Analytics Engineer - Senior

Blip

United States

Hybrid

USD 90,000 - 130,000

Full time

3 days ago

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Benefits offered by this job

Flexible schedule

Birthday day off

Blip Recharge (5 days paid leave per‑y

Meal vouchers

Gym/Wellhub access

Health and dental insurance

Life insurance

Parental leave

Childcare allowance

Educational incentives

Job summary

Blip is seeking a data analytics engineer to build scalable data pipelines and develop PySpark routines for processing large data volumes. You will model analytic views and dashboards in Power BI, aligning with business needs and governance standards.

You will collaborate with multidisciplinary teams, apply basic statistics for validation, and explore AI tools to boost productivity while writing clear technical documentation in English.

Qualifications

Proven PySpark development experience with large datasets.
Strong ability to model analytic views and dashboards in Power BI.
Experience building, maintaining, and orchestrating data pipelines.
Familiarity with version control in a team environment.
Experience collaborating with multidisciplinary teams.
Knowledge of basic statistics for sampling and validation.
Practical use of AI tools to boost productivity.
Strong technical reading and writing in English.

Responsibilities

Build and orchestrate scalable data pipelines for reliable information flow.
Develop PySpark routines to process large data volumes efficiently.
Model databases applying business rules to consolidate single sources of truth.
Create and evolve dashboards and semantic models in Power BI.
Implement quality tests and governance to ensure data integrity.

Skills

PySpark development

Statistical knowledge

English reading/writing

Tools

Power BI

Git / version control

GCP

Job description

Responsibilities

Build and orchestrate scalable data pipelines to ensure continuous and reliable information flow
Develop PySpark routines to process large volumes of data efficiently
Model databases applying business rules to consolidate single sources of truth
Create and evolve dashboards and semantic models in Power BI integrated with business needs
Implement quality tests and governance to ensure database integrity
Version code, scripts, and dashboards in repositories following collaborative best practices
Apply basic statistics for result validation and structured base preparation
Articulate with analytical teams to translate technical needs into actionable solutions

Requirements