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Senior Analytics Engineer
Job in
Newton Center, Middlesex County, Massachusetts, 02459, USA
Listed on 2026-02-22
Listing for:
Sittercity
Full Time
position Listed on 2026-02-22
Job specializations:
-
IT/Tech
Data Engineer, Data Analyst
Job Description & How to Apply Below
Company
Choice Sitter Solutions LLC d/b/a Sittercity
2 Wells Ave, Newton, MA 02459
Senior Analytics Engineer
Location & SalarySalary: $116,000 - $125,000
Responsibilities- Design, develop, and maintain scalable ELT pipelines using Fivetran, Airflow, and custom integrations.
- Model raw data into clean, reliable datasets in the cloud data warehouse (Big Query).
- Build and maintain LookML and data pipeline models that transform raw data into usable datasets for reporting and analysis.
- Own and improve the semantic layer and data documentation for self-service tools, creating a single source of truth for metrics and dimensions used across the company.
- Own the instrumentation and tracking plan across digital products using Segment.
- Work closely with product and engineering teams to ensure data integrity.
- Collaborate with engineers and business stakeholders to define clean data definitions and business logic.
- Partner with stakeholders to understand data needs and translate business questions into scalable data solutions, including presentations, well-designed data visualizations, and interactive dashboards.
- Monitor data pipelines for performance and accuracy and proactively resolve data issues.
- Bachelor’s degree in Data Science, Engineering, or a related field plus three years of experience in Analytics Engineering.
- Experience must include three years each of the following:
- Owning business intelligence tooling end-to-end and leading cross-functional data projects.
- Defining and enforcing KPI frameworks.
- Working with SQL and data modeling in modern cloud data warehouses such as Big Query.
- Looker (LookML), including semantic modeling, persistent derived tables (PDTs), and advanced dashboarding.
- Performing data pipeline orchestration using Airflow or similar DAG manager.
- Python for data analysis, scripting, and automation, including pandas and Num Py.
- Version control tools such as Git for deployment workflows.
- Agile methodologies for project management and prioritization.
- Managing event tracking through a Customer Data Platform such as Segment.
Position Requirements
10+ Years
work experience
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