Data Engineer, Senior

Releady; Denver (CO); Hybrid; USD 82,656 - 96,432; Full time

Job summary

Releady is partnering with a leading healthcare technology company to hire a Senior Data Engineer for its Data Services team. You will design, build, and operate complex data pipelines and cloud data solutions, embedding security, automation, and reliability throughout the software lifecycle.

The role is hands-on, technical, and leadership-focused, mentoring other engineers while contributing to engineering best practices.

Qualifications

• Bachelor’s degree or equivalent experience with at least five years of relevant data engineering experience.
• Strong hands-on SQL scripting and automation capabilities.
• Hands-on with Azure cloud services (ADLS, Synapse, Data Factory).
• Experience with modern data stack tools such as dbt, Snowflake, Databricks, Airflow, or Tidal.
• Solid knowledge of data modeling using Data Vault 2.0 and data integration, warehousing, and data quality implementations.
• Experience implementing CI/CD pipelines using Bitbucket or GitHub.
• Strong understanding of agile delivery methodologies and enterprise cloud integration.
• Excellent communication skills to translate technical solutions for non-technical stakeholders.
• Experience in healthcare or regulated environments is preferred; Epic exposure is a plus.
• Awareness of data governance and production certification processes.

Responsibilities

• Design, build, and maintain complex data pipelines for multiple use cases from development through production.
• Develop scalable, cost-effective implementations using reusable data engineering frameworks and patterns.
• Apply DevSecOps practices to security, automation, and quality controls across the SDLC.
• Implement automated testing, validation, and monitoring for data workflows; leverage AI-assisted approaches where appropriate.
• Drive incident management, root-cause analysis, deployment stability, and data reliability.

Skills

SQL

Azure

ADLS

Synapse

Data Factory

dbt

Snowflake

Databricks

Airflow

Tidal

CI/CD

Data Vault 2.0

Data integration

Data warehousing

Data quality

Education

Bachelor’s degree or equivalent experience

Tools

GitHub

Bitbucket

Job description

OVERVIEW

Releady is partnering with a leading healthcare technology company to hire a Data Engineer, Senior for its Data Services team. This organization provides the technology backbone and shared data infrastructure for nonprofit, community, and regional health plans nationwide, unifying clinical, claims, demographic, and provider data into a single governed platform that powers automation and AI deployment across core health plan operations.

This role will report to a Senior Manager or Manager within Data Solutions and will independently design, build, and operate complex data pipelines and cloud data solutions, embedding security, automation, and reliability throughout the software development lifecycle. The Data Engineer, Senior is a hands‑on technical leader who ensures production readiness and operational excellence across the organization’s data products, and who mentors other engineers while contributing to engineering best practices.

NOTE: Must be eligible to work on W2 without sponsorship. Not eligible for C2C.

• Pay Rate: $60–$70/hr
• Duration: 6-month contract‑to‑hire
• Location: Hybrid or Remote, however must reside in the following states: WA, OH, CA, AZ, CO, CT, FL, GA, MD, MN, NV, OR, AL, IL, VA, WI, TX, NY

RESPONSIBILITIES

Data Pipeline Design & Delivery

• Design, build, and maintain complex data pipelines from development through production for multiple use cases.
• Develop efficient, scalable, and cost‑effective implementations by leveraging reusable frameworks and patterns.

DevSecOps & Quality Integration

• Integrate security, automation, and quality controls throughout the software development lifecycle using DevSecOps best practices.
• Implement and maintain automated testing, validation, and monitoring frameworks for data workflows.
• Leverage AI‑assisted approaches across development, testing, and deployment to reduce operational overhead and improve quality.

Operational Excellence

• Drive incident management, root cause analysis, and deployment stability.
• Monitor and manage software configuration changes to proactively address data reliability and customer experience issues.
• Coordinate sustaining support for multiple data platforms or business processes within a cloud environment.
• Perform monitoring, tuning, and optimization of data pipelines to ensure performance, availability, and efficient resource utilization.

Cross‑Functional Collaboration & Leadership

• Work within an agile / DevSecOps pod model alongside solution leads, data modelers, analysts, and business partners.
• Translate complex functional requirements into robust technical designs.
• Mentor and support Data Engineers through code reviews, knowledge sharing, and engineering guidance.
• Apply domain knowledge of healthcare and enterprise IT trends to inform solution delivery.

QUALIFICATIONS

• Bachelor’s degree or equivalent experience, with a minimum of five years of relevant data engineering experience.
• Strong hands‑on experience with SQL, including scripting and automation.
• Expertise with cloud platforms, Azure preferred, and services such as ADLS, Synapse, and Data Factory.
• Hands‑on experience with modern data stack tools such as dbt, Snowflake, Databricks, Airflow, or Tidal.
• Solid knowledge of data modeling using Data Vault 2.0, along with data integration, data architecture, warehousing, and data quality.
• Experience implementing CI/CD pipelines using tools such as Bitbucket or GitHub.
• Strong understanding of agile delivery methodologies and enterprise cloud integration.
• Excellent communication skills, with the ability to translate technical solutions for non‑technical stakeholders.
• Experience in healthcare or other regulated environments is preferred; Epic ecosystem exposure is a plus.
• Awareness of data governance, security standards, and production certification processes.

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, disability status, or other non‑merit factor. We are committed to creating a diverse and inclusive environment for all employees.