Senior Data Engineer

About Harver

Harver is the industry leading hiring solution helping organizations optimize their talent decisions. Rooted in over years of rich data insights, the company’s portfolio of solutions enables organizations to make the best talent decisions across the entire employee lifecycle.

Having processed over million candidates, Harver provides trusted, flexible, and adaptable offerings making hiring better, faster, and fundamentally more fair.

More than 1, customers trust Harver to help put purpose to work.

At Harver, we :

• Seek to Connect - Connections hold us together and make us stronger.
• Embrace the Present - Candor is crucial. Everyone has a clear view of what we're doing and why it matters.
• See it Through - Actions drive outcomes. We each have our role to play and we trust each other to get it done.
• Envision What's Beyond - We push ourselves to think past the obvious. Because what got us here, won't get us there.

Job Overview :

We are seeking a Senior Data Engineer to join our team. The ideal candidate will have extensive experience with Python and a strong background in managing and working with various databases.

The role involves implementing and maintaining robust data pipelines and developing codebases for task automation.

In this role you get to :

Automate statistical studies and machine learning processes that will be used to prove value to clients, including ROI and assessment validity.

Create tooling that will allow the data team to easily access data from multiple complex warehouses.

We’re looking for people who have :

Required Skills and Qualifications :

5+ years of advanced proficiency in Python for data engineering tasks and automation

5+ years of experience with relational databases, with strong skills in at least one of PostgreSQL, Snowflake, MySQL, or SQL Server, and familiarity with the others

2+ years of experience with MongoDB and the ability to articulate its differences and use cases compared to relational databases

Excellent problem-solving skills, attention to detail, and the ability to work independently and collaboratively in a team environment.

Candidates must be based in the US CT or ET time zone.

Preferred Qualifications :

Familiarity with orchestration tools such as Stitch and Airflow for managing complex data workflows.

Strong understanding of AWS services and experience with boto3 to integrate and automate interactions within the AWS environment.

Background in data analysis or data science to support cross-functional data needs.

Knowledge of best practices in data security and governance.

Background or interest in IO psychology / Psychometric data

The benefits of working at Harver :

As a global company, our benefits vary by location. Ask your recruiter to provide information about localized benefits. Harverians enjoy :

A competitive base salary and great incentive program

Discretionary paid time off when you need it, take it

A monthly wellness and connectivity allowance

Benefit plan options that give you the flexibility to select the right health care coverage for you and eligible family members

Retirement savings programs

Generous bonus and referral reward

Remote focused culture

Summer Fridays and quarterly wellness days

Flexible schedules to improve work / life balance

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.