Mid-level Data Engineer

🔥 0 minutes ago

💃 Latin America – Remote

💵 $3.5k - $5k / month

⏱ Part Time

🟢 Junior

🟡 Mid-level

🚰 Data Engineer

🚫👨‍🎓 No degree required

👻 Ghost score 9%

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

Blue Orange Digital

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2015

💼 Consulting

🏥 Healthcare

📦 Logistics

💰 $700k Corporate round on 2022-05

Consulting • Healthcare • Logistics

Blue Orange Digital is a data and AI consulting firm that helps companies turn complex data into real business outcomes. It partners with organizations across industries to design and deploy scalable data infrastructure, advanced analytics, and AI-powered solutions, and operates as a fully remote, globally distributed team focused on building practical, production-ready systems.

📋 Description

• Build and maintain staging and intermediate dbt models in a medallion architecture • Implement entity resolution logic using ID and bridge tables for companies, contacts, and deals • Implement and maintain AI-powered tagging models using Snowflake Cortex • Flag data-quality issues for review • Write schema validation, row-count, nullability, and uniqueness tests for models • Maintain source-system bridges and lookup tables • Adapt models when upstream systems change • Keep source YAML documentation current, including lineage, freshness expectations, and schema notes • Monitor dbt Cloud jobs • Debug failed runs and investigate data inconsistencies, escalating when needed • Submit clean, well-documented pull requests for senior review • Work with a senior engineer who scopes the work, while progressively taking on more ownership

🎯 Requirements

• 2–4 years of data engineering experience in a production environment • Solid SQL: multi-stage CTEs, window functions, and well-optimized queries • Working knowledge of dbt: models, tests, sources, and basic macros • Experience with Snowflake or a similar cloud data warehouse (BigQuery, Redshift, Databricks) • Comfort with dimensional modeling and layered (medallion) architectures • Git and GitHub workflows: branching, pull requests, and code review • Strong written English and reliable async communication with a remote US-based team • Availability at least 20 hours per week, with at least 4 hours of overlap with US Eastern time (Mon–Thu) • Resume and all application materials must be submitted in English • Python for data validation or transformation logic (nice to have) • dbt macros and Jinja templating (nice to have) • Exposure to investment, financial, or alternative data (nice to have)

🏖️ Benefits

• Flexible part-time schedule • Fully remote • Hands-on work in a mature, production dbt and Snowflake codebase, including AI-powered models • Mentorship from senior data engineers and a clear path to more ownership • Builder culture where engineers lead and ship • Work on diverse, challenging projects across industries • Flexible Schedule • Unlimited Paid Time Off (PTO) • Paid parental/bereavement leave • Worldwide recognized clients to build skills for an excellent resume • Top-notch team to learn and grow with