Data Engineer II

Job not on LinkedIn

🕒 August 14

🇺🇸 United States – Remote

💵 $95k - $118.7k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Splice

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2013

📱 Media

📚 Education

👥 B2C

Media • Education • B2C

Splice is a company dedicated to revolutionizing the music creation process by providing an essential ecosystem for artists. They offer integrated tools, a vast catalog of sounds, and skills tutorials taught by top artists and industry professionals, making music creation easier and more accessible. Splice emphasizes a flexible and inclusive work culture, with perks such as unlimited paid time off, education support, and a focus on collaboration and diversity. They strive to demystify and democratize music creation, putting the artist first in all their endeavors.

📋 Description

• Build and maintain data models in SQLMesh, including incremental strategies, testing, and documentation • Improve and evolve orchestration and transformation infrastructure • Modernize legacy pipeline jobs in Python and SQLMesh • Participate in the on-call rotation and resolve ETL, data availability, and metric incidents • Define alert thresholds, emit metrics and logs, produce dashboards, and establish escalation paths • Improve platform observability • Maintain pipelines for creator payouts and GAAP-compliant revenue reporting • Build pipeline support for new revenue streams • Improve BigQuery query performance and reduce compute costs • Contribute to ingestion platform work and product analytics infrastructure • Ensure validation, documentation, and monitoring are complete before closing tickets

🎯 Requirements

• 3+ years of hands-on data engineering experience in a production environment • Proficiency in SQL, including window functions, CTEs, query optimization, and execution plan analysis • Proficiency in Python for pipeline logic, data transformation, and testing • Experience with SQLMesh, dbt, or equivalent, including incremental models, testing, and documentation • Production experience with a cloud data warehouse, including partitioning, clustering, and cost management • Experience with Dagster, Airflow, Prefect, or equivalent workflow orchestrator • Ability to build observable, reliable data systems with alerting, dashboards, and data quality checks • Ability to own small-to-medium features from technical design through delivery with limited guidance

🏖️ Benefits

• Competitive pay with annual reviews and equity opportunities • Unlimited PTO • Comprehensive medical, dental, and vision coverage for you and your dependents • 401(k) plan with immediate vesting and company match • 12 weeks of fully paid parental leave for non-birthing parents • 18-20 weeks of fully paid parental leave for birthing parents • Work remotely or connect at office hubs and creative spaces worldwide • Annual learning budget • Leadership programs • Team ambassador opportunities • Inclusive events • Team meet-ups • Employee Resource Groups