Description
We are seeking experienced Data Engineers to join our team. As a Data Engineer 4 (Manager IC) - Modeling & Architecture, you will collaborate with Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies.
Responsibilities:
- Collaborate with product managers and software engineers to deliver robust cloud-first data solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
- Influence a team of developers, data analysts, and data scientists with deep experience in machine learning, distributed microservices, lakehouse architecture, and full-stack systems
- Utilize programming languages such as Python and Spark, along with open-source relational and NoSQL databases, and cloud-based data warehousing platforms including Databricks and Snowflake
- Architect and enforce common data engineering design patterns to ensure code quality, maintainability, and reusability across data platforms and pipelines
- Design and build data pipelines and platforms with a focus on scalability, resilience, and operational efficiency, ensuring robust performance under increasing data volume and business demands
- Implement data security standards, including encryption at rest/transit and fine-grained access control, ensuring compliance with data privacy regulations
- Serve as an ambassador for the data engineering team, communicating technical concepts and data outcomes clearly to both internal and external stakeholders to drive alignment and shared understanding
Basic Qualifications:
- Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
- At least 4 years of experience in application development
- At least 2 years of experience in distributed data
- At least 2 years of experience with SQL
- At least 2 years of experience with one programming language (Python, Java, or Scala)
- At least 2 years of experience in data pipeline design and development
- At least 1 year of experience in data modeling and designing end-to-end data solutions using both relational and non-relational database systems
Preferred Qualifications:
- 7+ years of experience in application development with demonstrated proficiency in Python, SQL, Scala, or Java
- 4+ years of experience in Data Architecture/Data Modeling
- 4+ years of hands-on experience designing, deploying, and operating data workloads in at least one public cloud environment (AWS, Microsoft Azure, or Google Cloud)
- 4+ years of experience building or supporting distributed data or compute workloads using tools such as EMR, Spark, Glue, or Databricks
- 4+ years of experience designing, implementing, and operating real-time or streaming data pipelines
- 2+ years of experience working on data observability (e.g., Monte Carlo, Splunk) or data orchestration tools (e.g., Airflow, Dagster)
- 4+ years of experience working with unstructured or semi-structured data using NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB)
- 4+ years of experience designing and supporting data warehousing solutions (e.g., Snowflake, Redshift)
- 2+ years of experience working in an Agile development environment
- 2+ years of experience developing user-centric reusable data products
Benefits:
- Comprehensive, competitive, and inclusive set of health, financial, and other benefits that support your total well-being