2307 IT & Software Developer jobs in the US

Thermo Fisher Scientific jobs

Data Engineer with Python and SQL

$69,000 - 109,000
Thermo Fisher Scientific
Pasadena Drive North 300, Pittsburgh
$69,000 - 109,000
Company Size icon
Company Size
5k+
Company Type icon
Company Type
Product
Exp Level icon
Exp Level
Regular
Job Type icon
Job Type
Full-Time
Language icon
Language
English
Visa sponsorship icon
Visa sponsorship
No

Requirements

Must:
- Bachelors degree in Computer Science Engineering or a related field - Over 6 years of experience with Databricks, Data/Delta Lake, Unity Catalog, Oracle, SQL Server, or AWS Redshift relational databases - Proven expertise in ETL processes (data extraction, transformation, and load) - Extensive experience in data integration and pipeline development - Strong proficiency in Databricks and Apache Spark - Familiarity with Data Lake, Delta Lake, Unity Catalog, AWS Glue, and Athena - More than 6 years of hands-on experience with AWS Cloud in data integration using tools like Spark, Glue, Kafka, Elastic Search, Lambda, S3, Redshift, RDS, MongoDB/DynamoDB ecosystems - Solid background in Python development, particularly with PySpark in AWS Cloud - Experience designing, developing, testing, deploying, maintaining, and enhancing data integration pipelines - Proficient in Python and familiar with standard Python libraries - Knowledge of Generative AI models (e.g., GPT, DALL-E) and their applications in data engineering and analytics - Strong analytical skills in writing complex database queries, optimization, debugging, user-defined functions, views, and indexes - Familiarity with source control systems such as Git and continuous integration tools like Jenkins - Self-motivated and results-oriented with a commitment to deliver high-quality outcomes in a timely manner - Understanding of development methodologies and experience writing functional and technical design specifications - Willingness to learn about Generative AI - Ability to support 20% of activities alongside development work - Excellent verbal and written communication skills for effective interaction with teams - Prior technical development experience in data services or engineering - Proven ability to resolve complex data integration challenges - Capability to work collaboratively across functions, demonstrating a data-driven and results-focused mindset

Technologies

AI
AWS Glue
Lambda
Redshift
Databricks
Jenkins
Marketing

Responsibilities

- Design, develop, test, and deploy data integration solutions that connect and integrate with Thermo Fishers enterprise systems - Innovate data integration strategies utilizing an Apache Spark-based platform to harness advanced technological capabilities - Conduct requirements gathering and process mapping workshops, review and author business/functional requirement documents, and create technical design documents and testing plans - Assist in implementing standard operating procedures, conduct review sessions with stakeholders, and apply technical knowledge to enhance processes - Define, design, and document reference architecture while leading the deployment of business intelligence and analytical solutions - Adhere to agile development methodologies to deliver enhancements and product features and implement DevOps practices for continuous improvement

Description


At Thermo Fisher Scientific, we are dedicated to impactful work that contributes to finding cures for cancer, safeguarding the environment, and ensuring food safety. We strive to support our employees in achieving their career aspirations. We are currently looking for a Data Engineer to join our Data Science Center of Excellence and Data Architecture team in Pittsburgh, PA. In this role, you will help build Databricks-based data pipelines and enhance our enterprise-level data platform, facilitating data science, analytics, and digital marketing initiatives. We pride ourselves on our innovative culture and are committed to delivering outstanding results.
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