We are looking for a Senior Data Engineer to join our team in Business Technology (BT) as part of a core, centralized Business Intelligence function serving the entire organization. In this role, you will be responsible for designing and developing scalable solutions for a large data infrastructure in a fast-paced, Agile environment. You will be part of a team doing detailed technical designs, development, and implementation of applications using cutting-edge technology stacks.
Our focus is on building platforms and capabilities that are utilized across the organization by sales, marketing, engineering, finance, product, and operations. The ideal candidate will have a strong engineering background with the ability to tie engineering initiatives to business impact.
Responsibilities:
- Design scalable and reliable data pipelines to consume, integrate and analyze large volumes of complex data from different sources to support the growing needs of our business
- Build a data access layer to provide data services to internal and external stakeholders
- Analyze a variety of data sources, structures, and metadata and develop mapping, transformation rules, aggregations and ETL specifications
- Help define, deploy, and manage a next generation data lake and master data architectures to enable information transparency for our clients and data quality across systems.
- Proactively develop architectural patterns to improve efficiency
- Interface with stakeholders to gather requirements and build functionality
- Support and enhance existing data infrastructure
- Build data expertise and data quality for areas of ownership
- Experiment with different tools and technology. Share learnings with the team
- Evaluate new technologies such as Docker, AWS lambda, ECS, EMR etc.
Qualifications:
- BS in Computer Science, Engineering, or another quantitative field of study
- 5+ years in a data engineering role
- 3+ years in the data warehouse and data lake space
- Experience with building distributed systems
- Expertise in a programming language (Python or Java)
- 5+ years’ experience working with SQL
- 3+ years’ experience with ETL tools such as Airflow, Oozie, Luigi or Informatica
- 3+ year’ experience with relational and columnar MPP databases like Snowflake, Athena or Redshift
- 3+ years of experience with database and application performance tuning
- Experience with Data Lake development (AWS Lake Formation, EMR, Apache Iceberg, S3)
- Experience with CI/CD tools and procedures such as Jenkins, Git, Chef, and Ansible
- Experience with cloud infrastructure/platforms (AWS, Azure, Google Cloud Platform)
- Experience with real-time data streaming using Storm, Kinesis or Spark
- Experience building APIs using Java spring boot or other programming languages
- Excellent oral and written communication skills, both technical and non-technical audience
((Colorado, New York and Washington only*) Minimum base of $135,000/year + bonus + equity + benefits))
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