Data Engineering Manager

Data Engineering ManagerSpokeo 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.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 needsLead a cross-functional team in building a state-of-the-art data analytics platformCollaborate with data scientists, analysts, product managers, and executives to understand and fulfill our data needsLead database development, data pipeline, integration, ETL, modeling, and data architecture using AWS technologiesDefine and manage SLA's for all data sets and reporting processesDevelop software engineering best practices, guidelines, procedures, and repeatable and scalable frameworksDocument, automate, and enforce data quality, data integrity, and QA best practicesWhat you've done:7+ years of experience in Business Intelligence and Data Warehousing5+ 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 securityA Bachelor's degree in Computer Science, Information Management, or a related fieldAttention to detail, excellent problem-solving ability, and strong communication skillsWorking at SpokeoOur 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 programstock options401K matching100% medical/dental/vision coverageunlimited PTOmental health resourcespaid home office equipmentfitness reimbursementssupport paying for coursesand moreHiring at SpokeoWe 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.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.Recruiters or staffing agencies: Spokeo is not obligated to compensate any external recruiter or search firm who presents a candidate or their resume or profile to a Spokeo employee without 1) a current, fully executed agreement on file, and 2) being assigned to the open position (as a search) via our applicant tracking solution.Spokeo may use artificial intelligence-enabled tools to support portions of the recruiting process. These tools may help our recruiting team organize, review, and summarize application materials, candidate experience, and interview information. They may also identify potential inconsistencies or verification signals in application materials for further human review.AI-enabled tools assist our recruiting team but do not replace human judgment. Employment decisions are made by people based on a candidate's qualifications and the role's requirements.