
Senior Analytics Engineer
TaxAct
full-time
Posted on:
Location Type: Remote
Location: United States
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Job Level
About the role
- Collaborate with data engineering, analytics, product, and marketing teams to design and implement reliable, scalable data models and transformation pipelines.
- Develop and maintain dbt models, macros, and documentation that ensure data accuracy, reusability, and clarity across the organization.
- Partner with business stakeholders to translate analytical needs into well-structured datasets that support reporting and self-service analytics.
- Support and uphold best practices for data modeling, testing, version control, and documentation across analytics workflows.
- Proactively identify and address issues in data quality, model performance, and pipeline efficiency.
- Contribute to the standardization of metrics, definitions, and semantic layers to ensure consistent reporting across business units.
- Participate in code reviews and knowledge-sharing to continuously improve team processes and data craftsmanship.
- Stay current with modern data tools, frameworks, and best practices to help evolve our analytics engineering stack.
Requirements
- 5+ years of experience in analytics engineering, data modeling, or business intelligence roles.
- Strong proficiency in SQL and experience with cloud-based data platforms (e.g., Snowflake).
- Hands-on experience with dbt (modular SQL, testing, documentation, Jinja).
- Familiarity with data ingestion tools (e.g., Fivetran) and version control systems (e.g., Git).
- Strong understanding of data governance, testing, and lineage principles.
- Ability to communicate data concepts effectively to both technical and non-technical audiences.
- Attention to detail, curiosity, and a proactive approach to problem-solving.
- Comprehension of data contract and semantic layer design concepts.
Benefits
- Professional development opportunities
- Supportive, open, and inclusive atmosphere
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SQLdbtdata modelingbusiness intelligencedata governancedata lineagedata transformationdata qualitydata ingestionsemantic layer design
Soft Skills
communicationattention to detailcuriosityproblem-solvingcollaborationproactive approach