Data Engineer

Being as passionate about our people as we are about our mission. We celebrate our employees in many ways, including our Circle of Awesomeness award ceremony and day of employee celebration among others! We invest in the growth and development of our team members through ongoing learning opportunities, mentorship programs, internal mobility, and meaningful leadership relationships. We also know that nothing builds trust and collaboration like having fun. We hold an annual Dodgeball for Charity event at our Q2 Stadium in Austin, inviting other local companies to play, and community organizations we support to raise money and awareness together.

Come join one of the most talented and fastest growing Data Engineering Platform teams in Q2-Helix where there is no end to the learning opportunities available to you. This is a hands-on position requiring very effective technical skills, leadership skills as well as good interpersonal and communication skills.

• Work on software development (data) projects within different disciplines which influences multiple areas of the business
• Work closely with the product manager, business analyst, and architect to develop the technical design and solutions
• Analyze, code, test, implement, and update existing or new data engineering solutions
• Collaborate with other team members and provide the tangible end-product
• Work collectively with the product owner, program leadership, and others and support them in resolving hitching issues
• Plan your development tasks accordingly to improve and grow your performance bar considerably
• coordinate activities of team personnel
• Work with teams to implement a modern data platform engineering deliverables aligned to our customer needs
• Develop/design data models, data flows, and integration patterns for the data systems, like data warehouse, databases, data lake, and usage data layers.
• Collaborate with fellow data engineers and other architects in building and developing conceptual, logical, and physical models

• Bachelor s degree in (relevant degree) and a minimum of 2 years of related experience; or an advanced degree without experience; or equivalent work experience.
• Experience in development of data warehousing, or Lake House Architecture or relevant experience ( Snowflake, Microsoft SQL Server )
• Experience with JIRA
• Design scalable solution strategies to support batch, near real time and streaming data integration with new and existing tools/technologies architecture
• Understand the role of data, domain, and ontology modelling in the building of scalable end-user facing applications.
• Technical proficiency with standards-based data engineering tools
• Deep understanding of Microsoft Azure cloud and its data platforms offerings
• Have a passion for learning new technologies in space.
• Experience working with data warehouses solutions such as DW, or Snowflake and understanding of data architecture design
• Experience with ETL / ELT relevant tools like Azure Data Factory, DBT,
• Experience with Airflow scheduler
• Experience in Python, and equivalent modeling language

This position requires fluent written and oral communication in English.

Health Wellness

• Hybrid Remote Work Opportunities

• Flexible Time Off

• Career Development Mentoring Programs

• Generous Retirement Benefit Plans, including a company-matching HSA program.

• Health Wellness Benefits, including a 12-weeks of parental leave for eligible new parents

• Community Volunteering Company Philanthropy Programs

• Employee Peer Recognition Programs - You Earned it