Estenda Solutions builds custom software, data, and AI solutions for MedTech and life sciences. Systems we build for our customers support clinical research and decision making, medical devices, wearables, and health analytics. We collaborate with global enterprises, health systems, and research labs to improve patient outcomes through data.

The Role

You will test and validate a medical device data warehouse used for real world evidence and analytical workloads. The focus is data quality, data lineage, statistical correctness, and traceability of transformations within an AWS Databricks data lake environment. You will work closely with data engineers, developers, analysts, and scientific users and will serve as the primary data quality analyst for the program.

Interview Process

During the interview candidates will participate in a short analytical exercise involving a small dataset. You will ask questions, explain your reasoning, form and test hypotheses, and communicate findings.

Location

Remote. Equipment pickup required in person at locations throughout the US within the first month for identity verification.

Key Responsibilities

Investigate data anomalies and inconsistencies and determine root causes using SQL and system knowledge
Design test plans that validate correctness of data pipelines, ETL logic, and derived metrics
Develop traceability from raw ingest through transformations to final analytical outputs
Define and execute validation strategies for time series sensor data and clinical metadata
Collaborate with data analysts to verify outputs match scientific and business expectations
Document requirements, test cases, traceability matrices, defect reports, and validation evidence in an ISO13485 quality system
Communicate reasoning and findings to technical and nontechnical stakeholders
Contribute to continuous improvement in data quality standards, documentation, and processes

Analytical Traits We Value

Think out loud while solving a problem
Ask clarifying questions early instead of assuming
Form hypotheses and test them with data
Communicate reasoning clearly and concisely
Handle ambiguity and incomplete information
Enjoy solving puzzles involving data and logic

Required Experience

4-year college degree in an engineering or related field
5+ years of quality assurance experience
Strong SQL and data analysis skills
Experience validating data warehouses, data lakes, or analytical systems
Familiarity with ETL patterns, data modeling, and data lineage concepts
Strong written and verbal communication ability
Ability to work independently on complex analytical tasks
Proven ability to prioritize and deliver in multi-project environments

Preferred Experience

AWS Redshift, Databricks, or Spark
HP-ALM
Time series or device-generated health data
Real world evidence, clinical research, or regulated environments
ISO 13485, validation, or traceability documentation
Statistical reasoning or experience with analytical workflows

Life at Estenda

Headquartered in Wayne, PA, we are a remote-first company. Estenda is a diverse group of software developers, quality assurance analysts and testers, project managers, and clinical researchers working on improving the lives of our fellow humans. As an ISO13485 certified company, we pride ourselves on a job done well with a strong focus on using process to create quality products on time and on budget. In addition, we recognize life happens and strive to provide a healthy work-life balance.

Please Note: Absolutely no third party candidates or H1Bs can be considered for this position.