Sr. Developer

Thermo Fisher

Remote

Quick summary

Work type: Remote
Location: Waltham, MA
Salary: $178,131–$186,000 / yr
Posted: 2 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $166k

This role $182k

$121k most similar roles pay here $207k

This role pays more than 67% of similar roles. Most pay $138,062–$193,530 — the shaded band above. At the midpoint, this role pays about $182k versus about $166k for comparable roles.

Based on 240 similar postings.

Employer

About Thermo Fisher

Thermo Fisher Scientific is the world leader in serving science, providing analytical instruments, equipment, reagents, consumables, software, and services for life sciences research, pharmaceutical manufacturing, and diagnostics. Industry: Life Sciences & Laboratory Equipment

Thermo Fisher currently has 10 open roles on FindRole.

Listed pay typically runs $130,000–$171,900 across 7 roles with salary data.

Most-posted roles

View all roles at Thermo Fisher

At a glance

TL;DR · Sr. Developer

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As a Senior Developer at Thermo Fisher Scientific Inc., you will join the Data Engineering team to design and implement scalable data pipelines using AWS services such as S3, Redshift, Glue, Lambda, EMR, Athena, and Kinesis with PySpark, Python, and SQL. You will lead the security framework for Databricks, including IAM, data governance, network security, encryption, and audit controls, while also applying molecule-level expertise to uncover strategic insights in drug development. Responsibilities include developing generative AI use cases from ideation through production, integrating systems with REST APIs and vector databases, and establishing robust evaluation frameworks. You will collaborate cross-functionally to deliver impactful AI solutions, optimize data pipelines for cost efficiency and scalability, and implement CI/CD pipelines using GitHub and Actions. Proficiency in Python, R, Scala, Java, Linux/Unix environments, shell scripting, and experience with relational databases and cloud data warehouses are essential, along with expertise in machine learning models, NLP techniques, and interactive visualizations using Power BI and QuickSight.

Skills

AWS Python PySpark Databricks Microsoft Entra ID CI/CD GitHub Terraform PostgreSQL Redshift Linux Shell scripting Bash Power BI QuickSight Delta Lake Matplotlib Seaborn Plotly

What you'll do

Design and implement scalable data pipelines using AWS services.
Lead the implementation of a comprehensive security framework for Databricks.
Define and enforce enterprise-grade security standards across Databricks workspaces.
Implement user access provisioning through Microsoft Entra ID, including SSO integration.
Apply domain expertise in molecule-level data to uncover strategic business insights.
Develop and fine-tune large language model applications with prompt engineering strategies.

What we're looking for

7+ years of experience in software engineering or data engineering
Proficiency in Python, PySpark, SQL, and AWS services like S3, Redshift, Glue
Expertise in designing secure Databricks platforms with IAM, encryption, and audit controls
Experience in molecule-level data analysis for drug development lifecycle insights
Skill in implementing CI/CD pipelines using GitHub and automation tools
Proficiency in machine learning models and NLP techniques for predictive analytics

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