Data Engineering Manager
About Spokeo :
Spokeo is a people intelligence platform that helps over 18 million monthly visitors reconnect with friends, reunite with families, and build trust in new relationships. Thousands of companies also trust Spokeo ’s 60 billion public records to improve customer research, help verify information, and prevent fraud.
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:
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Lead and manage data engineers to build data solutions for our business intelligence needs
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Lead a cross-functional team in building a state-of-the-art data analytics platform
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Collaborate with data scientists, analysts, product managers, and executives to understand and fulfill our data needs
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Lead database development, data pipeline, integration, ETL, modeling, and data architecture using AWS technologies
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Define and manage SLA’s for all data sets and reporting processes
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Develop software engineering best practices, guidelines, procedures, and repeatable and scalable frameworks
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Document, automate, and enforce data quality, data integrity, and QA best practices
What you’ve done:
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7+ years of experience in Business Intelligence and Data Warehousing
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5+ years of experience with cloud solutions (AWS, Azure)
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5+ years of experience with big data technologies (Spark, Hadoop, MapReduce, Hive, Kafka)
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5+ years of experience with data pipelines orchestration tools like Airflow.
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2+ years of experience managing data engineering teams, providing technical guidance, and mentoring data engineers.
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Expertise in data lakes, warehouses, modeling, ETL, and big data platforms.
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Familiarity with MLOps to help design, automate, and streamline the entire lifecycle of ML models.
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Expertise in RDBMS, SQL, query optimization, and security
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A Bachelor’s degree in Computer Science, Information Management, or a related field
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Attention to detail, excellent problem-solving ability, and strong communication skills
Working at Spokeo
Our mission is to advance transparency, and to achieve that goal, we rally around six core values: listening with empathy, understanding the why, clarifying with data, innovating to learn, collaborating to achieve, and insisting on quality.
As a remote-first company, we are able to hire team members residing in the following US states: AZ, CA, CO, FL, GA, KY, MD, MI, MO, NJ, NV, NC, PA, SC, SD, TX, VA, WA, or WY.
In addition to a highly competitive base salary, our generous benefits include:
- annual bonus program
- stock options
- 401K matching
- 100% medical/dental/vision coverage
- unlimited PTO
- mental health resources
- paid home office equipment
- fitness reimbursements
- support paying for courses
- and more
We extend written offers to candidates who successfully complete their selection process. Offers will depend on several factors, including, but not limited to, marketplace competition, job leveling, experience, and skills.
Privacy Notice for Candidates:
Spokeo is an equal opportunity employer. Applicants will receive consider