire R&D organization right now is AI agentic development — using AI-assisted and autonomous coding workflows to accelerate delivery. Candidates who bring experience in this space will stand out.

Requirements

Significant cloud experience (AWS/Azure/Google) moving data at scale, with exposure to large-scale data technologies such as AWS Redshift, Google BigQuery, Snowflake, Databricks, or Azure Synapse.
Experience using serverless techniques in a cloud environment to build data pipelines that move data at scale to centrally warehoused, defined schemas.
Hands-on experience integrating AI tools and agentic coding workflows throughout the SDLC.
CI/CD-first mindset with experience building automated deployment pipelines.
Proven track record leading development efforts from initial scoping through product delivery for data movement.
Composed under pressure, with the ability to manage multiple workstreams simultaneously.
Bachelor's degree in a relevant field, or equivalent professional experience.
Strong problem-solving skills with good judgment on when to escalate.
Exceptional attention to detail and commitment to high-quality output.

Nice To Haves

Snowflake for cloud data warehousing.
Agentic conversational BI tooling.
Exposure to clinical or healthcare data environments.
Kafka or similar tools for real-time data streaming.

Responsibilities

Be part of the Data team responsible for building the central data strategy for data science, analytics, business intelligence, and agentic workflows.
Lead sprint development and coordinate work streams across teams — this is a hands-on data engineering role, not a management-only position.
Work with architecture to design and implement high-level technical architectures for both streaming and batch processing systems, with a focus on scalability and efficiency.
Conduct proof-of-concepts (POCs) on emerging technologies and architectural patterns to keep the team ahead of industry trends.
Collaborate directly with business and technology stakeholders to translate requirements into product features aligned with strategic goals.
Lead implementation of new data management initiatives and restructure existing data architectures for improved performance.
Proactively identify and resolve data quality and reliability issues before they become operational problems.
Clean, prepare, and optimize large-scale datasets for ingestion and consumption across platforms.
Conduct collaborative reviews of designs, code, test plans, and dataset implementations to uphold data engineering standards.
Analyze and profile data to inform scalable, high-performance solution design.