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Envision

Data Test Engineer

Remote·Fully Remote·5d ago

Salary

Competitive salary

Work type

Remote

Level

mid

Category

Data Engineering

About the role

Drive Data Quality with Automation: Join us as a Data Test Engineer and shape reliable, AI-powered data pipelines.

Work shouldn't just be something we do; it should have a purpose. At Envision, we believe in creating life-changing outcomes through the work we do with our clients, giving back to our communities, while creating a company culture where our people thrive. We believe success starts with a workplace where everyone feels valued, supported, and empowered to grow.

Being part of a collaborative team means there's no limit to what you can achieve. With us, you can be a part of a growing company you want to work for.

Our Vision: To unleash the power of combined intelligence to accelerate patient access to life-changing treatments.

Our Mission: Delivering smarter and faster solutions to create, communicate, and commercialize value for our clients.

Our Values: Excellence, People, Growth

The opportunity

We are seeking a Data Test Engineer with strong expertise in test automation, data testing, and to support Agile sprint teams. This individual will drive in-sprint automation for backend components and data pipelines, build scalable automated regression suites, and ensure consistent quality and performance across data-driven systems.

The ideal candidate is a self-starter who thrives in fast-paced Agile environments, proactively identifies test coverage gaps, and works collaboratively with developers, QA, product owners, and Data teams to deliver high-quality releases.

You will collaborate to ensure quality is embedded into every stage of the development lifecycle, drive shift-left practices, enable AI for productive gains with a constant focus on increasing test automation ROI (return on investment).

How will you make an impact at Envision Pharma Group?

Role responsibilities

Collaborate closely with developers, data engineers, and product owners in Agile ceremonies (daily stand-ups, planning, retrospectives).
Design and automate end-to-end data validation tests across SQL warehouses, Snowflake datasets, Fivetran pipelines, and downstream reporting layers.
Build automated data quality checks to validate schema changes, data drift, null propagation, duplicate records, and field-level integrity across ingestion and transformation layers.
Develop Python-based automation test suites to validate transformation logic, stored procedures, DBT models, incremental loads, snapshot tables, and business KPIs.
Conduct data reconciliation testing between source and target to ensure accuracy, completeness, timeliness and lineage consistency.
Implement automated SQL validations to confirm record counts, joins, aggregations, lookups, referential integrity, and data dependency checks across staging, core and analytics layers.
Ensure Power BI dashboards reflect correct business logic by validating measures, DAX calculations, joins, filters, rollups, and KPI alignment with backend data sources.
Establish automation coverage for data freshness SLAs, load completion alerts, anomaly detection, and volume variance checks throughout daily and scheduled runs.
Develop and maintain test automation suites in Python for backend, data and Regression testing efforts.
Drive adoption of AI into automation frameworks, coding, test management.
Establish metrics / dashboards to track test coverage, execution and quality trends.
Do you have what we are looking for?

Skills & expertise

Bachelor's degree in Computer Science / Engineering or equivalent is preferred with a minimum of 2 years of hands-on experience with coding for test automation in an agile environment.
Hands-on coding experience in Python, SQL, automation framework design and development.
Hands-on development experience in Power BI
Experience with SQL and Snowflake Databases.
Innovative mindset to enable AI using tools like Co-pilot, Jira AI agents, Cursor, etc., in test automation efforts and testing activities.

Tech stack

PythonPower BISQLSnowflakeFivetran