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Data Engineering Manager
Spokeo
- Saint Paul, Illinois, United States
- Saint Paul, Illinois, United States
À propos
Founded in 2006, Spokeo has built a dedicated, remote-first team with an average tenure of 6.9 years. It has earned recognition from Comparably as a Best Company for Compensation, Employee Happiness, Perks and Benefits, Support for Women, Work-Life Balance, and CEO Leadership.
About This Opportunity Spokeo is seeking a Data Engineering Manager to help build a state-of-the-art analytics platform. As a Data Engineering Manager, you will report directly to our Director of Data Engineering and lead a cross-functional team of data engineers to deliver high-quality, scalable data solutions that meet our data, reporting, and analytics needs. You will provide leadership and technical skills to champion and implement data governance, data integrity, data engineering standards, data integration, and QA best practices. You will partner closely with our Product Owners to understand requirements, provide technical guidance to the team, and ensure the timely delivery of quality solutions.
What You’ll Do
Lead and manage data engineers to build data solutions for our business intelligence needs
Lead a cross-functional team in building a state-of-the-art data analytics platform
Collaborate with data scientists, analysts, product managers, and executives to understand and fulfill our data needs
Lead database development, data pipeline, integration, ETL, modeling, and data architecture using AWS technologies
Define and manage SLA’s for all data sets and reporting processes
Develop software engineering best practices, guidelines, procedures, and repeatable and scalable frameworks
Document, automate, and enforce data quality, data integrity, and QA best practices
What You’ve Done
7+ years of experience in Business Intelligence and Data Warehousing
5+ years of experience with cloud solutions (AWS, Azure)
5+ years of experience with big data technologies (Spark, Hadoop, MapReduce, Hive, Kafka)
5+ years of experience with data pipelines orchestration tools like Airflow
2+ years of experience managing data engineering teams, providing technical guidance, and mentoring data engineers
Expertise in data lakes, warehouses, modeling, ETL, and big data platforms
Familiarity with MLOps to help design, automate, and streamline the entire lifecycle of ML models
Expertise in RDBMS, SQL, query optimization, and security
A Bachelor’s degree in Computer Science, Information Management, or a related field
Attention to detail, excellent problem-solving ability, and strong communication skills
Working at Spokeo Spokeo offers a bonus program, equity plans, and 401K. Once a year, we do a discretionary, merit-based salary increase. Additional benefits include 100% medical/dental/vision coverage and unlimited employee PTO.
Spokeo extends written offers to candidates who successfully complete their selection process. Spokeo’s offers include a base salary, participation in a company bonus program, stock options, and comprehensive benefits. A final offer will depend on several factors, including, but not limited to, marketplace competition, job leveling, the candidate’s experience, skills, etc.
Privacy Notice for Candidates: https://www.spokeo.com/recruiting-policy
Spokeo is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status. Spokeo fosters a business culture where ideas and decisions from all people help us grow, innovate, create the best products, and be relevant in a rapidly changing world.
Spokeo is a people search engine that helps over 18 million monthly visitors reconnect with friends, reunite with families, and protect against fraud. Additionally, our 12 billion records and over 250 million unique profiles help business professionals locate people and assets, research criminal investigation subjects, and more.
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Compétences linguistiques
- English
Avis aux utilisateurs
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