Associate Data QA Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $30 / hour

⏰ Full Time

🟢 Junior

🟡 Mid-level

🔧 QA Engineer (Quality Assurance)

🚫👨‍🎓 No degree required

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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

Abacus Insights

WebsiteLinkedInAll Job Openings

51 - 200 employees

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

Abacus Insights is a leader in health plan data solutions that empowers healthcare payers by providing usable and interoperable data. The company offers a comprehensive suite of data solutions designed to address complex government mandates and improve payer readiness. Abacus Insights' platform is capable of consolidating and normalizing diverse data sources into comprehensive patient records, ensuring data accuracy, and facilitating timely data updates. Their solutions support multiple use cases, including risk adjustment, clinical data exchange, cost management, and performance reporting. With a focus on technology and healthcare, Abacus Insights helps payers manage costs and improve member experiences through enhanced data management capabilities.

📋 Description

• Partner with clients and implementation teams to understand data distribution needs and expected outputs. • Perform data analysis, data mapping, and validation of client deliverables. • Build and maintain data extract scripts with guidance from senior engineers; troubleshoot and improve performance. • Join client and internal team meetings to understand requirements, context, and timelines. • Contribute to process improvements, documentation, and workflow efficiency within a collaborative engineering culture.

🎯 Requirements

• Interest in healthcare data and curiosity about how data moves through pipelines and platforms. • Ability to write SQL queries for analysis, profiling, validation, and basic performance tuning. • Analytical, problem-solving mindset and willingness to learn new tools/approaches. • Clear communication skills with both technical and non-technical stakeholders. • Strong organization skills and comfort juggling multiple tasks/priorities. • Candidates must be authorized to work in the United States at the time of hire. • Location: Pacific Time Zone preferred; candidates outside PST must be able to work core hours aligned to Pacific Time. • Exposure to cloud platforms and modern data engineering tooling (e.g., PySpark/Databricks concepts) is not required. • Familiarity with Snowflake or cloud data warehouses/services is not required. • Prior internship/project experience with large datasets, ETL/ELT, or data quality testing concepts is not required.

🏖️ Benefits

• Unlimited paid time off: recharge when you need it. • Work from anywhere: flexibility to fit your life. • Comprehensive health coverage: multiple plan options to choose from. • Equity for every employee: share in our success. • Growth-focused environment: your development matters here. • Home office setup allowance: one-time support to get you started. • Monthly cell phone allowance: stay connected with ease.