Dice is the leading career destination for tech experts at every stage of their careers. Our client, INSPYR Solutions, is seeking the following. Apply via Dice today!
Title: Sr. Data Engineer Data Activation & Sharing
Location: Seattle, WA (Hybrid 2-3 days a week)
Duration: 12+ month contract
Compensation: $87.00-$95.40/hr
Work Requirements: Holders or Authorized to Work in the U.S.
We are looking for a Sr. Data Engineer to join the Data Activation team who can operate across the enterprise to ensure on-time, high-quality delivery of products and features that directly drive our business. The Data Activation team, within the Product & Data Engineering business unit, is responsible for sharing data with internal customers and external 3rd party partners in a secure and reliable fashion, ensuring that chain-of-custody of our sensitive data is maintained at every step of the process.
Responsibilities:
- Interfacing with the key stakeholders to understand the business
Requirements:
- Designing and developing necessary data models, ETL's, reports, etc. as per requirements
- Working with big data technologies such as Spark and cloud database technologies like Snowflake
- Writing test scripts and automating where possible (using tools such as but not limited to Pyspark, bash scripting, python)
Basic Qualification:
- Participating in code reviews
- Ensuring code is checked in as per company guidelines
- Participating in weekly scrum meetings and daily stand up meetings
- Contributing to ensure correct status in burn down charts
- Ensuring QA sign off is obtained, fix any bugs as discovered
- Supporting product signoff process and fix any issues / bugs discovered
- Providing post go-live support for addressing any P1 issues
Preferred Qualifications:
- 5+ years of data engineering experience developing large data pipelines
- Strong SQL skills and ability to create queries to extract data and build performant datasets
- Hands-on experience with distributed systems such as Spark (via Databricks using Scala or Python) to query and process data.
- Experience with at least one major MPP (elastic map reduce) or cloud database technology (Snowflake, Redshift, Big Query). Snowflake Experience Is Strongly Preferred.
- Experience with AWS Cloud technologies (S3 at a minimum)
- Solid experience with data integration toolsets (i.e Airflow) and writing
Required Education:
- BS STEM +5yrs