Job description

// This position is fully remote but you need to be located in the Southeastern USA (NC to Texas) for in-person meetings when required. //

Atticus helps to match non-profit organizations with major donors that share their mission, vision, and values. This matching process involves collecting and transforming a significant amount of data from a variety of sources. The Data Engineer builds, maintains, and operates the integrations, systems, and datasets that automate this process.

As one of the first Engineering positions in the company, this role will require the candidate to influence and/or lead technology decision-making for a key part of the product. Consequently, Atticus is looking for candidates with significant professional experience and demonstrated leadership as a Data Engineer.

The Data Engineer will take ownership of an existing production system that collects and transforms data from client file uploads, several third-party web APIs, and a few internal databases. The system is hosted in Azure and currently uses Databricks/Spark to automate the data pipeline, ultimately feeding into an Azure Cosmos DB application database. No system is perfect, and the Data Engineer will be expected to review the design of the existing system and recommend improvements.

If this sounds like you, kick off the process by submitting your resume here on Indeed and spending a few minutes (~15) on a work-traits assessment that will give us some insight into how you prefer to work and communicate. https://assessment.predictiveindex.com/bo/849R/datasci

ESSENTIAL DUTIES AND RESPONSIBILITIES

· Ensure that data systems and datasets meet the needs of the business

· Find, analyze, and integrate new data sources, both structured and unstructured

· Build data systems that automatically collect, transform, and combine these data sources into consistent, up-to-date, and high-quality datasets for both human and machine learning use

· Conduct complex statistical analysis of data and report on the results

· Detect, diagnose, and correct data quality and reliability issues

· Optimize data systems’ costs and performance

· Collaborate regularly with software engineers, data scientists, and consumers of the data

Job Type: Full-time

Pay: From $165,000.00 per year

Benefits:

• 401(k)
• 401(k) matching
• Dental insurance
• Health insurance
• Health savings account
• Paid time off
• Professional development assistance
• Vision insurance

Compensation package:

• Bonus pay
• Performance bonus

Experience level:

• 5 years

Schedule:

• 8 hour shift

Experience:

• Relational databases: 3 years (Preferred)
• Information Retrieval: 3 years (Preferred)

Work Location: Remote

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