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채용Johnson & Johnson

Sr. Data Engineer

Johnson & Johnson

Sr. Data Engineer

Johnson & Johnson

Alajuela, Costa Rica

·

On-site

·

Full-time

·

1w ago

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com.

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Data Analytics & Computational Sciences:

Job Sub Function:

Data Engineering

Job Category:

Scientific/Technology

All Job Posting Locations:

Alajuela, Costa Rica

Job Description:

Johnson & Johnson is hiring for a Sr. Data Engineer to join our team located in Shockwave Medical Costa Rica.

Position Overview:

This role will focus primarily on enabling self-service analytics and developing high-quality dashboards, reports, and data models in Power BI. You will partner closely with business stakeholders to translate analytical needs into robust, scalable semantic models and intuitive dashboards. This is an ideal role for someone who blends strong technical data modeling skills with design thinking, business understanding, and a passion for delivering data experiences that drive decision-making.

Essential Job Functions:

  • Design, develop, and maintain Power BI dashboards, reports, and reusable templates that deliver actionable insights to stakeholders.
  • Build Power BI semantic data models (import/direct query/aggregation tables), ensuring optimized performance and scalability.
  • Develop reusable DAX measures, calculations, and model components following best practices.
  • Implement row-level security, workspace governance, and deployment pipelines.
  • Translate business requirements into robust data model’s leveraging Snowflake tables curated by the broader Data Engineering team.
  • Collaborate with Snowflake, dbt/Coalesce, Fivetran, and Databricks teams to ensure data readiness for analytics consumption.
  • Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts.
  • Maintain documentation for reports, datasets, and analytical workflows.
  • Implement data quality checks and monitoring processes to ensure data accuracy and consistency.
  • Stay up to date on the latest trends and technologies in the modern data stack (Power BI, Snowflake, Fivetran, Coalesce, etc.).

Requirements:

  • Bachelor’s degree in systems Engineering or similar fields.
  • 5+ years of experience in data analytics, BI engineering, or analytics engineering roles.
  • Expert-level proficiency with Power BI (primary)—including DAX, data modeling, Power Query, performance optimization, workspaces, deployment pipelines, and governance
  • Strong knowledge of Snowflake, SQL, Python. Familiarity with dbt/Coalesce, Databricks, and Fivetran is a plus.
  • Experience integrating data from enterprise applications (e.g., Oracle Fusion Cloud, Salesforce, Adaptive Planning) is a plus
  • Ability to translate complex business needs into intuitive dashboards with strong data storytelling.
  • Strong analytical thinking and problem-solving abilities.
  • Familiarity with data governance, data quality, and data catalog tools.
  • Understanding of UX best practices for dashboard layout, design, and usability.
  • Ability to work independently and as part of a team.
  • Interpersonal and communication skills to collaborate effectively with business partners and cross-functional teams.
  • Strong strategic mindset with the ability to align analytics initiatives with overall business goals and proactively identify opportunities for leveraging data to drive business value

Required Skills: Preferred Skills:

Advanced Analytics, Analytical Reasoning, Business Behavior, Coaching, Database As A Service (DBaaS), Data Engineering, Data Modeling, Data Privacy Standards, Data Quality, Data Science, Data Structures, Design Thinking, Problem Solving, Project Management, Requirements Analysis, Technologically Savvy

총 조회수

0

총 지원 클릭 수

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모의 지원자 수

0

스크랩

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Johnson & Johnson 소개

Johnson & Johnson

Caring for the world, one person at a time.

10000+

직원 수

New Brunswick

본사 위치

$400B

기업 가치

리뷰

4.0

10개 리뷰

워라밸

3.5

보상

4.2

문화

4.1

커리어

3.2

경영진

4.3

75%

친구에게 추천

장점

Supportive and approachable management

Excellent benefits and compensation

Flexible work arrangements and good work-life balance

단점

High-pressure and demanding work environment

Slow bureaucratic processes

Limited growth opportunities in some areas

연봉 정보

2,250개 데이터

Junior/L3

Senior/L5

Junior/L3 · Analyst

177개 리포트

$93,472

총 연봉

기본급

$85,723

주식

-

보너스

$7,749

$59,968

$146,648

면접 경험

7개 면접

난이도

3.0

/ 5

소요 기간

14-28주

면접 과정

1

Application Review

2

HR Screen

3

Pre-recorded/Video Interview

4

Technical/Panel Interview

5

Final Interview

6

Offer

자주 나오는 질문

Behavioral/STAR

Technical Knowledge

Past Experience

Culture Fit