Data Engineer

🕒 September 11

🇵🇹 Portugal – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 20%

What it means: the chance that no one is really hiring for this job.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.

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Southend Pharmacy

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2011

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

Southend Pharmacy is a 503A compound pharmacy based in Houston, TX that provides clinically-focused, customized pharmaceutical solutions and compounding services to healthcare providers and clinics. The company emphasizes clinical excellence, trust, and regulatory-quality practices, offering provider onboarding, secure patient/provider portals (LifeFile), and a real-time interactive coverage map to support nationwide clinic partnerships. Southend Pharmacy primarily serves other healthcare organizations—over 3,000 clinics to date—delivering specialized medications and operational support.

📋 Description

• Assist in designing, building, and maintaining ETL/ELT data pipelines • Support data ingestion from internal and external data sources • Help maintain and improve data warehouse structures and data models • Ensure data quality through validation, testing, and monitoring processes • Support analytics and BI use cases by preparing clean, well-documented datasets • Collaborate with senior engineers and stakeholders to understand data requirements • Contribute to documentation and continuous improvement of the data platform • Follow software engineering best practices including version control, testing, and CI/CD • Work closely with Senior Data Engineers, AI, and Product teams to support the growth and scaling of Allia Health Group’s data platform

🎯 Requirements

• BSc or MSc in Computer Science, Data Engineering, Data Science, or a related field (listed as ideal) • 4+ years of experience in data engineering, analytics engineering, or a related role, or equivalent hands-on experience • Strong SQL skills • Experience with at least one programming language (Python preferred) • Basic understanding of ETL/ELT processes and data modeling concepts • Familiarity with cloud data platforms (Google BigQuery preferred; AWS/Azure acceptable) • Ability to work collaboratively in cross-functional teams • Strong attention to detail and interest in data quality • Exposure to data orchestration or transformation tools such as dbt or Airflow (preferred) • Experience with BI or analytics tools such as Looker (preferred) • Familiarity with Google Cloud Platform and modern data stacks (preferred) • Interest in analytics, AI, or machine learning use cases (preferred)

🏖️ Benefits

• Flexibility to adjust working hours to increase overlap with US CST when needed • Inclusive work environment committed to diversity • Reasonable accommodations during the application process

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