Senior Informatica ETL Developer: Snowflake & Cloud Data

Ecclesiastes Inc; Newark (DE); On-site; USD 120,000 - 170,000; Full time

Job summary

Ecclesiastes Inc. in Newark, DE seeks a senior data engineer to design and deliver scalable data architectures, pipelines and BI-ready data products in collaboration with product managers and Scrum teams.

The role emphasizes hands-on development in SQL/Python, cloud data platforms, and CI/CD practices, mentoring junior technologists and driving data quality, security, and governance across the data lake and warehouse.

Qualifications

• Bachelor’s degree or equivalent in Computer Science, Engineering, or a technology-related field.
• 7+ years identifying technical solutions for complex business problems with benefit/risk assessments.
• 7 years in technology/data engineering architecting and developing end-to-end scalable data applications and pipelines; collaborate with product managers and Scrum teams.
• 7 years leading automated Informatica data pipelines; 4+ years Informatica Cloud (IICS); data profiling, data quality, and catalog tools.
• 7 years working in enterprise data warehousing and platforms; knowledge of RDBMS, Snowflake, S3 Data Lake, CI/CD, Jenkins and AWS technologies.
• 5 years designing automated data solutions using Snowflake Lakehouse; building workflows; ETL with SQL or Python.
• 5 years mentoring technologists; implementing CI/CD, change management, data security, auditing processes.
• 4 years applying software engineering best practices across the development lifecycle; agile methodologies; AWS/Informatica/Snowflake certs preferred; Dataiku a plus.

Skills

Technical solutioning

Data pipeline architecture

ETL development

Data warehousing

SQL

Python

CI/CD

AWS

Agile

Informatica

Education

Bachelor's Degree in CS/Engineering or related field

Tools

Informatica Cloud (IICS)

Snowflake

AWS cloud technologies

Dataiku

Job description

Ecclesiastes Inc. in Newark, DE seeks a senior data engineer to design and deliver scalable data architectures, pipelines and BI-ready data products in collaboration with product managers and Scrum teams.

The role emphasizes hands-on development in SQL/Python, cloud data platforms, and CI/CD practices, mentoring junior technologists and driving data quality, security, and governance across the data lake and warehouse.