IT Technology Lead | Analytics Packages | Python Big Data
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Monthly Salary:
Posted on:
3 hours ago
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Vacancies:
1 Vacancy
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Job Summary
Job Title: Senior Data Engineer
Work Location & Reporting Address: Omaha NE 68102 (or Chicago IL)
Is this a hybrid or full onsite set-up Onsite
Do you consider candidate/s who are willing to relocate Yes
Vendor Rate: 52.83
Contract duration: 6 months
Target Start Date: 01 Apr 2026
Does this position require Visa independent candidates only Yes
Interview Process (Is face to face required) Video interview is fine.
Job Details:
Minimum years of experience required: 5-8 years
Certification needed: Not mandatory
Must Have Skills: Databricks Snowflake Pyspark
Nice to Have Skills: IICS Python
Detailed Job Description:
Skill Set:
As a Senior Data Engineer you will play a key role in leading the development maintenance and optimization of data pipelines and workflows within our Enterprise Data Platform. You ll apply strong data engineering fundamentals along with software engineering and DevOps practices so pipelines are built deployed and monitored as code. Your work will help ensure data accuracy reliability and accessibility enabling teams across the organization to make informed decisions.
This position offers an opportunity to lead technical solutions mentor engineers and collaborate with cross-functional teams to solve complex data challenges and create impactful solutions.
Key Responsibilities:
Lead the design development and maintenance of scalable data pipelines that process and integrate data from multiple sources into the Enterprise Data Platform.
Build pipelines and workflows as code using modern engineering practices (version control code reviews automated testing reusable components).
Define and implement patterns for CI/CD for data pipelines (automated builds tests deployments and environment promotion).
Partner with data scientists analysts and business teams to gather requirements and translate them into robust data solutions.
Build and optimize SQL queries and transformations to support complex business use cases and analytics needs.
Design and manage data models; validate them with business stakeholders data architects and governance partners.
Establish data quality checks validation and troubleshooting practices to ensure accuracy consistency and trust in data products.
Monitor and optimize pipeline performance and reliability; implement observability (logging/metrics/alerts) and contribute to operational runbooks.
Drive automation to improve efficiency reduce manual effort and increase repeatability of platform operations.
Provide technical leadership through mentoring reviews and guidance on best practices and standards.
Participate in Agile ceremonies to plan estimate and deliver work efficiently.
Create and maintain documentation for data workflows transformations standards and operational procedures.
Technical Skills:
Bachelor s degree in computer science Information Systems or a related field (or equivalent experience).
5 8 years of experience in data engineering or a related role.
Advanced proficiency in SQL for complex data transformation and analysis.
Hands-on experience with cloud-based data platforms such as Databricks Snowflake or similar tools.
Experience with ETL/ELT tools and frameworks (e.g. Informatica Talend dbt or equivalent).
Strong proficiency in Python and/or PySpark for data processing and pipeline development.
Strong understanding of data modeling database design principles and building curated datasets for analytics and operational use cases.
Experience with DevOps practices and Git-based development (branching strategies pull requests code reviews).
Experience implementing CI/CD for data pipelines/workflows and managing deployments across environments.
CPG Domain Knowledge will be a plus.
Familiarity with orchestration and workflow tools (e.g. Databricks Workflows Airflow or similar) is preferred.
Familiarity with Infrastructure as Code (e.g. Terraform CloudFormation) and/or containerization concepts is a plus.
Strong problem-solving skills attention to detail and ability to troubleshoot complex issues end-to-end.
Excellent communication skills and ability to collaborate across technical and non-technical teams. Project Code :Conagra ITO Gen3 AMS STP DNACRLDCLD
Work Location & Reporting Address: Omaha NE 68102 (or Chicago IL)
Is this a hybrid or full onsite set-up Onsite
Do you consider candidate/s who are willing to relocate Yes
Vendor Rate: 52.83
Contract duration: 6 months
Target Start Date: 01 Apr 2026
Does this position require Visa independent candidates only Yes
Interview Process (Is face to face required) Video interview is fine.
Job Details:
Minimum years of experience required: 5-8 years
Certification needed: Not mandatory
Must Have Skills: Databricks Snowflake Pyspark
Nice to Have Skills: IICS Python
Detailed Job Description:
Skill Set:
As a Senior Data Engineer you will play a key role in leading the development maintenance and optimization of data pipelines and workflows within our Enterprise Data Platform. You ll apply strong data engineering fundamentals along with software engineering and DevOps practices so pipelines are built deployed and monitored as code. Your work will help ensure data accuracy reliability and accessibility enabling teams across the organization to make informed decisions.
This position offers an opportunity to lead technical solutions mentor engineers and collaborate with cross-functional teams to solve complex data challenges and create impactful solutions.
Key Responsibilities:
Lead the design development and maintenance of scalable data pipelines that process and integrate data from multiple sources into the Enterprise Data Platform.
Build pipelines and workflows as code using modern engineering practices (version control code reviews automated testing reusable components).
Define and implement patterns for CI/CD for data pipelines (automated builds tests deployments and environment promotion).
Partner with data scientists analysts and business teams to gather requirements and translate them into robust data solutions.
Build and optimize SQL queries and transformations to support complex business use cases and analytics needs.
Design and manage data models; validate them with business stakeholders data architects and governance partners.
Establish data quality checks validation and troubleshooting practices to ensure accuracy consistency and trust in data products.
Monitor and optimize pipeline performance and reliability; implement observability (logging/metrics/alerts) and contribute to operational runbooks.
Drive automation to improve efficiency reduce manual effort and increase repeatability of platform operations.
Provide technical leadership through mentoring reviews and guidance on best practices and standards.
Participate in Agile ceremonies to plan estimate and deliver work efficiently.
Create and maintain documentation for data workflows transformations standards and operational procedures.
Technical Skills:
Bachelor s degree in computer science Information Systems or a related field (or equivalent experience).
5 8 years of experience in data engineering or a related role.
Advanced proficiency in SQL for complex data transformation and analysis.
Hands-on experience with cloud-based data platforms such as Databricks Snowflake or similar tools.
Experience with ETL/ELT tools and frameworks (e.g. Informatica Talend dbt or equivalent).
Strong proficiency in Python and/or PySpark for data processing and pipeline development.
Strong understanding of data modeling database design principles and building curated datasets for analytics and operational use cases.
Experience with DevOps practices and Git-based development (branching strategies pull requests code reviews).
Experience implementing CI/CD for data pipelines/workflows and managing deployments across environments.
CPG Domain Knowledge will be a plus.
Familiarity with orchestration and workflow tools (e.g. Databricks Workflows Airflow or similar) is preferred.
Familiarity with Infrastructure as Code (e.g. Terraform CloudFormation) and/or containerization concepts is a plus.
Strong problem-solving skills attention to detail and ability to troubleshoot complex issues end-to-end.
Excellent communication skills and ability to collaborate across technical and non-technical teams. Project Code :Conagra ITO Gen3 AMS STP DNACRLDCLD
