Data Engineer

Posted 2 Days Ago
Hiring Remotely in United States
Remote
Mid level
Software • Financial Services
The Role
The Data Engineer will design, develop, and optimize large scale data pipelines and ensure effective data delivery for cross-functional teams.
Summary Generated by Built In

We are looking for an accomplished Data Engineer to join our quickly growing Analytics team. This role will be responsible for expanding and improving our data and data pipeline architecture, as well as optimizing data flow and MDM for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. 


The Data Engineer will support database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data pipelines to support our next generation of products and data initiatives.


RESPONSIBILITIES

•Design, develop, and operate large scale data pipelines to support internal and external consumers

•Improve and automate internal processes

•Integrate data sources to meet business requirements

•Write robust, maintainable, well documented code


QUALIFICATIONS

• 2-4 years professional Data Engineering and Data warehousing experience

• Extremely strong implementation experience in Python, Parquet, Spark, Azure Databricks, Delta Lake, Databricks Data Warehouse. Databricks workflows, Delta Sharing and Unity Catalog.

• SQL development knowledge – Stored procedures, triggers, jobs, indexes, partitioning, pruning etc.

• Be able to write/debug complex SQL queries

• ETL/ELT and Data-warehousing techniques and best practices

• Experience building, maintaining, and scaling ETL/ELT processes and infrastructure

• Implementation experience with various data modelling techniques 

• Implementation experience working with a BI visualization tool (Sisense is a plus)

• Experience with CI/CD tools (Preferred Gitlab, Jenkins)

• Experience with cloud infrastructure (Azure strongly preferred)

• Experience working in a fast-paced product environment, with an attitude of getting the job done with the least amount of tech debt

• Pluses for experience with UI development frameworks such as java script, Django, REACT etc.

• Knowledge of being able to work with a variety of Ingestion patterns such as API/SQL servers etc.

• Knowledge of Master Data Management

• Prior Financial industry experience a plus.

• Be able to navigate ambiguity and pivot based on business priorities with ease.

• Strong communication, negotiating and estimating skills.

• Be a team player and should be able to collaborate well.

Top Skills

APIs
Azure
Azure Databricks
Ci/Cd Tools
Databricks Data Warehouse
Delta Lake
Gitlab
Jenkins
Parquet
Python
Spark
SQL
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The Company
HQ: Costa Mesa, CA
522 Employees
Year Founded: 1998

What We Do

Pioneering Technologies for Your Financial Institution
Since 1998, we have been creating innovative technologies that transform the way financial institutions operate by solving complex problems with streamlined, user-friendly solutions. Our robust and secure technologies empower lenders and consumers to get reliable, accurate information every time, at any time. As well-established industry leaders, we continue to set the industry standard for web-based credit reporting and lending for financial institutions of every size.

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