Description:

The Associate Data Engineer will be responsible for creating an inclusive workspace and building data-intensive applications to extract, transform, and load massive data sets from various sources.
They will assemble large and complex data sets, develop processes for data mining and modeling, and prepare data for prescriptive and predictive modeling.
The role involves compiling and delivering aggregated data for analysis, improving data reliability and quality, and collaborating with cross-functional teams to support data infrastructure needs.

Requirements:

Experience with key data analytics tools such as Python, Pandas, and PySpark.
Ability to learn how to build and optimize data pipelines, architectures, and data sets.
Attention to detail and intellectual curiosity to innovate on data management solutions.
Passion for progressive and philanthropic causes, as well as digital technologies.

100% employer-paid premiums for platinum-level medical plan on a national health care network.
100% employer-paid life insurance and short term disability, 50% employer-paid vision and dental insurance.
401(k) with 3% employer contribution, 17 vacation days, 12 paid holidays, sick days, bereavement leave, and a volunteer day off.
Paid parental leave at 100% of salary, financial support for reproductive and transgender care.
Flexible telecommute and remote work policies, company-issued Mac products for home offices.
Cell phone service reimbursement, meal and ride-share reimbursement, and other perks available.