What You'll Do The Global Analytics and Insights (GAI) team is looking for a Senior Data Engineer to design, build, and own the analytics engineering infrastructure supporting Avalara's most critical financial, sales, and marketing data. You will deliver accurate and trusted data through scalable systems and engineering standards. The Senior Data Engineer operates independently on complex projects. You will report to Senior Manager, Data Platform. ***This role is not eligible for sponsorship** #LI-Remote What Your Responsibilities Will Be - Build and support audit-ready data pipelines for revenue reporting, financial accounting, and executive-level decision-making - Build, operate, and improve production-grade data pipelines using SQL, dbt, Snowflake, Fivetran, Python, and orchestration tools - Develop modular, well-tested dbt models that serve as core building blocks for analytics, reporting, and downstream data products - Manage data transformations and orchestration logic, ensuring accuracy, consistency, freshness, and auditability across environments - Lead projects independently by gathering requirements, defining scope, writing detailed Jira tickets and documenting progress diligently, and delivering data engineering solutions - Review code, data models, and pull/merge requests from other engineers, providing clear feedback and strengthening engineering best practices - Partner with analysts, managers, and partners to translate ambiguous requirements into scalable technical solutions - Be a domain expert in financial and revenue data, with a focus on correctness, controls, audit-readiness (i.e. validation and data governance efforts) and long-term sustainability What You'll Need to be Successful - 5 to 7+ years of experience in data engineering, with proficiency in SQL - 4+ years of experience using Git in a collaborative repository environment - 3+ years of hands-on experience building and maintaining analytics-engineering pipelines in dbt or equivalent (e.g., Dataform) with version control, data quality testing, and dimensional modeling best practices - Provide complex data solutions independently from design through production - Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience - Experience working in FinTech or SaaS environments with revenue, billing, or financial reporting data - Experience engineering and modeling sensitive financial data with controls and compliance requirements - Knowledge of dbt and Snowflake best practices; dbt or Snowflake certification (or equivalent certifications in comparable tech stacks) - Demonstrated ownership of projects end to end, from requirements gathering through delivery and post-release validation - Experience writing clear, applicable Jira tickets and breaking down complex work into deliverable milestones and providing frequent updates on those tickets through comments - Experience reviewing code and data models and helping raise quality and consistency across the team - Familiarity with AWS services (or cloud equivalent) commonly used in modern data platforms - Experience with Infrastructure as Code in Terraform - Understanding of CI/CD pipelines and DevOps practices for data workflows Avalara is an AI-first Company AI is embedded in our workflows, decision-making, and products. Success here requires embracing AI as an essential capability. - You’ll bring experience using AI and AI-related technologies, ready to thrive here. - You’ll apply AI every day to business challenges - improving efficiency, contributing solutions, and driving results for your team, our company, and our customers. - You’ll grow with AI by staying curious about new trends and best practices, and by sharing what you learn so others can benefit too. How We'll Take Care of You Total Rewards In addition to a great compensation package, paid time off, and paid parental leave, many Avalara employees are eligible for bonuses. Health & Wellness Benefits vary by location but generally include private medical, life, and disability insurance. Inclusive culture and diversity Avalara strongly supports diversity, equity, and inclusion, and is committed to integrating them into our business practices and our organizational culture. We also have a total of 8 employee-run resource groups, each with senior leadership and exec sponsorship. What You Need To Know About Avalara We’re defining the relationship between tax and tech. We’ve already built an industry-leading cloud compliance platform, processing over 54 billion customer API calls and over 6.6 million tax returns a year. Our growth is real - we're a billion dollar business - and we’re not slowing down until we’ve achieved our mission - to be part of every transaction in the world. We’re bright, innovative, and disruptive, like the orange we love to wear. It captures our quirky spirit and optimistic mindset. It shows off the culture we’ve designed, that empowers our people to win. We’ve been different from day one. Join us, and your career will be too. We’re An Equal Opportunity Employer Supporting diversity and inclusion is a cornerstone of our company — we don’t want people to fit into our culture, but to enrich it. All qualified candidates will receive consideration for employment without regard to race, color, creed, religion, age, gender, national orientation, disability, sexual orientation, US Veteran status, or any other factor protected by law. If you require any reasonable adjustments during the recruitment process, please let us know.

• Translate business requirements into specifications that will be used to implement the required reports and dashboards • Work with business units to gather requirements, development and delivery of business intelligence & reporting services and lead end to end Data delivery • Develops and implements business intelligence & analytics to support organizational initiatives • Build rich and dynamic dashboards using out-of-box features, customizations, and visualizations • Design and publish custom dashboards for business functions, stakeholders, and corporate users around the company • Design, model, develop & optimize stored procedures to meet data management and data reporting objectives • Design and model data flows and ETL procedures ensuring data quality and integrity • Troubleshoot and resolve issues with the processes used and the content produced by the BI platform • Provide ongoing maintenance support through troubleshooting, report modifications and optimization

• Design and develop an ingestion process for big data processing • Translate business requirements into specifications for the data ingestion process • Understand and deliver data solutions leading to end-to-end delivery • Develop and implement data pipelines to support organizational initiatives • Build and maintain ETL (Extract, Transform, Load) or ELT (Extract, Load, Transform) pipelines to move data from various sources • Ensure data accuracy, consistency, and compliance with policies and regulations • Collaborate with data scientists, analysts, and other stakeholders to meet data needs • Optimize data systems for efficiency, scalability, and performance • Create functional and technical design documents and maintain documentation for data processes

This is a full time, remote Summer Internship that can be based anywhere in the United States or Canada. We are looking for a Software Engineering Intern to join our Products organization for the Summer. In this role, you will be part of a unique and award-winning internship program within the company. The program provides the opportunity to learn new skills through training and on the job learning. The duration of the program is expected to be 90 days. The intern will join the software engineering and analytics team to design, develop, and optimize cloud based workflows and data processing applications. The role involves working with technologies such as Python, AWS, and Elasticsearch to create reliable and scalable solutions that support analytics and system monitoring. Success in this position means writing clean, efficient code, learning modern engineering practices, and collaborating closely with experienced team members. This internship offers exposure to real-world production systems, mentorship opportunities, and hands-on experience at the intersection of software engineering, data analytics, and emerging AI frameworks. Responsibilities and Duties: - Develop and maintain Python-based applications and automation workflows. - Build and enhance software pipelines that collect, process, and organize data from multiple sources. - Support and deploy solutions using cloud services such as AWS Lambda, InfluxDB, or equivalent GCP tools. - Analyze structured and unstructured data, including timeseries and network telemetry data, to identify key patterns. - Contribute to creating and maintaining analytics components using Elasticsearch and Kibana or equivalent. - Collaborate with engineers using Git, CI/CD workflows. - Document technical processes, write reusable code, and implement best practices for system reliability. - Explore new technologies such as agentic AI frameworks (e.g., LangGraph) and LLM-based automation solutions. ​ Qualifications: - Currently enrolled in a college degree program in Computer Science, Computer Engineering, Software Engineering, or a related field. - Proficiency in Python for backend development, scripting, or automation. - Understanding of data pipeline and integration concepts — collecting, transforming, and preparing data for analytics. - Exposure to AWS cloud services (Lambda, InfluxDB) or corresponding GCP components. - Familiarity with version control systems such as Git. - Experience with analytics or data‑driven projects through coursework, internships, or research. - Strong foundation in data structures, algorithms, and API design. - Excellent problem-solving skills, attention to detail, and ability to work collaboratively. - Preferred: Knowledge of the Elasticsearch Stack (Elasticsearch, Kibana, Beats, Logstash) or equivalent. - Preferred: Exposure to agentic or autonomous system development and machine learning workflows. - Knowledge of timeseries data or network telemetry data is a plus. - Able to work for the complete summer break (May - August or June - September). #LI-Remote The base pay range for this position varies based on the geographic location. More information about the pay range specific to candidate location and other factors will be shared during the recruitment process. Individual pay is determined based on location of residence and multiple factors, including job-related knowledge, skills and experience. San Francisco Bay Area: 27.60 - 34.50 USD HourlyAll Other US Locations: 24.00 - 30.00 USD Hourly For information on our benefits click here.