Data Engineer (Snowflake, dbt)

Ledgent Technology; Long Beach (CA); On-site; USD 90,000 - 117,000; Full time

Job summary

Ledgent Technology is seeking a hands-on Data Engineer to own enterprise data platforms in a 2-day onsite role in Long Beach, CA. You will architect, build, and govern scalable ELT pipelines using Snowflake, dbt, SQL, and Python, connecting data from SQL Server, APIs, and flat files to the data warehouse.

Key responsibilities include data modeling, pipeline automation, data quality and governance, and collaboration with BI and IT leadership, while ensuring HIPAA compliance in a

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Data Engineering, or equivalent practical experience.
• 5+ years building and supporting enterprise data platforms and large-scale data integration solutions.
• 3+ years hands-on experience with Snowflake and dbt.
• Strong SQL and Python development skills.
• Experience with cloud technologies; AWS (S3, ECS, Lambda) preferred.
• Exposure to Terraform, CI/CD practices, Airflow, or Dagster is highly desirable.
• Experience working in healthcare or HIPAA-regulated environments is a plus.

Responsibilities

• Involved in the design, development, and governance of enterprise data models, dbt transformations, and overall data architecture
• Build, maintain, and optimize scalable ELT pipelines using SQL and Python, integrating data from SQL Server, third-party applications, APIs, and flat files into Snowflake
• Own data platform infrastructure, automation, deployment processes, and engineering best practices
• Establish and maintain data quality standards, monitoring frameworks, and technical documentation
• Partner closely with BI teams, business stakeholders, and IT leadership to guide data strategy and architectural decisions
• Ensure compliance with HIPAA requirements and established governance and change-management processes

Skills

SQL

Python

Education

Bachelor's degree in Computer Science, Information Systems, Data Engineering, or equivalent practical experience

Tools

Snowflake

dbt

AWS

Terraform

CI/CD

Airflow

Dagster

Job description

No Corp-to-corp. No 3 rd party firms .Position: Data Engineer (Snowflake, dbt) Location: 2-day onsite in Long Beach, CA (Only local candidates will be considered) Terms: Contract-to-hire Compensation: $65.00 to $85.00 per hour (DOE).

Are you passionate about building scalable, high-performing data platforms that power critical business decisions? We're looking for a hands-on Data Engineer to partake in the enterprise data ecosystem, driving the architecture, reliability, and evolution of a modern cloud-based data platform.

In this role, you'll serve as the primary technical owner of our Snowflake data warehouse, dbt transformation framework, and broader data engineering environment. You'll play a key role in ensuring data quality, availability, scalability, and governance across reporting, analytics, and operational use cases.

What You'll Do

• Involved in the design, development, and governance of enterprise data models, dbt transformations, and overall data architecture
• Build, maintain, and optimize scalable ELT pipelines using SQL and Python, integrating data from SQL Server, third-party applications, APIs, and flat files into Snowflake
• Own data platform infrastructure, automation, deployment processes, and engineering best practices
• Establish and maintain data quality standards, monitoring frameworks, and technical documentation
• Partner closely with BI teams, business stakeholders, and IT leadership to guide data strategy and architectural decisions
• Ensure compliance with HIPAA requirements and established governance and change-management processes

What We're Looking For

• Bachelor's degree in Computer Science, Information Systems, Data Engineering, or equivalent practical experience
• 5+ years of experience building and supporting enterprise data platforms and large-scale data integration solutions
• 3+ years of hands-on experience with Snowflake and dbt
• Strong SQL and Python development skills
• Experience with cloud technologies and modern data engineering tools; AWS (S3, ECS, Lambda) preferred
• Exposure to Terraform, CI/CD practices, Airflow, or Dagster is highly desirable
• Experience working in healthcare or other HIPAA-regulated environments is a plus.

All qualified applicants will receive consideration for employment without regard to race, color, national origin, age, ancestry, religion, sex, sexual orientation, gender identity, gender expression, marital status, disability, medical condition, genetic information, pregnancy, or military or veteran status. We consider all qualified applicants, including those with criminal histories, in a manner consistent with state and local laws, including the California Fair Chance Act, City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, Los Angeles County Fair Chance Ordinance, and San Francisco Fair Chance Ordinance.