Sr. Data Quality Engineer

As a key member of AbleTo's data engineering team, you will be responsible for driving quality automation throughout the software development life cycle (SDLC) and working as a peer engineer within the Lean-Agile product engineering group. You will collaborate with remote engineers, designers, and product managers to ensure the highest quality of the systems managing member care journeys. The role requires a commitment to agile value delivery, solid engineering principles, and continuous improvement. If you are passionate about delivering impactful software for mental and behavioral health, this opportunity is for you.

• Work as part of a fast-paced and highly motivated Agile team to help design, build, and test new features.
• Participate in sprint planning, backlog grooming, daily stand-ups, and retrospectives during a 2-week sprint cadence.
• Work closely with product managers and data engineers to identify test cases and devise efficient and repeatable testing processes.
• Review other team members' work and hold them accountable for high-quality software.
• Coach, mentor, and develop team members.
• Perform ETL testing and verify data correctness and completeness against requirement specifications.
• Define test automation strategy, lead the implementation and execution of automated test cases, and analyze test outputs.
• Catalog software defects and collaborate with peer engineers to ensure resolution and thorough retesting.
• Work with Data Engineering management to identify and implement process improvements for increased productivity and efficiency.
• Have a Bachelor's degree in Computer Science or equivalent practical experience.
• Have 10+ years of experience in ETL/Data Integration Testing.
• Possess advanced to expert SQL skills for investigating data quality issues.
• Have demonstrated experience with ETL tools, preferably Informatica.
• Have knowledge of working with Big Data on a Cloud Platform, preferably GCP.
• Have knowledge of data quality and data management concepts.
• Have knowledge of at least one scripting language, such as bash.
• Have basic knowledge of Python.
• Be able to read and understand ETL mapping transformations and convert them into meaningful tests.
• Have experience using version control systems like Git and understanding of Data Pipelines and workflow management tools like Airflow and Luigi.
• Have experience testing reports and dashboards on visualization applications like Looker and Tableau.
• Have extensive experience setting up, running, and maintaining scripted automation frameworks for data teams.
• Have experience working with Unix/Linux operating systems.
• Have demonstrated knowledge of test methodologies, test design, and extensive QA workflow experience.
• Be adaptable to new tools and technologies.
• Have excellent verbal and written communication skills.

• Bachelor's degree in Computer Science or equivalent practical experience
• 10+ years experience in ETL/Data Integration Testing (e.g., Data Warehouse, Data Lake)
• Advanced to Expert SQL skills (inc. data profiling) to investigate data quality issues
• Demonstrated experience of ETL tools (e.g., Informatica preferred)
• Knowledge of working with Big Data on a Cloud Platform (GCP preferred)
• Knowledge of data quality and data management concepts
• Knowledge of at least one scripting language (e.g., bash)
• Basic knowledge of Python
• Ability to read/understand ETL mapping transformations and convert them into meaningful tests
• Experience using version control systems such as Git and an understanding of Data Pipelines and workflow management tools (e.g., Airflow, Luigi)
• Experience testing reports and dashboards on visualization applications (e.g., Looker, Tableau)
• Extensive experience setting up, running and maintaining scripted automation frameworks for data teams
• Experience working with Unix/Linux operating systems
• Demonstrated knowledge of test methodologies, test design, and extensive QA workflow experience
• Proven adaptability to new tools and technologies
• Excellent verbal and written communication skills

• Great Place to Work-Certified™ company
• Respect for work/life balance
• Competitive salaries
• Professional perks such as 401K matching
• Generous time off
• Comprehensive health benefits (for full-time employees)
• Access to Mental Health programs and weekly meditation sessions
• Empowering people to get better and stay better
• Comprehensive benefits package
• Incentive and recognition programs
• 401k contribution (subject to eligibility requirements)
• Equal opportunity employer