Associate Data Engineer
About this opportunity
Career Category
Engineering
Job Description
We are seeking a skilled Reltio MDM Developer with 3-5 years of experience in Master Data Management (MDM) to design, develop, and implement scalable MDM solutions on the Reltio platform. The ideal candidate will have strong expertise in Reltio configuration, Lifecycle Actions (LCA), RIH, Python-based development, and API integrations, along with domain experience in Pharma/Life Sciences
Roles & Responsibilities:
Design and implement Reltio MDM solutions, including data models, entities, relationships, and hierarchies
Configure and develop Lifecycle Actions (LCA) for event-driven data processing and business workflows
Develop Python based custom logic/services to support Reltio integrations and extensions
Implement and manage match/merge rules and survivorship strategies for golden record creation
Build and maintain real-time and batch integrations using REST APIs, messaging, and file-based approaches
Work with RIH(Reltio Integration Hub) and Databricks with Python script frameworks for data ingestion and data publishing.
Configure and manage crosswalks, reference data, and group attributes
Develop and enforce data quality rules, validation, and enrichment processes
Collaborate with data engineering, analytics, and business teams for seamless data consumption
Support data governance and stewardship workflows, including DCR lifecycle
Ensure data lineage, traceability, and compliance across MDM processes
Troubleshoot and optimize performance of Reltio implementations
Data published multiple downstream systems, need to coordinate with consuming systems for any issue.
Functional Skills:
Must-Have Skills:
Strong hands-on experience with Reltio MDM platform
Deep expertise in Lifecycle Actions (LCA) development and event handling in Reltio
Strong programming skills in Python (for custom logic, APIs, and integrations)
Proficiency in SQL & PySpark (advanced querying, data validation, performance tuning)
Good experience in Python for data processing and automation
Good experience in JASON scripting for L3 changes.
Strong experience in API integrations (REST/SOAP) and microservices architecture
Expertise in: Match/Merge and survivorship rules
Data modeling (entities, relationships, hierarchies)
Crosswalks, reference data, and golden record concepts
Experience with batch and real-time data integration patterns
Hands-on experience with Unix/Linux environments
Strong domain experience in Pharma/Life Sciences, including: HCP/HCO mastering
Affiliations
Product Master / Material Master
Strong hands-on experience in Databricks, performance tuning , SQL tuning
Strong hands-on experience in Airflow and Gitlab
Good-to-Have Skills:
Experience with PySpark, Databricks, Databricks workflow and large-scale data processing
Experience with AWS cloud services (S3, Lambda, Glue, etc.)
Experience with PostgreSQL or similar databases
Exposure to GenAI / MCP/AI-driven data use cases
Experience with Reltio Integration Hub (RIH)
Familiarity with Agile tools (JIRA, Confluence)
Education and Professional Certifications
Master's / Bachelor’s degree in computer science and engineering preferred, other Engineering field is considered with 3 - 5 years' experience
AWS Certified Data Engineer preferred
Databricks Certificate preferred
Reltio MDM Certification
Data Engineering / SQL Certifications
Soft Skills
Strong analytical and problem-solving skills
Excellent communication with technical and business stakeholders
Ability to work in global, cross-functional teams
Strong ownership and accountability
Preferred Experience
Experience in end-to-end Reltio MDM implementations & Operations
Experience in regulated Pharma/Life Sciences environments
Exposure to large-scale MDM transformations
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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 38 comparable Associate Data & Digital roles across 16 biopharma companies.
Salary context
13 of 38 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 38 comparable roles
+ 1 more countries
Seniority mix
38 of 38 peers have a known seniority level
Therapeutic area mix
0 of 38 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
No peers with a known therapeutic area yet.
Similar opportunities
The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.
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.