Senior Data Engineer

uniteus; United States; Remote; USD 145,000 - 170,000; Full time

Job summary

Unite Us seeks an experienced Data Engineer to design, build, and operate data warehouses and pipelines. You will create reliable data pipelines, ensure data quality, and enable access for internal teams and external stakeholders.

You will also support onboarding for data products and participate in on-call rotations. You will collaborate with analytics, product, and engineering teams to solve data issues and improve platform reliability.

Qualifications

• Six or more years designing, building, and operating production data warehouses, lakes, and pipelines.
• Strong SQL and Python skills, with experience using Snowflake and dbt.
• Experience with orchestration tools such as Airflow and with batch and streaming pipeline design.
• Familiarity with cloud data platforms and tools such as AWS, S3, ECS, or RDS, as well as CI/CD practices.
• Experience with infrastructure tools such as Kubernetes, Terraform, or Docker; familiarity with Kafka and data quality frameworks is useful.
• Ability to build reliable, high-performance systems and troubleshoot production data problems.

Responsibilities

• Design data architecture and infrastructure that meet business, product, and client needs.
• Build and maintain ETL or ELT pipelines for loading data into a warehouse, including batch and streaming workflows.
• Test, monitor, and tune pipelines for reliability, performance, and scale; validate data and uphold governance standards.
• Make well-documented data accessible to stakeholders and contribute to platform architecture and engineering practices.
• Partner with application engineering, product, solutions, analytics, and delivery teams to resolve data issues and meet requirements.
• Support onboarding for data products and take part in team on-call coverage.

Skills

SQL

Python

Data Architecture

Data Governance

Cloud Platforms

Tools

Snowflake

dbt

Airflow

AWS

S3

ECS

RDS

Kubernetes

Terraform

Docker

Kafka

Job description

Role overview

Design, build, and operate data systems that support healthcare and social care products and services. You’ll create reliable pipelines and warehouse integrations, protect data quality and accessibility, and work with engineering and product partners to make information useful for internal teams and external stakeholders. The position also includes operational support for customer onboarding and participation in an on-call rotation.

Responsibilities

• Design data architecture and infrastructure that meet business, product, and client needs.
• Build and maintain ETL or ELT pipelines for loading data into a warehouse, including batch and streaming workflows.
• Test, monitor, and tune pipelines for reliability, performance, and scale; validate data and uphold governance standards.
• Make well-documented data accessible to stakeholders and contribute to platform architecture and engineering practices.
• Partner with application engineering, product, solutions, analytics, and delivery teams to resolve data issues and meet requirements.
• Support onboarding for data products and take part in team on-call coverage.

Requirements

• Six or more years designing, building, and operating production data warehouses, lakes, and pipelines.
• Strong SQL and Python skills, with experience using Snowflake and transformation tools such as dbt.
• Experience with orchestration tools such as Airflow and with batch and streaming pipeline design.
• Familiarity with cloud data platforms and tools such as AWS, S3, ECS, or RDS, as well as CI/CD practices.
• Experience with infrastructure tools such as Kubernetes, Terraform, or Docker; familiarity with Kafka and data quality frameworks is useful.
• Ability to build reliable, high-performance systems and troubleshoot production data problems.

Nice to have

• Experience with healthcare, claims, clinical, or social determinants of health data, including its quality, scale, sensitivity, and compliance needs.
• Experience supporting enterprise data platforms or analytics tools such as Tableau, Looker, ThoughtSpot, or Sigma.

Benefits and work setup

This is a U.S.-based remote position with a target annual pay range of $145,000–$170,000, depending on skills, experience, and location. Benefits include medical, dental, and vision coverage; flexible time off and 14 paid holidays; parental leave; a 401(k) with immediate vesting and employer match; wellness resources; and work-from-home equipment.