Senior Data Engineer
AbbVie
4 months ago
Remote friendly (North Chicago, IL)
United States
IT
Key Responsibilities:
- Provide technical vision and hands-on expertise to execute platform solutions.
- Manage cloud computing infrastructure, including scale, performance, and cost.
- Gather technical requirements, validate architecture, and create/review designs.
- Coordinate efforts across data engineering, data curation, and platform engineering teams to successful completion.
- Guide engineering resources toward code standards and templates as part of data frameworks and patterns.
- Demonstrate ownership of technical stacks for individual cloud applications.
- Align with systems lifecycle standards and processes.
- Manage time and deliver results across multiple workstreams.
- Work with team members globally (onsite, offshore).
- Onsite position; 2 days/week WFH eligible.
Qualifications:
- Education & Experience: Bachelor’s degree in Computer Engineering/Applications and 12 years of IT experience. Alternatively, Master’s degree (or foreign equivalent) in Computer Engineering/Applications and 8 years of IT experience.
- Required (8 years): Hands-on proficiency in Python, Apache, Spark, and SQL; AWS development using EC2, Glue, Spark, S3, Redshift, and Athena; relational and non-relational databases; building data engineering pipelines using Apache Airflow and GlueETL; API architecture development; metadata management, data quality, master data, and data lineage.
- Required (3 years): Technical Project Owner and Team Lead experience.
Benefits:
- Paid time off (vacation, holidays, sick); medical/dental/vision insurance; 401(k) to eligible employees.
- Eligible to participate in short-term and long-term incentive programs.
Application Instructions:
- Apply online at https://careers.abbvie.com/en or send resume to Job.opportunity.abbvie@abbvie.com. Refer to Req ID: REF49752K
- Provide technical vision and hands-on expertise to execute platform solutions.
- Manage cloud computing infrastructure, including scale, performance, and cost.
- Gather technical requirements, validate architecture, and create/review designs.
- Coordinate efforts across data engineering, data curation, and platform engineering teams to successful completion.
- Guide engineering resources toward code standards and templates as part of data frameworks and patterns.
- Demonstrate ownership of technical stacks for individual cloud applications.
- Align with systems lifecycle standards and processes.
- Manage time and deliver results across multiple workstreams.
- Work with team members globally (onsite, offshore).
- Onsite position; 2 days/week WFH eligible.
Qualifications:
- Education & Experience: Bachelor’s degree in Computer Engineering/Applications and 12 years of IT experience. Alternatively, Master’s degree (or foreign equivalent) in Computer Engineering/Applications and 8 years of IT experience.
- Required (8 years): Hands-on proficiency in Python, Apache, Spark, and SQL; AWS development using EC2, Glue, Spark, S3, Redshift, and Athena; relational and non-relational databases; building data engineering pipelines using Apache Airflow and GlueETL; API architecture development; metadata management, data quality, master data, and data lineage.
- Required (3 years): Technical Project Owner and Team Lead experience.
Benefits:
- Paid time off (vacation, holidays, sick); medical/dental/vision insurance; 401(k) to eligible employees.
- Eligible to participate in short-term and long-term incentive programs.
Application Instructions:
- Apply online at https://careers.abbvie.com/en or send resume to Job.opportunity.abbvie@abbvie.com. Refer to Req ID: REF49752K