Sr. Data Engineer
We couldn't confirm this posting on Johnson & Johnson's site in our latest checks -- see current similar openings below.
About this opportunity
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
We are searching for a talented and enthusiastic Modern Data Stack Data Engineer to join our growing team. You will be responsible for designing, building, and maintaining data pipelines using technologies like Fivetran, Databricks & Python into our Snowflake data warehouse and transforming the data using tools like dbt and Coalesce. You will also be responsible for ensuring data quality, security, and performance of the data pipelines.
Essential Job Functions
Design, build, and launch sophisticated data models in snowflake that support multiple use cases across different products or domains.
Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts.
Document data pipelines and processes for maintainability and knowledge sharing.
Solve our most challenging data integration problems, utilizing Fivetran, Python, DBT/Coalesce frameworks & query techniques, sourcing from structured and unstructured data sources.
Primary sources include Oracle Fusion Cloud, Salesforce, Adaptive Planning among many other structured and unstructured data sources
Implement data quality checks and monitoring processes to ensure data accuracy and consistency.
Monitor and optimize data pipeline performance for efficiency and scalability.
Troubleshoot and resolve data pipeline issues to ensure data availability.
Create dashboards and advanced visualizations in Power BI.
Implement data observability tools like Monte Carlo.
Stay up to date on the latest trends and technologies in the modern data stack (Snowflake, Fivetran, Coalesce, etc.).
Requirements
5+ years of experience as a Data Engineer or similar role.
Bachelor’s degree required.
Proven experience with designing and building data pipelines.
Strong knowledge of Snowflake, SQL, Python and Snowflake
Advanced experience with data modeling and data transformation techniques.
Excellent problem-solving and analytical skills.
Proficiency in extracting and loading data from the following two source applications - Oracle Fusion Cloud (Finance, Supply Chain, Manufacturing), Salesforce a huge plus
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
Job details
How this role compares
Computed from every other active Data & Digital role in our database, not just this employer's listings.
We currently track 234 comparable Senior Data & Digital roles across 44 biopharma companies.
Salary context
82 of 234 peers report a salary range (USD, annualized)
Peers share this role's job function and a matching or adjacent seniority level -- not necessarily the same therapeutic area or country.
Where these roles are based
Top locations among the 234 comparable roles
+ 19 more countries
Seniority mix
234 of 234 peers have a known seniority level
Therapeutic area mix
7 of 234 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
Currently open similar roles
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How we calculate "similar"
No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.
Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.