Sr Engineer Data
Core
Architect, design, implement, and operate scalable data engineering solutions to transform data from disparate systems into insights for business stakeholders.
Role type
Senior Data Engineer (Cloud/ETL)
Builds
Scalable, resilient, and efficient data pipelines and cloud-based infrastructure
Domain
Financial services / Data Engineering
Deliverable
production ML models | infrastructure
Required skills
Python, SQL, AWS (Kinesis, Firehose, Redshift, SageMaker, Lambda), ETL pipeline development, data orchestration (Argo/Airflow), NoSQL databases, OLTP/OLAP design, API integrations, test case design, code review, performance tuning
Preferred skills
Financial services industry experience, mentoring junior team members, advancing new technologies (via careerplan.io/jobs/R0058527-1-sr-engineer-data-at-empower)
Technologies
AWS, Python, SQL, Argo, Airflow, Redshift, SageMaker, Lambda, Kinesis, Firehose, Aurora, Spectrum, Elastic MapReduce, NoSQL, R, Tableau, Plotly, Pandas
Responsibilities
Leverage cloud infrastructure to implement scalable technology solutions; architect and operate data engineering solutions using Agile methodology; facilitate and take ownership of technical projects in a fast-paced environment; ensure data quality and reliability through testing and pipeline optimization; collaborate with cross-functional teams including Data Scientists and DBAs.
Seniority
Senior, hands-on IC
