Lifted, an Upwork Company
Technology
SeniorDataEngineer
Neural analysis suggests this role is
optimal for not-applicable candidates.
“Senior Data Engineer at Lifted, an Upwork Company. Skills: Data pipelines, Snowflake data models, Dbt transformations, Data observability. Build scalable data pipelines. Optimize scalable data pipelines”
What You'll Achieve.
Support analytics; Support reporting; Support business decision-making
Industry & Context.
Troubleshooting; Issue resolution
LATAM-based candidates, Overlap with U.S. hours, 40 hours per week
What They're Looking For.
Must Have
SQL skills, Python experience, Snowflake experience, Dbt experience, AWS familiarity, ETL/ELT workflows experience, Monitor pipeline health, Troubleshoot workflow issues, Improve data reliability, Improve data quality, Communication skills
Nice to Have
Dagster or similar orchestration experience, Marketplace analytics data products experience, Hiring analytics data products experience, Performance analytics data products experience, Business analytics data products experience, Dashboarding experience, Reporting experience
What You'll Do.
Build scalable data pipelines
Optimize scalable data pipelines
Design Snowflake warehouse structures
Maintain Snowflake warehouse structures
Design database tables
Maintain database tables
Design performant data models
Maintain performant data models
Develop reliable ETL/ELT workflows
Maintain data quality
Maintain data consistency
Improve pipeline reliability
Monitor pipeline health
Troubleshoot workflow issues
Resolve issues proactively
Support reporting needs
Support dashboard needs
Provide actionable insights
How You'll Work.
Team & Collaboration
Cross-functionally; Clarify requirements; Communicate progress; Ensure transparency
Communication Scope
Business stakeholders
Full Job Description
We are seeking a Senior Data Engineer to support core marketplace analytics data products and platform work. This role will focus on building and maintaining reliable data pipelines, Snowflake data models, dbt transformations, and observability practices that support analytics, reporting, and business decision-making. Enterprise experience strongly preferred. Key Responsibilities - Build and optimize scalable data pipelines using Python and dbt. - Design and maintain Snowflake warehouse structures, database tables, and performant data models. - Develop reliable ETL/ELT workflows for extracting, transforming, loading, and validating data from multiple sources. - Maintain data quality and consistency across analytics and reporting workflows. - Improve pipeline reliability through monitoring, data observability, troubleshooting, and proactive issue resolution. - Support reporting and dashboard needs that provide actionable insights for business stakeholders. - Collaborate cross-functionally to clarify requirements, communicate progress, and ensure transparency across initiatives. ## Qualifications Must-Have Skills - Strong SQL skills for querying, transforming, validating, and optimizing data. - Python experience for scalable data pipelines, automation scripts, and data processing workflows. - Hands-on Snowflake experience designing and maintaining warehouse structures, tables, and data models. - dbt experience developing modular transformations, tests, and documentation within modern ELT workflows. - AWS familiarity for scalable data storage, processing, and pipeline orchestration. - Experience building reliable ETL/ELT workflows across multiple data sources. - Ability to monitor pipeline health, troubleshoot workflow issues, and improve data reliability and quality. - Strong communication skills and ability to partner cross-functionally with technical and business stakeholders. Nice-to-Have Skills - Dagster or similar orchestration experience. - Experience supporting
Applying for this Senior Data Engineer role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on SmartRecruiters
- SmartRecruiters often includes a video screening step — check camera and mic permissions.
- Link your GitHub or portfolio directly in the profile section for technical roles.
- Applications may be reviewed by AI scoring before reaching a recruiter — use keywords from the job description.
ANONYMOUS · UNFILTERED
What do employees actually say about Lifted, an Upwork Company?
Real rants from real employees. Read before you apply.