Data Analyst, Engineer

🕒 August 4

🇺🇸 United States – Remote

💵 $150k - $180k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 14%

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

PurpleLab

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2015

🏥 Healthcare

💊 Pharmaceuticals

☁️ SaaS

💰 $12.7M Series A - Purple Labs on 2007-09

Healthcare • Pharmaceuticals • SaaS

PurpleLab is a real-world data and analytics company that provides validated, standardized healthcare datasets and a multimodal analytics platform (HealthNexus®) to help life sciences, payers, providers, agencies/media, and financial clients turn real-world data into actionable insights. Their offering centers on large-scale claims, provider, eligibility, remittance, EHR, and mortality datasets (billed as 16B+ annual claims) and supports real‑world evidence, campaign measurement, network intelligence, and operational analytics. PurpleLab positions itself as a flexible partner offering data access, pre-built analytics, and full-service consulting to accelerate drug development, advertising measurement, payer/provider network optimization, and other healthcare analytics use cases.

📋 Description

• Design, develop, and maintain robust ETL processes for data ingestion and transformation into the Data Warehouse • Utilize Airflow or similar workflow orchestration tools to manage data pipelines, including custom operators, sensors, and hooks • Implement data quality checks and validation processes using tools such as Spark and SQL • Analyze data for trends and patterns to identify and resolve data quality issues • Partner with data science, business intelligence, and other cross-functional teams to ensure data accuracy, consistency, and security • Support the design, development, testing, and implementation of cost-effective data assimilation and reporting strategies • Champion data governance best practices and stay current on emerging data technologies and trends • Develop and implement data integration and consolidation techniques • Document and conduct ad-hoc analyses supporting business needs, sales efforts, and proposed solutions • Collaborate on projects assigned by senior leadership • Perform other duties assigned to support business needs and company objectives

🎯 Requirements

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field required • 3+ years of experience in data engineering, ETL development, or a related role • Preferably experience in healthcare or life sciences • Proficiency in SQL, Python, and Spark • Experience working in an Agile environment, specifically scrum • Experience with workflow orchestration tools such as Apache Airflow • Strong knowledge of ETL processes, data pipelines, and cloud-based data solutions (AWS, GCP, or Azure) • Familiarity with data modeling, database design, and data warehousing concepts • Understanding of data quality frameworks, governance best practices, and data security principles • Strong problem-solving skills with the ability to analyze complex data sets and identify trends • Ability to collaborate with cross-functional teams, including data science, business intelligence, and leadership • Excellent communication and documentation skills to support technical and non-technical stakeholders

🏖️ Benefits

• Equal opportunity employer • Reasonable accommodations during the application, interview, or employment process