Associate Data Scientist - Data Engineering

Associate Data Scientist (Data Engineering)

Career Category

Information Systems

Job Description

Level: Associate (L3)

Role: Data Engineering Associate – MSO Ops

MIO OVERVIEW

The Marketing Science Operations (MSO) vertical at Amgen is the operational backbone that ensures accurate, timely, governed, and analytics ready marketing data across all digital channels. MSO enables the MIO (Marketing Investment & Optimization), and broader Decision Sciences teams to run self-service analytics, generate insights, and execute campaigns reliably.

MSO focuses on data readiness, governance, pipeline operations, vendor accountability, and automation with the goal of delivering clean, standardized, and insight-ready datasets.

Role Summary

The Associate – Data Engineering role is an entry‑level engineering position within the Marketing Science Operations (MSO) Data Engineering team. This role is ideal for candidates who are excited to build foundations in data pipelines, data quality, and scalable data products that power analytics and reporting.

The team will provide structured learning and on‑the‑job exposure. What matters most is curiosity, critical thinking, and a strong learning mindset.

LIVE | WHAT YOU WILL DO

As an MSO Data Engineering Associate, you will work under the guidance of Senior Associates and Managers to support data ingestion, transformation, and operational reliability.

You will: 

• Support building and maintaining data ingestion and transformation workflows (ETL/ELT) for marketing and media datasets
• Assist with implementing data validations and QA checks (schema checks, null checks, duplication checks, count reconciliation) to ensure datasets are reliable and analytics‑ready
• Help monitor pipeline runs and refresh schedules, investigate failures using logs, and escalate issues with clear context and evidence
• Support development of reusable, governed datasets / data products that are consistent and easy for BI and analytics teams to consume
• Contribute to documentation (data flow notes, runbooks, assumptions, source mapping) to improve operational stability and handoffs
• Collaborate with cross‑functional partners (MSO BI, MSO Ops, Analytics teams, Vendors) to ensure inputs and outputs are aligned and dependable
• Participate in continuous learning and improvement to strengthen engineering fundamentals, reliability practices, and delivery discipline
• Analyze and understand the functional & non-functional requirements for Investment and Media Analytics function, and translate them into prototype, technical specifications.

BASIC QUALIFICATIONS

• Bachelor’s (3 to 6 Yrs) or Master’s (2 to 4 Yrs) degree in Computer Science, Engineering, Information Systems, Data Science, or a related quantitative/technical field
• Experience in data engineering, software engineering, analytics engineering, or data/tech role
• Familiarity with data concepts (tables, schemas, joins, basic transformations)
• Proficiency in SQL and data analysis and structured data
• Strong problem‑solving and analytical reasoning skills
• Effective written and verbal communication skills
• Strong learning mindset and willingness to work with new tools, datasets, and business contexts

Preferred Qualifications

• Exposure to Python programming for automation
• Exposure to cloud/data tools such as Databricks, Spark/PySpark, Azure/AWS, ADF/Airflow
• Experience with ETL/ELT pipelines, batch processing, or orchestration concepts
• Familiarity with data quality checks, profiling, data governance, logging, monitoring, or incident triage practices
• Exposure to DevSecOps practice

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Experience Level

Mid Level