Job Details

ID #45996322
State Virginia
City Richmond
Job type Permanent
Salary USD $125,000 - $160,000 annually 125000 - 160000 annually
Source Kforce Technology Staffing
Showed 2022-09-26
Date 2022-09-24
Deadline 2022-11-22
Category Et cetera
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Senior Data Engineer

Virginia, Richmond, 23238 Richmond USA

Vacancy expired!

RESPONSIBILITIES:Kforce has a client that is seeking a Senior Data Engineer for a Fortune 500 Tech Company for a fully remote role.

Summary:We are currently working with a Fortune 500 company who is an industry leader in the auto technology world. Because they keep growing (to the delight of investors and employees year after year) they're looking to add strong data engineers to their team.

Company Highlights: Great Work life Balance and Flexibility - so you can get home (log off) to your family or spend more time with your friends (did I mention everyone is remote) Incredible Culture - only hire the best from a professional and personality standpoint and you'll feel that immediately when meet the people you'd work with On this team, you'd be in the driver's seat; The company doesn't rely on technology to grow, technology is what makes the company grow and is the company's #1 priority Strong package with Bonus and Equity - so you will be paid what you are worth You'd always be learning (never be bored) thanks to a dual agile environment with multiple releases per day The perks of a stable Fortune 500 with the sexiness of a startup: Each product group acts as start up so you're a part of the design and your work is on display Defined Career Path - Growth on tech path Senior, Principal, Senior Principal, Distinguished Engineer, Solutions Architect, Enterprise Architect.; Move to business leadership taking part in their in-house manager training program They do promotional reviews 2X a year Recession proof business

REQUIREMENTS: Bachelor's degree in Computer Science, Decision Science, Engineering, Statistics, or a related field, or equivalent alternative education, skills, and/or practical experience is required 5+ years of work experience required in data management disciplines including (data integration, modeling, optimization, and data quality), and/or other areas directly relevant to data engineering responsibilities and tasks

Preferred Qualifications: 5+ years overall data engineering (ETL/ELT) experience including guiding ideation, design, and decisions in a collaborative team setting Experience with data pipeline development in Cloud environments (i.e., Azure Data Factory or Azure Databricks) or AWS Experience with unit/function/integration testing, documentation, quality controls, pipeline monitoring and support, and team teach-outs Experienced in SQL query, data manipulation language (DML) and data definition language (DDL) including hands-on experience of managing database tables and views Experience with python Experience working with pySpark and Databricks Understanding of streaming data ingestion and technologies, such as Azure Event Hubs or AWS tools Experience working with Agile and DevOps methodologies Teamwork skills, ability to learn quickly, excellent written and spoken communication Ability to learn and use a wide variety of open source technologies and cloud services

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

Vacancy expired!

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