Lead Data Engineer

Reposted 13 Days Ago
Be an Early Applicant
2 Locations
In-Office
Senior level
Biotech
Our Mission is to enable our customers to make the world healthier, cleaner and safer.
The Role
Lead Data Engineer to design, build, and maintain scalable ETL pipelines and cloud data platforms, optimize data models/warehouses, ensure data quality and governance, and collaborate with analytics and business teams.
Summary Generated by Built In

Work Schedule

Other

Environmental Conditions

Office

Job Description

Summarized Purpose:

We are seeking a Lead Data Engineer to own the complete lifecycle of enterprise data pipelines from development to production, including roadmap planning, scalable ETL architecture, AWS data services, secure PHI/PII handling, healthcare data standards, AI-assisted mapping automation, data quality, transformation, catalog standards, and RAG-enabled data solutions.

Education/Experience:

  • Bachelor's degree or equivalent in Computer Science, Information Technology, Data Engineering, or related field
  • 7+ years of experience in data engineering, ETL development, cloud data platforms, healthcare or regulated data environments, and production data pipeline delivery

Major Job Responsibilities:

  • Design, develop, deploy, and operate scalable ETL and data pipelines using PySpark, Python, advanced SQL, and AWS data services
  • Own data pipeline lifecycle from requirements, mapping, development, testing, deployment, monitoring, production support, release management, and future roadmap planning
  • Build ingestion and transformation pipelines for flat files, relational databases, APIs, data warehouses, healthcare data sources, and enterprise data platforms
  • Implement mapping automation, preferably using AI, along with LLM-assisted data cleaning, transformation, data quality checks, and RAG use cases
  • Implement secure handling of PHI/PII data including encryption, access controls, auditability, retention, masking, de-identification, governance, and operational readiness

Knowledge, Skills, and Abilities:

  • Advanced expertise in PySpark, Python, advanced SQL, ETL best practices, data modeling, and large-scale data processing
  • Strong hands-on experience with AWS services including S3, Glue, Lambda, Step Functions, ECS, DynamoDB, Redshift, RDS/PostgreSQL, and related data services
  • Experience with PostgreSQL, SQL Server, Redshift, flat files, complex source-to-target mappings, HL7, claims data, EMR extracts, and clinical trial data
  • Knowledge of data cataloging, metadata management, transformation standards, orchestration, monitoring, data quality, CI/CD, automated testing, and production support practices
  • Ability to lead technical design, mentor engineers, guide delivery decisions, troubleshoot complex issues, and communicate with cross-functional teams

Must Have Skills:

  • Advanced PySpark, Python, advanced SQL, ETL design, and data pipeline engineering expertise
  • AWS data services experience including S3, Glue, Lambda, Step Functions, ECS, DynamoDB, Redshift, PostgreSQL, and SQL Server integration
  • Secure PHI/PII handling, flat-file ingestion, source-to-target mapping, transformation, data catalog, governance, and healthcare data standards experience
  • CI/CD, GitHub workflows, automated testing, release management for data pipelines and database changes, and dev-to-prod pipeline ownership

Good to Have Skills:

  • AI-assisted mapping automation and use of LLMs for data cleaning, data quality checks, transformation logic, documentation, and patient de-identification support
  • Experience with RAG patterns, embeddings, vector databases, semantic search, or AI-enabled data discovery solutions
  • Familiarity with infrastructure as code such as Terraform or CloudFormation, plus streaming, Databricks, Snowflake, observability, and DevOps practices

Working Hours:

  • India: 05:30 PM to 02:30 AM IST
  • Philippines: 08:00 PM to 05:00 AM PHT

Skills Required

  • Bachelor's degree in Computer Science, Information Technology, or related field
  • 5-8 years of experience in data engineering and ETL development
  • Design and develop scalable ETL/data pipelines
  • Build and optimize data models and data warehouses
  • Advanced SQL and database technologies
  • Python or Spark development experience
  • Experience with AWS or Azure data services / cloud data platform experience
  • Knowledge of data integration and orchestration tools
  • Ensure data quality, integrity, and governance
  • Strong analytical and troubleshooting skills
  • Snowflake, Databricks, or Redshift experience
  • CI/CD and DevOps exposure
  • Experience with real-time streaming technologies

Thermo Fisher Scientific Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Thermo Fisher Scientific and has not been reviewed or approved by Thermo Fisher Scientific.

  • Retirement Support Retirement programs include a strong company 401(k) match and an employee stock purchase plan that add meaningful long‑term value. Feedback suggests these features stand out among core financial benefits even when base pay feels average.
  • Healthcare Strength Health coverage offers multiple national medical options alongside dental and vision, with company‑paid life and disability coverage. This breadth is considered a solid foundation even if some costs may not be the lowest among peers.
  • Parental & Family Support Paid parental and caregiver leave, backup care, adoption assistance, and specialized family resources are available. Feedback suggests these supports are a notable plus for colleagues managing family and caregiving needs.

Thermo Fisher Scientific Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Waltham, MA
100,000 Employees

What We Do

Thermo Fisher Scientific Inc. is the world leader in serving science, with annual revenue of approximately $40 billion. Our Mission is to enable our customers to make the world healthier, cleaner and safer. Whether our customers are accelerating life sciences research, solving complex analytical challenges, increasing productivity in their laboratories, improving patient health through diagnostics or the development and manufacture of life-changing therapies, we are here to support them. Our global team delivers an unrivaled combination of innovative technologies, purchasing convenience and pharmaceutical services through our industry-leading brands, including Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific, Unity Lab Services, Patheon and PPD.

Why Work With Us

You will join a company which every colleague has the opportunity to create possibilities, for oneself, for our customers and patients. There is no more exciting place to be than at the forefront of solving problems which help improve lives around the world. As a company, we are committed to supporting your career aspirations and your journey.

Gallery

Gallery

Similar Jobs

Hybrid
Bengaluru, Bengaluru Urban, Karnataka, IND
289097 Employees

Optum Logo Optum

Lead Data Engineer

Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
In-Office
Bengaluru, Bengaluru Urban, Karnataka, IND
160000 Employees
Hybrid
Bengaluru, Bengaluru Urban, Karnataka, IND
289097 Employees
Hybrid
Bengaluru, Bengaluru Urban, Karnataka, IND
289097 Employees

Similar Companies Hiring

Formation Bio Thumbnail
Artificial Intelligence • Big Data • Healthtech • Biotech • Pharmaceutical
New York, NY
150 Employees
SOPHiA GENETICS Thumbnail
Software • Healthtech • Biotech • Big Data • Artificial Intelligence
Boston, MA
450 Employees
Pfizer Thumbnail
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
New York, NY
121990 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account