ActiveSoft, Inc

ActiveSoft, Inc

Data Engineer (Lakehouse / Databricks & DBT) - Hamilton, OH 45011 - Long Term Contract

Hamilton, Ohio, USContractorYesterday

Company

ActiveSoft, Inc

Job type

Contractor

Location

Hamilton, Ohio, US

Posted

Yesterday

Salary

Not specified
Resume Examples

Browse professional resume examples with key skills and ATS-friendly formatting.

Browse examples

Tailor Your Resume to This Job

Mokaru reads this job description and creates a tailored resume for you, ready to send.

Create tailored resume

Job description

Data Engineer (Lakehouse / Databricks & DBT)

Hamilton, OH 45011 ( 2 days a week onsite)

Long Term Contract

Role Summary

This role will lead the buildout and maintenance of reliable data pipelines and data marts that support growing, operations, and finance use cases. The position is expected to reduce dependency on existing team bandwidth by independently driving grow-data engineering deliverables.

Key Responsibilities

Build and maintain ingestion pipelines for grow-related data domains such as irrigation, lighting, climate, and production context into a Databricks data lake.

Develop data marts for domains such as growing, operations, and finance.

Maintain and improve marts as source data and business requirements evolve.

Ensure data quality, reliability, and maintainability of pipelines and marts.

Collaborate with data science and analytics teams on data mart design.

Required Qualifications

3 years minimum data engineering experience

Experience with Databricks and modern lakehouse patterns.

Proven experience building production ETL/ELT pipelines from external sources.

Familiarity with DBT and Dimensional modeling

Responsibilities

  • This role will lead the buildout and maintenance of reliable data pipelines and data marts that support growing, operations, and finance use cases
  • The position is expected to reduce dependency on existing team bandwidth by independently driving grow-data engineering deliverables
  • Build and maintain ingestion pipelines for grow-related data domains such as irrigation, lighting, climate, and production context into a Databricks data lake
  • Develop data marts for domains such as growing, operations, and finance
  • Maintain and improve marts as source data and business requirements evolve
  • Ensure data quality, reliability, and maintainability of pipelines and marts
  • Collaborate with data science and analytics teams on data mart design

Qualifications

  • 3 years minimum data engineering experience
  • Experience with Databricks and modern lakehouse patterns
  • Proven experience building production ETL/ELT pipelines from external sources
  • Familiarity with DBT and Dimensional modeling

Stand out from other applicants

AI reads this job description and tailors your resume to match, optimized for ATS filters.

Similar jobs

Ready to land your next role?

Join thousands of professionals who use Mokaru to manage their job search. AI-powered resume tailoring, application tracking, and more.

Create Free Resume