Data Engineer - Consultant (Remote)

Job Description

OVERVIEW

This Senior Data Engineer position is with a healthcare insurance industry client where you'll join their Data Engineering development team. You'll be responsible for the design, development, testing, and deployment of enterprise data solutions using both on-premises and cloud technologies. Reporting to the client's Manager of Data Engineering Development, you'll build and maintain data pipelines and warehousing solutions utilizing their modern cloud-based tech stack centered around Snowflake, dbt Cloud, and Azure.

Duration: 6+ months contract

Location: Remote, but must reside in California, Arizona, Washington, Oregon, Nevada. Working hours will be PST. Preference for California.

Rate: $60/hr - $85/hr DOE

***Must be able to work in the United States without sponsorship***

RESPONSIBILITIES

Design, develop, and implement data integration pipelines and data warehouse solutions using Snowflake, dbt Cloud, and Azure technologies (ADLS, Synapse)

Build and optimize production-ready data workflows, ensuring high performance, reliability, and scalability

Create and maintain data pipelines following Data Vault architectural principles for warehouse modeling

Work with Collibra for data governance, quality assurance, and metadata management

Leverage Refuel.ai for data mastering and Striim for data validation processes

Assist in troubleshooting and resolving data pipeline issues by analyzing end-to-end workflows

Collaborate with client stakeholders to translate requirements into effective data solutions

Support data visualization and reporting needs through Tableau

Implement CI/CD practices using Git repositories and modern DevOps tools

Participate in an Agile/DevSecOps pod model alongside solution architects, data modelers, analysts, and business partners

QUALIFICATIONS

Bachelor's degree in Computer Science, Information Systems, or related field (or equivalent experience)

5+ years of experience in data engineering or related roles

Strong proficiency in SQL and database technologies including Snowflake, Oracle, and SQL Server

Hands-on experience with dbt Cloud for data transformation and pipeline development

Demonstrated experience with Azure cloud technologies, particularly ADLS and Synapse

Knowledge of Data Vault modeling principles and implementation techniques

Experience with data governance and data quality tools, particularly Collibra

Familiarity with data visualization platforms, especially Tableau

Understanding of version control systems (Git, Bitbucket) and CI/CD practices

Experience with scheduling systems like Tidal or Control-M

Working knowledge of Agile methodologies and DevOps principles applied to data pipelines

Preferred Skills:

Experience with data observability platforms and data quality monitoring

Knowledge of Python, R, KNIME, or Alteryx for data science applications

Experience with Refuel.ai and Striim technologies

Background in data migration from traditional databases (Oracle, SQL Server) to cloud platforms

Experience with enterprise scheduling tools like Tidal

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.

Fully remote